A handwriting image texture characteristics extraction algorithm based on integral wavelet transform

In order to effectively extract the detail of the image characteristics so as to obtain a better identification effect, the paper proposes a texture analysis method for handwriting image based on integral wavelet transform. This method not only can extract the detail features of the texture image, but also is not sensitive to brightness, this characteristic is difficult to achieve for the traditional texture analysis method. Adopting the features extracted of such texture images employed this method as main basis, it can not only simplify the computation, and also do not lose main characteristics of handwriting images.