Training neural networks for reading handwritten amounts on checks

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

Volumn 2003-January, Issue , 2003, Pages 607-616

  Palacios, Rafael ^a   Gupta, Amar ^b  

^a Advanced Technical Faculty of Engineering   (Spain)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Check processing; Document imaging; Neural networks; Optical character recognition; Unconstrained handwritten numerals

Indexed keywords

NEURAL NETWORKS; OPTICAL CHARACTER RECOGNITION; SIGNAL PROCESSING;

AUTOMATIC PROCESSING; BANK CHECKS; CHECK PROCESSING; DIGITAL FORMAT; DOCUMENT IMAGING; HANDWRITTEN NUMERAL; HANDWRITTEN TEXTS; MANUAL PROCESSING;

CHARACTER RECOGNITION;

EID: 84869882333     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2003.1318060     Document Type: Conference Paper

References (17)

1. A. Aganval, A. Gupta, K. Hussein, "Bank Check Analysis and Recognition by Computers" in Handbook of Characfer Recognition and Document Image Analysis. Editors: H.Bunke, and P.S.P. Wang. World Scientific, 1997.
2. N. Arica and F.T. Yarman-Vural, "An overview of Character Recognition Focused on Off-Line Handwitting", IEEE Transactions on Systems, Man, and Cybernetics - ParfC: Applicafions and Reviews, 31(2):216-233,2001
3. A.S. Atukorale, P.N. Suganthan, "Combining Classifiers Based on Confidence Values", Proceedings of the 5th Infemafional Conference on Documenf Analysis ad Recognifion, pp.37-40, 1999.
4. H.Bunke and P.S.P.Wand. Handbook of characfer recognition and documenl image analysis. Ed. Wolrd Scientific. ISBN 981-02-227O-X, 1997.
5. Federal Reserve Board, "Fed Announces Results of Study of the Payments System. First Authoritative Study in 20 Years". Press Release, November 14th, 2001.
6. A. Gupta, M.V. Nagendraprasad, P.S.P. Wang, "Sysiem and method for characier recognition with normalization", US. Patent No. 5633954, 1997.
7. I. Guyon and P.S.P. Wang. Advances in Panern Recogniiion Sysiems using Neural Network Technologies. Ed World Scientific. ISBN 981-02-1444, 1993.
8. D.B. Humphrey and A. N. Berger. "Market Failure and Resource Use: Economic Incentives to Use Different Payment Instruments" In The US. Payment System: Eflciency, Risk and ihe Role of the Federal Reserve, pp. 45-86. Boston, MA: Kluwer Academic Publishers. 1990.
9. R Palacios and A. Gupta, "Feedback-Based Architecture for Reading Courtesy Amounts on Checks", Journal ofElecfronic Imaging, Vol 12, Issue 1, January 2003, pp 194-202.
10. R. Palacios and A. Gupta, "A system for processing handwritten b a d checks automatically", submiiiedfo Image and Vision Computing, Feb 2002.
11. R. Palacios, Modelos especializados en la defeccidn incipienfe de fallos. Tesis Doctoral. Universidad Pontificia Comillas. Julio 1998.
12. J. Stavins, "A Comparison of Social Costs and Benefits of Paper Check Presentment and ECP with Truncation", New England Economic Review, July/August 1997.
13. C.Y. Suen, C. Nadal, R. Legault, T. Mai, and L. Lam, "Computer Recognition of Unconstrained Handwritten Numerals", Proceedings of the IEEE, 80(7): 1162-1180, 1992.
14. C.Y. Sum, Q. Xu, and L.Lam, "Automatic Recognition of Handwritten data on cheques -Fact or Fiction?", Paffern Recognition Letters. 201287-1295, 1999.
15. P. S.P. Waug. Character and Handwriiing Recognition: Expanding Frontiers. Ed. World Scientific. ISBN 981-02-0710-7, 1991.
16. RE. Wells, "Are Checks Overused?" Federal Reserve Bank of Minneapolis Quarferly Review (Fall), pp. 2-12, 1996.
17. J. Zhou, A. Krzyzak, C.Y. Suen, 'Verification- a method of enhancing the recognizers of isolated and touching handdtten numerals", Paitern Recognilion, 35, pp.1179-1189,2002.