An Improvement Method for Daugman's Iris Localization Algorithm

被引：0
|
作者：
Peng, Zhi-Yong [1 ]
Li, Hong-Zhou [1 ]
Liu, Jian-Ming [1 ]
机构：
[1] Guilin Univ Elect Technol, Guilin 541004, Guangxi, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2011, PT II | 2011年 / 6676卷
关键词：
iris; localization; inner boundary; outer boundary; FACE-RECOGNITION;
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：
An improvement method is present in this paper for Daugman's iris localization algorithm. It may make iris localization more rapid and more precise. It may also decrease the computational complexity of the localization algorithm by reducing the search area for the iris boundary center and the radius, In addition, a new method excluding the upper and lower eyelids is proposed. Experiments indicate that the present method have better performance.
引用
收藏
页码：364 / 372
页数：9
相关论文
共 50 条
  • [21] A new method for iris localization
    Lu, J.
    Xie, M.
    ICIEA 2007: 2ND IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-4, PROCEEDINGS, 2007, : 2354 - 2357
  • [22] An Improved Iris Localization Method
    Pan, Meisen
    Xiong, Qi
    INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2022, 19 (02) : 173 - 185
  • [23] Analysis and improvement of an iris identification algorithm
    Yao, Peng
    Li, Jun
    Ye, Xueyi
    Zhuang, Zhenquan
    Li, Bin
    18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4, PROCEEDINGS, 2006, : 362 - +
  • [24] Study and improvement of iris location algorithm
    Sun, CT
    Zhou, CG
    Liang, YC
    Liu, XD
    ADVANCES IN BIOMETRICS, PROCEEDINGS, 2006, 3832 : 436 - 442
  • [25] An Iris Localization Method for Noisy Infrared Iris Images
    Kumar, Vineet
    Asati, Abhijit
    Gupta, Anu
    2015 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (ICSIPA), 2015, : 208 - 213
  • [26] Defining Iris Boundary Detail Method for Iris Localization
    Lu Hui-qiang
    2008 IEEE INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING WORKSHOP PROCEEDINGS, VOLS 1 AND 2, 2008, : 994 - 997
  • [27] Iris recognition-the need to recognise the iris as a dynamic biological system: Response to Daugman and Downing
    Rankin, D. M.
    Scotney, B. W.
    Morrow, P. J.
    Pierscionek, B. K.
    PATTERN RECOGNITION, 2013, 46 (02) : 611 - 612
  • [28] An Iris Localization Algorithm based on Morphological Processing
    Yu, Kun
    Xu, Zeyu
    Xu, Lixin
    INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS, 2015, 9 (03): : 153 - 161
  • [29] A Fast and Robust Method for Iris Localization
    Umer, Saiyed
    Dhara, Bibhas Chandra
    Chanda, Bhabatosh
    2014 FOURTH INTERNATIONAL CONFERENCE OF EMERGING APPLICATIONS OF INFORMATION TECHNOLOGY (EAIT), 2014, : 262 - 267
  • [30] The Research of the Improvement of Iris Location of the Sobel Algorithm
    Ping, Li Shi
    Xin, Dong
    ADVANCED MEASUREMENT AND TEST, PTS 1-3, 2011, 301-303 : 525 - 529
12345