Biometric retina identification based on neural network

被引：32
|
作者：
Sadikoglu, Fahreddin [1 ]
Uzelaltinbulat, Selin [2 ]
机构：
[1] Near East Univ, Dept Elect & Elect Engn, POB 99138, TR-10 North Cyprus, Mersin, Turkey
[2] Near East Univ, Dept Comp Engn, POB 99138, TR-10 North Cyprus, Mersin, Turkey
来源：
12TH INTERNATIONAL CONFERENCE ON APPLICATION OF FUZZY SYSTEMS AND SOFT COMPUTING, ICAFS 2016 | 2016年 / 102卷
关键词：
Neural network; retina recognition; backpropagation algorithm; SEGMENTATION;
D O I：
10.1016/j.procs.2016.09.365
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 the design of recognition system for retinal images using neural network is considered. Retina based recognition is perceived as the most secure method for identification of an identity used to distinguish individuals. The retina recognition stages including retina image acquisition, feature extraction and classification of the features are discussed. The structure of the neural network based retina identification is presented. Training of neural network based recognition system is performed using backpropagation algorithm. The structure of neural networks used for retina recognition and its learning algorithm are described. The implementation of recognition system has been done using MATLAB package. (C) 2016 The Authors. Published by Elsevier B.V.
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页码：26 / 33
页数：8
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