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Text recognition from images

机译:图片文字识别

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摘要

Text recognition in images is a research area which attempts to develop a computer system with the ability to automatically read the text from images. These days there is a huge demand in storing the information available in paper documents format in to a computer storage disk and then later reusing this information by searching process. One simple way to store information from these paper documents in to computer system is to first scan the documents and then store them as images. But to reuse this information it is very difficult to read the individual contents and searching the contents form these documents line-by-line and word-by-word. The challenges involved in this the font characteristics of the characters in paper documents and quality of images. Due to these challenges, computer is unable to recognize the characters while reading them. Thus there is a need of character recognition mechanisms to perform Document Image Analysis (DIA) which transforms documents in paper format to electronic format. In this paper we have discuss method for text recognition from images. The objective of this paper is to recognition of text from image for better understanding of the reader by using particular sequence of different processing module.
机译:图像中的文本识别是一个研究领域,它试图开发一种能够自动从图像中读取文本的计算机系统。如今,将纸质文档格式的可用信息存储到计算机存储磁盘中,然后通过搜索过程重新使用此信息有巨大的需求。将这些纸质文档中的信息存储到计算机系统中的一种简单方法是先扫描文档,然后将其存储为图像。但是要重用此信息,很难逐行逐字逐字地读取单个内容并从这些文档中搜索内容。与此相关的挑战是纸质文档中字符的字体特征和图像质量。由于这些挑战,计算机在读取字符时无法识别它们。因此,需要字符识别机制来执行文档图像分析(DIA),该文档图像分析将纸张格式的文档转换为电子格式。在本文中,我们讨论了从图像识别文本的方法。本文的目的是通过使用不同处理模块的特定顺序,从图像中识别文本,以更好地理解读者。

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