Self organizing fuzzy neural network: an application to character recognition
Rasmi Rekha Mishra · 2002
Character recognition is a very important field in DSP. Many different methods are used for this purpose. The ANN technique based on back propagation algorithm is very slow as its computational complexity is very high. On the other hand the Self-orthogonal ANN offers less computational complexity but it is not able to deal with the uncertainty associated with the input data sequence. Hence, fuzzy logic is applied in this case. The fuzzy logic based self-orthogonal neural network has been applied to the scale changed and distorted characters only. The problem of invariance to rotation has been discussed using the four layered feed forward fuzzy neural network.