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http://dx.doi.org/10.3745/KIPSTB.2002.9B.3.311

Document Image Layout Analysis Using Image Filters and Constrained Conditions  

Jang, Dae-Geun (Telecommunication Network Research Lab, Dept.of Electronics Electrical Computer,Graduate School of Kyungpook National University)
Hwang, Chan-Sik (Telecommunication Network Research Lab, Dept.of Electronics Electrical Computer, Kyungpook National University)
Publication Information
The KIPS Transactions:PartB / v.9B, no.3, 2002 , pp. 311-318 More about this Journal
Abstract
Document image layout analysis contains the process to segment document image into detailed regions and the process to classify the segmented regions into text, picture, table or etc. In the region classification process, the size of a region, the density of black pixels, and the complexity of pixel distribution are the bases of region classification. But in case of picture, the ranges of these bases are so wide that it's difficult to decide the classification threshold between picture and others. As a result, the picture has a higher region classification error than others. In this paper, we propose document image layout analysis method which has a better performance for the picture and text region classification than that of previous methods including commercial softwares. In the picture and text region classification, median filter is used in order to reduce the influence of the size of a region, the density of black pixels, and the complexity of pixel distribution. Futhermore the classification error is corrected by the use of region expanding filter and constrained conditions.
Keywords
document image; region analysis; page segmentation; region classification;
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