文章基本信息

标题：A Survey of Digital Image Processing Techniques in Character Recognition
本地全文：下载
作者：Mahmud S. Alkoffash ; Mohammed J. Bawaneh ; Hasan Muaidi 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2014
卷号：14
期号：3
页码：65-71
出版社：International Journal of Computer Science and Network Security
摘要：The digital image processing (DIP) has been employed in a number of areas, particularly for feature extraction and to obtain patterns of digital images. Recognition of characters is a novel problem, and although, currently there are widely-available digital image processing algorithms and implementations that are able to detect characters from images, selection of an appropriate technique that can straightforwardly acclimatize to diverse types of images, that are very specific or complex is very important. This paper presents a brief overview of digital image processing techniques such as image restoration, image enhancements, and feature extraction, a framework for processing images and aims at presenting an adaptable digital image processing method for recognition of characters in digital images
关键词：image processing; digital image processing; thresholding; morphological thinning; hough transform; character recognition;Digital Image Processing