Improving the Courtesy Amount Recognition Accuracy Rate Through Delimiters Identification

Cleber Zanchettin; George D. C. Cavalcanti; Eduardo F. A. Silva; Byron L. D. Bezerra; Rodrigo C. Dória; Juliano C. B. Rabelo

Conference papers

Improving the Courtesy Amount Recognition Accuracy Rate Through Delimiters Identification

Cleber Zanchettin ^{1, 2} George D. C. Cavalcanti ^{1, 2} Eduardo F. A. Silva ¹ Byron L. D. Bezerra ^{1, 2} Rodrigo C. Dória ¹ Juliano C. B. Rabelo ¹

1 AiLeader Technologies

2 CIn - Centro de Informatica UFPE [Recife]

Abstract : This paper deals with automatic recognition of real bank checks. A new approach is proposed to read the numerical amount field from bank checks, considering the numeric value and the different delimiters existent in that field. The proposal combines different neural networks classifiers to perform the recognition. Experimental results have shown that this approach is robust and efficient for automatic recognition of real Brazilian bank checks.

Keywords : Automatic bank-check reading Character and symbol recognition courtesy amount recognition

Document type :

Conference papers

Domain :

Computer Science [cs] / Document and Text Processing

Computer Science [cs] / Computer Vision and Pattern Recognition [cs.CV]

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https://hal.inria.fr/inria-00104228
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Submitted on : Friday, October 6, 2006 - 10:03:45 AM
Last modification on : Tuesday, July 31, 2018 - 3:04:02 PM
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