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Image recognition based on wavelet transform and artificial neural networks

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3 Author(s)
Jun-Hai Zhai ; Key Lab. of Machine Learning & Comput. Intell., Hebei Univ., Baoding ; Su-Fang Zhang ; Li-Juan Liu

This paper proposes an image recognition method, which consists of two steps: features extraction based on wavelet transform and image recognition using artificial neural networks. More specifically, wavelet transform is used to decompose the original image into different frequency sub-bands, then a set of features are extracted from the wavelet coefficients. The feature set as input fed into neural network for recognition. The experimental results confirmed effectiveness of the proposed approach.

Published in:

Machine Learning and Cybernetics, 2008 International Conference on  (Volume:2 )

Date of Conference:

12-15 July 2008

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