Zone Classification Using Texture Features (1996)
| Citations: | 13 - 6 self |
BibTeX
@MISC{Chetverikov96zoneclassification,
author = {Dmitry Chetverikov and Jisheng Liang and Jozsef Komuves and Robert M. Haralick},
title = {Zone Classification Using Texture Features},
year = {1996}
}
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Abstract
We consider the problem of zone classification in document image processing. Document blocks are labelled as text or non-text using texture features derived from a feature based interaction map (FBIM), a recently introduced general tool for texture analysis [3, 4]. 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. 1 1. Introduction Document image understanding involves determining the geometric page layout, labeling blocks as text or nontext, determining the read order for text blocks, recognizing the text of text blocks through an OCR system, determining the logical page layout, and formatting the data and information of the document in a suitable way for use by a word processing system or by an information retrieval system [5]. The zone classification ...
