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System for template based extracting information from an identity card

  • US 8,610,966 B2
  • Filed: 02/03/2011
  • Issued: 12/17/2013
  • Est. Priority Date: 10/06/2004
  • Status: Active Grant
First Claim
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1. A system for automatically extracting information from an identity document, the system comprising:

  • a) at least one light source for illuminating the identity document;

    b) at least one digital camera including a lens and a two-dimensional sensor array configured to acquire at least one two-dimensional image frame of the identity document; and

    c) a processor for processing said at least one two-dimensional image frame, said processor being in communication flow with a document-template database, said processor is configured to apply an optical character recognition (OCR) routine for extracting textual information from said at least one two-dimensional image frame of the identity document in the form of alphanumerical information, wherein said OCR routine includes;

    i) determining a type of the identity document;

    ii) fetching a matching template from said document-template database, wherein said matching template corresponds to said determined type of the identity document, and wherein said template includes one or more data fields;

    iii) overlaying said at least one two-dimensional image frame with said matching template, wherein each data field demarcates a respective data region of said overlaid image frame, to thereby obtain a geometrical correlation between said at least one two-dimensional image frame and said template;

    iv) selecting data regions, wherein said textual information is extracted from selected data regions;

    v) determining boundaries between text and background based on a minimum contrast between a character and other colored data on said image frame of the identity document, approximately within the boundaries of said selected data regions;

    vi) extracting black and white glyphs using at least a portion of said determined boundaries; and

    vii) applying said OCR routine on said black and white glyphs, thereby recognizing symbols and characters.

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