Multimodal biometric system using fingerprint

Abstract

Fingerprint recognition is one of the most popular methods used for identification with greater degree of success. The fingerprint has unique characteristics called minutiae, which are points where a curve track finishes, intersect or branches off. Identification systems using fingerprints biometric patterns are called AFIS (Automatic Fingerprint Identification System). In this work a method multi-biometric is considered using a combination of Fast Fourier Transform (FFT) and Gabor Filters to enhancement the image and later a novel stage of recognition using Local Features and Statistical Parameters.