Lecturer

OCR is a technology which is unique in itself and is used for the various applications involving scanning and recognition. Although recognition of the slant and cursivity of a handwritten text is the major field of research but the recognition rate of the hand written text is extremely lower than the hand printed text. This is because for the recognition of hand written text use of the contextual information and grammar associated with the grammar is required i.e. whether the word identified is a verb, a noun or an adjective. Thus with the recognition of the characters we need to recognize a word completely and along with that find the respective properties of the word according to semantics of the sentence. This helps to develop an intelligent system for the recognition of the handwriting of a person. In this paper, an intelligent system for “OPTICAL CHARACTER RECOGINITION” using Artificial Neural Network based approach and a Feature Extraction algorithm before an ANN can be applied for classification of characters for the character recognition is proposed