OCR-ANN Back-Propagation Based Classifier?

Optical Character Recognition by using Neural Network is a prototype system that is useful to recognize the character. pre-processing for document is the preliminary step for the recognition to be accurate, which transforms the data into a format that will be processed easily and effectively. The main task of pre-processing is to decrease the variation that causes a reduction in the recognition rate and increases the complexities. In this paper, many pre-processing techniques has been used to improved OCR accuracy by pre-processing the original image and its character spiritedly, which includes noise filtering, smoothing, thresholding, and skewing. The experimental results show that the improvement of recognition side has achieved a good result for many types of noisy and non-uniform characters document. The efficiency and recognition testes for training method has been performed and reported in this paper. This paper shows how the use of artificial neural network for an optical character recognition application, while achieving highest quality of recognition and good performance by applying multiple image processing technique.