13 October 1998 Different approach to designing neural networks for similar handwritten Chinese character recognition
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Abstract
The input images of Chinese characters are normally preprocessed using different image processing techniques before the main classification in the handwritten Chinese character recognition. The authors proposed a different approach to the system philosophy of solving the handwritten Chinese character recognition problem where no preprocessing is necessary. The Chinese characters are treated as ideographs. The proposed system consists of a Rough Classifier which trigger the different Fine Classifiers. Each classifier is an optimized artificial neural network using genetic algorithms. A reduced system has been implemented. The result shows that the proposed system has higher recognition rate than the similar systems reported and is more efficiency.
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Devil H.F. Yip, Devil H.F. Yip, William W.H. Yu, William W.H. Yu, "Different approach to designing neural networks for similar handwritten Chinese character recognition", Proc. SPIE 3455, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, (13 October 1998); doi: 10.1117/12.326723; https://doi.org/10.1117/12.326723
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