Off-Line Multi-Font/Size Character Recognition : A Review

Character recognition has been one of the most interesting and challenging research areas in the recent years. Many researchers develop scripts based on the different approaches used for the design of character recognition system. This paper provides a survey and classification of various character recognition techniques and describes a technique for converting textual content from a paper document into machine readable form. More precisely Character recognition is process of detecting and recognizing characters from input image and converts it into ASCII or other equivalent machine editable form. There are various approaches used for the design of OCR system, but this paper provide a review of existing works in handwritten and typewritten recognition of characters from image irrespective of their position, size, and various font styles based on the different approaches such as a Template matching, Statistical approach, Structural approach and Neural Network.