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
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