Hebb Network, Adaline, Backpropagation Network, Fuzzy Logic, Pattern Recognition, Classifiers

The problem of optical character recognition is often solved, not only in the field of artificial intelligence itself, but also in everyday computer usage. We encountered this problem within the industrial project solved for real-life application. Best solver of such a task still remains human brain. Human beings are capable of character recognition even for damaged and highly incomplete images. In this paper, we present alternative softcomputing methods based on application of neural networks and fuzzy logic with evaluated syntax. We proposed a methodology of damaged letters recognition, which was experimentally verified. All experimental results were mutually compared in conclusion.