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

fYear

1992

fDate

30 Aug-3 Sep 1992

Firstpage

410

Lastpage

413

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICPR.1992.201804

Filename

201804