Identification of Finger Vein using Neural Network Recognition Research Based on PCA

被引：0

作者：

He, Changlong ^{[1
]}

Li, Zuojin ^{[1
]}

Chen, Liukui ^{[1
]}

Peng, Jun ^{[1
]}

机构：

[1] Chongqing Univ Sci & Technol, Chongqing 401331, Peoples R China

来源：

2017 IEEE 16TH INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS & COGNITIVE COMPUTING (ICCI*CC) | 2017年

关键词：

biological features; finger vein; PCA; BP neural network;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

finger vein identification, as an important part in biological feature identification, has been widely used in various fields. The finger vein image shows the vein structure captured under infrared ray. This paper firstly ado pts the principal component analysis (PCA) to extract low-dimension features of vein images; and then constructs a multi-layer neural network classifier based on BP Neural Network, to realize the identity recognition. Experiments show that the proposed method reaches a satisfactory accuracy of 81% in recognizing 600 images, showing a great value in application.

引用

页码：456 / 460

页数：5