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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dae-Seok Ryu Sun-Mee Kang Seong-Whan Lee |
| Copyright Year | 2000 |
| Description | Author affiliation: Center for Artificial Vision Res., Korea Univ., Seoul, South Korea (Dae-Seok Ryu) |
| Abstract | We propose a new method independent of parameters for segmenting the document images into maximal homogeneous regions and identifying them as texts, images, tables and lines. A pyramidal quadtree structure is constructed for multiscale analysis and top-down approach, and a periodicity measure is suggested to find a periodical attribute of text regions. To obtain robust page segmentation results, a confirmation procedure using texture analysis is applied to only ambiguous regions. Experimental results with the document database from the University of Washington show that the proposed method works better than the previous ones. |
| Starting Page | 397 |
| Ending Page | 400 |
| File Size | 384832 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769507506 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2000.902942 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-09-03 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Text analysis Image segmentation Humans Computer science Robustness Image texture analysis Databases Information technology Books Content based retrieval |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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