[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.3745/JIPS.2012.8.3.421

A New Approach to Fingerprint Detection Using a Combination of Minutiae Points and Invariant Moments Parameters

Basak, Sarnali (Department of Computer Science and Engineering, Jahangirnagar University)
Islam, Md. Imdadul (Department of Computer Science and Engineering, Jahangirnagar University)
Amin, M.R. (Department of Electronics and Communications Engineering, East West University)

Publication Information

Journal of Information Processing Systems / v.8, no.3, 2012 , pp. 421-436 More about this Journal

Abstract

Different types of fingerprint detection algorithms that are based on extraction of minutiae points are prevalent in recent literature. In this paper, we propose a new algorithm to locate the virtual core point/centroid of an image. The Euclidean distance between the virtual core point and the minutiae points is taken as a random variable. The mean, variance, skewness, and kurtosis of the random variable are taken as the statistical parameters of the image to observe the similarities or dissimilarities among fingerprints from the same or different persons. Finally, we verified our observations with a moment parameter-based analysis of some previous works.

Keywords

Random Variable; Skewness; Kurtosis; Invariant Moment; Termination And Bifurcation Points; Virtual Core Point;

Citations & Related Records

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