Removal of false minutiae with fuzzy rules from the extracted minutiae of fingerprint image

Abstract

Human fingerprints are rich in details called minutiae, which can be used as identification marks for fingerprint verification. Minutiae are the two most prominent and well-accepted classes of fingerprint features arising from local ridge discontinuities: ridge endings and ridge bifurcations. In today's world minutia matching is most popular and modern technology for fingerprint matching.If there is enough minutia point in one fingerprint image that are corresponding to other fingerprint image, then it is most likely that both images are from the same finger print. In this paper, we proposed a complete system for minutiae extraction and removing the false minutiae from the extracted ones. The main objective of this paper is developing a new idea for extracting minutiae points and removing the false minutiae by implementing some fuzzy rules. It comprises of various steps. It begins with the acquisition of the fingerprint image. This is followed by binarization ie, converting the gray image to binary image and then thinning ie, making the ridges just one pixel wide. Finally the minutiae points are extracted based on Tico and Kuosmanen[1] and the Crossing Number(CN) method. Then, among the extracted minutiae, false minutiae are removed with fuzzy rules. Thus our system could be a better pre-processing technique for authentication. © 2012 Springer-Verlag GmbH Berlin Heidelberg.