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ICDAR
2009
IEEE
14 years 1 months ago
Classifying Foreground Pixels in Document Images
We present a system that classifies pixels in a document image according to marking type such as machine print, handwriting, and noise. A segmenter module first splits an input ...
Prateek Sarkar, Eric Saund, Jing Lin
ICDAR
2003
IEEE
13 years 12 months ago
Automatic Feature Selection with Applications to Script Identification of Degraded Documents
Current approaches to script identification rely on hand-selected features and often require processing a significant part of the document to achieve reliable identification. We p...
Vitaly Ablavsky, Mark R. Stevens
ECCV
2008
Springer
14 years 8 months ago
Learning Visual Shape Lexicon for Document Image Content Recognition
Developing effective content recognition methods for diverse imagery continues to challenge computer vision researchers. We present a new approach for document image content catego...
Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann
ICPR
2000
IEEE
14 years 7 months ago
Embedded Formulas Extraction
A new approach for separating mathematics from usual text is presented. Contrary to the existing methods, it is more oriented toward the segmentation than the recognition, isolati...
Abdel Belaïd, Afef Kacem, Mohamed Ben Ahmed
ICDAR
2011
IEEE
12 years 6 months ago
Greek Polytonic OCR Based on Efficient Character Class Number Reduction
—Recognition of document images having Greek polytonic (multi accent) characters is a challenging task due the large number of existing character classes (more than 270). In this...
Basilios Gatos, Georgios Louloudis, Nikolaos Stama...