An Efficient Multimodal Biometric System Integrated with Liveness Detection Technique

Abstract

AbstractThe biometrics is an alternative for password-based recognition systems in recent days. But biometric recognition systems are venerable to spoof attacks. Hence, anti-spoofing techniques are attracting growing interest in this field. Liveness detection is the anti-spoofing technique, which has the aim to identify the dead and living modalities presented at the time of authentication. This paper presents an efficient and robust multimodal biometric system integrated with liveness detection technique. In the proposed system, face and fingerprint modalities are used at the enrolment time and only face modality is used to authenticate a person. Here, fingerprint is used to generate a fingerprint key using K-means clustering algorithm and then encrypt the face feature set with asymmetric encryption standard (AES) using fingerprint key. At the time of authentication, liveness of a person is checked using challenge--response method at the sensor level. If in any case, an intruder has passed liveness test, he/she may be detected at matching score level as template of system is secured with AES encryption. Multimodal biometric system integrated with liveness detection technique can increase the speed of the system. Matrix Laboratory (MATLAB) 2017b and multi-biometric integration (MUBI) tool are used for the experimental work, and results show that the proposed system gives better performance as compared to others.KeywordsFace recognitionEncrypted face templateLiveness detectionMultimodal biometric system