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
Link To Document :
بازگشت