National Changhua University of Education Institutional Repository : Item 987654321/18361
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 6507/11669
造访人次 : 29715408      在线人数 : 395
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 进阶搜寻

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.ncue.edu.tw/ir/handle/987654321/18361

题名: Driver Identification Using Finger-Vein Patterns with Radon Transform and Neural Network
作者: Wu, Jian-Da;Ye, Siou-Huan
贡献者: 車輛科技研究所
关键词: Biometrics;Finger-vein recognition;Radon transform;Artificial neural network
日期: 2009-04
上传时间: 2014-04-29T07:28:12Z
出版者: Elsevier Ltd
摘要: A driver identification system using finger-vein technology and an artificial neural network is presented in this paper. The principle of the proposed system is based on the function of near infra-red finger-vein patterns for biometric authentication. Finger-vein patterns are required by transmitting near infra-red through a finger and capturing the image with an infra-red CCD camera. The algorithm of the proposed system consists of a combination of feature extraction using Radon transform and classification using the neural network technique. The Radon transform can concentrate the information of an image in a few high-valued coefficients in the transformed domain. The neural networks are used to develop the training and testing modules. The artificial neural network techniques using radial basis function network and probabilistic neural network are proposed to develop a driver identification system. The experimental results indicated the proposed system performs well for personal identification. The average identification rate of PNN network is over 99.2%. The details of the image processing technique and the characteristic of system are also described in this paper.
關聯: Expert Systems with Applications, 36(3)Part2: 5793-5799
显示于类别:[車輛科技研究所] 期刊論文

文件中的档案:

档案 大小格式浏览次数
index.html0KbHTML594检视/开启


在NCUEIR中所有的数据项都受到原著作权保护.

 


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈