International Journal of Multidisciplinary Research and Development

E- ISSN: 2349-4182
P- ISSN: 2349-5979

Vol. 3, Issue 2 (2016)

An advanced Lab view based OCR system for hand written scripts

Author(s): Aruna Panda, Prof. Mishra SN, Prof. Das
Abstract: Optical character recognition usually abbreviated to OCR, involves a computer system designed to translate images of typewritten text (usually captured by a scanner) into machine editable text or to translate pictures of characters into a standard encoding scheme representing them. OCR began as a field of research in artificial intelligence and computational vision. Character recognition is very interesting area of pattern recognition and it deals with offline handwriting recognition. Handwriting Recognition has continued to Persist as a suggests that of communication, collection, recording and sending data in regular life since the centuries even with the arrival of the new technologies. Machine recognition has several sensible applications, reading written communication envelopes, amount written in bank checks, bill processing, government records, industrial forms, signature verification, offline document recognition etc. In this paper we have implemented OCR for the Odia character recognition using the appearance based recognition technique. Formally, the problem can be stated as follows: given a training dataset x, and an object o, find object xj, within the dataset, most similar too. Our technique is an appearance based recognition giving satisfactory results
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