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An Adaptive Binarization of Camera Document Image by Image Quality Estimation  

Kim, In-Jung (한동대학교 전산전자공학부)
Abstract
Adaptive binarization is very important for the camera-based document recognition. This paper proposes a binarization method which can effectively adapt to the variation of image Qualify. Firstly, it analyzes the effect of binarization parameters to the result and proposes a method to measure the image quality. Then, it statistically analyzes the relationship between the image quality and the binarization parameter. Finally, it proposes a binarization method that automatically adapts to the quality of the input image, using the analysis result. The experiment results show that there is a meaningful relationship between the image quality and the binarization parameter, and therefore, the proposed method can effectively adapt to the variation of image quality.
Keywords
adaptive binarization; image quality estimation; image processing; camera-based document recognition;
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