Real-time iris localization for iris recognition in cellular phone

被引:0
|
作者
Cho, DH [1 ]
Park, KR [1 ]
Rhee, DW [1 ]
机构
[1] Sangmyung Univ, Dept Comp Sci, Seoul, South Korea
关键词
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
With the increasing need of guaranteeing the security in case of using bank transaction service by using cellular phone, it is required to apply biometrics for the security of cellular phone. Especially, iris recognition is good for cellular phone security because of its reliability and accuracy compared to other biometrics such as face, fingerprint and voice recognition. In this paper, we propose a new pupil and iris localization algorithm, which is apt for cellular phone platform based on detecting dark pupil and corneal specular reflection by changing brightness & contrast value. In addition, we lessen the processing time by excluding floating point operation in our algorithm, which is not apt for ARM CPU of CDMA cellular phone. Results show that our algorithm can be used for real-time iris localization for iris recognition in cellular phone.
引用
收藏
页码:254 / 259
页数:6
相关论文
共 50 条
  • [41] Biometric iris recognition system using a fast and robust iris localization and alignment procedure
    Ganeshan, B
    Theckedath, D
    Young, R
    Chatwin, C
    OPTICS AND LASERS IN ENGINEERING, 2006, 44 (01) : 1 - 24
  • [42] Quality-driven and real-time iris recognition from close-up eye videos
    Nemesin, Valerian
    Derrode, Stephane
    SIGNAL IMAGE AND VIDEO PROCESSING, 2016, 10 (01) : 153 - 160
  • [43] Quality-driven and real-time iris recognition from close-up eye videos
    Valérian Némesin
    Stéphane Derrode
    Signal, Image and Video Processing, 2016, 10 : 153 - 160
  • [44] 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
  • [45] Design of Small Distortion Phone Lens Based on Iris Recognition
    Yu Xuelian
    Guo Bingmei
    Li Xiufang
    Shen Tao
    LASER & OPTOELECTRONICS PROGRESS, 2020, 57 (01)
  • [46] Iris recognition for iris tilted in depth
    Chun, CN
    Chung, R
    COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS, 2003, 2756 : 530 - 539
  • [47] An iris segmentation procedure for iris recognition
    Yuan, XY
    Shi, PF
    ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, 2004, 3338 : 546 - 553
  • [48] Iris recognition in mobile phone based on adaptive gabor filter
    Jeong, DS
    Park, HA
    Park, KR
    Kim, JH
    ADVANCES IN BIOMETRICS, PROCEEDINGS, 2006, 3832 : 457 - 463
  • [49] Real-Time Localization of a Person Using Smart Phone
    Poorani, M.
    Kumaresh, S.
    Karthick, K.
    Leena, V.
    Vaidehi, V.
    PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ADVANCED COMPUTING (ICRTAC-CPS 2018), 2018, : 66 - 72
  • [50] Real Time Iris Controlled Robot
    Khelbude, Priyanka
    Shelke, Sushama
    PROCEEDINGS OF 2016 ONLINE INTERNATIONAL CONFERENCE ON GREEN ENGINEERING AND TECHNOLOGIES (IC-GET), 2016,