Fingerprint Recognition Using Optimal Global Transformation

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Security
Format: PDF
Fingerprints are the most widely used parameter for personal identification amongst all biometric based personal authentication systems. 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 paper 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.

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