Journal of Jilin University Science Edition

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Improved FCM Algorithm Based on Polar Coordinates Transformation for Iris Location

WANG Yang1,2, PANG Yanni3, ZUO Ping4   

  1. 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China;2. Center for Computer Fundamental Education, Jilin University, Changchun 130012, China;3. College of Mathematics, Jilin University, Changchun 130012, China;4. Department of Foundation, Aviation University of Air Force, Changchun 130022, China
  • Received:2013-04-07 Online:2014-05-26 Published:2014-08-27
  • Contact: PANG Yanni E-mail:pangyn@jlu.edu.cn

Abstract:

A new twostep location approach combing coarse location with fine location was presented for iris location under nonideal situation. Improved fuzzy C-mean clustering based on polar coordinates transformation was proposed for the coarse iris location and a kind of dynamic circular edge template was adopted by the fine iris location. Having used polar coordinates as clustering attribute and relaxed fuzzy clustering restriction, the proposed algorithm improves the robustness of iris location. The experimental results prove the validity of this approach convincingly.

Key words:  iris location, iris identification, polar coordinates transformation, improved fuzzy C-mean

CLC Number: 

  • TP391.1