Novel Approach for Image Text Recognition and Translation

Srinandan Komanduri, Y. Roopa, M. Madhu Bala
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引用次数: 3

Abstract

One of the most concerned problems of today is to exactly translate the text present in an image to a human readable text. This has been gaining attention these days because of the immense work done by the Computer Vision Community. The main important concept behind this technology is something called as OCR – Optical Character Recognition. With the help of the OCR, we can search and recognize the text in electronic documents and can easily convert them into human readable text. It converts electronic documents’ text into related ASCII character and if the document is a handwritten one, then the OCR uses database to recognize what character it is and try to solve it to its highest accuracy.
图像文本识别与翻译的新方法
当今最受关注的问题之一是将图像中的文本准确地翻译成人类可读的文本。由于计算机视觉社区所做的大量工作,这已经引起了人们的关注。这项技术背后最重要的概念是OCR——光学字符识别。在OCR的帮助下,我们可以搜索和识别电子文档中的文本,并可以很容易地将它们转换为人类可读的文本。它将电子文档的文本转换为相关的ASCII字符,如果文档是手写的,那么OCR使用数据库识别它是什么字符并尝试以最高的精度解决它。
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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