DocumentCode
2439044
Title
Zone classification using texture features
Author
Chetverikov, Dmitry ; Liang, Jisheng ; Kömüves, Jozsef ; Haralick, Robert M.
Author_Institution
Computer & Autom. Res. Inst., Budapest, Hungary
Volume
3
fYear
1996
fDate
25-29 Aug 1996
Firstpage
676
Abstract
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
Keywords
document image processing; feature extraction; image classification; image segmentation; image texture; FBIM; UW-I; document blocks; document image database; document image processing; feature based interaction map; texture features; zone classification; Document image processing; Feature extraction; Graphics; Image databases; Image recognition; Image texture analysis; Labeling; Particle separators; Testing; Text recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.547031
Filename
547031
Link To Document