Reliable and Fast Eye Finding in Close-up Images
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Combining Crypto with Biometrics Effectively
IEEE Transactions on Computers
Novel and Fast Approach for Iris Location
IIH-MSP '07 Proceedings of the Third International Conference on International Information Hiding and Multimedia Signal Processing (IIH-MSP 2007) - Volume 01
An efficient iris recognition system based on modular neural networks
NN'08 Proceedings of the 9th WSEAS International Conference on Neural Networks
A Novel Circle Detection Method for Iris Segmentation
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 3 - Volume 03
Efficient iris recognition scheme based on difference of filters
WSEAS Transactions on Computer Research
Iris recognition based on multialgorithmic fusion
WSEAS Transactions on Information Science and Applications
Real-time detection of face and iris
WSEAS Transactions on Signal Processing
Fast Algorithm for Iris Localization Using Daugman Circular Integro Differential Operator
SOCPAR '09 Proceedings of the 2009 International Conference of Soft Computing and Pattern Recognition
Iris boundary detection using a novel algorithm
ACE'10 Proceedings of the 9th WSEAS international conference on Applications of computer engineering
Fast algorithm for iris detection
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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The Iris based identification systems have been noticed exceedingly, presently. In this process, the iris should be segmented from captured eye image. The low contrast between pupil and iris, usually, will harden the segmenting process and will decrease the accuracy of detecting boundary between them. In order to segment the iris more precise, we propose a new technique using a difference function and a factor matrix. We also modify the segmentation operator to detect the pupil and iris as ellipse instead of circle. Experiments show that the proposed technique can segment the iris region and pupil region precisely. Based on our result, 99.34% of eyes have been segmented accurately in 1.24s averagely.