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ICB
2007
Springer
159views Biometrics» more  ICB 2007»
13 years 8 months ago
Coarse Iris Classification by Learned Visual Dictionary
Abstract. In state-of-the-art iris recognition systems, the input iris image has to be compared with a large number of templates in database. When the scale of iris database increa...
Xianchao Qiu, Zhenan Sun, Tieniu Tan
AUTOID
2005
IEEE
13 years 10 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
ISVC
2007
Springer
13 years 11 months ago
Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments
Abstract. The iris is currently accepted as one of the most accurate traits for biometric purposes. However, for the sake of accuracy, iris recognition systems rely on good quality...
Hugo Proença, Luís A. Alexandre
ICB
2007
Springer
110views Biometrics» more  ICB 2007»
13 years 11 months ago
Comparison of Compression Algorithms' Impact on Iris Recognition Accuracy
The impact of using different lossy compression algorithms on the matching accuracy of iris recognition systems is investigated. In particular, we relate rate-distortion performan...
Stefan Matschitsch, Martin Tschinder, Andreas Uhl
ICPR
2008
IEEE
14 years 6 months ago
Indexing iris images
Given a query iris image, the goal of indexing is to identify and retrieve a small subset of candidate irides from the database in order to determine a possible match. This can si...
Arun Ross, Rajiv Mukherjee
ICPR
2008
IEEE
14 years 6 months ago
How to make iris recognition easier?
Iris recognition is regarded as the most reliable biometrics and has been widely applied in both public and personal security areas. However users have to highly cooperate with th...
Tieniu Tan, Wenbo Dong, Zhenan Sun