A fuzzy neural network for Vietnamese character recognition

In this research, on the background of a combination between Neural Network and Fuzzy Logic theories applying to the field of recognition, we have developed our four-layer feedforward Fuzzy Neural Network (FNN) as a solution to solve Vietnamese character recognition problems. Our first-step experime...

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Bibliographic Details
Main Authors: Bac Hoai Le, Thai Hoang Le, Kiem Hoang
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Character recognition
Feedforward neural networks
Fuzzy logic
Fuzzy neural networks
Fuzzy systems
Neural networks
Neurons
Pattern recognition
Smoothing methods
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Summary:In this research, on the background of a combination between Neural Network and Fuzzy Logic theories applying to the field of recognition, we have developed our four-layer feedforward Fuzzy Neural Network (FNN) as a solution to solve Vietnamese character recognition problems. Our first-step experiments of FNN were applied for 28 Vietnamese accent characters in VNI-Times font. Our obtained testing results prove the availability of FNN as a good solution even to bad-quality patterns with high distortion rate.
DOI:10.1109/ICIP.1999.821697