Online and offline signature verification: A combined approach

Abstract

Handwritten signature verification is an emerging area. In this paper, an automatic signature verification system has been propose This work focuses on both online and offline features of handwritten signatures and aims at combining their results to verify th signature. Signatures are collected for both online and offline. Online data collected is the signing process captured using a webca and offline data collected are the scanned signatures. Initially both data undergoes appropriate preprocessing steps. Then featur extraction is done where features based on pen tip tracking are used in case of online and gradient and projection based feature are used in case of offline method. Later the online and offline method verifies the signature separately and finally their results ar combined and the signature is verified using SVM. Paper also compares the results of online, offline and combined approach.