2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS) 2015
DOI: 10.1109/retis.2015.7232877
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PCVOS: Principal component variances based off-line signature verification

Abstract: Offline signature verification system is widely used as a behavioral biometric for identifying a person. This behavioral biometric trait is a challenge in designing the system that has to counter intrapersonal and interpersonal variations. In this paper, we propose a novel technique PCVOS: Principal Component Variances based Off-line Signature Verification on two critical parameters viz., the Pixel Density (PD) and the Centre of Gravity (CoG) distance. It consists of two parallel processes, namely Signature tr… Show more

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Cited by 3 publications
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“…al., in [23] extracted pseudo dynamic features from the small grids of images and compared them with the principal component variance. The signatures were compared with the help of Eigen value calculated against every signature image.…”
Section: Related Workmentioning
confidence: 99%
“…al., in [23] extracted pseudo dynamic features from the small grids of images and compared them with the principal component variance. The signatures were compared with the help of Eigen value calculated against every signature image.…”
Section: Related Workmentioning
confidence: 99%