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A STUDY ON OPTICAL CHARACTER RECOGNITION TECHNIQUES

, and . The International Journal of Computational Science, Information Technology and Control Engineering (IJCSITCE), 4 (1): 01-14 (January 2017)
DOI: 10.5121/ijcsitce.2017.4101

Abstract

Optical Character Recognition (OCR) is the process which enables a system to without human intervention identifies the script or alphabets written into the users’ verbal communication. Optical Character identification has grown to be individual of the mainly flourishing applications of knowledge in the field of pattern detection and artificial intelligence. In our survey we study on the various OCR techniques. In this paper we resolve and examine the hypothetical and numerical model of Optical haracter Identification. The Optical character identification or classification (OCR) and Magnetic Character Recognition (MCR) techniques are generally utilized for the recognition of patterns or alphabets. In general the alphabets are in the variety of pixel pictures and it could be either handwritten or stamped, of any series

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