25 September 2003 Object recognition based on Gabor filter banks and feature decomposition modular neural networks
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Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003); doi: 10.1117/12.539929
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China
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.
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Nong Sang, Hongwei Tang, Zhiguo Cao, Tianxu Zhang, "Object recognition based on Gabor filter banks and feature decomposition modular neural networks", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539929; https://doi.org/10.1117/12.539929
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KEYWORDS
Neural networks

Image filtering

Feature extraction

Object recognition

Pattern recognition

Spatial filters

Digital filtering

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