期刊
INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS
卷 6, 期 4, 页码 511-532出版社
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0219467806002410
关键词
Fuzzy neural networks; evolving computation; handwritten digit recognition; image processing; connectionist systems
There have been many applications in the area of handwritten character recognition. Over the last decade much research has gone into developing algorithms to accurately convert captured images of handwriting to text. At the same time, research into neuro fuzzy classification models has proven to solve many complex problems. In this paper, Adaptive Neuro Fuzzy Inference System (ANFIS) and Evolving Fuzzy Neural Network (EFuNN) was investigated and studied in detail on how these two models can be used to perform handwritten digits classification. Results of the experiments show great potential of the EFuNN over the ANFIS for practical implementation of the handwritten digit recognition.
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