A Comprehensive Study of Optical Character Recognition

Ravi Raj, A. Kos
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Abstract

In recent decades recognition of characters has become a most important research topic for computer vision researchers or scientists. One of the major techniques for character recognition is optical character recognition (OCR) which plays a vital role in recent years in the development of various methodologies for the recognition of characters of several languages alphabets. Currently, OCR technology is utilized by most of the applications of scanning documents and makes them readable for the users such as google translate, which has been developed for translating the language from one language to the other language. But the rate of accuracy and timing to perform the specified task is still a problem. This paper presents a brief description of the OCR technology, the timeline of its development, some major applications of this technology, and its future perspective in our daily life. Moreover, this article provides an overview of this fascinating research topic for the early-stage researchers of computer vision.
光学字符识别的综合研究
近几十年来,字符识别已成为计算机视觉研究人员或科学家最重要的研究课题。光学字符识别(OCR)是字符识别的主要技术之一,近年来在多种语言字符识别方法的发展中起着至关重要的作用。目前,大多数扫描文档的应用程序都使用OCR技术,并使其易于用户阅读,例如google translate,它是为了将一种语言翻译成另一种语言而开发的。但是,执行指定任务的准确率和时间仍然是一个问题。本文简要介绍了OCR技术的概况、OCR技术的发展历程、OCR技术的主要应用以及OCR技术在我们日常生活中的应用前景。此外,本文还为计算机视觉的早期研究人员提供了这一令人着迷的研究课题的概述。
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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