Text Extraction From Image Using MATLAB

G. Chakraborty, Saradindu Panda, Sangita Roy
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引用次数: 0

Abstract

The goal of this paper is for extricating the text present in image and identify the text written using MATLAB programming language. Text Extrication from image and recognition as a whole have enormous relevance from the point of view of application, like content-based image restoration, document indexing and identification. Moreover, this triggers vast advanced systems. This work is focusing on detecting text in an image. To find a special sign in a natural image is sometimes frustrating. By using this method, it is easy to identify this type of object in an image like traffic sign, using Optical Character Recognition (OCR). Automatic task detection algorithms help to identify such situations in an image and highly efficient. It also uses Canny Edge Detection to discover the boundaries of the text present in the image from the Maximally Stable Extremal Regions (MSER).
基于MATLAB的图像文本提取
本文的目的是利用MATLAB编程语言对图像中存在的文本进行提取和识别。从应用的角度来看,文本图像提取和识别作为一个整体具有巨大的相关性,如基于内容的图像恢复、文档索引和识别。此外,这会触发大量先进系统。这项工作的重点是检测图像中的文本。在自然图像中找到一个特殊的符号有时是令人沮丧的。利用该方法,利用光学字符识别(OCR)技术,可以很容易地在交通标志等图像中识别出这类物体。自动任务检测算法有助于识别图像中的这种情况,并且效率很高。它还使用Canny边缘检测从最大稳定极值区域(MSER)中发现图像中存在的文本边界。
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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