A new binarization algorithm based on maximum gradient of histogram

This paper studies several binarization algorithms in Chinese cheque recognition preprocessing. After analyzing the histograms of gray images of 2000 cheques, we found a clue, which can be used for segmenting image. With the clue, we developed a new binarization algorithm based on the maximum gradient of the histogram, making the target object stand out in the binary image. Comparing several other commonly used binarization algorithms, the algorithm proposed by the paper has been proven in the simulating tests to be more feasible and advanced.