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» Experiments with an Improved Iris Segmentation Algorithm
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AUTOID
2005
IEEE
14 years 4 months ago
Experiments with an Improved Iris Segmentation Algorithm
Iris is claimed to be one of the best biometrics. We have collected a large data set of iris images, intentionally sampling a range of quality broader than that used by current co...
Xiaomei Liu, Kevin W. Bowyer, Patrick J. Flynn
TSMC
2008
222views more  TSMC 2008»
13 years 11 months ago
Improving Iris Recognition Performance Using Segmentation, Quality Enhancement, Match Score Fusion, and Indexing
Abstract--This paper proposes algorithms for iris segmentation, quality enhancement, match score fusion, and indexing to improve both the accuracy and the speed of iris recognition...
Mayank Vatsa, Richa Singh, Afzel Noore
IJCNN
2007
IEEE
14 years 5 months ago
Using Artificial Neural Networks and Feature Saliency Techniques for Improved Iris Segmentation
—One of the basic challenges to robust iris recognition is iris segmentation. This paper proposes the use of a feature saliency algorithm and an artificial neural network to perf...
Randy P. Broussard, Lauren R. Kennell, David L. So...
ICPR
2008
IEEE
14 years 5 months ago
Iris localization based on multi-resolution analysis
Iris localization is an especially important step in the whole iris recognition system, for it determines the accuracy of matching partially. To improve its accuracy and efficienc...
Lili Pan, Mei Xie, Zheng Ma
CVPR
2009
IEEE
15 years 6 months ago
Image Deblurring for Less Intrusive Iris Capture
For most iris capturing scenarios, captured iris images could easily blur when the user is out of the depth of field (DOF) of the camera, or when he or she is moving. The common...
Xinyu Huang (University of Kentucky), Liu Ren (Rob...