The application of Gabor filter in Chinese writer identification

Writer identification is a technique that aims to decide the identity of writers according to the handwriting styles. In this paper, the whole handwriting is considered as a texture image. A two-dimensional Gabor filter for extracting texture features of Chinese handwritings is designed and tested, which is a key step in the writer identification project. Test results show the filter can efficiently reflect the feature information of handwritings and itpsilas valid for the whole Chinese writer identification project. The method used in this paper has good robustness and is suitable for practical use.