Fingerprint-based attendance system using MATLAB

Abstract

Finger prints are the one of the many forms of biometrics used to verify an individual’s identity. Finger print identification refers to the automated system of verifying a match between two human finger prints. This research aims at extracting the primary uniqueness of the images obtained from the finger print. A finger print constitutes of a series of grooves/ridges on the surface of the finger. The uniqueness of a finger print can be determined by these patterns. Minutiae points are local groove characteristics that occur at either a groove bifurcation or a groove ending. Here an approach of identification of minutia in terms of ending, bifurcation, and region of interest (ROI) has been proposed. Extraction of minutiae from the image is attained using termination and bifurcation process and then elimination of false minutia is done from the image using the distance formula. The ROI, i.e., the region which is most densely concentrated with minutiae is extracted.