A new binarization method for non-uniform illuminated document images

Authors:
Jiangtao Wen;Shumo Li;Jiedi Sun
Affiliations:
Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao 066004, China;Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao 066004, China;College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
Venue:
Pattern Recognition
Year:
2013

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Abstract

An original binarization method for document images acquired under non-uniform illumination conditions was proposed in this paper. The Curvelet transform and Otsu's method were combined to binarize the non-uniform illuminated images. The non-uniform illumination image was decomposed by the Curvelet. And, the Curvelet coefficients were enhanced by nonlinear functions. Then, the reconstructed image was processed by Otsu's binarization method. The experiment results of our and the others methods were shown and discussed.