PCA-based Palm Vein Authentication System

被引：0
|
作者：
Bayoumi, Sahar [1 ]
Al-Zahrani, Sara [1 ]
Sheikh, Afnan [1 ]
Al-Sebayel, Ghada [1 ]
Al-Magooshi, Sulaf [1 ]
Al-Sayigh, Sara [1 ]
机构：
[1] King Saud Univ, Dept Informat Technol, Riyadh 11451, Saudi Arabia
来源：
2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA 2013) | 2013年
关键词：
Biometrics; Securtiy; Image processing; Palm vein Authentication; principle component analysis (PCA); supervised pattern recognition;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we proposed a system for authentication using Palm Vein based on using principle component analysis (PCA) for feature extraction. Palm vein images of dorsa captured using infrared camera. PCA is applied to generate vector of features that represent the highest detailed variant information. A matching process is then applied to find the best match from the data base to recognize and authenticate the person. Experiments show that our system able to recognize human with accuracy 85% in real-time based on supervised recognition.
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页数：3
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