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» Improving Iris Recognition Accuracy via Cascaded Classifiers
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ICBA
2004
Springer
144views Biometrics» more  ICBA 2004»
13 years 10 months ago
Improving Iris Recognition Accuracy via Cascaded Classifiers
As a reliable approach to human identification, iris recognition has received increasing attention in recent years. In the literature of iris recognition, local feature of image de...
Zhenan Sun, Yunhong Wang, Tieniu Tan, Jiali Cui
CVPR
2008
IEEE
14 years 6 months ago
Boosting ordinal features for accurate and fast iris recognition
In this paper, we present a novel iris recognition method based on learned ordinal features.Firstly, taking full advantages of the properties of iris textures, a new iris represen...
Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu,...
IJCNN
2007
IEEE
13 years 11 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...
DAS
2006
Springer
13 years 8 months ago
Combining Multiple Classifiers for Faster Optical Character Recognition
Traditional approaches to combining classifiers attempt to improve classification accuracy at the cost of increased processing. They may be viewed as providing an accuracy-speed tr...
Kumar Chellapilla, Michael Shilman, Patrice Simard
ICMCS
2008
IEEE
174views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Cascaded classification with optimal candidate selection for effective place recognition
A two-stage cascaded classification approach with an optimal candidate selection scheme is proposed to recognize places using images taken by camera phones. An optimal acceptance ...
Yiqun Li, Joo-Hwee Lim, Hanlin Goh