AN EFFICIENT ALGORITHM FOR FINGERPRINT RECOGNITION USING MINUTIAE EXTRACTION

Abstract

Fingerprints have always been considered as basic element for personal recognition. The performance of fingerprint recognition system depends on minutiae which are extracted from raw fingerprint images. In this study, an efficient scheme for fingerprint recognition was proposed. Initially, the input image was enhanced using pre-processing techniques. After image enhancement, image segmentation was performed and minutiae extraction was done using ridge thinning and minutiae marking. To this end, false minutiae removal was done prior to final match. In the proposed scheme, inter ridge distance was finely tuned to improve the overall sensitivity of fingerprint identification which also reduced FAR and FRR considerably. The proposed scheme was evaluated using a dataset of 500 images taken from FVC 2002, FVC 2004 and FVC 2006 and showed better performance as compared to the previous methods.