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ICDAR
2009
IEEE
13 years 11 months ago
Feature Based Binarization of Document Images Degraded by Uneven Light Condition
This paper proposes a document image binarization method, which is especially robust to the images degraded by uneven light condition, such as the camera captured document images....
Jung Gap Kuk, Nam Ik Cho
ICIP
2008
IEEE
13 years 11 months ago
MAP-MRF approach for binarization of degraded document image
We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
Jung Gap Kuk, Nam Ik Cho, Kyoung Mu Lee
ICPR
2006
IEEE
13 years 10 months ago
Adaptive Binarization of Historical Document Images
In this paper, we present a binarization technique specifically designed for historical document images. Existing methods for this problem focus on either finding a good global th...
Ergina Kavallieratou, Efstathios Stamatatos
ICDAR
2009
IEEE
13 years 11 months ago
Recognition of Degraded Handwritten Characters Using Local Features
The main problems of Optical Character Recognition (OCR) systems are solved if printed latin text is considered. Since OCR systems are based upon binary images, their results are ...
Markus Diem, Robert Sablatnig
ICDAR
2009
IEEE
13 years 2 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