Title :
Zone classification using texture features
Author :
Chetverikov, Dmitry ; Liang, Jisheng ; Kömüves, Jozsef ; Haralick, Robert M.
Author_Institution :
Computer & Autom. Res. Inst., Budapest, Hungary
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;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.547031
