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A hybrid method for recognizing handwritten numbers

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3 Author(s)
Ye Meng ; Inst. of Neural Networks & Inf. Tech., Southwest Jiaotong Univ., Sichuan, China ; Fan Junbo ; Jin Fan

A hybrid method for recognizing handwritten numbers is proposed. This method exploits the power of neural networks, tree classifiers, fuzzy feature extraction and topologic feature extraction. Simulation results demonstrate that this method is efficient

Published in:

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on  (Volume:7 )

Date of Conference:

27 Jun-2 Jul 1994