Iris Center Localization Using Geodesic Distance and CNN

被引:2
|
作者
Fusek, Radovan [1 ]
Sojka, Eduard [1 ]
机构
[1] Tech Univ Ostrava, FEECS, Dept Comp Sci, 17 Listopadu 2172-15, Ostrava 70800, Czech Republic
来源
PATTERN RECOGNITION AND IMAGE ANALYSIS, IBPRIA 2019, PT II | 2019年 / 11868卷
关键词
CNN; Iris detection; Geodesic distance; Deep learning;
D O I
10.1007/978-3-030-31321-0_7
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we propose a new eye iris center localization method for remote tracking scenarios. The method combines the geodesic distance with CNN-based classification. Firstly, the geodesic distance is used for fast preliminary localization of the regions possibly containing the iris. Then a convolutional neural network is used to carry out the final decision and to refine the final position of the iris center. In the first step, the areas that do not appear to contain the eyeball are quickly filtered out, which makes the whole algorithm fast even on less powerful computers. The proposed method is evaluated and compared with the state-of-the-art methods on two publicly available datasets focused to the remote tracking scenarios (namely BioID [9] , GI4E [15]).
引用
收藏
页码:76 / 85
页数:10
相关论文
共 50 条
  • [21] Iris Center Localization Using Energy Map With Image Inpaint Technology and Post-Processing Correction
    Dai, Lihong
    Liu, Jinguo
    Ju, Zhaojie
    Gao, Yang
    IEEE ACCESS, 2020, 8 : 16965 - 16978
  • [22] Eye Biometrics Combined with Periocular and Iris Recognition Using CNN
    Tonosaki, Taito
    Kawakami, Shokei
    Ito, Koichi
    Aoki, Takafumi
    Yasumura, Yoshiko
    Fujio, Masakazu
    Kaga, Yosuke
    Takahashi, Kenta
    2023 ASIA PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE, APSIPA ASC, 2023, : 1804 - 1810
  • [23] Accurate Iris Localization Using Contour Segments
    Li, Haiqing
    Sun, Zhenan
    Tan, Tieniu
    2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), 2012, : 3398 - 3401
  • [24] Iris recognition using collarette boundary localization
    Sung, HH
    Lim, J
    Park, JH
    Lee, Y
    PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4, 2004, : 857 - 860
  • [25] Automatic Localization of Iris Using Region Properties
    Ali, Haider
    Ali, Ahmad
    Ul Husnain, Riaz
    Khan, Roman
    Khan, Mohsin
    Khan, Ihsan Ullah
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2011, 11 (07): : 93 - 97
  • [26] Image recoloring using geodesic distance based color harmonization
    Xujie Li
    Hanli Zhao
    Guizhi Nie
    Hui Huang
    ComputationalVisualMedia, 2015, 1 (02) : 143 - 155
  • [27] Elimination of iris hazards intended for localization using visible features of iris region
    Thiyaneswaran, B.
    Kandiban, R.
    Jayakumar, K. S.
    INTERNATIONAL CONFERENCE ON MODELLING OPTIMIZATION AND COMPUTING, 2012, 38 : 246 - 252
  • [28] MULTIVARIATE TEXTURE RETRIEVAL USING THE SIRV REPRESENTATION AND THE GEODESIC DISTANCE
    Bombrun, Lionel
    Lasmar, Nour-Eddine
    Berthoumieu, Yannick
    Verdoolaege, Geert
    2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2011, : 865 - 868
  • [29] A Genetic Algorithm Based Clustering Using Geodesic Distance Measure
    Li, Gang
    Zhuang, Jian
    Hou, Hongning
    Yu, Dehong
    2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 1, 2009, : 274 - 278
  • [30] Sparse Data Interpolation Using the Geodesic Distance Affinity Space
    Mozerov, Mikhail G.
    Yang, Fei
    van de Weijer, Joost
    IEEE SIGNAL PROCESSING LETTERS, 2019, 26 (06) : 943 - 947