Combining left and right wrist vein images for personal verification
Mohamed Cheniti, Zahid Akhtar, Boukezzoula Naceur Eddine, Tiago Henrique Falk · 2017
Multibiometric systems that fuse information from different sources are able to alleviate limitations of the unimodal biometric systems. In this paper, we propose a multibiometric framework to identify people using their left and right wrist vein patterns. The framework uses a fast and robust preprocessing and feature extraction method. A generic score level fusion approach is proposed to integrate the scores from left and right wrist vein patterns using Dubois and Parad triangular-norm (t-norm). Experiments on the publicly available PUT wrist vein dataset show that the proposed multibiometric framework outperforms the unimodal systems, their fusion using other t-norms techniques, and existing wrist vein recognition methods.