A System for Automatic Iris Capturing

    •  Guodong Guo, Michael Jones and Paul Beardsley, "A System for Automatic Iris Capturing", Tech. Rep. TR2005-044, Mitsubishi Electric Research Laboratories, Cambridge, MA, June 2005.
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      • @techreport{MERL_TR2005-044,
      • author = {Guodong Guo and Michael Jones and Paul Beardsley},
      • title = {A System for Automatic Iris Capturing},
      • institution = {MERL - Mitsubishi Electric Research Laboratories},
      • address = {Cambridge, MA 02139},
      • number = {TR2005-044},
      • month = jun,
      • year = 2005,
      • url = {}
      • }
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  • Research Areas:

    Artificial Intelligence, Computer Vision, Machine Learning

Biometrics is increasingly important in security applications. Iris recognition provides the greatest accuracy among known biometrics. The accuracy of iris recognition is, for example, much greater than face recognition and fingerprint recognition. However, it is not trivial to capture iris images in practice, and usually the users need to adjust their eye positions for iris image acquisition (e.g., the classical Daugman's and Wildes systems). This paper describes a new system to capture iris images automatically without user interaction. It works at a distance of over l meter to the users. Experimental results demonstrate the performance of the system.