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» A Statistical Learning Approach To Document Image Analysis
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ICPR
2010
IEEE
13 years 7 months ago
A Self-Training Learning Document Binarization Framework
—Document Image Binarization techniques have been studied for many years, and many practical binarization techniques have been developed and applied successfully on commercial do...
Bolan Su, Shijian Lu, Chew Lim Tan
ICDAR
1995
IEEE
13 years 11 months ago
A knowledge-based approach to the layout analysis
In this paper, we present a hybrid approach to the problem of the document analysis in which the document image is segmented by means of a top-down technique and then basic blocks...
Floriana Esposito, Donato Malerba, Giovanni Semera...
SAC
2009
ACM
14 years 2 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
ICIP
2002
IEEE
14 years 9 months ago
Detecting hidden messages using higher-order statistical models
Techniques for informationhidinghave become increasingly more sophisticated and widespread. With high-resolution digital images as carriers, detecting hidden messages has become c...
Hany Farid
ICDAR
2003
IEEE
14 years 19 days ago
Improved Nearest Neighbor Based Approach to Accurate Document Skew Estimation
The nearest-neighbor based document skew detection methods do not require the presence of a predominant text area, and are not subject to skew angle limitation. However, the accur...
Yue Lu, Chew Lim Tan