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» Learning Gabor Magnitude Features for Palmprint Recognition
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PR
2006
125views more  PR 2006»
13 years 6 months ago
Palmprint identification using feature-level fusion
In this paper, we propose a feature-level fusion approach for improving the efficiency of palmprint identification. Multiple elliptical Gabor filters with different orientations a...
Adams Wai-Kin Kong, David Zhang, Mohamed Kamel
PRL
2006
180views more  PRL 2006»
13 years 6 months ago
MutualBoost learning for selecting Gabor features for face recognition
This paper describes an improved boosting algorithm, the MutualBoost algorithm, and its application in developing a fast and robust Gabor feature based face recognition system. Th...
LinLin Shen, Li Bai
FGR
2006
IEEE
131views Biometrics» more  FGR 2006»
14 years 6 days ago
Haar Features for FACS AU Recognition
We examined the effectiveness of using Haar features and the Adaboost boosting algorithm for FACS action unit (AU) recognition. We evaluated both recognition accuracy and processi...
Jacob Whitehill, Christian W. Omlin
BMVC
1998
13 years 7 months ago
ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Local Line Detectors
We introduce an object recognition system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to b...
Norbert Krüger, Niklas Lüdtke
IWBRS
2005
Springer
168views Biometrics» more  IWBRS 2005»
13 years 11 months ago
Gabor Feature Selection for Face Recognition Using Improved AdaBoost Learning
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
LinLin Shen, Li Bai, Daniel Bardsley, Yangsheng Wa...