Abstract: Comparative Analysis of Off-line Signature Recognition
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

Downloads: 120

Research Paper | Computer Science & Engineering | India | Volume 2 Issue 7, July 2013

Comparative Analysis of Off-line Signature Recognition

Ankit Arora, Aakanksha S. Choubey

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

Edition: Volume 2 Issue 7, July 2013

Pages: 241 - 245

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How to Cite this Article?

Ankit Arora, Aakanksha S. Choubey, "Comparative Analysis of Off-line Signature Recognition", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=02013141, Volume 2 Issue 7, July 2013, 241 - 245

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