Title: Fingerprint matching and correlation checking using level 2 features

Authors: Devarasan Ezhilmaran; Manickam Adhiyaman

Addresses: School of Advanced Sciences, VIT University, Vellore – 632-014, Tamilnadu, India ' School of Advanced Sciences, VIT University, Vellore – 632-014, Tamilnadu, India

Abstract: Fingerprint matching is one of the most important problems in automatic fingerprint identification system (AFIS). It has emerged as an effective tool for human recognition due to its uniqueness, universality and invariability. The significance of this work is to monitor the matching and correlation checking for two or more fingerprint images simultaneously using fuzzy logic system. The fuzzy logic system provides the more adequate description of the proposed algorithm. The algorithm has been formulated based on minutiae (level 2) points which examine n number of images.

Keywords: biometric; fingerprint image; minutiae points; Euclidean distance; matching; fuzzy inference system; similarity.

DOI: 10.1504/IJCVR.2017.084992

International Journal of Computational Vision and Robotics, 2017 Vol.7 No.4, pp.472 - 487

Received: 22 Jun 2015
Accepted: 29 Jul 2015
Published online: 10 Jul 2017 *

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