Biometric identification through hand geometry measurements

被引：308

作者：

Sanchez-Reillo, R

Sanchez-Avila, C

Gonzalez-Marcos, A

机构：

[1] ETSI Telecommun, Dept Tecnol Foton, E-28040 Madrid, Spain

[2] ETSI Telecommun, Dept Matemat Aplicada, E-28040 Madrid, Spain

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 2000年 / 22卷 / 10期

关键词：

hand geometry; classification; verification; biometric systems; Euclidean distance; Hamming distance; Gaussian mixture models; radial basis functions;

D O I：

10.1109/34.879796

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A work in defining and implementing a biometric system based on hand geometry identification is presented here. Hand features are extracted from a color photograph taken when the user has placed his hand on a platform designed for such a task. Different pattern recognition techniques have been tested to be used in classification and/or verification from Euclidean distance to neural networks. Experimental results, up to a 97 percent rate of success in classification. will show the possibility of using this system in medium/high security environments with full acceptance from all users.

引用

页码：1168 / 1171

页数：4

共 11 条

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[2]

Hart P.E., 1973, Pattern recognition and scene analysis

[3]

Haykin S., 1994, NEURAL NETWORKS COMP

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