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Fingerprints are rich in details which are in the form of discontinuities in ridges known as minutiae and are unique for each person. One of the most important tasks considering an automatic fingerprint recognition system is the minutiae biometric pattern extraction from the captured image of the fingerprint. The fingerprint matcher compares features by using Digital Image processing from input search point against all appropriate driving licences in the database to determine if a probable match exists. With this implementation, there'll be no need to carry documents along. A single fingerprint and an image will be enough to recognise and verify the individual and the vehicle. Mobile platforms such as smart-phones and tablet computers have attained the technological capacity to perform tasks beyond their intended purposes. The steady increase of processing power has enticed researches to attempt increasingly challenging tasks on mobile devices with appropriate modifications over...
To check non-licensees as of driving and consequently happening the a c c i d e n t s one of the new system is introduced. Most important and very unfailing person recognition system is biometric verification. biometric verification is one of the most well-liked and personal biometric verification system. This system consists of a some amount of memory capability to store the thumb print of particular person. although providing the license, the particular candidates thumbprint reader is to be stored in the memory of reader. Vehicles like cars, bikes etc. must have a the reader capable of reading the particular license. The similar vehicle should have the capacity of thumbprint reader component. A man, who is going to drive the vehicle, should keep the thumb on the reader the card (license) in the vehicle and then swipe his/her finger. If the thumb print stored in the module and thumbprint swiped in the device matches, he/she can drive the vehicle, or else ignition will not work. in addition, and also the system is having the seat belt then prompts the user to wear the seat belt before driving. So that system increase the safekeeping of vehicles and also ensures protected driving by prevent accident. Keywords-to protect the driver, T h u m b p r i n t , T h u m b p r i n t r e a d e r , License, Ignition system INTRODUCTION The main objective of this project is to prevent non-licensees from driving and causing accidents, a new system is proposed. An important and very reliable human identification method is fingerprint identification. Fingerprint identification is one of the most popular and reliable personal biometric identification methods. Existing security principle for the vehicles uses remote control access technology. No strong security systems designed so far. So car thefts have increased in large numbers. In this project we have developed seat belt detector, door lock sensor, alcohol sensor and Bio metric sensors. All stages need to be cleared to switch on the ignition. All stages can be performed sequentially.
International journal of scientific research in computer science, engineering and information technology, 2019
At present era in our country there are so many people who are not having their original driving license with them. Some of the people are maintaining fake license, due to this the ratio of accidents increasing day to day. The proposed approach of data mining can be helpful for getting the original documents online basis based on fingerprint. In order to avoid this kind of problems the project is proposed to provide driving license verification system using fingerprint reader. finger prints of the user will be taken and their respective details like license identification number, photo, adhaar card number are maintain along with the driving license database. The officers want to check the driving license of vehicles; the verification system is used to authentication liability of the vehicle user license.
To prevent non-licensees from driving and therefore causing accidents, a new system is proposed. Fingerprint identification is most reliable and important method in human identification. Fingerprint identification is one of the most popular and reliable personal biometric identification methods. The proposed system consists of a smart card capable of storing the fingerprint of particular person. The licence issued by a person has stored their fingerprint in the card. Vehicles such as cars, bikes etc. should have a card reader capable of reading the particular license. The same vehicle should have the facility of fingerprint reader device. A person, who wishes to drive the vehicle, should insert the card (license) in the vehicle and then swipe his/her finger. If the finger print stored in the card and fingerprint swiped in the device matches, he/she can proceed for ignition, otherwise ignition system in particular vehicle will not work. Moreover, the seat belt detector verifies and then prompts the user to wear the seat belt before driving. This provide the security of vehicles and also ensures safe driving by preventing accidents.
The main objective of this project is to prevent non-licensees from driving and causing accidents, a new system is proposed. An important and very reliable human identification method is fingerprint identification. Fingerprint identification is one of the most popular and reliable personal biometric identification methods. Existing security principle for the vehicles uses remote control access technology. No strong security systems designed so far. So car thefts have increased in large numbers. In this project we have developed seat belt detector, door lock sensor, alcohol sensor and Bio metric sensors. All stages need to be cleared to switch on the ignition. All stages can be performed sequentially.
IRJET, 2021
Proposed system is replaced with a current system for checking licensed drivers.it will take less time to identify registered and licensed users with the help of fingerprint. The system will contain Arduino kit, fingerprint scanner and Bluetooth module.To store data, we use the MySQL database which is stored on cloud. The prototype of our system is displaying the information of licensed user. It will take a fingerprint of the user and it will display age, name, license id,gender on the screen.
To issue driving license is a very tedious task for the government to monitor. While driving, it is very difficult task to carry all documents which required for driving purpose. Ecupboard is RTO document checking using fingerprint authentication web based system. Our system has User (requesting driving license) login, admin login and Traffic police login type. To check documents traffic police will take fingerprint, ADHAR card number as input. It will open profile of user which include issued document list. The list have document list which can be viewed by traffic police. If driver doesn't have valid document then automatically fine/penalty will be generated according to rules. On the other side RTO office have all digital document which have stored in centralized database. If person wants to generate his license then he should submit all required information, document and fingerprint on E-cupboard System. Then E-cupboard System issue digitalized license and digital image of fingerprint which is stored in centralized database. Same process is used to generate smart card and RC book.
This paper provides the design method of wireless fingerprint based driving license verification system on ZigBee technology. The system includes terminal fingerprint acquisition, processing, wireless transmission, fingerprint matching, and verification process. The current system involves manual verification of license which is difficult to monitor. The issues of forgery of licenses of migrant people are a serious issue from the security point of view. The issues regarding the fake identity have been raised. In order to overcome such problems and to achieve the simple and high real-time system, we are proposing a low-cost and high-performance wireless driving license verification function, which provides a new wireless driving license system which will be helpful for traffic police and RTOs.
International Journal of Engineering Research and Technology (IJERT), 2013
https://www.ijert.org/finger-print-matching-algorithm-for-android https://www.ijert.org/research/finger-print-matching-algorithm-for-android-IJERTV2IS101166.pdf We propose a secure robust, and low cost biometric authentication system on the mobile devices. Mobile computing devices such as Smartphone's, tablets and wireless enabled laptops are getting widely popular and being frequently used to access information in secure networks through third party providers. With the increasing number of intrusion, device and identity theft incidents, improved security measures are becoming essential for accessing devices as well as various mobile applications. Hence security is of paramount importance in today's world. The project we propose to make will firstly need the user to register with application the user will have to provide credentials along with his fingerprints and the fingerprint of the member to grant his access to information. After registering with one just has to authenticate using fingerprint if the fingerprint matched with that of the stored in database the required information is displayed in this way, the user need not remember any password in order to log in to application. This will reduce the cumbersome task of remembering the password and increase the security as the fingerprint is unique. The proposed architecture is expected to provide secure access to only legitimate users of a system within a short period of time and prohibit intruders from gaining any access.
IEEE transactions on pattern …, 1997
Fingerprint verification is one of the most reliable personal identification methods. However, manual fingerprint verification is so tedious, time-consuming, and expensive that it is incapable of meeting today's increasing performance requirements. An automatic fingerprint identification system (AFIS) is widely needed. It plays a very important role in forensic and civilian applications such as criminal identification, access control, and ATM card verification. This paper describes the design and implementation of an on-line fingerprint verification system which operates in two stages: minutia extraction and minutia matching. An improved version of the minutia extraction algorithm proposed by Ratha et al., which is much faster and more reliable, is implemented for extracting features from an input fingerprint image captured with an on-line inkless scanner. For minutia matching, an alignment-based elastic matching algorithm has been developed. This algorithm is capable of finding the correspondences between minutiae in the input image and the stored template without resorting to exhaustive search and has the ability of adaptively compensating for the nonlinear deformations and inexact pose transformations between fingerprints. The system has been tested on two sets of fingerprint images captured with inkless scanners. The verification accuracy is found to be acceptable. Typically, a complete fingerprint verification procedure takes, on an average, about eight seconds on a SPARC 20 workstation. These experimental results show that our system meets the response time requirements of on-line verification with high accuracy.
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