Intelligent Thresholding for Degraded Text-Photo Document Images

uTaipei > College of Science > Department of Computer Science > Proceedings > Item 987654321/15860

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Title:	Intelligent Thresholding for Degraded Text-Photo Document Images
Authors:	Tsai, C. M.;蔡俊明
Contributors:	臺北市立教育大學資訊科學系
Date:	2011
Issue Date:	2017-07-25 09:57:45 (UTC+8)
Abstract:	The conversion of the content from paper books into digital form is captured by digital cameras or scanners. However, after the conversion, the illumination of the captured document images is often unevenly distributed. Conventional thresholding methods cannot threshold these kind documents, usually full text images, properly. If the degraded document image includes both text and photo, these methods produce unsatisfactory binarizaion results. This paper presents an efficient and effective intelligent thresholding method for degraded text-photo document images, including: gray-level region cutting is proposed to segment the gray-level document image into several regions intelligently; each region is thresholded by using region thresholding; the gray-level document image is converted into a binary image. Experimental results show that the performance of the proposed method is better than other available thresholding methods in visual measurement.
Appears in Collections:	[Department of Computer Science] Proceedings

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