Research on the BP-network-based Iris Recognition

被引：1
|
作者：
Dai, Fengzhi [1 ]
Fan, Li [1 ]
Yu, Chunyu [1 ]
Liu, Bo [1 ]
Bai, Ruixiang [1 ]
机构：
[1] Tianjin Univ Sci & Technol, Coll Elect Informat & Automat, Tianjin 300222, Peoples R China
来源：
JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE | 2015年 / 2卷 / 03期
关键词：
iris recognition; artificial neural network; back propagation algorithm; pattern recognition;
D O I：
10.2991/jrnal.2015.2.3.6
中图分类号：
TP24 [机器人技术];
学科分类号：
080202 ; 1405 ;
摘要：
Iris recognition is the highly trusted identification recognition technology among methods of biological recognition. In this paper, we use the back propagation algorithm to train the neural network, so as to establish the iris recognition system model. The experiment demonstrates that it has a high recognition rate and the recognition speed is reasonable. The proposed method provides a convenient way for iris recognition.
引用
收藏
页码：162 / 165
页数：4
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