Software tools and test data for research and testing of page-reading OCR systems

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5676, Issue , 2005, Pages 37-47

  Nartker, Thomas A ^a   Rice, Stephen V ^a   Lumos, Steven E ^a  

^a UNIVERSITY OF NEVADA   (United States)

Author keywords

Optical Character Recognition; Software Tools; Testing

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CODES (STANDARDS); COMPUTER AIDED SOFTWARE ENGINEERING; COMPUTER PROGRAM LISTINGS; ERROR ANALYSIS; SCANNING; TESTING; WEBSITES;

ANALYTIC TOOLS; SCANNED DOCUMENT IMAGES; TEST TOOLS; UNICODE STANDARDS;

OPTICAL CHARACTER RECOGNITION;

EID: 21944456605     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.587293     Document Type: Conference Paper

References (4)

1. S. V. Rice, G. Nagy, and T. A. Nartker, OPTICAL CHARACTER RECOGNITION: An Illustrated Guide to the Frontier, Kluwer Academic Publishers, Nonvell Massachusetts, 1999, ISBN 0-7923-8492-X.
2. S. V. Rice, Measuring the Accuracy of Page-Reading Systems. Ph.D. dissertation, UNLV, Las Vegas, 1996. (see Test Tools 3 above)
3. J. Kanai, S. V. Rice, T. A. Nartker, and G. Nagy. Automated Evaluation of OCR Zoning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(1):86-90, 1995.
4. S. V. Rice, J. Kanai, and T. A. Nartker. An algorithm for matching OCR-generated text strings. International Journal of Pattern Recognition and Artificial Intelligence, 8(5):1259-1268, 1994.