Title :
Omnifont recognition of text using topological recognition techniques
Author :
De Muelenaere, P. ; Dauw, M. ; Legat, J.-D.
Author_Institution :
Image Recognition Integrated Syst., Louvain-La-Neuve, Belgium
fDate :
30 Aug-3 Sep 1992
Abstract :
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
Keywords :
document image processing; image recognition; optical character recognition; OCR; computer resources; document recognition; omnifont text recognition; topological recognition techniques; Application software; Character recognition; Computer industry; Costs; Feature extraction; Image recognition; Integrated optics; Microcomputers; Optical character recognition software; Text recognition;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201804
