An Efficient Iris Recognition System

نویسندگان

  • YA-PING HUANG
  • SI-WEI LUO
  • EN-YI CHEN
چکیده

Iris recognition, a relatively new biometric technology, has great advantages, such as variability, stability and security, thus it is the most promising for high security environments. A new iris recognition algorithm is proposed in this paper, which adopts Independent Component Analysis (ICA) to extract iris texture feature and competitive learning mechanism to recognize iris pattern. Experimental results show that the algorithm is efficient and adaptive to environment, e.g. it works well even for blurred iris image, variable illumination, and interference of eyelids and eyelashes.

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تاریخ انتشار 2002