Multimodal biometric authentication system based on hand features

被引：5
|
作者：
Pavesic, N [1 ]
Savio, T
Ribaric, S
机构：
[1] Univ Ljubljana, Fac Elect Engn, Ljubljana 1000, Slovenia
[2] Univ Zagreb, Fac Elect Engn & Computing, Zagreb 10000, Croatia
来源：
FROM DATA AND INFORMATION ANALYSIS TO KNOWLEDGE ENGINEERING | 2006年
关键词：
D O I：
10.1007/3-540-31314-1_77
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we present a multimodal biometric authentication system based on features of the human hand. A new biometric approach to biometric authentication based on eigen-coefficients of palm, fingers between first and third phalanx, and finger tips, is described. The system was tested on a database containing 10 grey-level images of the left hand and 10 grey-level images of the right hand of 43 people. Preliminary experimental results showed high accuracy of the system in terms of the correct recognition rate (99.49%) and the equal error rate (0.025%).
引用
收藏
页码：630 / +
页数：2
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