Signature System Based on Extended Shape Context Descriptors

In this paper we present a system for handwritten signature identification and verification based on Shape Context Descriptors. The input to the system are binarized images of handwritten signatures. At preprocessing stage each signature image is thinned using KMM algorithm in order to obtained 1-pixel wide skeleton. The feature vector is built from Shape Context Descriptors computed for selected points on skeletonized signature line. The process of identification and verification is based on the distance measure that uses Shape Context Descriptors. The experiments were conducted on signature images from GPDS database available for non-commercial research.