Offline signature verification based on statistical features

Authors:
P. M. Mhatre;M. Maniroja
Affiliations:
Pravin Patil College Of Diploma Engineering and Technology, MSBTE, Mumbai;Thadomal Shahani Engineering College, Mumbai University
Venue:
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Year:
2011

Citing 4
Cited 0

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Abstract

Signature identification and verification is considered among the most popular biometric methods in the area of personal authentication. In proposed method, we deal with offline verification of signature by two different algorithms. Before extracting different features from the signature, some preprocessing of the signature is done. In preprocessing, the signature is colour normalized and scaled into a standard format. The algorithm is quite different and it deals with extraction of features based on mean, standard deviation and moment. The algorithm uses Euclidean distance classifier for comparing test signature with database. The algorithm have shown promising results while dealing with random forgeries and simple forgeries; also it gives good recognition rate.