Offline Signature Recognition Based on Contourlet Transform
In this paper, the authors propose new offline Persian signature recognition based on the Contourlet Transform (CT). They utilize Support Vector Machine (SVM) as a tool to evaluate the performance of the proposed method. In proposed method, first signature image is normalized by size then image is enhanced to remove noise. After pre-processing, signature image is divided into four regions, contourlet coefficients are computed on each region. Next the histogram of orientation and direction of each region are computed so they have four histograms that are fed to a layer of SVM classifiers as feature vector.