A fuzzy neural network for Vietnamese character recognition
Bac Hoai Le, Thái Hoàng Lê, Kiếm Văn Hoàng · 2003
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.