Author : Kritika Vohra and Dr. S. V. Kedar

Signature is most generally used for verification of an individual. Signature is taken into account as a mark for the identification of all the social, business and business functions that the term signature verification is of utmost importance because it may be victimized and might result in huge losses. Signature could be a behavioral biometric attribute that includes neuromotor characteristics of an individual in addition as socio-cultural influence. In this system author is identified based on signature verification. Initially pre-processing of signature image is done. Further features are extracted based on the pre-processed data. Support Vector Machine algorithm is applied on the extracted features and accuracy of signature is determined. Based  on this signature is identified as genuine or forged and author is identified based on the genuineness of signature.

Keywords: Signature, Verification, Author, pre-processing, Features, Support Vector Machine