DocumentCode
2022045
Title
A Novel Binarization System for Degraded Document Images
Author
Xi, Yan ; Chen, Youbin ; Liao, Qingmin ; Winghong, Leung ; Shunming, Fung ; Jiangwen, Deng
Author_Institution
Tsinghua Univ., Senzhen
Volume
1
fYear
2007
fDate
23-26 Sept. 2007
Firstpage
287
Lastpage
291
Abstract
A novel binarization system for degraded document images is proposed in this paper. It combines two local adaptive binarization methods (Niblack method (1986) and improved Palumbo method(1986)) which are complementary to each other. Niblack thresholding algorithm behaves very well in character areas but causes a lot of noise in background areas while the improved Palumbo thresholding algorithm causes little background noise but sometimes it over-thresholds the characters. The proposed system which combines both Niblack thresholding and Palumbo thresholding takes advantages of these two methods. Experiments show that it performs very well with little background noise and can be used to binarize degraded document images in many application circumstances.
Keywords
document image processing; image segmentation; Niblack thresholding algorithm; Palumbo thresholding algorithm; adaptive binarization methods; degraded document images; Application specific integrated circuits; Assembly systems; Automation; Background noise; Character recognition; Degradation; Eyes; Gray-scale; Humans; Image recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
Conference_Location
Parana
ISSN
1520-5363
Print_ISBN
978-0-7695-2822-9
Type
conf
DOI
10.1109/ICDAR.2007.4378720
Filename
4378720
Link To Document