Using 2D log-gabor spatial filters for iris recognition

被引：5
|
作者：
Du, Yingzi [1 ]
机构：
[1] Indiana Univ Purdue Univ, Purdue Sch Engn & Technol, Dept Elect & Comp Engn, Indianapolis, IN 46202 USA
来源：
BIOMETRIC TECHNOLOGY FOR HUMAN IDENTIFICATION III | 2006年 / 6202卷
关键词：
iris recognition; 2D log-gabor spatial filter;
D O I：
10.1117/12.663834
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The iris is the colored ring of tissue behind the cornea and in front of the lens. The pattern within the iris is very unique to each person, and even the left eye is unique from the right eye. Compared with other biometric features (such face, voice, and etc), the iris is more stable and reliable. This paper proposes a new approach to iris recognition using 2D Log-Gabor spatial filters. Gabor filter has the disadvantage of DC component whenever the bandwidth is larger than one octave. The Log Gabor function removes the DC component. While the 1D Log-Gabor filter captures only the horizontal patterns, the 2D approach can capture the two dimensional characteristics of the iris patterns. Preliminary experimental results show that the proposed method has an encouraging performance.
引用
收藏
页数：8
相关论文
共 50 条
  • [1] Analysis of 2D log-Gabor filters to encode iris patterns
    Bastos, Carlos A. C. M.
    Ren, Tsang Ing
    Cavalcanti, George D. C.
    [J]. 22ND INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2010), PROCEEDINGS, VOL 2, 2010, : 377 - 378
  • [2] Iris recognition algorithm using modified Log-Gabor filters
    Yao, Peng
    Li, Jun
    Ye, Xueyi
    Zhuang, Zhenquan
    Li, Bin
    [J]. 18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4, PROCEEDINGS, 2006, : 461 - +
  • [3] A Robust Iris Feature Extraction Approach Based on Monogenic and 2D Log-Gabor Filters
    Aydi, Walid
    Fadhel, Nade
    Masmoudi, Nouri
    Kamoun, Lotfi
    [J]. JOURNAL OF INTELLIGENT SYSTEMS, 2015, 24 (02) : 161 - 179
  • [4] Iris recognition using modified Log-Gabor wavelets
    Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230026, China
    [J]. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao, 2007, 5 (563-568+574):
  • [5] 2D Log-Gabor Wavelet Based Action Recognition
    Li, Ning
    Xu, De
    [J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2009, E92D (11): : 2275 - 2278
  • [6] An algorithm of Iris feature-extracting based on 2D Log-Gabor
    LinTao Lv
    QinQin Yuan
    ZhiXun Li
    [J]. Multimedia Tools and Applications, 2019, 78 : 22643 - 22666
  • [7] Optimizing 2D Gabor Filters for Iris Recognition
    Radu, P.
    Sirlantzis, K.
    Howells, W. G. J.
    Hoque, S.
    Deravi, F.
    [J]. 2013 FOURTH INTERNATIONAL CONFERENCE ON EMERGING SECURITY TECHNOLOGIES (EST), 2013, : 47 - 50
  • [8] An algorithm of Iris feature-extracting based on 2D Log-Gabor
    Lv, LinTao
    Yuan, QinQin
    Li, ZhiXun
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (16) : 22643 - 22666
  • [9] Character segmentation-by-recognition using Log-Gabor filters
    Mancas-Thillou, Celine
    Gosselin, Bernard
    [J]. 18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS, 2006, : 901 - +
  • [10] 2D log-Gabor Filters for Competitive Coding-Based Multi-Spectral Palmprint Recognition
    Bounneche, Meriem D.
    Boubchir, Larbi
    Ali-Cherif, Arab
    Bouridane, Ahmed
    Nekhoul, Bachir
    [J]. 2016 39TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), 2016, : 677 - 680
12345