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» Watershed Based Document Image Analysis
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ICDAR
2009
IEEE
15 years 7 months ago
Document Binarization Based on Connected Operators
An original binarization method based on connected operators is proposed in this paper. Connected operators enable to filter and/or segment an image by preserving its contours. T...
Benoît Naegel, Laurent Wendling
ICDAR
2003
IEEE
15 years 5 months ago
Proper Names Extraction from Fax Images Combining Textual and Image Features
In the frame of a Unified Messaging System, a crucial task of the system is to provide the user with key information on every message received, like keywords reflecting the object...
Laurence Likforman-Sulem, Pascal Vaillant, Fran&cc...
ICDAR
2009
IEEE
15 years 7 months ago
Automatic Corresponding Control Points Selection for Historical Document Image Registration
Image registration is crucial for various image analysis tasks. In particular, most approaches to correction of bleed-through distortion on handwritten document images require the...
Jie Wang, Michael S. Brown, Chew Lim Tan
ICDAR
2011
IEEE
14 years 6 days ago
BLSTM Neural Network Based Word Retrieval for Hindi Documents
—Retrieval from Hindi document image collections is a challenging task. This is partly due to the complexity of the script, which has more than 800 unique ligatures. In addition,...
Raman Jain, Volkmar Frinken, C. V. Jawahar, Raghav...
DAS
1998
Springer
15 years 4 months ago
Group 4 Compressed Document Matching
Numerous approaches, including textual, structural and featural, to detecting duplicate documents have been investigated. Considering document images are usually stored and transm...
Dar-Shyang Lee, Jonathan J. Hull