Proposed Multi-Modal Palm Veins-Face Biometric Authentication

Abstract

Abstract-Biometric authentication technology identifies people by their unique biological information. An account holder's body characteristics or behaviors are registered in a database and then compared with others who may try to access that account to see if the attempt is legitimate. Since veins are internal to the human body, its information is hard to duplicate. Compared with a finger or the back of a hand, a palm has a broader and more complicated vascular pattern and thus contains a wealth of differentiating features for personal identification. However, a single biometric is not sufficient to meet the variety of requirements, including matching performance imposed by several large-scale authentication systems. Multi-modal biometric systems seek to alleviate some of the drawbacks encountered by uni-modal biometric systems by consolidating the evidence presented by multiple biometric traits/sources. This paper proposes a multi-modal authentication technique based on Palm Veins as a personal identifying factor, augmented by face features to increase the accuracy of security recognition. The obtained results point at an increased authentication accuracy.

Biometric analysis using fused feature set from side face texture and electrocardiogram

“…Razzak et al [33] combined face and fingers veins with use of matching score fusion to increase the robustness of the system. Bahgat et al [34] proposed a feature level fusion approach, where palm vein and face are used as biometric trait. Nageshkumar et al [35] presented a score level fusion scheme based multimodal biometric system combining the palm print and face image.…”

Integrating Fusion levels for Biometric Authentication System

“…Bahgat et. al [6] proposed a multimodal biometric system by fusing palm vein and face biometric, where feature level fusion is performed. The overall accuracy of the system is more than 95%, FAR of 0.5%, FRR of 1.0% and accuracy of 98.3%.…”

“…For fusing multiple images feature fusion technique [5,6,12,13] are better choice when compared to score [7,9] and decision [8,10,11] techniques. For proposed work, the feature fusion technique provides a better solution for fusing multiple images and feature sets contains richer information.…”

Performance Evaluation of Multimodal Multifeature Authentication System Using KNN Classification

“…Abdolahi et al [ 3 ] proposed fuzzy based multimodal biometric system by fusing iris and fingerprint using decision level fusion to provide improved recognition rate. Bahgat et al [ 4 ] fused palm vein and face biometric to obtain the better recognition rate.…”