• DocumentCode
    2385987
  • Title

    A multi-stage approach for non-cooperative iris recognition

  • Author

    Yang, Kai ; Du, Eliza Yingzi

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Indiana Univ.-Purdue Univ., Indianapolis, IN, USA
  • fYear
    2011
  • fDate
    9-12 Oct. 2011
  • Firstpage
    3386
  • Lastpage
    3391
  • Abstract
    In this paper, we proposed a robust multi-stage feature extraction and matching approach for non-cooperative iris recognition. To speed up the process, we used the SURF concept that treats the image as discrete and digital matrices. Unlike SURF method, we applied Gabor wavelets for feature extraction. More importantly, we designed a multi-scale feature point extraction method and a multi-stage matching scheme to improve the recognition accuracy and speed. The experimental results show that the proposed method can not only improve the process speed but also achieve better recognition accuracy.
  • Keywords
    Gabor filters; feature extraction; image matching; iris recognition; wavelet transforms; Gabor wavelets; SURF method; digital matrices; discrete matrices; image matching; multiscale feature point extraction method; multistage approach; multistage feature extraction; multistage matching scheme; noncooperative iris recognition; Databases; Feature extraction; Filter banks; Fitting; Gabor filters; Image segmentation; Iris recognition; multi-stage feature extraction and matching; speed-up non-cooperative iris recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4577-0652-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2011.6084192
  • Filename
    6084192