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» Degraded Image Analysis: An Invariant Approach
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ICDAR
2003
IEEE
13 years 10 months ago
Automatic Feature Selection with Applications to Script Identification of Degraded Documents
Current approaches to script identification rely on hand-selected features and often require processing a significant part of the document to achieve reliable identification. We p...
Vitaly Ablavsky, Mark R. Stevens
ACIVS
2008
Springer
13 years 11 months ago
Blur and Contrast Invariant Fast Stereo Matching
We propose a novel approach for estimating a depth-map from a pair of rectified stereo images degraded by blur and contrast change. At each location in image space, information is...
Matteo Pedone, Janne Heikkilä
ICDAR
2009
IEEE
13 years 3 months ago
Pre-Processing of Degraded Printed Documents by Non-local Means and Total Variation
We compare in this study two image restoration approaches for the pre-processing of printed documents: namely the Non-local Means filter and a total variation minimization approac...
Laurence Likforman-Sulem, Jérôme Darb...
ICDAR
2009
IEEE
14 years 1 days 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
14 years 1 days ago
Segmentation-free Word Spotting in Historical Printed Documents
In this paper, a new efficient word spotting methodology is presented that can be applied to historical printed documents without requiring any previous block or word segmentation...
Basilios Gatos, Ioannis Pratikakis