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ICDAR
2009
IEEE
15 years 2 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...
ICDAR
2009
IEEE
15 years 2 months ago
Image Classification to Improve Printing Quality of Mixed-Type Documents
Functional image classification is the assignment of different image types to separate classes to optimize their rendering for reading or other specific end task, and is an import...
Rafael Dueire Lins, Gabriel Pereira e Silva, Steve...
ICDAR
2011
IEEE
14 years 3 months ago
Character n-Gram Spotting in Document Images
—In this paper, we present a novel approach to search and retrieve from document image collections, without explicit recognition. Existing recognition-free approaches such as wor...
M. Sudha Praveen, K. Pramod Sankar, C. V. Jawahar
ICDAR
2009
IEEE
15 years 11 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
2007
IEEE
15 years 10 months ago
A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images
We describe an unsupervised learning algorithm for extracting sparse and locally shift-invariant features. We also devise a principled procedure for learning hierarchies of invari...
Marc'Aurelio Ranzato, Yann LeCun