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Research Paper | Computer Science & Engineering | India | Volume 2 Issue 7, July 2013
Comparative Analysis of Off-line Signature Recognition
Ankit Arora [2] | Aakanksha S. Choubey [2]
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
Edition: Volume 2 Issue 7, July 2013,
Pages: 241 - 245
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Research Paper, Computer Science & Engineering, India, Volume 3 Issue 8, August 2014
Pages: 1141 - 1146Offline Hindi Signature Recognition Using Surf Feature Extraction and Neural Networks Approach
Harpreet Kaur [16] | Simarjeet Kaur [6]
Downloads: 112
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 8, August 2015
Pages: 143 - 146