On the Feasibility of the Visible Wavelength, At-A-Distance and On-The-Move Iris Recognition

被引:0
|
作者
Proenca, Hugo [1 ]
机构
[1] Univ Beira Interior, Dept Comp Sci, Covilha, Portugal
关键词
D O I
暂无
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The dramatic growth in practical applications for iris biometrics has been accompanied by relevant developments in the underlying algorithms and techniques. Among others, one active research area concerns about the development of iris recognition systems less constrained to users, either increasing the imaging distances, simplifying the acquisition protocols or the required lighting conditions. In this paper we address the possibility of perform reliable recognition using visible wavelength images captured under high heterogeneous lighting conditions, with subjects at-a-distance (between 4 and 8 meters) and on-the-move. The feasibility of this extremely ambitious type of recognition is analyzed, its major obstacles and challenges discussed and some directions for forthcoming work pointed.
引用
收藏
页码:9 / +
页数:2
相关论文
共 50 条
  • [41] Coaxial optical structure for iris recognition from a distance
    Jung, Ho Gi
    Jo, Hyun Su
    Park, Kang Ryoung
    Kim, Jaihie
    OPTICAL ENGINEERING, 2011, 50 (05)
  • [42] Deep Learning-Based Iris Segmentation for Iris Recognition in Visible Light Environment
    Arsalan, Muhammad
    Hong, Hyung Gil
    Naqvi, Rizwan Ali
    Lee, Min Beom
    Kim, Min Cheol
    Kim, Dong Seop
    Kim, Chan Sik
    Park, Kang Ryoung
    SYMMETRY-BASEL, 2017, 9 (11):
  • [43] Iris Recognition with a Database of Iris Images Obtained in Visible Light Using Smartphone Camera
    Trokielewicz, Mateusz
    2016 IEEE INTERNATIONAL CONFERENCE ON IDENTITY, SECURITY AND BEHAVIOR ANALYSIS (ISBA), 2016,
  • [44] Improved Iris Recognition through Fusion of Hamming Distance and Fragile Bit Distance
    Hollingsworth, Karen P.
    Bowyer, Kevin W.
    Flynn, Patrick J.
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2011, 33 (12) : 2465 - 2476
  • [45] An Optimized Wavelength Band Selection for Heavily Pigmented Iris Recognition
    Gong, Yazhuo
    Zhang, David
    Shi, Pengfei
    Yan, Jingqi
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2013, 8 (01) : 64 - 75
  • [46] One Hamming Distance Deviation Matching Approach For Iris Recognition
    Lv Hanfei
    Jiang Congfeng
    INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS, 2014, 8 (05): : 277 - 289
  • [47] Iris recognition using SIFT descriptors with different distance measures
    Pavaloi, Ioan
    Nita, Cristina Diana
    PROCEEDINGS OF THE 2018 10TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI), 2018,
  • [48] ENHANCED IRIS RECOGNITION BASED ON IMAGE MATCH AND HAMMING DISTANCE
    Gao Xiaoxing
    Feng Sumin
    Cui Han
    INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 2015, 8 (02): : 1085 - 1103
  • [49] Accurate Iris Recognition at a Distance Using Stabilized Iris Encoding and Zernike Moments Phase Features
    Tan, Chun-Wei
    Kumar, Ajay
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 23 (09) : 3962 - 3974
  • [50] Non-circular iris contours localization in the visible wavelength eye images
    Jan, Farmanullah
    COMPUTERS & ELECTRICAL ENGINEERING, 2017, 62 : 166 - 177