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ICDAR
2009
IEEE
15 years 4 months ago
Document Image Binarisation Using Markov Field Model
This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov Random Field (MRF) model of the document. ...
Thibault Lelore, Frédéric Bouchara
ACIVS
2005
Springer
15 years 12 months ago
Cleaning and Enhancing Historical Document Images
In this paper we present a recursive algorithm for the cleaning and the enhancing of historical documents. Most of the algorithms, used to clean and enhance documents or transform ...
Ergina Kavallieratou, Hera Antonopoulou
RIAO
2007
15 years 7 months ago
Using the Knowledge of Object Colors to Segment Images and Improve Web Image Search
With web image search engines, we face a situation where the results are very noisy, and when we ask for a specific object, we are not ensured that this object is contained in all...
Christophe Millet, Isabelle Bloch
ICDAR
2011
IEEE
14 years 6 months ago
Browsing Heterogeneous Document Collections by a Segmentation-Free Word Spotting Method
—In this paper, we present a segmentation-free word spotting method that is able to deal with heterogeneous document image collections. We propose a patch-based framework where p...
Marçal Rusiñol, David Aldavert, Rica...
WWW
2004
ACM
16 years 7 months ago
Web image learning for searching semantic concepts in image databases
Without textual descriptions or label information of images, searching semantic concepts in image databases is still a very challenging task. While automatic annotation techniques...
Chu-Hong Hoi, Michael R. Lyu