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
  • [41] Iris Recognition using Feature Optimization
    Charan, S. G.
    PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON APPLIED AND THEORETICAL COMPUTING AND COMMUNICATION TECHNOLOGY (ICATCCT), 2016, : 726 - 731
  • [42] TEXTURE ANALYSIS BASED IRIS RECOGNITION
    Gurkan, Guray
    Akan, Aydin
    ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, 2006, 6 (01): : 13 - 17
  • [43] A New Approach for Cancelable Iris Recognition
    Yang, Kai
    Yan, Sui
    Zhou, Zhi
    Du, Yingzi
    Zou, Xukai
    MOBILE MULTIMEDIA/IMAGE PROCESSING, SECURITY, AND APPLICATIONS 2010, 2010, 7708
  • [44] DCT-based iris recognition
    Monro, Donald M.
    Rakshit, Soumyadip
    Zhang, Dexin
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2007, 29 (04) : 586 - 595
  • [45] Review of iris segmentation and recognition using deep learning to improve biometric application
    Rasheed, Hind Hameed
    Shamini, Sara Swathy
    Mahmoud, Moamin A.
    Alomari, Mohammad Ahmed
    JOURNAL OF INTELLIGENT SYSTEMS, 2023, 32 (01)
  • [46] Iris recognition: An emerging biometric technology
    Wildes, RP
    PROCEEDINGS OF THE IEEE, 1997, 85 (09) : 1348 - 1363
  • [47] Patch Based Descriptors for Iris Recognition
    Emerich, Simina
    Malutan, Raul
    Lupu, Eugen
    Lefkovits, Laszlo
    2016 IEEE 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP), 2016, : 187 - 191
  • [48] Iris Recognition using Steerable Pyramids
    Khiari, Nefissa
    Mahersia, Hela
    Hamrouni, Kamel
    2008 FIRST INTERNATIONAL WORKSHOPS ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA), 2008, : 378 - 384
  • [49] IRIS RECOGNITION WITH PHASE - ONLY CORRELATION
    Teusdea, Alin Cristian
    Gabor, Gianina
    ANNALS OF DAAAM FOR 2009 & PROCEEDINGS OF THE 20TH INTERNATIONAL DAAAM SYMPOSIUM, 2009, 20 : 189 - 190
  • [50] Robust iris recognition with region division
    Park, J
    Lee, C
    IMAGE PROCESSING: ALGORITHMS AND SYSTEMS IV, 2005, 5672 : 161 - 168
12345