Off-Line Signature Recognition Systems

Kekre, H. B.; Bharadi, Vinayak Ashok

doi:10.5120/499-815

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Cited by 16 publications

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“…They use Walsh transform to the horizontal pixel distribution and vertical pixel distribution [8], this transform is fast to calculate. They achieved FAR of 2.5%, EER of 3.29%, with accuracy of 95.08%.…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of off-line signature recognition

Dubey

Agrawal

2012

2012 International Conference on Communication, Information &Amp; Computing Technology (ICCICT)

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Biometrics (or biometric authentication) assigns to the confirmation of humans by their biological features. Computer science, biometrics to be specific, is used as an aspect of determination and access control. It is also used to determine individuals in groups that are under examination. Handwriting 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.

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Section: Introductionmentioning

confidence: 99%