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PCVOS : Principal Component Variances based Off-line Signature Verification

Arunalatha, JS and Prashanth, CR and Tejaswi, V and Shaila, K and Raja, KB and Anvekar, Dinesh and Venugopal, KR and Iyengar, SS and Patnaik, LM (2015) PCVOS : Principal Component Variances based Off-line Signature Verification. In: IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS), JUL 09-11, 2015, Jadavpur Univ, Kolkata, INDIA, pp. 195-199.

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Official URL: http://dx.doi.org/10.1109/ReTIS.2015.7232877

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 training which involves extraction of features from the samples of database and Test signature analysis which performs extraction of features from the test samples. The trained values from the database are compared with the features of the test signature using Principal Component Analysis (PCA). The PCVOS algorithm shows a notable improvement over the algorithms in 21], 22] and 23].

Item Type: Conference Proceedings
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Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly, (CEDT) Centre for Electronic Design & Technology)
Date Deposited: 26 Aug 2016 09:11
Last Modified: 26 Aug 2016 09:11
URI: http://eprints.iisc.ernet.in/id/eprint/54544

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