Human Verification using Multiple Fingerprint Texture Matchers

Abstract

This paper presents a multimodal biometric verification system using multiple fingerprint matchers. Theproposed verification system is based on multiple fingerprint matchers using Spatial Grey LevelDependence Method and Filterbank-based technique. The method independently extract fingerprinttexture features to generate matching scores. These individual normalized scores are combined into afinal score by the sum rule and the final score is eventually used to effect verification of a person asgenuine or an imposter. The matching scores are used in two ways: in first case equal weights are assignedto each matching scores and in second case user specific weights are used. The proposed verificationsystem has been tested on fingerprint database of FVC2002. The experimental results demonstrate that theproposed fusion strategy improves the overall accuracy of the system by reducing the total error rate of thesystem.Keywords: - Multimodal biometric System, Fingerprint verification, SGLDM, Filterbank matching, Scorelevel fusion, Sum rule.