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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Eglin, V. Bres, S. Emptoz, H. |
| Copyright Year | 1998 |
| Description | Author affiliation: Lab. de Reconnaissance de Formes et Vision, Inst. Nat. des Sci. Appliquees, Villeurbanne, France (Eglin, V.) |
| Abstract | We present an approach to printed text characterization with a statistical analysis of texture. This method is based on a visibility and complexity criterion of type font families. The text is analyzed through its typographic form. So, we propose to label different kinds of text according to their visual aspect and their textural contents (especially their size, the line and letter spacing but also their complexity and their density). The texture is characterized with a statistical analysis based on samples randomly taken. This analysis is on the basis of text labeling. It is dedicated to the classification of texts according to their eye-catching properties. The global aim of this work is to recover the logical structure of a document according to the relative importance of font-types. This discrimination has been realized by the use of a scale of legibility, complexity, and of structural relief of forms. |
| Starting Page | 942 |
| Ending Page | 944 |
| File Size | 139192 |
| Page Count | 3 |
| File Format | |
| ISBN | 0818685123 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.1998.711390 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-08-20 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Statistical analysis Image texture analysis Reconnaissance Labeling Text analysis Text categorization Surface texture Humans Visual system Graphics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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