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» Extraction of complex wavelet features for iris recognition
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WACV
2008
IEEE
14 years 24 days 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
ICPR
2008
IEEE
14 years 7 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
ICIP
2000
IEEE
14 years 8 months ago
Rotationally Invariant Texture Features Using the Dual-Tree Complex Wavelet Transform
New rotationally invariant texture feature extraction methods are introduced that utilise the dual tree complex wavelet transform (DT-CWT). The complex wavelet transform is a new ...
Paul R. Hill, David R. Bull, Cedric Nishan Canagar...
ICPR
2008
IEEE
14 years 26 days ago
Face recognition using anisotropic dual-tree complex wavelet packets
In this paper, we propose a novel face recognition method based on anisotropic dual-tree complex wavelet packets(ADT-CWP). 2-D dual-tree complex wavelet transform(DT-CWT) provides...
YiGang Peng, Xudong Xie, Wenli Xu, Qionghai Dai
TIFS
2008
113views more  TIFS 2008»
13 years 6 months ago
A Selective Feature Information Approach for Iris Image-Quality Measure
Poor quality images can significantly affect the accuracy of iris-recognition systems because they do not have enough feature information. However, existing quality measures have f...
Craig Belcher, Yingzi Du