Zone classification using texture features

We consider the problem of zone classification in document image processing. Document blocks are labelled as text or nontext using texture features derived from a feature based interaction map (FBIM), a recently introduced general tool for texture analysis. The zone classification procedure proposed...

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Bibliographic Details
Published inProceedings of 13th International Conference on Pattern Recognition Vol. 3; pp. 676 - 680 vol.3
Main Authors Chetverikov, D., Jisheng Liang, Komuves, J., Haralick, R.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1996
Subjects
Document image processing
Feature extraction
Graphics
Image databases
Image recognition
Image texture analysis
Labeling
Particle separators
Testing
Text recognition
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ISBN9780818672828
081867282X
ISSN1051-4651
DOI10.1109/ICPR.1996.547031

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Summary:We consider the problem of zone classification in document image processing. Document blocks are labelled as text or nontext using texture features derived from a feature based interaction map (FBIM), a recently introduced general tool for texture analysis. The zone classification procedure proposed is tested on the comprehensive document image database UW-I created at the University of Washington in Seattle. Different classification procedures are considered. The performance ranges from 96% to 98% using 6 FBIM texture features only.
ISBN:9780818672828
081867282X
ISSN:1051-4651
DOI:10.1109/ICPR.1996.547031