Fingerprint Reorganization Using Minutiae Based Matching for Identification and Verification

Fingerprints play distinguishing role in biometrics. Fingerprints are the most widely used parameter for personal identification amongst all biometric based personal authentication systems. They give unique identification to the individual. They are permanent and non changing character pattern. As most automatic fingerprint recognition systems are based on local features of ridge known as minutiae, marking minutiae accurately and rejecting false ones is critically important. This paper is a study and implementation of a fingerprint recognition system based on Minutiae based matching which is quite frequently used in various fingerprint algorithms and techniques. This approach mainly involves extraction of minutiae points from the sample fingerprint images and then performing fingerprint matching based on the score of minutiae pairings among two fingerprints. Our implementation mainly assimilates image enhancement, image segmentation, feature extraction and minutiae matching. It finally generates a result which tells whether two fingerprints match or not.