Ear Recognition Method Based on Independent Component Analysis
ZHANG HaiJun1, MU ZhiChun1, LIU Ke2
1.School of Information Engineering, University of Science and Technology Beijing, Beijing 100083 2.National Natural Science Foundation of China, Beijing 100085
Abstract Ear recognition is a new biometric technique. Independent component analysis is applied to the feature extraction of ear images. And the nearest neighbor classifier, RBF neural networks classifier and SVM are combined with the ICA respectively for the classification. The experiments show that the ear recognition based on ICA has better performance compared with traditional method of principal component analysis.
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2006, Vol. 19 
