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- W2353160906 abstract "This paper puts forward a new method of ear recognition.In this method,independent component analysis(ICA) which considers the high-order statistics and obtains the inner character of images,is applied to extract ear feature,and then adopts the nearest distance classification based on Euclidean distance to recognize the ear image.Compared with principal component analysis(PCA),the ICA has a better identify ability.The result of experiments shows that the ICA algorithm is more efficient and has better robust to illumination and pose variation." @default.
- W2353160906 created "2016-06-24" @default.
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- W2353160906 date "2006-01-01" @default.
- W2353160906 modified "2023-09-22" @default.
- W2353160906 title "Ear Recognition Method Based on Independent Component Analysis" @default.
- W2353160906 hasPublicationYear "2006" @default.
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