Uyghur handwriting verification based on features combination
基于特征融合的维吾尔文笔迹鉴别方法

Due to the lack of rotation invariance characteristics of existing methods for Uyghur handwriting verification which lead to poor results for rotated handwriting samples, and shortage of using scale invariant feature transformSIFT, this paper presented a method based on features combination with rotation invariance characteristics. The proposed method firstly extracted SIFT feature, then calculated local window feature and combined both of them before being used for handwriting samples of different rotation angles. Experiments show that the proposed method can effectively overcome the impact on identification of the rotation of handwriting samples and is a simple, practical method with favorable performance for Uyghur handwritings.