Palm vein pattern-based biometric recognition system
Palm vein pattern-based biometric recognition system
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DOI：
10.1504/ijcat.2015.068921
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发表时间：
2015-04
期刊：
影响因子：
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通讯作者：
Gunjan Shah;S. Shirke;S. Sawant;Y. Dandawate
中科院分区：
文献类型：
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作者：
Gunjan Shah;S. Shirke;S. Sawant;Y. Dandawate
基于手掌静脉的生物识别系统旨在从个人独特的手掌静脉结构中识别个人，由于手掌静脉存在于皮肤表面下，在可见光下看不到，因此几乎不可能复制。这项工作的目的是开发一种低成本但高效的系统，用于采集静脉图像，处理这些图像，并使用各种算法进行匹配。图像是使用网络摄像头和红外LED照明来突出静脉的。从图像中提取感兴趣区域ROI，然后进行处理。提出了三种匹配技术。在ROI上应用主成分分析、基于2D小波的特征和专为手掌静脉ROI设计的模板进行匹配。推导了每种算法的精度，并对三种算法进行了比较。使用模板匹配技术得到的最高准确率为93.54%。
Palm vein-based biometric authentication system aims to recognise individuals from their unique palm vein structure which is next to impossible to duplicate owing to the fact that palm veins are present in the subsurface of the skin and not apparent under visual light. The aim of the proposed work is to develop a low cost but efficient system for acquiring images of the veins, processing these images and matching using various algorithms. Images have been acquired using a web camera and an infrared LED illumination that highlights the veins. The region of interest ROI is extracted from the images and then processed. Three techniques for matching are proposed. Principal component analysis PCA, 2D-wavelet based feature and template designed exclusively for palm vein ROI is applied over ROI for matching. The accuracy of the each algorithm is deduced to compare the three algorithms. The highest accuracy achieved is 93.54% using template matching technique.