A contactless biometric system using multiple hand features

被引:53
作者
Michael, Goh Kah Ong [1 ]
Connie, Tee [1 ]
Teoh, Andrew Beng Jin [2 ,3 ]
机构
[1] Multimedia Univ, Jalan Ayer Keroh Lama 75450, Melaka, Malaysia
[2] Yonsei Univ, Coll Engn, Sch Elect & Elect Engn, Seoul 120749, South Korea
[3] Sunway Univ, Bandar Sunway 46150, Pj Selangor, Malaysia
关键词
Contactless biometrics; Multimodal biometrics; Image processing; Hand vein recognition; Palm print recognition; Hand geometry recognition; Knuckle print recognition; Image quality assessment scheme; PALMPRINT; GEOMETRY; FUSION; IMAGE; PRINT;
D O I
10.1016/j.jvcir.2012.07.004
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the advent of modern computing technology, there is increased reliance on biometrics to provide stronger personal authentication. Among the variety of biometric solutions in the market, hand-based system is the oldest, and perhaps the most successful form of biometric technology. This paper describes a contactless hand-based biometric system by using visible and infrared imagery. An acquisition device is developed to capture both color and infrared hand images. We modify an ordinary web camera to capture the hand vein that normally requires specialized infrared sensor. The design is simple and low-cost. No additional installation of special apparatus is required. The device can capture the epidermal and subcutaneous features from the hand simultaneously. In specific, five features namely hand geometry, palm print, palmar knuckle print, palm vein, and finger vein are acquired from the hand for recognition. Rigorous experiments had been performed to testify the robustness of the system. (c) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:1068 / 1084
页数:17
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