Nonlinearity of iris structure as way to improve recognition methods

被引:0
|
作者
Chigrinskiy, Viktor [1 ]
Matveev, Ivan [2 ]
机构
[1] State Univ, Moscow Inst Phys & Technol, Moscow, Russia
[2] Russian Acad Sci, Fed Res Ctr Comp Sci & Control, Moscow, Russia
来源
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (ICPRAI 2018) | 2018年
关键词
image processing; computer vision; biometrics; iris recognition; optical flow;
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
Nonlinear movements of elements of human iris during pupil size variations is studied. Tracking of iris elements is done with the help of optical flow methods. The aim is to estimate a radially symmetric function which describes positions of iris structural elements with respect to pupil size. Knowing this function can help to reduce differences of iris patterns of the same eyes which leads to improving iris recognition methods. To estimate this function pairs
引用
收藏
页码:652 / 655
页数:4
相关论文
共 50 条
  • [31] Iris Recognition Through Feature Extraction Methods: A Biometric Approach
    Khan, Samra Urooj
    Taujuddin, N. S. A. M.
    Qadir, Tara Othman
    Khan, Sundas Naqeeb
    Khan, Zoya
    19TH IEEE STUDENT CONFERENCE ON RESEARCH AND DEVELOPMENT (SCORED 2021), 2021, : 339 - 344
  • [32] Iris Recognition Method Based on Parallel Iris Localization Algorithm and Deep Learning Iris Verification
    Wei, Yinyin
    Zhang, Xiangyang
    Zeng, Aijun
    Huang, Huijie
    SENSORS, 2022, 22 (20)
  • [33] Sub-iris Technique for Non-ideal Iris Recognition
    Shahrizan Jamaludin
    Nasharuddin Zainal
    W Mimi Diyana W Zaki
    Arabian Journal for Science and Engineering, 2018, 43 : 7219 - 7228
  • [34] Sub-iris Technique for Non-ideal Iris Recognition
    Jamaludin, Shahrizan
    Zainal, Nasharuddin
    Zaki, W. Mimi Diyana W.
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2018, 43 (12) : 7219 - 7228
  • [35] Iris Recognition System for Smart Environments
    Gupta, Kirti
    Gupta, Rashmi
    2014 INTERNATIONAL CONFERENCE ON DATA MINING AND INTELLIGENT COMPUTING (ICDMIC), 2014,
  • [36] Iris on the move: Acquisition of images for iris recognition in less constrained environments
    Matey, James R.
    Naroditsky, Oleg
    Hanna, Keith
    Kolczynski, Ray
    LoIacono, Dominick J.
    Mangru, Shakuntala
    Tinker, Michael
    Zappia, Thomas M.
    Zhao, Wenyi Y.
    PROCEEDINGS OF THE IEEE, 2006, 94 (11) : 1936 - 1947
  • [37] Cataract influence on iris recognition performance
    Trokielewicz, Mateusz
    Czajka, Adam
    Maciejewicz, Piotr
    PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2014, 2014, 9290
  • [38] Iris Recognition Using Vector Quantization
    Kekre, H. B.
    Sarode, T. K.
    Bharadi, V. A.
    Agrawal, A. A.
    Arora, R. J.
    Nair, M. C.
    2010 INTERNATIONAL CONFERENCE ON SIGNAL ACQUISITION AND PROCESSING: ICSAP 2010, PROCEEDINGS, 2010, : 58 - 62
  • [39] Deep Learning for Iris Recognition: A Survey
    Nguyen, Kien
    Proenca, Hugo
    Alonso-Fernandez, Fernando
    ACM COMPUTING SURVEYS, 2024, 56 (09)
  • [40] Iris recognition under the influence of diabetes
    Azimi, Mohammadreza
    Rasoulinejad, Seyed Ahmad
    Pacut, Andrzej
    BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 2019, 64 (06): : 683 - 689