Neural Network OCR

Neural Network OCR is one of the most common and popular approaches to optical character recognition problem, which can be applied to different tasks, such as pattern recognition, time series prediction, function approximation, clustering, etc.

The most popular and simple approach to OCR problem is based on feed forward neural network with backpropagation learning. The main idea is that we should first prepare a training set and then train a neural network to recognize patterns from the training set. In the training step we teach the network to respond with desired output for a specified input. For this purpose each training sample is represented by two components: possible input and the desired network's output for the input. After the training step is done, we can give an arbitrary input to the network and the network will form an output, from which we can resolve a pattern type presented to the network.