Hierarchical multilayer perceptron neural network for the recognition of the automobile license plate number

Joongho Chang; Norman C. Griswold

doi:10.1117/12.234249

4 March 1996 Hierarchical multilayer perceptron neural network for the recognition of the automobile license plate number

Joongho Chang, Norman C. Griswold

Author Affiliations +

Proceedings Volume 2664, Applications of Artificial Neural Networks in Image Processing; (1996) https://doi.org/10.1117/12.234249
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

This paper proposes a new hierarchical multilayer perceptron (HMLP) network as an improved classifier for alpha-numeric character recognition from the automobile license plates. HMLP is built up by hierarchically stacking the small MLP subnetworks that work as local classifiers in the feature space. Each subnetwork is trained not to cause overtraining. The generalization and overtraining problem of neural networks was reduced by this method. The classification performance of HMLP was compared with the conventional single stage MLP, and HMLP showed better performance especially for the large sized classification problem.

Citation Download Citation

Joongho Chang and Norman C. Griswold "Hierarchical multilayer perceptron neural network for the recognition of the automobile license plate number", Proc. SPIE 2664, Applications of Artificial Neural Networks in Image Processing, (4 March 1996); https://doi.org/10.1117/12.234249

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