Michel Dauw
Université catholique de Louvain
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international conference on pattern recognition | 1992
P. De Muelenaere; Michel Dauw; Jean-Didier Legat
The problem of optical character recognition (OCR) has been studied since the early stages of the computer industry. However, the problem of omnifont text recognition (OTR) (recognition of any kind of document without having information on the typeface) is quite recent. Omnifont text recognition is usually CPU intensive and requires a large amount of memory. This paper discusses an original algorithm developed for specific applications where performing omnifont text recognition is needed but where only limited computer resources are available in term of memory and CPU power.<<ETX>>
Archive | 2012
Pierre De Muelenaere; Michel Dauw; Olivier Dupont; Patrick Verleysen
Archive | 2014
Frederic Collet; Jordi Hautot; Michel Dauw; Pierre De Muelenaere; Olivier Dupont; Gunter Hensges
Archive | 2008
Michel Dauw; Patrick Verleysen; Xavier Gallez; Pierre De Muelenaere
Archive | 2012
Pierre De Muelenaere; Michel Dauw; Olivier Dupont; Patrick Verleysen
Archive | 2013
Jianglin Ma; Michel Dauw; Pierre De Muelenaere; Olivier Dupont
Archive | 2012
Pierre De Muelenaere; Olivier Dupont; Patrick Verleysen; Michel Dauw
Archive | 2011
Pierre De Muelenaere; Michel Dauw; Olivier Dupont; Patrick Verleysen
Archive | 2016
Frederic Collet; Jordi Hautot; Michel Dauw
Archive | 2015
Frederic Collet; Jordi Hautot; Michel Dauw; Pierre De Muelenaere; Olivier Dupont; Gunter Hensges
