A novel biometric system based on palm vein image
Pattern Recognition Letters
Palm vein recognition using adaptive Gabor filter
Expert Systems with Applications: An International Journal
A secure palm vein recognition system
Journal of Systems and Software
People reidentification in surveillance and forensics: A survey
ACM Computing Surveys (CSUR)
An approach to SWIR hyperspectral hand biometrics
Information Sciences: an International Journal
Information Sciences: an International Journal
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This paper presents two new approaches to improve the performance of palm-vein-based identification systems presented in the literature. The proposed approach attempts to more effectively accommodate the potential deformations, rotational and translational changes by encoding the orientation preserving features and utilizing a novel region-based matching scheme. We systematically compare the previously proposed palm-vein identification approaches with our proposed ones on two different databases that are acquired with the contactless and touch-based imaging setup. We evaluate the performance improvement in both verification and recognition scenarios and analyze the influence of enrollment size on the performance. In this context, the proposed approaches are also compared for its superiority using single image enrollment on two different databases. The rigorous experimental results presented in this paper, on the databases of 100 and 250 subjects, consistently conforms the superiority of the proposed approach in both the verification and recognition scenario.