Optics and Precision Engineering, Volume. 21, Issue 1, 197(2013)

Iris recognition based on PCHIP-LMD

LI Huan-li1,2, GUO LI-hong1、*, CHEN Tao1, YANG Li-mei3, and WANG Xin-zui4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
  • show less
    References(17)

    [1] [1] WANG Y H, ZHU Y, TAN T N. Biometrics personal identification based on iris pattern [J]. Acta Automatic Sinica, 2002, 28(1) : 1-10. (in Chinese)

    [2] [2] DAUGMAN J. High confidence visual recognition of persons by a test of statistical independence [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993,15 (11):1148-1161.

    [3] [3] WILDES R, ASMUTH J, GREEN G, et al.. A machine-vision system for iris recognition [J]. Machine Vision and Applications, 1996,9(1):1-8.

    [4] [4] BOLES W W, BOASHASH B. A human identification technique using images of the iris and wavelet transform [J]. IEEE Transactions on Signal Processing, 1998, 46 (4):1185-1188.

    [5] [5] HUANG N, SHEN Z, LONG S, et al.. The empirical mode decomposition and hilbert spectrum for nonlinear and nonstationary time series analysis [J]. Proc. of the Royal Society of London, 1998,454 (1971):903-995.

    [7] [7] SMITH J S. The local mean decomposition and its application to EEG perception data [J]. Journal of the Royal Society Inter-face, 2005, 2(5): 443-454.

    [8] [8] WANG M D, ZHANG L B, LIANG W, et al.. Local mean decomposition method based on Bpli ne interpolation [J]. Journal of Vibration and Shock, 2010, 29(11) :73-77.

    [9] [9] CHENG J SH, ZHANG K, YANG Y, et al.. Comparison between the methods of local mean decomposition and empirical mode decomposition [J]. Journal of Vibration and Shock, 2009, 28(5):13-16. (in Chinese)

    [10] [10] YY D Y, CHEN D Q. Introduction to Numercal Analysis [M], Hangzhou: Zhejiang University press, 1988. (in Chinese)

    [12] [12] LIU W H. Research of iris recognition based on empirical mode decomposition [D]. Changsha: Changsha University of Science & Technology, 2009. (in Chinese)

    [13] [13] LUO ZH L. Iris biometric extraction and recongnition [D]. Guangzhou: South China University of Technology, 2010. (in Chinese)

    [14] [14] CHENG Y Q, ZHU M, LI G J, et al.. Rapid iris localization based on method of iterative pixel ratio to cirque area [J]. Opt. Precision Eng., 2010,10(10):2306-2313. (in Chinese)

    [15] [15] DAUGMAN J. How iris recognition works [J]. IEEE Transactions on Circuitsand Systems for Video Technology, 2004, 14(1):21-30.

    [16] [16] HE ZH F. Iris Image Preprocessing and Feature Analysis [D]. Beijing: Institude of Automation, Chinese Academy of Sciences, 2010. (in Chinese)

    [17] [17] CHENG Y Q. Research on iris recognition algorithms for personal identification [D]. Changchun: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science, 2010. (in Chinese)

    CLP Journals

    [1] L Guo-qiang, LIANG Jian-tian, LU Yun-long, ZHANG Ying-song, FANG Yong. Real-time color management for displays[J]. Optics and Precision Engineering, 2016, 24(2): 292

    Tools

    Get Citation

    Copy Citation Text

    LI Huan-li, GUO LI-hong, CHEN Tao, YANG Li-mei, WANG Xin-zui. Iris recognition based on PCHIP-LMD[J]. Optics and Precision Engineering, 2013, 21(1): 197

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Oct. 23, 2012

    Accepted: --

    Published Online: Mar. 5, 2013

    The Author Email: GUO LI-hong (guolh@ciomp.ac.cn)

    DOI:10.3788/ope.20132101.0197

    Topics