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http://dx.doi.org/10.3745/KIPSTB.2005.12B.3.233

A Study on Performance Enhancement for Iris Recognition by Eyelash Detection  

Kang Byung Joon (상명대학교 컴퓨터과학과)
Park Kang Ryoung (상명대학교 미디어학부)
Publication Information
The KIPS Transactions:PartB / v.12B, no.3, 2005 , pp. 233-238 More about this Journal
Abstract
With iris recognition algorithm, unique iris code can be generated and user can be identified by using iris pattern. However, if unnecessary information such as eyelash is included in iris region, the error for iris recognition is increased, consequently. In detail, if iris region is used to generate ins code not excluding eyelash and the position of eyelash is moved, the iris codes are also changed and the error rate is increased. To overcome such problem, we propose the method of detecting eyelash by using mask and excluding the detected eyelash region in case of generating iris code. Experimental results show that EER(Equal Error Rate) for iris recognition using the proposed algorithm is lessened as much as $0.18\%$ compared to that not using it.
Keywords
Iris Recognition; Eyelash Detection;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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