Biometric verification of humans by means of hand geometry

M. Faúndez-Zanuy
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引用次数: 19

Abstract

This paper describes a hand geometry biometric identification system. We have acquired a database of 22 people, 10 acquisitions per person, using a conventional document scanner. We propose a feature extraction and classifier. The experimental results reveal a maximum identification rate equal to 93.64%, and a minimum value of the detection cost function equal to 2.92% using a multi layer perceptron classifier.
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通过手部几何图形对人体进行生物特征验证
本文介绍了一种手部几何形状的生物识别系统。我们已经获得了一个22人的数据库,使用传统的文档扫描仪,每人获得10个。我们提出了一种特征提取和分类器。实验结果表明,多层感知器分类器的最大识别率为93.64%,检测代价函数的最小值为2.92%。
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