• DocumentCode
    1581885
  • Title

    ICAR: Identity Card Automatic Reader

  • Author

    Lladós, Josep ; Lumbreras, Felipe ; Chapaprieta, Vicente ; Queralt, Joan

  • Author_Institution
    Dept. d´´Inf., Univ. Autonoma de Barcelona, Spain
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    470
  • Lastpage
    474
  • Abstract
    This paper describes the ICAR system, an application for automatic reading of identity cards and passports. The system acquires the image of the document by a flatbed scanner and recognizes the type of the document among a set of predefined models using color information. Textual fields are located in the image by a connected component analysis and identified in terms of their structural arrangement. A set of complementary statistical and structural OCR techniques are combined by a voting strategy to read each text image region. For unknown input documents, lines compliant with machine readable ICAO 9303 format are located and recognized. Although the system has been initially designed for Spanish documents, it allows the integration of new formats by a supervised learning procedure. The system is currently installed as a check-in application in a real environment
  • Keywords
    identification technology; image segmentation; learning (artificial intelligence); optical character recognition; statistical analysis; ICAR; Identity Card Automatic Reader; Spanish documents; check-in system; connected component analysis; document image; document type recognition; flatbed scanner; identity cards; machine readable ICAO 9303 format; passports; statistical OCR techniques; structural OCR techniques; supervised learning; text image region; textual field location; voting strategy; Airports; Application software; Computer vision; Data security; Databases; Humans; Image analysis; Image recognition; Optical character recognition software; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7695-1263-1
  • Type

    conf

  • DOI
    10.1109/ICDAR.2001.953834
  • Filename
    953834