Science & Engineering Research Support soCiety (SERSC)
Biometrics has featured prominently for human verification and identification with fingerprint emerging as the dominant one. The dominance of fingerprint has been established by the continuous emergence of different forms of Automated Fingerprint Identification Systems (AFISs). In the course of performing human verification and identification, an AFIS performs fingerprint enrolment, enhancement, minutiae extraction and pattern matching. One of the challenges confronting fingerprint pattern matching is variation in image ridge orientation which often results in mismatch among images from the same source. In this paper, an algorithm for fingerprint pattern matching that addresses this problem is proposed.