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» A Statistical Learning Approach To Document Image Analysis
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ECCV
2004
Springer
15 years 5 months ago
A 2D Fourier Approach to Deformable Model Segmentation of 3D Medical Images
Anatomical shapes present a unique problem in terms of accurate representation and medical image segmentation. Three-dimensional (3D) statistical shape models have been extensivel...
Eric Berg, Mohamed Mahfouz, Christian Debrunner, W...
DAS
2008
Springer
15 years 1 months ago
A Complete Optical Character Recognition Methodology for Historical Documents
In this paper a complete OCR methodology for recognizing historical documents, either printed or handwritten without any knowledge of the font, is presented. This methodology cons...
Georgios Vamvakas, Basilios Gatos, Nikolaos Stamat...
ICDAR
2009
IEEE
14 years 9 months ago
Word Image Matching Based on Hausdorff Distances
Hausdorff distance (HD) and its modifications provides one of the best approaches for matching of binary images. This paper proposes a formalism generalizing almost all of these H...
Andrey Andreev, Nikolay Kirov
ICDAR
2009
IEEE
14 years 9 months ago
Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields
The paper describes a new approach using a Conditional Random Fields (CRFs) to extract physical and logical layouts in unconstrained handwritten letters such as those sent by indi...
Florent Montreuil, Emmanuele Grosicki, Laurent Heu...
IBPRIA
2003
Springer
15 years 5 months ago
Set-Permutation-Occurrence Matrix Based Texture Segmentation
Abstract. We have investigated a combination of statistical modelling and expectation maximisation for a texture based approach to the segmentation of mammographic images. Texture ...
Reyer Zwiggelaar, Lilian Blot, David Raba, Erika R...