文章基本信息

标题：OPTICAL CHARACTER RECOGNITION TECHNIQUE ALGORITHMS
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作者：N. VENKATA RAO ; DR. A.S.C.S.SASTRY ; A.S.N.CHAKRAVARTHY 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：83
期号：2
出版社：Journal of Theoretical and Applied
摘要：In this paper, we present a new neural network (NN) based method for optical character recognition (OCR) as well as handwritten character recognition (HCR). Experimental results show that our proposed method achieves increased accuracy in optical character recognition as well as handwritten character recognition. We present through an overview of existing handwritten character recognition techniques. All the algorithms describes more or less on their own. Handwritten character recognition is a very popular and computationally expensive task; we describe advanced approaches for handwritten character recognition. In the present work, we would like to compare the most important once out of the variety of advanced existing techniques, and we will systematize the techniques by their characteristic considerations. It leads to the behaviour of the algorithms reaches to the expected similarities.
关键词：OCR; HCR; Neural Network. Recognition Technique