DocumentCode
2254227
Title
Twice background determination algorithm for color document images
Author
Tsai, Chung-Ming
Author_Institution
Dept. of Comput. Sci., Taipei Municipal Univ. of Educ., Taipei, Taiwan
Volume
5
fYear
2010
fDate
11-14 July 2010
Firstpage
2692
Lastpage
2696
Abstract
Many color document images have been printed with different regions to highlight the content. Each region has different background color. Conventional document binarization methods cannot threshold these kind documents properly. Moreover, most of them are not efficient for processing color document with big image size. For example, the size of one page pdf file journal article is converted to 300 pixels per inch TIFF file format is 2481×3296. Conventional document binarization methods to threshold these big document images will take a lot of time. Thus, this paper proposes an efficient and effective two-stage background determination method for color document images to solve aforementioned problems. This novel method is very efficient because it only analysis the border pixels in the color document and the region images. Our experiments include various color document images. Experiment results show that the performance of the proposal method is better than other available thresholding methods in visual measurement.
Keywords
document image processing; image colour analysis; image segmentation; aforementioned problems; color document images; conventional document binarization methods; thresholding methods; two-stage background determination method; Cybernetics; Image color analysis; Image segmentation; Machine learning; Optical character recognition software; Pixel; Proposals; Background determination; Color document; H-V scanning; Two-stage background determination; document binarization;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580937
Filename
5580937
Link To Document