Study on preclassification for handwritten Chinese character based on neural net and fuzzy matching algorithm

To settle the recognition task of handwritten Chinese characters, the authors put forward a method for handwritten Chinese character preclassification before character recognition. In this method, Neocognitron was used in extracting stroke features, then uses the Supervised Extended ART (SEART) to c...

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Veröffentlicht in:	2007 IEEE International Conference on Robotics and Biomimetics S. 1344 - 1349
Hauptverfasser:	Da Lu, Qiwei Chen, Wei Pu, Mingpei Xie
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2007
Schlagworte:	artificial neural network Character recognition Feature extraction fuzzy matching algorithm Fuzzy neural networks Fuzzy sets Handwriting recognition handwritten Chinese character preclassification Neural networks Pattern recognition Probability Prototypes Subspace constraints supervised extended ART
ISBN:	1424417619, 9781424417612
Online-Zugang:	Volltext
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