Improving the Courtesy Amount Recognition Accuracy Rate Through Delimiters Identification
Cleber Zanchettin, George D. C. Cavalcanti, Eduardo F. A. Silva, Byron Leite Dantas Bezerra, R.C. Doria, Juliano C. B. Rabelo · 2006
This paper deals with automatic recognition of real bank checks. A new approach is proposed to read the nu-merical 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 re-sults have shown that this approach is robust and efficient for automatic recognition of real Brazilian bank checks.