Fingerprint Matching Using Neighbourhood Distinctiveness
The issue of identity management has continued to pose serious security challenge to different organizations. To cub this challenge, emphasis is now been shifted from what the user know or have to what the users are leading to increasing use of fingerprint, iris voice, face image and other physical biometrics for human verification and identification. Among these, fingerprint has proved most reliable and dependable. This has precipitated the emergence of a good number of Automated Fingerprint Identification Systems (AFIS) with different forms of matching algorithms. This paper presents the formulation and implementation of a minutiae based fingerprint pattern matching algorithm.