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» A Novel Binarization System for Degraded Document Images
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ICDAR
1999
IEEE
13 years 11 months ago
A Two-state Markov Chain Model of Degraded Document Images
We propose a two-state Markov chain model of degraded document images. The model generates random and burst noise to simulate isolated pixel reversal as well as blurring of a larg...
Shamik Sural, P. K. Das
ICDAR
2003
IEEE
14 years 21 days ago
A Case Restoration Approach to Named Entity Tagging in Degraded Documents
This paper describes a novel approach to named entity (NE) tagging on degraded documents. NE tagging is the process of identifying salient text strings in unstructured text, corre...
Rohini K. Srihari, Cheng Niu, Wei Li, Jihong Ding
ICDAR
2005
IEEE
14 years 1 months 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...
ICDAR
2003
IEEE
14 years 21 days 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
ICDAR
2007
IEEE
14 years 1 months ago
An Efficient Word Segmentation Technique for Historical and Degraded Machine-Printed Documents
Word segmentation is a crucial step for segmentation-free document analysis systems and is used for creating an index based on word matching. In this paper, we propose a novel met...
Michael Makridis, N. Nikolaou, Basilios Gatos