Efficient off-line signature verification by correlation of geometric centers

Prashanth, C.R. and Raja, K.B. and Venugopal, K.R. and Patnaik, L.M. (2010) Efficient off-line signature verification by correlation of geometric centers. International Journal of Computational Intelligence Research, 6 (4). pp. 645-661.

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he signature verification system is widely used as a means of personal authentication. In this paper, we present Efficient Off-line Signature Verification by correlation of Geometric Centers (OSV-CGC). The noise reduction, resizing and skeletonization are performed on the scanned signature image to extract the features efficiently. The signature is split vertically and horizontally based on the number of black pixels to generate the geometric centers, which constitute the features. The Correlation is used to compare the genuine signature with the test signature. If the value of Correlation Coefficient is greater than the predefined threshold, the test signature is verified to be that of the claimed subject else detected as a forgery. It is found that the values of FAR, FRR and EER for optimal threshold correlation are better compared to the existing techniques. Keywords: Biometrics, Off-line Signature Verification, Geometric …

Item Type: Article
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Ms. Shwetha A C
Date Deposited: 18 Oct 2021 10:03
Last Modified: 18 Oct 2021 10:03
URI: http://eprints-bangaloreuniversity.in/id/eprint/10234

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