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Proceedings Paper

Object recognition based on Gabor filter banks and feature decomposition modular neural networks
Author(s): Nong Sang; Hongwei Tang; Zhiguo Cao; Tianxu Zhang
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Paper Abstract

A new method for designing Gabor filter banks with various frequencies and orientations is proposed to perform feature extraction. A feature decomposition modular neural network classifier based on the feature extraction by the Gabor filter banks is presented for object recognition problems and the influence of band limited noise.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539929
Show Author Affiliations
Nong Sang, Huazhong Univ. of Science and Technology (China)
Hongwei Tang, Huazhong Univ. of Science and Technology (China)
Zhiguo Cao, Huazhong Univ. of Science and Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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