Comparative Analysis of Off-line Signature Recognition

Ankit Arora, Aakanksha S. Choubey

Abstract: Biometrics (or biometric authentication) assigns to the confirmation of humans by their biological features. In Computer science, biometrics is used as an aspect of determination and access control. Signature is one of the most widely used biometric systems for authentication of person as well as document. Online and offline signature is existing in person identification and authentication problems. Offline signature categorizes the signature into two classes: genuine and forged. In this paper, we discuss various features of offline signature recognition and verification process. We review and compare existing techniques, their results and methods of feature extraction.

Keywords: Offline signature, feature extraction, recognition, biometrics, neural network

How to Cite?: Ankit Arora, Aakanksha S. Choubey, "Comparative Analysis of Off-line Signature Recognition", Volume 2 Issue 7, July 2013, International Journal of Science and Research (IJSR), Pages: 241-245, https://www.ijsr.net/getabstract.php?paperid=02013141, DOI: https://dx.doi.org/10.21275/02013141