Face recognition method based on independent component analysis and BP neural network

A new ear recognition approach, including a feature extraction method and the recognition framework, is presented in this paper. The proposed feature extraction method, called the Local Similarity Binary Pattern (LSBP), considers both the connectivity and similarity information in representation. In ear recognition, LSBP is combined with the Local Binary Pattern (LBP) to represent the ear image. The concatenated histogram sequences encode more relationships among neighborhoods that are shown to be discriminative. To enhance efficient representation, Cellular Neural Network is adopted to preprocess images, the function of which is to eliminate irrelevant information. From the experimental results conducted on the USTB ear database, the proposed approach outperforms some other well-known methods in terms of the recognition rate.

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Research of online automatism identification algorithm based on image character sequence look-up table

Yue-ping

Han

2008

Image Processing: Machine Vision Applications

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Face recognition method based on independent component analysis and BP neural network

Cited by 3 publications

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Discrimination of Varieties of Red Wines Based on Independent Component Analysis and BP Neural Network

Discrimination of Varieties of Red Wines Based on Independent Component Analysis and BP Neural Network

Ear recognition using a new local matching approach

Research of online automatism identification algorithm based on image character sequence look-up table

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