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    Low-complexity iris recognition with oriented wavelets

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    Authors
    Velisavljević, Vladan
    Issue Date
    2009
    Subjects
    iris recognition
    image texture
    wavelet transforms
    
    Metadata
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    Abstract
    Iris recognition recently became an active field of biometric security because of reliability and easy non-invasive acquisition of the data. The randomness and stability of the iris textures allow for a convenient application in personal authentication and identification. In a novel iris recognition method presented here, the iris features are extracted using the oriented separable wavelet transforms (directionlets) and they are compared in terms of a weighted Hamming distance. The feature extraction and comparison are shift, size and rotation-invariant to the location of iris in the acquired image. The generated iris code is binary, whose length is fixed (and therefore commensurable), independent of the iris image, and comparatively short. The novel method shows a good performance when applied to a large database of irises and provides reliable identification and verification. At the same time, it preserves conceptual and computational simplicity and allows for a quick analysis and comparison of iris samples.
    Citation
    Velisavljević, V. (2009) 'Low-complexity iris recognitionwith oriented wavelets', 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 7-10 November. Cairo: IEEE, pp.1953-1956.
    Publisher
    IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
    URI
    http://hdl.handle.net/10547/292573
    DOI
    10.1109/ICIP.2009.5413469
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5413469
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICIP.2009.5413469
    Scopus Count
    Collections
    Centre for Wireless Research (CWR)

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