Abstract
This paper presents a biometric system based on physiological hand vein patterns for personal identification. The paper proposes a framework to analyse the infrared vein patterns; and it provides solutions to two key stages of the framework: vein pattern image acquisition, and feature identification. We proposed and investigated two non-invasive image acquisition methods: far-infrared (FIR) thermography and near-infrared (NIR) imaging. Both imaging techniques are found capable of capturing the vein structures in the hand. Further analysis was carried out to identify the features of the vein pattern to provide strong discriminating power. The paper firstly utilizes the salient points features (SPF) of the vein patterns as a geometric representation of the shape of vein patterns. Experiments show SPF achieved a 0% of equal error rate (EER), which indicates the SPF can provide strong discriminating power for biometric purposes. Then, the paper proposed another novel feature type to analyze the vein patterns,...
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