Text Recognition using Deep Learning: A Review

Shalini Agrahari, A. Tiwari
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引用次数: 1

Abstract

: An active field of study, in the domain of text recognition in images, is trying to develop a computer application with the capacity to read the content automatically from images. There is currently a massive demand for the storage of available data on paper records for later use in a machine-readable form. Due to font style, image quality issues, the computer is unable to recognize text. There have been different machine learning and deep learning techniques suggested for text recognition. Current research papers illustrate how different functions boost efficiency and performance in the pattern recognition file. This paper explores and presents the various techniques and to encourage researchers in the field. This paper evaluates and analyzes various techniques for recognizing text from various sources.
使用深度学习的文本识别:综述
在图像文本识别领域,一个活跃的研究领域是试图开发一种具有自动从图像中读取内容能力的计算机应用程序。目前有大量的需求将可用的数据存储在纸质记录中,以便以后以机器可读的形式使用。由于字体样式、图像质量问题,计算机无法识别文本。对于文本识别,已经提出了不同的机器学习和深度学习技术。目前的研究论文阐述了不同的函数如何提高模式识别文件的效率和性能。本文探讨并介绍了各种技术,以鼓励该领域的研究人员。本文对不同来源的文本识别技术进行了评价和分析。
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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