CN104834849B - Dual-factor identity authentication method and system based on Application on Voiceprint Recognition and recognition of face - Google Patents
Dual-factor identity authentication method and system based on Application on Voiceprint Recognition and recognition of face Download PDFInfo
- Publication number
- CN104834849B CN104834849B CN201510175828.5A CN201510175828A CN104834849B CN 104834849 B CN104834849 B CN 104834849B CN 201510175828 A CN201510175828 A CN 201510175828A CN 104834849 B CN104834849 B CN 104834849B
- Authority
- CN
- China
- Prior art keywords
- unit
- face
- vocal print
- user
- recognition
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 19
- 230000001755 vocal effect Effects 0.000 claims abstract description 82
- 239000013598 vector Substances 0.000 claims abstract description 48
- 238000001514 detection method Methods 0.000 claims abstract description 31
- 238000000605 extraction Methods 0.000 claims abstract description 22
- 238000012795 verification Methods 0.000 claims abstract description 17
- 230000001815 facial effect Effects 0.000 claims abstract description 15
- 238000012549 training Methods 0.000 claims description 10
- 238000001228 spectrum Methods 0.000 claims description 8
- 239000000284 extract Substances 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 4
- 230000003044 adaptive effect Effects 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 abstract description 10
- 230000008569 process Effects 0.000 abstract description 3
- 230000000694 effects Effects 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 8
- 230000006837 decompression Effects 0.000 description 7
- 230000009467 reduction Effects 0.000 description 3
- 238000007906 compression Methods 0.000 description 2
- 230000006835 compression Effects 0.000 description 2
- 238000013144 data compression Methods 0.000 description 2
- 210000000887 face Anatomy 0.000 description 2
- 238000000513 principal component analysis Methods 0.000 description 2
- 230000003542 behavioural effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 210000004709 eyebrow Anatomy 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 210000001525 retina Anatomy 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Landscapes
- Collating Specific Patterns (AREA)
Abstract
The present invention relates to the Dual-factor identity authentication method and system based on Application on Voiceprint Recognition and recognition of face, authentication method includes：Detect user's facial image；Mark key point；Face authentication unit verifies human face similarity degree；Generate password；Acquire voice data and User ID；To language data process；Content of text verification unit verifies password；Voiceprint unit verifies vocal print similarity.Verification System includes the Face datection unit set on client, facial key point calibration unit, face authentication unit, the first password generation unit, speech terminals detection unit, and voice recognition unit, content of text verification unit, vocal print feature vector extraction unit, voiceprint unit set on server end.The superior effect of the present invention is：Speech recognition is added on the basis of vocal print and recognition of face, improves the safety and reliability of certification；Password is in client and server end complete independently, safe and not with text or ciphertext in server end and client transmissions.
Description
Technical field
The invention belongs to mode identification technologies, are related to long-distance identity-certifying technology, and in particular to one kind being based on vocal print
The Dual-factor identity authentication method and system of identification and recognition of face.
Background technology
With mobile Internet high speed development and hand-held terminal device such as smart mobile phone, tablet computer it is universal, mutually
Security issues become increasingly urgent for networking.Currently, the either hardware digital certificate or E-token dynamic password card of bank, all only accomplish pair
The management of trusted terminal can not verify user identity.
Biometrics identification technology is the physiological characteristic or behavioural characteristic using people, to carry out the identification of personal identification.
The biological characteristic for being used for bio-identification has sound, fingerprint, face, iris, retina etc., and microphone and camera are generally deposited
It is existing mobile terminal, therefore by sound and face come to carry out authentication be most convenient, most economical solution.
Recognition of face is a kind of biometrics identification technology that the facial feature information based on people carries out identification, mainly
Including two big module of face registration and face authentication.Recognition of face acquires image or video flowing containing face using camera,
And automatic detect and track face in the picture, and then the face to detecting carries out a series of the relevant technologies processing of face.
The sound of people covers the information of multiple dimensions, such as speech content, the tone of speaking, sound speciality.Application on Voiceprint Recognition
It is a kind of technology distinguishing different speakers by the sound speciality of people, different channel structures determines the unique of vocal print
Property.Application on Voiceprint Recognition includes mainly two big modules：Voiceprint registration module and vocal print authentication module.Voiceprint registration refers to using choosing in advance
Fixed model models the speech samples of user, generates the sound-groove model of the user；When user asks authentication, profit
Request voice is authenticated with corresponding sound-groove model.User only Jing Guo voiceprint registration could use voiceprint work(
Energy.Application on Voiceprint Recognition combination speech content, can effectively avoid Replay Attack.
Invention content
It is an object of the invention to overcome deficiency in the prior art, provide a kind of based on Application on Voiceprint Recognition and recognition of face
Dual-factor identity authentication method and system.
The present invention is achieved by the following technical solutions：
Dual-factor identity authentication method based on Application on Voiceprint Recognition and recognition of face includes at least following steps：
S01：The human face region image of the Face datection unit detection request certification user；
S02:Unit, which is demarcated, by facial key point is detecting the facial key point of calibration in human face region；
S03:The face identification unit calculates the phase of the faceform for the registration that the face of the user is stored with client
Like degree, the face judging unit is used to judge whether human face similarity degree to be more than the threshold value of setting, if human face similarity degree is more than threshold
Value is then by entering S04, the authentification failure if human face similarity degree is less than threshold value；
S04:The first password generation unit is generated by random algorithm using current time and User ID as seed dynamic
State password text, while triggering the second password generated unit and generating identical dynamic password text；
The first password generation unit and the second password generated unit utilize current time and the user for being accurate to minute
ID generates dynamic password.
S05:The voice data that user reads dynamic password is acquired by voice collecting unit；And it is examined by sound end
The starting endpoint and end caps of unit detection user speech are surveyed, and the voice data of detection and User ID are sent to server
End；
S06:The received server-side voice data and User ID, the voice recognition unit is to the voice number that receives
According to progress voice recognition processing, and convert voice data into password text；
S07:The dynamic that the content of text verification unit generates the password text of conversion and the second password generated unit
Password text is compared, by entering S08 if password text is identical, if password text difference authentification failure；
S08:The vocal print feature vector extraction unit extracts vocal print feature vector, the sound from the voice data of user
Line recognition unit is calculated by inner product between the sound-groove model of the registration of user's vocal print feature vector and server end storage
Similarity, the vocal print judging unit be used for judge vocal print similarity whether be more than setting threshold value, if vocal print similarity is big
In threshold value then authentication success, the authentification failure if vocal print similarity is less than threshold value.
The technical solution is preferably, in the S08, the vocal print feature vector extraction unit extract vocal print feature to
When amount, it converts user speech to short-term spectrum characteristic sequence, calculates each frame frequency spectrum signature in each Gauss of global context model
Posterior probability on component obtains the gauss hybrid models of user using maximum posteriori criterion adaptive training, by Gauss
The mean value of Gaussian component is spliced to form high dimension vector in mixed model, and the high dimension vector is vocal print feature vector.
The technical solution is preferably that the short-term spectrum feature is linear pre- using mel-frequency cepstrum coefficient or perception
Survey coefficient.
The technical solution is preferably, in the S01, the human face region of the Face datection unit detection registration user
Image, and multiple human face region images are therefrom intercepted as face sample, and be stored in face modeling unit.
The technical solution is preferably the acquisition requirement of the face sample：Two adjacent human face region images
Time interval is at least 500 milliseconds and difference of the adjacent two human face region images on gray value is more than preset threshold
Value.
The technical solution is preferably, in the S06, the voice data and use of the received server-side registration user
Family ID converts voice data to the vocal print feature vector of regular length by vocal print feature vector extraction unit, and with user
ID is that index is stored in vocal print modeling unit.
The technical solution is preferably the registration user one or many voice data of typing in registration.
The present invention provides a kind of Dual-factor identity authentication system based on Application on Voiceprint Recognition and recognition of face, using it is described it is double because
Plain identity identifying method, the Dual-factor identity authentication system include being set to client and sequentially connected Face datection list
Member, facial key point calibration unit, face authentication unit, the first password generation unit, speech terminals detection unit, the face
Key point, which is demarcated, is equipped with face modeling unit between unit and the first password generation unit；Further include be set to server end and according to
Voice recognition unit, content of text verification unit, vocal print feature vector extraction unit, the voiceprint unit of secondary connection, it is described
Content of text verification unit is connect with the second password generated unit, and the vocal print being connect with vocal print feature vector extraction unit is built
Form unit.
The technical solution is preferably that the Face datection unit is equipped with video acquisition device；The video acquisition dress
It sets for acquiring user's human face region image.
The Face datection unit, when sending out ID authentication request, face is acquired by video acquisition device for user
Area image；The face key point calibration unit is used to determine the face position and profile in the human face region；Described
One password generation unit is for generating dynamic password text, by random algorithm using current time and User ID as seed, together
When triggering be set to the second password generated unit of server end and generate identical dynamic password text；The speech terminals detection
Unit is used to detect the starting endpoint and end caps of user speech, and the voice data of detection is sent to server end.
The voice recognition unit is used to the voice data that client is sent being converted into content of text；The content of text
The content of text that verification unit is used to send the dynamic password text that the second password generated unit generates with voice recognition unit
Be compared, if comparison result unanimously if pass through, if inconsistent authentification failure.The vocal print feature vector extraction unit is used for
Extraction can represent the vocal print feature vector of user's vocal print from voice data.The face modeling unit is used for from registration user
Choose multiple facial image samples in the video data of typing, and then establish faceform, the vocal print modeling unit be used for from
Extraction vocal print feature vector in the voice data of user's typing is registered, and then establishes sound-groove model.
The technical solution is preferably that the face authentication unit includes sequentially connected face identification unit and face
Judging unit.The face identification unit be used for calculate user face and client storage registered face model it is similar
Degree, the face judging unit are used to judge whether human face similarity degree to be more than the threshold value of setting.
The technical solution is preferably that the end-speech detection unit is equipped with voice collecting unit；The voice collecting
Unit is used to acquire the voice data that user reads dynamic password.
The technical solution is preferably that the voiceprint unit includes sequentially connected Application on Voiceprint Recognition unit and vocal print
Judging unit.The Application on Voiceprint Recognition unit is used to calculate the registration vocal print mould of the vocal print feature vector sum server end storage of user
Similarity between type, the vocal print judging unit are used to judge whether vocal print similarity to be more than the threshold value of setting.
The technical solution is preferably that the speech terminals detection unit is equipped with real time data transmission unit；Institute's predicate
Sound recognition unit is equipped with real time data receiving unit.The real time data transmission unit is for acquiring speech terminals detection unit
Voice data be sent to server end, the real time data receiving unit is for receiving the voice data that client is sent.
The technical solution is preferably that number is equipped between the speech terminals detection unit and real time data transmission unit
According to compression unit, data decompression unit is equipped between the voice recognition unit and real time data receiving unit.The data pressure
For compressing voice data, the data decompression unit is used for voice data decompression contracting unit.
The technical solution is preferably that the Verification System includes iterative testing unit, for checking request user
Whether registered in client and server end, and whether registers corresponding faceform and sound-groove model.
The technical solution is preferably that the Verification System includes faceform's training unit and vocal print model training list
Member；Faceform's training unit is used to train the face of the registration user according to facial image input by user is registered
Model, and it is stored in client, the sound-groove model training unit is used to, according to voice data input by user is registered, train institute
The sound-groove model of registration user is stated, and is stored in server end.
Compared with prior art, superior effect of the invention is：On the basis of Application on Voiceprint Recognition and recognition of face, it is added
Speech recognition verifies dynamic password, improves the safety and reliability of long-distance identity-certifying；The dynamic password is same
When in client and server end complete independently, and dynamic password need not be with text or ciphertext in server end and client
It is transmitted between end, has ensured that the dynamic password is not stolen and attacked by the third party in network transmission；Playback is taken precautions against
Swarm into attack, enhance the safety of certification.
Description of the drawings
Fig. 1 is the structural schematic diagram of the Dual-factor identity authentication system based on Application on Voiceprint Recognition and recognition of face；
Fig. 2 is the Dual-factor identity authentication method implementation flow chart based on Application on Voiceprint Recognition and recognition of face；
Fig. 3 is registration process implementation flow chart in identity identifying method described in Fig. 2.
Attached drawing mark is as follows：
11- Face datections unit, 12- face key points calibration unit, 13- face authentications unit, 131- recognition of face lists
Member, 132- faces judging unit, the first passwords of 14- generation unit, 15- speech terminals detections unit, 16- faces modeling unit,
21- voice recognition units, 22- content of text verification unit, 23- vocal print feature vectors extraction unit, 24- voiceprints unit,
241- Application on Voiceprint Recognition unit, 242- vocal prints judging unit, the second password generateds of 25- unit, 26- vocal print modeling units.
Specific implementation mode
The specific embodiment of the invention is described in further detail below in conjunction with the accompanying drawings.
As shown in Fig. 1, the Dual-factor identity authentication system of the present invention based on Application on Voiceprint Recognition and recognition of face, including
It is set to client and sequentially connected Face datection unit 11, facial key point calibration unit 12, face authentication unit 13, the
One password generation unit 14, speech terminals detection unit 15, the face key point calibration unit 12 and the first password generated list
Face modeling unit 16 is equipped between member 14；Further include being set to server end and sequentially connected voice recognition unit 21, text
This content authentication unit 22, vocal print feature vector extraction unit 23, voiceprint unit 24, the content of text verification unit 22
25 are connect with the second password generated unit, and the vocal print modeling unit 26 being connect with vocal print feature vector extraction unit 23.
The Face datection unit 11 is equipped with video acquisition device (not shown)；The video acquisition device is for acquiring
User's human face region image.The Face datection unit 11, when sending out ID authentication request, passes through video acquisition for user
Device acquires human face region image；The face key point calibration unit 12 is used to determine the face position in the human face region
It sets, eye position, eyebrow position, nose shape and profile；The first password generation unit 14 is for generating dynamic password text
This, by random algorithm using current time and User ID as seed, while triggering is set to the second password life of server end
Identical dynamic password text is generated at unit 25；The speech terminals detection unit 15 is used to detect the initiating terminal of user speech
Point and end caps, server end is sent to by the voice data of detection.The face modeling unit 16 is used for from registration user
Multiple facial image samples are chosen in the video data of typing, and then establish faceform.
The end-speech detection unit 15 is equipped with voice collecting unit (not shown), such as microphone；The voice collecting
Unit is used to acquire the voice data that user reads dynamic password.When the speech terminals detection unit 15 detects, every 20 millis
Second calculates the energy of current speech segment, if present energy is higher than preset threshold value, by current clip labeled as effective
Otherwise current clip is labeled as invalid voice segment by sound bite.Record the number of efficient voice segment and invalid voice segment
Mesh shows that user reads dynamic password knot if 10 invalid voice segments and efficient voice segments continuously occur is more than 50
Beam, the voice collecting unit stop acquisition voice data.Then it is by the position mark that first efficient voice segment occurs
Voice starting endpoint, the position mark that the last one efficient voice segment is occurred are voice end caps.The vocal print modeling
Unit 26 is used for the extraction vocal print feature vector from the voice data of registration user's typing, and then establishes sound-groove model.
The face authentication unit 13 includes sequentially connected face identification unit 131 and face judging unit 132.It is described
Face identification unit 131 is used to calculate the similarity of the faceform of the face of user and the registration of client storage, the people
Face judging unit 132 is used to judge whether human face similarity degree to be more than the threshold value of setting.
The voiceprint unit 24 includes sequentially connected Application on Voiceprint Recognition unit 241 and vocal print judging unit 242.It is described
Application on Voiceprint Recognition unit 241 is used to calculate between the sound-groove model of the registration of the vocal print feature vector sum server end storage of user
Similarity, the vocal print judging unit 242 are used to judge whether vocal print similarity to be more than the threshold value of setting.
The speech terminals detection unit 15 is equipped with real time data transmission unit (not shown)；The voice recognition unit
21 are equipped with real time data receiving unit (not shown).The real time data transmission unit is used for speech terminals detection unit 15
The voice data of acquisition is sent to server end, and the real time data receiving unit is for receiving the voice number that client is sent
According to.Further, data compression unit is equipped between the speech terminals detection unit 15 and real time data transmission unit (in figure
Do not show), data decompression unit (not shown) is equipped between the voice recognition unit 21 and real time data receiving unit.It is described
For compressing voice data, the data decompression unit is used for voice data decompression data compression unit.By to client
End further reduced the bandwidth requirement of network transmission to input compress speech and real-time network transmission technology；It is servicing simultaneously
Device end real-time reception and data decompression greatly improve user's registration and the response speed of verification process.
A kind of Dual-factor identity authentication method based on Application on Voiceprint Recognition and recognition of face of the present invention, as shown in Fig. 2, using upper
Dual-factor identity authentication system is stated, is included the following steps：
S01：The human face region image of the detection of the Face datection unit 11 request certification user；The Face datection unit
The human face region image of 11 detection registration users, and multiple human face region images are therefrom intercepted as face sample, and be stored in
In face modeling unit 16；The acquisition requirement of the face sample：The time interval of two adjacent human face region images is at least
For 500 milliseconds and difference of the adjacent two human face region images on gray value is more than preset threshold value.
S02:Unit 12, which is demarcated, by facial key point is detecting the facial key point of calibration in human face region.
S03:The face identification unit 131 calculates the face of the user with the faceform's of the registration of client storage
Similarity, the face judging unit 132 are used to judge whether human face similarity degree to be more than the threshold value of setting, if human face similarity degree is big
In threshold value then by entering S04, the authentification failure if human face similarity degree is less than threshold value.
S04:The first password generation unit 14 is generated using current time and User ID as seed by random algorithm
Dynamic password text, while triggering the second password generated unit 25 and generating identical dynamic password text.The first password life
At unit 14 and the second password generated unit 25 dynamic password text is generated using the current time and User ID for being accurate to minute.
S05:The voice data that user reads dynamic password is acquired by voice collecting unit；And it is examined by sound end
It surveys unit 15 and detects the starting endpoint and end caps of user speech, and the voice data of detection and User ID are sent to service
Device end.
S06:The received server-side voice data and User ID, the voice recognition unit 21 is to the voice that receives
Data carry out voice recognition processing, and convert voice data into password text.The language of the received server-side registration user
Sound data and User ID, by vocal print feature vector extraction unit 23 convert voice data to the vocal print feature of regular length to
Amount, and be that index is stored in vocal print modeling unit 26 with User ID；Registration user typing in registration is one or many
Voice data.
S07:The content of text verification unit 22 generates the password text of conversion and the second password generated unit 25
Dynamic password text is compared, by entering S08 if password text is identical, if password text difference authentification failure.
S08:The vocal print feature vector extraction unit 23 extracts vocal print feature vector from the voice data of user, described
The sound-groove model of user's vocal print feature vector and the registration of server end storage is calculated by inner product for Application on Voiceprint Recognition unit 241
Between similarity, the vocal print judging unit 242 be used for judge vocal print similarity whether be more than setting threshold value, if vocal print phase
It is more than threshold value then authentication success, the authentification failure if vocal print similarity is less than threshold value like degree.
When the vocal print feature vector extraction unit 23 extracts vocal print feature vector, it converts user speech to short-term spectrum
Characteristic sequence calculates posterior probability of each frame frequency spectrum signature in each Gaussian component of global context model, utilizes maximum a posteriori
Canon of probability adaptive training obtains the gauss hybrid models of user, and the mean value of Gaussian component in gauss hybrid models is spliced shape
At high dimension vector, the high dimension vector is vocal print feature vector.The short-term spectrum feature is using mel-frequency cepstrum coefficient, sense
Know linear predictor coefficient.
For the present invention by principal component analysis to the vocal print feature vector dimensionality reduction, compression sound-groove model size improves vocal print
Similarity calculation module speed；It specifically includes and is based on background sound training dataset, utilize vocal print feature vector extraction unit 23
Extract data set in each voice vocal print feature vector, using principal component analysis calculate corresponding characteristic value and feature to
Amount, characteristic value is sorted from big to small, is chosen the feature vector corresponding to top n characteristic value and is constituted the feature son sky after dimensionality reduction
Between, dimensionality reduction is carried out to registration vocal print feature vector sum certification vocal print feature vector using the subspace, obtains N-dimensional vocal print feature
Vector.
Present invention is not limited to the embodiments described above, without departing from the essence of the present invention, this field skill
Any deformation, improvement, the replacement that art personnel are contemplated that each fall within the scope of the present invention.
Claims (5)
1. the authentication method of the Dual-factor identity authentication system based on Application on Voiceprint Recognition and recognition of face, the Dual-factor identity authentication
System include be set to client and sequentially connected Face datection unit, facial key point calibration unit, face authentication unit,
First password generation unit, speech terminals detection unit, it is described face key point calibration unit and the first password generation unit it
Between be equipped with face modeling unit；Further include being set to server end and sequentially connected voice recognition unit, content of text verification
Unit, vocal print feature vector extraction unit, voiceprint unit, the content of text verification unit and the second password generated unit
It connects, and the vocal print modeling unit being connect with vocal print feature vector extraction unit；The Face datection unit is adopted equipped with video
Acquisition means；The speech terminals detection unit is equipped with voice collecting unit；The voiceprint unit includes sequentially connected sound
Line recognition unit and vocal print judging unit；The Verification System includes faceform's training unit and vocal print model training unit；
It is characterized in that, including at least following steps：
S01：The human face region image of Face datection unit detection request certification user；
S02:Unit, which is demarcated, by facial key point is detecting the facial key point of calibration in human face region；
S03:Face identification unit calculates the similarity of the face and the faceform of the registration of client storage of the user, face
Judging unit is used to judge whether human face similarity degree to be more than the threshold value of setting, passes through entrance if human face similarity degree is more than threshold value
S04, the authentification failure if human face similarity degree is less than threshold value；
S04:First password generation unit generates dynamic password text using current time and User ID by random algorithm as seed
This, while triggering the second password generated unit and generating identical dynamic password text；
S05:The voice data that user reads dynamic password is acquired by voice collecting unit；And pass through speech terminals detection list
The starting endpoint and end caps of member detection user speech, and the voice data of detection and User ID are sent to server end；
S06:The received server-side voice data and User ID, voice recognition unit carry out language to the voice data received
Sound identifying processing, and convert voice data into password text；
S07:The dynamic password text that content of text verification unit generates the password text of conversion and the second password generated unit
It is compared, by entering S08 if password text is identical, if password text difference authentification failure；
S08:Vocal print feature vector extraction unit extracts vocal print feature vector from the voice data of user, and Application on Voiceprint Recognition unit is logical
Cross the similarity between the sound-groove model for the registration that user's vocal print feature vector and server end storage is calculated in inner product, vocal print
Judging unit be used for judge vocal print similarity whether be more than setting threshold value, if vocal print similarity be more than threshold value if authentication at
Work(, the authentification failure if vocal print similarity is less than threshold value.
2. the authenticating party of the Dual-factor identity authentication system according to claim 1 based on Application on Voiceprint Recognition and recognition of face
Method, which is characterized in that in the S01, the human face region image of the Face datection unit detection registration user, and therefrom intercept
Multiple human face region images are stored in as face sample in face modeling unit.
3. the authenticating party of the Dual-factor identity authentication system according to claim 1 based on Application on Voiceprint Recognition and recognition of face
Method, which is characterized in that in the S06, the voice data and User ID of the received server-side registration user pass through vocal print spy
The vectorial extraction unit of sign converts voice data to the vocal print feature vector of regular length, and is that index is stored in sound with User ID
In line modeling unit.
4. the authenticating party of the Dual-factor identity authentication system according to claim 3 based on Application on Voiceprint Recognition and recognition of face
Method, which is characterized in that the registration user one or many voice data of typing in registration.
5. the authenticating party of the Dual-factor identity authentication system according to claim 1 based on Application on Voiceprint Recognition and recognition of face
Method, which is characterized in that in the S08, when the vocal print feature vector extraction unit extracts vocal print feature vector, by user speech
It is converted into short-term spectrum characteristic sequence, it is general to calculate posteriority of each frame frequency spectrum signature in each Gaussian component of global context model
Rate obtains the gauss hybrid models of user using maximum posteriori criterion adaptive training, by Gauss in gauss hybrid models
The mean value of component is spliced to form high dimension vector, and the high dimension vector is vocal print feature vector.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510175828.5A CN104834849B (en) | 2015-04-14 | 2015-04-14 | Dual-factor identity authentication method and system based on Application on Voiceprint Recognition and recognition of face |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510175828.5A CN104834849B (en) | 2015-04-14 | 2015-04-14 | Dual-factor identity authentication method and system based on Application on Voiceprint Recognition and recognition of face |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104834849A CN104834849A (en) | 2015-08-12 |
| CN104834849B true CN104834849B (en) | 2018-09-18 |
Family
ID=53812731
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510175828.5A Active CN104834849B (en) | 2015-04-14 | 2015-04-14 | Dual-factor identity authentication method and system based on Application on Voiceprint Recognition and recognition of face |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104834849B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106991312A (en) * | 2017-04-05 | 2017-07-28 | 百融（北京）金融信息服务股份有限公司 | Internet based on Application on Voiceprint Recognition is counter to cheat authentication method |
Families Citing this family (62)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106570443A (en) * | 2015-10-09 | 2017-04-19 | 芋头科技（杭州）有限公司 | Rapid identification method and household intelligent robot |
| CN105426723A (en) * | 2015-11-20 | 2016-03-23 | 北京得意音通技术有限责任公司 | Voiceprint identification, face identification and synchronous in-vivo detection-based identity authentication method and system |
| CN105429761B (en) * | 2015-12-29 | 2018-12-25 | 宇龙计算机通信科技(深圳)有限公司 | A kind of key generation method and device |
| CN106127156A (en) * | 2016-06-27 | 2016-11-16 | 上海元趣信息技术有限公司 | Robot interactive method based on vocal print and recognition of face |
| CN106448685B (en) * | 2016-10-09 | 2019-11-22 | 北京远鉴科技有限公司 | A kind of voiceprint authentication system and method based on phoneme information |
| CN107933501A (en) * | 2016-10-12 | 2018-04-20 | 德尔福电子(苏州)有限公司 | A kind of automobile initiating means identified based on recognition of face and vocal print cloud |
| CN106782567B (en) * | 2016-11-11 | 2020-04-03 | 深圳前海微众银行股份有限公司 | Method and device for establishing voiceprint model |
| CN106355171A (en) * | 2016-11-24 | 2017-01-25 | 深圳凯达通光电科技有限公司 | Video monitoring internetworking system |
| CN106790054A (en) * | 2016-12-20 | 2017-05-31 | 四川长虹电器股份有限公司 | Interactive authentication system and method based on recognition of face and Application on Voiceprint Recognition |
| CN108959874A (en) * | 2017-05-17 | 2018-12-07 | 武汉默联股份有限公司 | Information Authentication method and device |
| CN107820591A (en) * | 2017-06-12 | 2018-03-20 | 美的集团股份有限公司 | Control method, controller, Intelligent mirror and computer-readable recording medium |
| CN109215643B (en) * | 2017-07-05 | 2023-10-24 | 阿里巴巴集团控股有限公司 | Interaction method, electronic equipment and server |
| CN107895576A (en) * | 2017-11-10 | 2018-04-10 | 北京康力优蓝机器人科技有限公司 | The identification of service robot starts method and device |
| CN108038360B (en) * | 2017-11-15 | 2020-07-21 | 维沃移动通信有限公司 | Operation mode switching method and mobile terminal |
| CN108052813A (en) * | 2017-11-30 | 2018-05-18 | 广东欧珀移动通信有限公司 | Unlocking method, device and the mobile terminal of terminal device |
| CN108171032A (en) * | 2017-12-01 | 2018-06-15 | 平安科技（深圳）有限公司 | A kind of identity identifying method, electronic device and computer readable storage medium |
| CN108109277A (en) * | 2017-12-05 | 2018-06-01 | 中科富创（北京）科技有限公司 | A kind of express delivery pickup method and system |
| CN110010135B (en) * | 2018-01-05 | 2024-05-07 | 北京搜狗科技发展有限公司 | Speech-based identity recognition method and device and electronic equipment |
| CN110069963A (en) * | 2018-01-24 | 2019-07-30 | 南京机器人研究院有限公司 | A kind of user ID authentication method based on robot |
| CN108390884A (en) * | 2018-03-01 | 2018-08-10 | 北京得意音通技术有限责任公司 | A kind of identity identifying method and device |
| CN110300086A (en) * | 2018-03-22 | 2019-10-01 | 北京语智科技有限公司 | Personal identification method, device, system and equipment |
| CN108712381A (en) * | 2018-04-16 | 2018-10-26 | 出门问问信息科技有限公司 | A kind of auth method and device |
| CN108446674A (en) * | 2018-04-28 | 2018-08-24 | 平安科技（深圳）有限公司 | Electronic device, personal identification method and storage medium based on facial image and voiceprint |
| CN108846676B (en) * | 2018-08-02 | 2023-07-11 | 平安科技（深圳）有限公司 | Biological feature auxiliary payment method, device, computer equipment and storage medium |
| CN109064685A (en) * | 2018-08-13 | 2018-12-21 | 唐山理化科技有限公司 | Convenient withdrawal system and method |
| TWI671685B (en) * | 2018-09-19 | 2019-09-11 | 和碩聯合科技股份有限公司 | Face recognition method and electronic device using the same |
| CN109543377A (en) * | 2018-10-17 | 2019-03-29 | 深圳壹账通智能科技有限公司 | Auth method, device, computer equipment and storage medium |
| CN111104658A (en) * | 2018-10-25 | 2020-05-05 | 北京嘀嘀无限科技发展有限公司 | Registration method and device, authentication method and device |
| TWI679584B (en) * | 2018-11-09 | 2019-12-11 | 浩鑫股份有限公司 | Human recognition method based on data fusion |
| CN109614881B (en) * | 2018-11-19 | 2021-04-27 | 中国地质大学（武汉） | Biometric authentication method and device capable of adaptively adjusting threshold value and storage device |
| CN109614804B (en) * | 2018-11-19 | 2021-04-27 | 中国地质大学（武汉） | Bimodal biological characteristic encryption method, device and storage device |
| CN109767335A (en) * | 2018-12-15 | 2019-05-17 | 深圳壹账通智能科技有限公司 | Double record quality detecting methods, device, computer equipment and storage medium |
| CN111368145A (en) * | 2018-12-26 | 2020-07-03 | 沈阳新松机器人自动化股份有限公司 | Knowledge graph creating method and system and terminal equipment |
| CN110020519A (en) * | 2019-01-08 | 2019-07-16 | 阿里巴巴集团控股有限公司 | A kind of identity checking method, device and electronic equipment |
| CN110738114A (en) * | 2019-01-24 | 2020-01-31 | 中铁三局集团有限公司 | student identity safety verification system for online education |
| CN109920436A (en) * | 2019-01-28 | 2019-06-21 | 武汉恩特拉信息技术有限公司 | It is a kind of that the device and method of ancillary service is provided |
| CN109657661A (en) * | 2019-02-22 | 2019-04-19 | 江苏岐凤科技有限公司 | A kind of Dual-factor identity authentication system of Application on Voiceprint Recognition and recognition of face |
| CN109658579A (en) * | 2019-02-28 | 2019-04-19 | 中新智擎科技有限公司 | A kind of access control method, system, equipment and storage medium |
| CN109918680B (en) * | 2019-03-28 | 2023-04-07 | 腾讯科技（上海）有限公司 | Entity identification method and device and computer equipment |
| CN110379433B (en) * | 2019-08-02 | 2021-10-08 | 清华大学 | Identity authentication method and device, computer equipment and storage medium |
| CN110516426A (en) * | 2019-08-21 | 2019-11-29 | 广州国音智能科技有限公司 | Identity identifying method, certification terminal, device and readable storage medium storing program for executing |
| CN110460872B (en) * | 2019-09-05 | 2022-03-04 | 腾讯科技（深圳）有限公司 | Information display method, device and equipment for live video and storage medium |
| CN110866234B (en) * | 2019-09-29 | 2022-06-07 | 南京大学 | Identity verification system based on multiple biological characteristics |
| CN110909613B (en) * | 2019-10-28 | 2024-05-31 | Oppo广东移动通信有限公司 | Video character recognition method and device, storage medium and electronic equipment |
| CN111130794B (en) * | 2019-12-12 | 2020-11-24 | 吉林大学 | Identity verification method based on iris and private key certificate chain connection storage structure |
| CN111275858B (en) * | 2020-01-22 | 2022-07-01 | 广东快车科技股份有限公司 | Credit granting method and system for voiceprint recognition |
| CN111738078A (en) * | 2020-05-19 | 2020-10-02 | 云知声智能科技股份有限公司 | Face recognition method and device |
| CN111611437A (en) * | 2020-05-20 | 2020-09-01 | 浩云科技股份有限公司 | Method and device for preventing face voiceprint verification and replacement attack |
| CN111554307A (en) * | 2020-05-20 | 2020-08-18 | 浩云科技股份有限公司 | Voiceprint acquisition registration method and device |
| CN111611569A (en) * | 2020-05-20 | 2020-09-01 | 浩云科技股份有限公司 | Face voiceprint rechecking terminal and identity authentication method thereof |
| CN111831201A (en) * | 2020-05-25 | 2020-10-27 | 中国人民解放军陆军军医大学第二附属医院 | Human-computer interaction system and method for automatically detecting bone marrow cell morphology |
| CN111862705A (en) * | 2020-06-24 | 2020-10-30 | 北京安博盛赢教育科技有限责任公司 | Method, device, medium and electronic equipment for prompting live broadcast teaching target |
| CN111883106B (en) * | 2020-07-27 | 2024-04-19 | 腾讯音乐娱乐科技（深圳）有限公司 | Audio processing method and device |
| CN111862413A (en) * | 2020-07-28 | 2020-10-30 | 公安部第三研究所 | Method and system for realizing epidemic situation resistant non-contact multidimensional identity rapid identification |
| CN112052994A (en) * | 2020-08-28 | 2020-12-08 | 中信银行股份有限公司 | Customer complaint upgrade prediction method and device and electronic equipment |
| CN112053695A (en) * | 2020-09-11 | 2020-12-08 | 北京三快在线科技有限公司 | Voiceprint recognition method and device, electronic equipment and storage medium |
| CN112733591A (en) * | 2020-11-19 | 2021-04-30 | 阿坝师范学院 | Face recognition system for checking in of examination room |
| CN112562150A (en) * | 2020-11-23 | 2021-03-26 | 深圳华颐智能系统有限公司 | Student apartment management method, device, system and medium based on face recognition |
| CN112231510B (en) * | 2020-12-17 | 2021-03-16 | 北京远鉴信息技术有限公司 | Voiceprint storage method, voiceprint query method, server and storage medium |
| CN115373280A (en) * | 2021-05-20 | 2022-11-22 | 海信集团控股股份有限公司 | Remote voice control method, device and system |
| CN113901418B (en) * | 2021-10-19 | 2024-10-22 | 中国平安人寿保险股份有限公司 | Video-based identity verification method and device, computer equipment and storage medium |
| CN117153163A (en) * | 2023-10-08 | 2023-12-01 | 桂林航天工业学院 | Hand rehabilitation method, system, storage medium and terminal based on voice interaction |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101075868A (en) * | 2006-05-19 | 2007-11-21 | 华为技术有限公司 | Long-distance identity-certifying system, terminal, servo and method |
| CN103440686A (en) * | 2013-07-29 | 2013-12-11 | 上海交通大学 | Mobile authentication system and method based on voiceprint recognition, face recognition and location service |
| CN103841108A (en) * | 2014-03-12 | 2014-06-04 | 北京天诚盛业科技有限公司 | Authentication method and system of biological characteristics of user |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102646190B (en) * | 2012-03-19 | 2018-05-08 | 深圳市腾讯计算机系统有限公司 | A kind of authentication method based on biological characteristic, apparatus and system |
| TWI456515B (en) * | 2012-07-13 | 2014-10-11 | Univ Nat Chiao Tung | Human identification system by fusion of face recognition and speaker recognition, method and service robot thereof |
| CN104158664A (en) * | 2014-08-11 | 2014-11-19 | 北京唐桓科技发展有限公司 | Identity authentication method and system |
| CN204576520U (en) * | 2015-04-14 | 2015-08-19 | 时代亿宝(北京)科技有限公司 | Based on the Dual-factor identity authentication device of Application on Voiceprint Recognition and recognition of face |
-
2015
- 2015-04-14 CN CN201510175828.5A patent/CN104834849B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101075868A (en) * | 2006-05-19 | 2007-11-21 | 华为技术有限公司 | Long-distance identity-certifying system, terminal, servo and method |
| CN103440686A (en) * | 2013-07-29 | 2013-12-11 | 上海交通大学 | Mobile authentication system and method based on voiceprint recognition, face recognition and location service |
| CN103841108A (en) * | 2014-03-12 | 2014-06-04 | 北京天诚盛业科技有限公司 | Authentication method and system of biological characteristics of user |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106991312A (en) * | 2017-04-05 | 2017-07-28 | 百融（北京）金融信息服务股份有限公司 | Internet based on Application on Voiceprint Recognition is counter to cheat authentication method |
| CN106991312B (en) * | 2017-04-05 | 2020-01-10 | 百融云创科技股份有限公司 | Internet anti-fraud authentication method based on voiceprint recognition |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104834849A (en) | 2015-08-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104834849B (en) | Dual-factor identity authentication method and system based on Application on Voiceprint Recognition and recognition of face | |
| EP3460697B1 (en) | Identity authentication method and apparatus | |
| WO2015135406A1 (en) | Method and system for authenticating biological characteristics of user | |
| KR101997371B1 (en) | Identity authentication method and apparatus, terminal and server | |
| US6810480B1 (en) | Verification of identity and continued presence of computer users | |
| WO2018113526A1 (en) | Face recognition and voiceprint recognition-based interactive authentication system and method | |
| US9177131B2 (en) | User authentication method and apparatus based on audio and video data | |
| WO2019104930A1 (en) | Identity authentication method, electronic device and computer-readable storage medium | |
| US11023709B2 (en) | System, method and apparatus for multi-modal biometric authentication and liveness detection | |
| US20100329568A1 (en) | Networked Face Recognition System | |
| CN104835497A (en) | Voiceprint card swiping system and method based on dynamic password | |
| US20160093129A1 (en) | System and Method of Enhanced Identity Recognition Incorporating Random Actions | |
| CN204576520U (en) | Based on the Dual-factor identity authentication device of Application on Voiceprint Recognition and recognition of face | |
| CN104901808A (en) | Voiceprint authentication system and method based on time type dynamic password | |
| CN111611437A (en) | Method and device for preventing face voiceprint verification and replacement attack | |
| WO2016058540A1 (en) | Identity authentication method and apparatus and storage medium | |
| CN204465555U (en) | Based on the voiceprint authentication apparatus of time type dynamic password | |
| CN114582078B (en) | Self-service deposit and withdrawal method and self-service deposit and withdrawal system | |
| Ruiz-Mezcua et al. | Biometrics verification in a real environment | |
| CN208939994U (en) | Mobile device for long-distance identity-certifying | |
| Kusumajaya et al. | Design of remote biometrics authentication system to access public services from remote area | |
| WO2022125046A1 (en) | A secure messaging system | |
| Lin et al. | Biometric authentication | |
| Atmakuri | A study of authentication techniques for mobile cloud computing | |
| CN113823027A (en) | Intelligent non-inductive passing control system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| EXSB | Decision made by sipo to initiate substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 100142 East 9A, Hui Hui building, No. 158 West Fourth Ring Road, Beijing, Haidian District Applicant after: Beijing Yuanjian Technologies Co.,Ltd. Address before: 100142 East 9A, Hui Hui building, No. 158 West Fourth Ring Road, Beijing, Haidian District Applicant before: TimeSafer (Beijing) Technology Co.,Ltd. |
|
| COR | Change of bibliographic data | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP01 | Change in the name or title of a patent holder |
Address after: 9A, East District, Huike Building, No. 158 West Fourth Ring North Road, Haidian District, Beijing, 100142 Patentee after: Beijing Yuan Jian Polytron Technologies Inc. Address before: 9A, East District, Huike Building, No. 158 West Fourth Ring North Road, Haidian District, Beijing, 100142 Patentee before: Beijing Yuanjian Technologies Co.,Ltd. |
|
| CP01 | Change in the name or title of a patent holder | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20231020 Address after: No. 016, Xiaocuigezhuang Village, Gaolou Town, Sanhe City, Langfang City, Hebei Province, 065200 Patentee after: Liu Xuefeng Address before: 9A, East District, Huike Building, No. 158 West Fourth Ring North Road, Haidian District, Beijing, 100142 Patentee before: Beijing Yuan Jian Polytron Technologies Inc. |
|
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240223 Address after: Room 320, 3rd Floor, Building A, No. 119 West Fourth Ring North Road, Haidian District, Beijing, 100000 Patentee after: Beijing Yuanjian Information Technology Co.,Ltd. Country or region after: China Address before: No. 016, Xiaocuigezhuang Village, Gaolou Town, Sanhe City, Langfang City, Hebei Province, 065200 Patentee before: Liu Xuefeng Country or region before: China |
|
| TR01 | Transfer of patent right |