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ICIP
2004
IEEE
14 years 6 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
ICDAR
2003
IEEE
13 years 9 months 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
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
IJDAR
2008
136views more  IJDAR 2008»
13 years 4 months ago
Matching word images for content-based retrieval from printed document images
As large quantity of document images is getting archived by the digital libraries, there is a need for an efficient search strategies to make them available as per users informatio...
Million Meshesha, C. V. Jawahar
ICDAR
2009
IEEE
13 years 2 months ago
Restoration and Segmentation of Highly Degraded Characters Using a Shape-Independent Level Set Approach and Multi-level Classifi
Segmentation of ancient documents is challenging. In the worst cases, text characters become fragmented as the results of strong degradation processes. New active contour methods ...
Reza Farrahi Moghaddam, David Rivest-Hénaul...