Abstract: Fingerprint recognition is one of the most adopted techniques for user identification. Many highly accurate systems are commercially available. Poor quality of fingerprint image degrades the performance of existing biometric systems. Recent research has begun to tackle the problems of poor quality of fingerprints. So, we proposed a methodology to improve the matching performance of distorted fingerprints based on a single image. The orientation field of a fingerprint is important for feature extraction and matching. However, the reconstruction of orientation map of distorted fingerprints is a challenging problem. Conventional methods don’t use prior knowledge of fingerprint. Hence, we proposed to use a enhanced feedback based approach using fuzzy logic for the reconstruction of orientation map. Further, the proposed enhanced fuzzy feature matcher (EFFM) takes a restructured ridge orientation map and minutiae map for matching. The proposed methodology enhances the performance and improves the fingerprint matching accuracy.
Keywords: Orientation Field Estimation, Enhanced Feedback, Minutiae, Fuzzy Feature Match (FFM).
Title: Distorted Fingerprint Matching Performance Improvement
Author: Shubhangi Ingale, Dr. Ayesha Butalia
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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