Radu, Petru, Sirlantzis, Konstantinos, Howells, Gareth, Hoque, Sanaul, Deravi, Farzin (2013) Optimizing 2D Gabor Filters for Iris Recognition. In: Emerging Security Technologies (EST), 2013 Fourth International Conference on. . pp. 47-50. IEEE (doi:10.1109/EST.2013.15) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:41367)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1109/EST.2013.15 |
Abstract
The randomness and richness present in the iris texture make the 2D Gabor filter bank analysis a suitable technique to be used for iris recognition systems. To accurately characterize complex texture structures using 2D Gabor filters it is necessary to use multiple sets of parameters of this type of filters. This paper proposes a technique of optimizing multiple sets of 2D Gabor filter parameters to gradually enhance the accuracy of an iris recognition system. The proposed methodology is suitable to be applied on both near infrared and visible spectrum iris images. To illustrate the efficiency of the filter bank design technique, UBIRISv1 database was used for benchmarking
Item Type: | Conference or workshop item (Paper) |
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DOI/Identification number: | 10.1109/EST.2013.15 |
Subjects: | T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Konstantinos Sirlantzis |
Date Deposited: | 10 Jun 2014 08:34 UTC |
Last Modified: | 05 Nov 2024 10:25 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/41367 (The current URI for this page, for reference purposes) |
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