DocumentCode :
2021527
Title :
An Efficient Thresholding Algorithm for Brazilian Bank Checks
Author :
Mello, Carlos A B ; Bezerra, Byron L D ; Zanchettin, Cleber ; Macário, Valmir
Author_Institution :
Univ. of Pernambuco, Recife
Volume :
1
fYear :
2007
fDate :
23-26 Sept. 2007
Firstpage :
193
Lastpage :
197
Abstract :
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.
Keywords :
bank data processing; image texture; Brazilian bank check; adaptive thresholding algorithm; image texture; Entropy; Histograms; Image converters; Image generation; Image processing; Image recognition; Ink; Iterative algorithms; Law; Legal factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
Conference_Location :
Parana
ISSN :
1520-5363
Print_ISBN :
978-0-7695-2822-9
Type :
conf
DOI :
10.1109/ICDAR.2007.4378702
Filename :
4378702
Link To Document :
بازگشت