Handwritten character recognition using machine learning approach - A survey

S. Patel, Jasmine Jha
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引用次数: 12

Abstract

Handwritten character recognition is a very popular due to its wide range of application. Processing application forms, digitizing ancient articles, postal address processing, bank cheque processing and many others are the growing fields in area of handwritten character processing. Handwritten character is attracting researchers since last 3 decades. Many approaches have been proposed for effective recognition. In this paper, we have shown the detail survey on handwritten character recognition using neural network as a machine learning approache.
使用机器学习方法的手写字符识别-调查
手写体字符识别由于其广泛的应用范围而受到广泛的欢迎。处理申请表格、将古物数码化、处理邮政地址、处理银行支票等是手写文字处理领域中不断发展的领域。近三十年来,手写体一直吸引着研究者。为了有效识别,人们提出了许多方法。在本文中,我们展示了使用神经网络作为机器学习方法的手写体字符识别的详细调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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