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Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1
An Efficient Thresholding Algorithm for Brazilian Bank Checks
Curitiba, Parana, Brazil
September 23-September 26
ISBN: 0-7695-2822-8
C. Mello, University of Pernambuco
B. Bezerra, AiLeader Technologies
C. Zanchettin, AiLeader Technologies
V. Mac?rio, AiLeader Technologies
It is present herein an algorithm for thresholding images of bank checks. These images have complex background elements. Some of these patterns make very hard to distinguish between the text and the texture pattern defined by the bank. For the binarizing process, an adaptive global thresholding algorithm is proposed based on ROC curves and it is compared to several well-known algorithms. The images generated by the new algorithm achieved a hit rate of 97% for recognition of the CMC7 code.
Citation:
C. Mello, B. Bezerra, C. Zanchettin, V. Mac?rio, "An Efficient Thresholding Algorithm for Brazilian Bank Checks," icdar, vol. 1, pp.193-197, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007
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