Iris recognition at a distance with expanded imaging volume

被引:4
|
作者
Narayanswamy, Ramkumar [1 ]
Silveira, Paulo E. X. [1 ]
机构
[1] CMD Opt Inc, Boulder, CO 80303 USA
关键词
iris recognition; imaging systems; depth-of-field; computational imaging; biometric identification;
D O I
10.1117/12.666883
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The human iris is an attractive biometric due to its high discrimination capability. However, capturing good quality images of human irises is challenging and requires considerable user cooperation. Iris capture systems with large depth of field, large field of view and excellent capacity for light capture can help considerably in such scenarios. In this paper we apply Wavefront Codingg to increase the depth of field without increasing the optical F/# of an iris recognition system when the subject is at least 2 meters away. This computational imaging system is designed and optimized using the spectral-SNR as the fundamental metric. We present simulation and experimental results that show the benefits of this technology for biometric identification.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Imaging the Iris with Swept Source Optical Coherence Tomography - Impact of Iris Volume Measurement on Primary Angle Closure
    Mak, Heather
    Xu, Guihua
    Leung, Christopher
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2013, 54 (15)
  • [42] An Iris preprocessing and segmentation procedures for Iris Recognition
    Walha, Faiza
    Khmila, Honda
    Khanfir Kallel, Imen
    2022 8TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'22), 2022, : 303 - 308
  • [43] A robust iris localization scheme for the iris recognition
    Farmanullah Jan
    Nasro Min-Allah
    Shahrukh Agha
    Imran Usman
    Irfanullah Khan
    Multimedia Tools and Applications, 2021, 80 : 4579 - 4605
  • [44] A robust iris localization scheme for the iris recognition
    Jan, Farmanullah
    Min-Allah, Nasro
    Agha, Shahrukh
    Usman, Imran
    Khan, Irfanullah
    MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (03) : 4579 - 4605
  • [45] Effects of Iris Surface Curvature on Iris Recognition
    Thompson, Joseph
    Flynn, Patrick
    Bowyer, Kevin
    Santos-Villalobos, Hector
    2013 IEEE SIXTH INTERNATIONAL CONFERENCE ON BIOMETRICS: THEORY, APPLICATIONS AND SYSTEMS (BTAS), 2013,
  • [46] Optimal Generation of Iris Codes for Iris Recognition
    Hu, Yang
    Sirlantzis, Konstantinos
    Howells, Gareth
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2017, 12 (01) : 157 - 171
  • [47] Improvement of iris location accuracy in iris recognition
    Wei, Yinyin
    Zeng, Aijun
    Zhang, Xiangyang
    Huang, Huijie
    AOPC 2021: OPTICAL SENSING AND IMAGING TECHNOLOGY, 2021, 12065
  • [48] Half Iris Gabor Based Iris Recognition
    Ali, Musab A. M.
    Tahir, Nooritawati Md
    2014 IEEE 10TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & ITS APPLICATIONS (CSPA 2014), 2014, : 282 - 287
  • [49] Improved Iris Localization Method for Iris Recognition
    Liang, Sida
    Zeng, Aijun
    Gu, Liyuan
    Hu, Jingpei
    Huang, Huijie
    SIXTH INTERNATIONAL CONFERENCE ON OPTICAL AND PHOTONIC ENGINEERING (ICOPEN 2018), 2018, 10827
  • [50] Iris Recognition System
    Kak, Neha
    Gupta, Rishi
    Mahajan, Sanchit
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2010, 1 (01) : 34 - 40