An Effective Methodology for Minutiae Based Fingerprint Matching Using Singularities Indexing

Fingerprint is one of the most significant and traditional biometric trait and its uniqueness are exclusively determined by the local ridge characteristics and their relationships. However, in existing system, due to variations in impression condition, due to different stress level, ridge configuration, skin conditions, acquisition devices, noise etc, the accuracy of the system get affected. To overcome this problem, more number of different fingerprint classifiers are considered. This paper proposes a new effective methodology using minutiae matching technique along with singularities detection and indexing, based on the occurrences of singular points with reference to the core point. From the results, it shows this technique is effective and it is measured in terms of False Acceptance Rate (FAR) and False Rejection Rate (FRR).