Region Coded Hashing based Template Security Scheme for Multi-biometric System

The biometric-based systems (BMS) have proved enormously superior and accurate authentication mechanism as compared to conventional methods. The accuracy of recognition systems is further enhanced by using multi-modal biometric systems (MBS) with additional cost overhead. The BS based human recognition works by extracting unique feature points from the raw biological trait of the user, captured through a sensor. The important feature points are stored in a system database and referred as feature template of the enrolled user. The template security, before its storage or after storage in database has become an important design issue and attracted attention of most of the researchers. In this paper, a novel region coded hashing (RCH) based template security scheme for a multi-instance biometric system is presented. The proposed scheme is based on two instances of biometric traits, i.e the left and right hand index fingerprints. In the enrolment phase biological information captured from sensing devices are used to extract important feature points using the feature extractors. The extracted real feature vector of the fingerprints BMS are passed through proposed RCH scheme to get transformed templates. The transformed vectors are fused together at the matching score level. The proposed template security results in good overall performance with false accept rate (FAR) of 0.2 % and 0.05% false reject rate (FRR).