A Study on Performance Enhancement for Iris Recognition by Eyelash Detection 


Vol. 12,  No. 3, pp. 233-238, Jun.  2005
10.3745/KIPSTB.2005.12.3.233


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  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 iris 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.

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[IEEE Style]

B. J. Kang and K. R. Park, "A Study on Performance Enhancement for Iris Recognition by Eyelash Detection," The KIPS Transactions:PartB , vol. 12, no. 3, pp. 233-238, 2005. DOI: 10.3745/KIPSTB.2005.12.3.233.

[ACM Style]

Byung Joon Kang and Kang Ryoung Park. 2005. A Study on Performance Enhancement for Iris Recognition by Eyelash Detection. The KIPS Transactions:PartB , 12, 3, (2005), 233-238. DOI: 10.3745/KIPSTB.2005.12.3.233.

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