Conference,

Off-line English Character Recognition: A Comparative Survey

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(2013)

Abstract

It has been decades since the evolution of idea that human brain can be mimicked by artificial neuron like mathematical structures. Till date, the development of this endeavor has not reached the threshold of excellence. Neural networks are commonly used to solve sample-recognition problems. One of these is character recognition. The solution of this problem is one of the easier implementations of neural networks. This paper presents a detailed comparative literature survey on the research accomplished for the last few decades. The comparative literature review will help us understand the platform on which we stand today to achieve the highest efficiency in terms of Character Recognition accuracy as well as computational resource and cost.

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