Fingerprint Recognition System for Personal Identification

Abstract

Fingerprints are widely used in biometric techniques for automatic personal identification work. In this paper, a fingerprint recognition system is developed to identify a person according to fingerprint image on Myanmar National Registration Cards (NRCs). Generally, fingerprint identification approaches are minutiae-based and texture-based. Although the minutiae-based method is popular and extensively used method for fingerprint identification, it shows poor performance for low quality images. In proposed system, the texturebased approach for fingerprint recognition using Discrete Wavelet Transform (DWT) is developed. To reduce the search time and computational complexity, the proposed system classifies the fingerprint types according to ridges direction by singular candidate analysis using an extended relational graph. And then, the system finds the local features of the fingerprint using DWT and it is compared to the subset of the database containing that type of fingerprints using Euclidean distance metric. The performance of the proposed system can be evaluated by measuring its False Reject Rate (FRR) and False Accept Rate (FAR). The effectiveness of the proposed system can be confirmed through the experimental results.