A Survey: Artificial Neural Network for Character Recognition

Due to advancement in technology many recognition task have been automated. Optical Character Recognition (OCR) aims to convert the images of handwritten or printed text into a format that is capable for a machine to understand and process it. For the recognition to be precise various properties are calculated, on the basis of which characters are classified and recognized. Character recognition has been an attractive area for researchers using the Artificial Intelligence. Recognition is easy for humans, but what about machines? Advancement in Artificial Intelligence has led to the developments of various devices. The open issue is to recognize documents both in printed and written format. Character recognition is widely used for authentication of person as well as document. OCR is a technique where digital image that contains machine printed or handwritten input into software and translating it into a machine readable digital format. A Neural network can be designed the way in which the brain performs a particular task or function of interest. In this paper we present the survey of how efficient an Artificial Neural network can be utilized for character recognition process.