Iris recognition based on wavelet transform and neural network

被引：1
|
作者：
Anna, Wang [1 ]
Yu, Chen [1 ]
Jie, Wu [1 ]
Zhang xin-hua [1 ]
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
来源：
2007 IEEE/ICME INTERNATIONAL CONFERENCE ON COMPLEX MEDICAL ENGINEERING, VOLS 1-4 | 2007年
关键词：
D O I：
10.1109/ICCME.2007.4381840
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
The biometric systems for user verification are becoming more popular in this age. Iris recognition system is a new technology for user verification. This paper presents an iris detection and recognition method, which adopts Canny transform to extract iris texture feature and wavelet probabilistic neural network as iris biometric classifier. The method combines wavelet neural network and probabilistic neural network for a new classifier model which will be able to improve the biometrics recognition accuracy as well as the global system performance. A simple and fast training algorithm, AdaBoost, is also introduced for training the wavelet probabilistic neural network. When applying the algorithm on an iris images database, the experimental results show 100% correct classifications and the method have an efficiency feasibility and performance.
引用
收藏
页码：758 / 761
页数：4
相关论文
共 50 条
  • [1] Iris recognition based on wavelet neural network transform system
    Wang, Anna
    Chen, Yu
    Zhang, Xinhua
    Wu, Jie
    [J]. IMECS 2007: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2007, : 115 - +
  • [2] Face Recognition based on Wavelet Transform and Neural Network
    Fan, Yu
    Zhu, Wuxuan
    Bai, Guangzhou
    Li, Taibo
    [J]. PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016, : 1569 - 1572
  • [3] A new iris recognition method based on Gabor wavelet neural network
    Zhou, Zhiping
    Wu, Huijun
    Lv, Qianxing
    [J]. 2008 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PROCEEDINGS, 2008, : 1101 - 1104
  • [4] EEG signal recognition based on wavelet transform and neural network
    Qin, Xue-Bin
    Zhang, Yi-Zhe
    Huang, Meng-Tao
    Wang, Mei
    [J]. 2016 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C), 2016, : 523 - 526
  • [5] Iris recognition based on adjustable scale wavelet transform
    Huang, Huifang
    Hu, Guangshu
    [J]. 2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2005, : 7533 - 7536
  • [6] Iris Based Recognition System Using Wavelet Transform
    Narote, Sandipan P.
    Narotte, Abhilasha S.
    Waghmare, Laxman M.
    [J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2009, 9 (11): : 101 - 104
  • [7] A wavelet transform based technique for the recognition of the human iris
    Boles, WW
    [J]. ISSPA 96 - FOURTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS, VOLS 1 AND 2, 1996, : 601 - 604
  • [8] Pilot Iris Recognition Based on Spherical Haar Wavelet and Convolutional Neural Network
    Jia Bo
    Feng Xiaoxin
    Li Jun
    Yu Biting
    Zhao Qian
    Wu Qi
    [J]. JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2021, 43 (04) : 939 - 947
  • [9] Histogram Patterns Recognition based on Wavelet Transform and Probabilistic Neural Network
    Wu Shaoxiong
    [J]. PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS A-C, 2008, : 2236 - 2238
  • [10] Control chart patterns recognition based on wavelet transform and neural network
    Wu, Shaoxiong
    Wu, Biying
    [J]. DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 590 - 593
12345