FINGERPRINT VERIFICATION BY USING MINUTIAE MATCHING TECHNIQUE

Abstract

Fingerprint verification is one of the most reliable personal identification methods.Most automatic systems for fingerprint comparison are based on minutiae matching.Minutiae are essentially terminations and bifurcations of the ridge lines that constitute a fingerprint pattern.Automatic minutiae detection is an extremely critical process, especially in low-quality fingerprints where noise and contrast deficiency can originate pixel configurations similar to detect false minutiae or hide real minutiae [14].Several approaches have been proposed to find minutiae.This report concerns the design and implementation of a fingerprint verification system using a new algorithm.The purpose of the study was to implement the fingerprint Verification System.Main issues encountered are image enhancement, feature extraction, template generation and verification.In this work a new approach is proposed, based on ridge-line following, where the minutiae are extracted directly from grayscale images [14].Finally, a number of simulations were performed and evaluated.In spite of a greater conceptual complexity, the proposed method performs better both in terms of efficiency and robustness.Overall results were considered sufficiently well, and met the predefined specifications.