Abstract
An iris recognition system uses the iris to distinguish the identity of a person using the rich iris texture feature. To effectively remove noise and precisely segment the stable iris region is a crucial stage prior to recognition. Most noises on iris images are caused by occlusion of eyelids or eyelashes in certain areas. In this paper, we propose an iris recognition system which precisely locates and segments iris regions. We extract the iris feature from a relatively reliable portion of the iris region using a DoG filter. Experimental results show that the proposed iris recognition system has satisfactory results in terms of time efficiency and recognition rate.
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Keywords
- Biometric recognition
- Iris recognition
- Iris segmentation
- Iris normalization
- Feature extraction
- Difference of Gaussian (DoG)
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© 2014 Springer Science+Business Media Dordrecht
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Lin, H.J., Li, Y.S., Wang, Y.S., Wei, S.M. (2014). Iris Recognition. In: Huang, YM., Chao, HC., Deng, DJ., Park, J. (eds) Advanced Technologies, Embedded and Multimedia for Human-centric Computing. Lecture Notes in Electrical Engineering, vol 260. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7262-5_99
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DOI: https://doi.org/10.1007/978-94-007-7262-5_99
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Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-7261-8
Online ISBN: 978-94-007-7262-5
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