文章基本信息

标题：A Binarization Technique for Extraction of Devanagari Text from Camera Based Images
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作者：Rajesh K. Bawa ; Ganesh K. Sethi
期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2014
卷号：5
期号：2
页码：29
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This paper presents a binarization method for camera based natural scene (NS) images based on edgeanalysis and morphological dilation. Image is converted to grey scale image and edge detection is carriedout using canny edge detection. The edge image is dilated using morphological dilation and analyzed toremove edges corresponding to non-text regions. The image is binarized using mean and standarddeviation of edge pixels. Post processing of resulting images is done to fill gaps and to smooth text strokes.The algorithm is tested on a variety of NS images captured using a digital camera under variableresolutions, lightening conditions having text of different fonts, styles and backgrounds. The results arecompared with other standard techniques. The method is fast and works well for camera based naturalscene images.
关键词：Text information extraction (TIE); Global Thresholding; Local Thresholding; Canny edge detection;Morphological dilation