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» Modifications and Improvements on Iris Recognition
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WACV
2008
IEEE
14 years 5 months ago
Iris Extraction Based on Intensity Gradient and Texture Difference
Biometrics has become more and more important in security applications. In comparison with many other biometric features, iris recognition has very high recognition accuracy. Succ...
Guodong Guo, Michael J. Jones
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...
ICB
2009
Springer
134views Biometrics» more  ICB 2009»
14 years 5 months ago
Image Averaging for Improved Iris Recognition
We take advantage of the temporal continuity in an iris video to improve matching performance using signal-level fusion. From multiple frames of an iris video, we create a single a...
Karen Hollingsworth, Kevin W. Bowyer, Patrick J. F...
TIFS
2011
252views Education» more  TIFS 2011»
13 years 5 months ago
Quality Assessment of Degraded Iris Images Acquired in the Visible Wavelength
—Data quality assessment is a key issue, in order to broad the applicability of iris biometrics to unconstrained imaging conditions. Previous research efforts sought to use visib...
Hugo Proença
ICPR
2010
IEEE
13 years 8 months ago
Quality-Based Fusion for Multichannel Iris Recognition
We propose a quality-based fusion scheme for improving the recognition accuracy using color iris images characterized by three spectral channels - Red, Green and Blue. In the prop...
Mayank Vatsa, Richa Singh, Arun Ross, Afzel Noore