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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Eynard, L. Emptoz, H. |
| Copyright Year | 2009 |
| Abstract | This paper presents an Italic/Roman word type recognition system without a priori knowledge on the characters' font. This method aims at analyzing old documents in which character segmentation is not trivial. Therefore our approach segments the document into words and analyse the text word per word. To define the word style, we combine three criteria which are based on the visual differences between a word and a slanted version of the same word.These criteria are defined thanks to features computed from the vertical projection profile of the word. Because we do not assume a specific slant angle, we compute these measures on a whole range of possible slant angles and then sum the obtained scores. Our results show a ratio of 100 %recognition for Italic words and 97.2 % for Roman words. |
| Starting Page | 823 |
| Ending Page | 827 |
| File Size | 390887 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424445004 |
| ISSN | 15205363 |
| DOI | 10.1109/ICDAR.2009.176 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-26 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Character recognition Image segmentation Text recognition Typesetting Optical character recognition software Ink Feature extraction Histograms Text analysis Humans word style Italic Recognition old documents segmentation-free |
| Content Type | Text |
| Resource Type | Article |
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