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Fingerprint Recognition by Minutiae Matching Method for Evaluating Accuracy

Author(s): Hemlata Patel#1 , Mr. Vishal Sharma

Journal: International Journal of Engineering Trends and Technology
ISSN 2231-5381

Volume: 4;
Issue: 5;
Start page: 2136;
Date: 2013;
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Keywords: Fingerprint Recognition | Verification | Identification | Fingerprint Matching Techniques and Algorithms.

Today, Fingerprint recognitions are used for person identification and verification. In fingerprint recognition, matching methods and algorithms are most important for research area. Matching methods based on the different types of patterns are important for matching and algorithms based on the minutiae points are important for finding and calculating the matching points into the fingerprint of any person. But there are some drawbacks that affect the accuracy of fingerprint matching like, insensitivity to change the direction of fingerprint, size, difference between the two fingerprints, features of fingerprints and poor quality fingerprint image. To remove these drawbacks, we use a method that describes the different patterns of fingerprint (Arch, Whorl, and Loop) using different orientation and algorithm that improves the extraction of minutiae points based on ridges, dots and splitting ridges. It matches and compares the whole fingerprint and verifies the original fingerprint, and after that it identifies the person. This method give the result in form of FMR and FNMR and shows the 0.00 for FNMR and 0.023 for FMR which is better than theFingerprint Recognition using Minutia Score Matching system
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