Abstract: In this paper optical character recognition is used for implementation of an efficient translation and scale invariant optical character recognition with rotation is presented. which is based on transformation of the image triple-correlation domain and appropriate clustering which is one to one related to the class of all shifted-rotated-scaled versions of the input image and also robust to a variety of noises. Special attention is given to binary images and further used for Optical Character Recognition and simulation results show the performance of the proposed implementation.
Keywords: Optical character recognition, Image representation, clustering, Transformation.
Title: An Efficient Scheme for Invariant Optical Character Recognition Using Edge Detection
Author: Devanand Kale, Sameer Shaikh, Nitin Valake, Prof. Pankaj Agarkar
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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