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
  • [1] New methods in iris recognition
    Daugman, John
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2007, 37 (05): : 1167 - 1175
  • [2] Efficient iris recognition system based on iris anatomical structure
    Xiaoyan Yuan
    Pengfei Shi
    IEICE ELECTRONICS EXPRESS, 2007, 4 (17): : 555 - 560
  • [3] Use of Artificial Color filtering to improve iris recognition and searching
    Fu, J
    Caulfield, HJ
    Yoo, SM
    Atluri, V
    PATTERN RECOGNITION LETTERS, 2005, 26 (14) : 2244 - 2251
  • [4] Dimension Reduction Methods for Iris Recognition
    Moravec, Pavel
    Snasel, Vaclav
    DATESO 2009 - DATABASES, TEXTS, SPECIFICATIONS, OBJECTS: PROCEEDINGS OF THE 9TH ANNUAL INTERNATIONAL WORKSHOP, 2009, 471 : 80 - 89
  • [5] MODIFICATIONS AND IMPROVEMENTS ON IRIS RECOGNITION
    Ferreira, Artur
    Lourenco, Andre
    Pinto, Barbara
    Tendeiro, Jorge
    BIOSIGNALS 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING, 2009, : 72 - 79
  • [6] 3D Iris Structure Impact on Iris Recognition
    Cerme, Gamze Nur
    Karakaya, Mahmut
    2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2015, : 907 - 910
  • [7] On the Effects of Time Variability in Iris Recognition
    Tome-Gonzalez, P.
    Alonso-Femandez, F.
    Ortega-Garcia, J.
    2008 IEEE SECOND INTERNATIONAL CONFERENCE ON BIOMETRICS: THEORY, APPLICATIONS AND SYSTEMS (BTAS), 2008, : 411 - 416
  • [8] New Recognition Methods for Human Iris Patterns
    Darabkh, Khalid A.
    Al-Zubi, Raed T.
    Jaludi, Mariam T.
    2014 37TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2014, : 1187 - 1191
  • [9] Parallelizing Iris Recognition
    Rakvic, Ryan N.
    Ulis, Bradley J.
    Broussard, Randy P.
    Ives, Robert W.
    Steiner, Neil
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2009, 4 (04) : 812 - 823
  • [10] Negative Iris Recognition
    Zhao, Dongdong
    Luo, Wenjian
    Liu, Ran
    Yue, Lihua
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2018, 15 (01) : 112 - 125
12345