Fusion of 4-slap fingerprint images with their qualities for human recognition

Abstract

This paper presents an efficient multimodel bio-metric system based on 4 slap fingerprint images. The system utilizes 4 slap fingerprint scanner to simultaneously collect fingerprints of multiple fingers on a hand in one image. The acquired multi-finger images are first segmented to get individual fingers. Quality of each individual finger is estimated and its minutiae points are extracted. The minutiae points of each individual finger extracted from gallery 4 slap fingerprint image is compared with the corresponding individual finger of the query 4 slap fingerprint image to get matching score of that finger. Matching score between two 4 slap fingerprint images is obtained by fusing matching scores of various fingers along with their respective image quality and relative accuracies. Decision of matching has been taken based on the fused matching score. The system has been tested on two 4 slap fingerprint databases viz IITK-student and IITK-rural containing 1007 and 991 subjects respectively. Both databases are acquired in 2 sessions. The correct recognition rate obtained is 91.00% for IITK-rural database and 99.64% for IITK-student database. Respective EER values are 5.64% and 0.94%.