Paper Title
MATHEMATICAL MODEL AND SIMULATION OF FINGERPRINT-BASED BIOMETRIC AUTHENTICATION SYSTEM

Abstract
Fingerprints are a unique feature of human beings that contains rich information useful for identifying and recognizing individuals. From historical times, biometric mechanisms have always been helpful in every aspect of the daily lives of humans for tasks such as actively identifying and authenticating the personalities of individuals to provide various forms of access. This paper proposes a fingerprint-based biometric authentication system. Since it is important for the system to provide accurate service in authentication, captured fingerprint images need to undergo preprocessing, which enhances the quality of the images. Minutia matching is then performed by a proposed matching algorithm to find relative correspondence between patterns of a stored user template and the captured input minutiae. The proposed algorithm could perform pattern-matching without time-consuming exhaustive searches. The simulation uses training data from FVC2002 dataset and selected participants. Based on a 0.4 index of False Non-Match Rates (FNMR) and False Match Rate (FRMS), the system can sufficiently identify imposters and recognize authentic users. Keywords - Fingerprint Recognition, Biometric, Orientation Field, Fingerprint Matching, Minutia Matching