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

Abstract

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.

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“…Mobile biometric authentication using face and voice recognition simultaneously on a Nokia N900 mobile device was also introduced [11]. An authentication system using multiple biometrics such as face and hand features has also been studied [12,13].…”