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ICPR
2000
IEEE
14 years 5 months ago
Improved Degraded Document Recognition with Hybrid Modeling Techniques and Character N-Grams
In this paper a robust multifont character recognition system for degraded documents such as photocopy or fax is described. The system is based on Hidden Markov Models (HMMs) usin...
Anja Brakensiek, Daniel Willett, Gerhard Rigoll
ICDAR
2009
IEEE
13 years 2 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
2005
IEEE
13 years 10 months ago
Text Degradations and OCR Training
Printing and scanning of text documents introduces degradations to the characters which can be modeled. Interestingly, certain combinations of the parameters that govern the degra...
Elisa H. Barney Smith, Tim L. Andersen
CIKM
2001
Springer
13 years 9 months ago
Improved String Matching Under Noisy Channel Conditions
Many document-based applications, including popular Web browsers, email viewers, and word processors, have a ‘Find on this Page’ feature that allows a user to find every occur...
Kevyn Collins-Thompson, Charles Schweizer, Susan T...
ICDAR
2003
IEEE
13 years 9 months ago
Shock Filters for Character Image Enhancement and Peeling
In this paper, we propose a generalized shock model for the enhancement and restoration of degraded gray-level character images. This model is a quasi-linear hyperbolic partial di...
Mohamed Cheriet