A Chinese character component recognition method based on optimal combined strategy

Chinese character component recognition plays an important role in Chinese character studying process. In this digital age, using the technology of computer science to analyzing Chinese character component, has a very important significance for the development of traditional culture. In this paper, we propose an optimal combined strategy based method for component recognition. First, we execute preprocessing for all input images. For each image, we process it with image binaryzation and homogenization. Second, we generate the candidate strokes from the results of preprocessing step. Third, we construct the search graph and calculate the possible solution for searching component. Finally, we describe the detailed algorithm for component recognition using optimal combined strategy. Our method can produce accurate Chinese character component recognition results.