El-Omari et al., 2012 - Google Patents

Scanned Document Image Segmentation Using Back-Propagation Artificial Neural Network Based Technique

El-Omari et al., 2012

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Document ID
5325037217637548594
Author
El-Omari N
Omari A
Al-Badarneh O
Abdel-jaber H
Publication year
Publication venue
International Journal of Computers and Communications

External Links

Snippet

Document images are composed of graphics, pictures, text, and background with varying number of colors. Based on the detected number of colors contained in a document image, a new approach for document image segmentation and classification using an Artificial Neural …
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Classifications

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    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4642—Extraction of features or characteristics of the image by performing operations within image blocks or by using histograms
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    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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    • H04N1/41—Bandwidth or redundancy reduction
    • H04N1/411—Bandwidth or redundancy reduction for the transmission or storage or reproduction of two-tone pictures, e.g. black and white pictures
    • H04N1/4115—Bandwidth or redundancy reduction for the transmission or storage or reproduction of two-tone pictures, e.g. black and white pictures involving the recognition of specific patterns, e.g. by symbol matching
    • G—PHYSICS
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    • H04N1/644—Systems for the transmission or the storage of the colour picture signal; Details therefor, e.g. coding or decoding means therefor using a reduced set of representative colours, e.g. each representing a particular range in a colour space
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