Sciweavers

68 search results - page 7 / 14
» MAP-MRF approach for binarization of degraded document image
Sort
View
CVPR
2009
IEEE
15 years 1 months ago
Contextual Restoration of Severely Degraded Document Images
We propose an approach to restore severely degraded document images using a probabilistic context model. Un- like traditional approaches that use previously learned prior models...
Jyotirmoy Banerjee, Anoop M. Namboodiri, C. V. Jaw...
ICIP
2004
IEEE
14 years 8 months ago
Joint blind separation and restoration of mixed degraded images for document analysis
We consider the problem of extracting clean images from noisy mixtures of images degraded by blur operators. This special case of source separation arises, for instance, when anal...
Anna Tonazzini, Ivan Gerace, Francesco Cricco
PAA
2006
13 years 6 months ago
Automatic name extraction from degraded document images
The problem addressed in this paper is the automatic extraction of names from a document image. Our approach relies on the combination of two complementary analyses. First, the ima...
Laurence Likforman-Sulem, Pascal Vaillant, Aliette...
CVPR
2009
IEEE
13 years 10 months ago
Robust unsupervised segmentation of degraded document images with topic models
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
Timothy J. Burns, Jason J. Corso
ICDAR
2005
IEEE
14 years 9 days ago
A Segmentation-free Approach for Keyword Search in Historical Typewritten Documents
In this paper, we propose a novel segmentation-free approach for keyword search in historical typewritten documents combining image preprocessing, synthetic data creation, word sp...
Basilios Gatos, Thomas Konidaris, Kostas Ntzios, I...