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A Study on Eye Detection by Using Adaboost for Iris Recognition in Mobile Environments  

Park, Kang-Ryoung (Dept. of Electronics Engineering, Dangguk University)
Park, Sung-Hyo (Dept. of Computer Science, Sangmyung University)
Cho, Dal-Ho (Dept. of Computer Science, Sangmyung University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.45, no.4, 2008 , pp. 1-11 More about this Journal
Abstract
In this paper, we propose the new eye detection method by using adaboost (adaptive boosting) method. Also, to reduce the false alarm rate which identifies the non-eye region as genuine eye that is the Problems of previous method using conventional adaboost, we proposed the post processing methods which used the cornea specular reflection and determined the optimized ratio of eye detecting box. Based on detected eye region by using adaboost, we performed the double circular edge detector for localizing a pupil and an iris region at the same time. Experimental results showed that the accuracy of eye detection was about 98% and the processing time was less than 1 second in mobile device.
Keywords
Iris recognition; Eye detection; Adaboost; Iris localization; Mobile device;
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Times Cited By KSCI : 1  (Citation Analysis)
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