Automatic Ground-truth Generation for Document Image Analysis and Understanding
| Autor: | Eric Trupin, Pierre Héroux, Eugen Barbu, Sébastien Adam |
|---|---|
| Přispěvatelé: | Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU), Héroux, Pierre |
| Rok vydání: | 2007 |
| Předmět: |
Ground truth
Information retrieval Computer science [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing 020207 software engineering Context (language use) 02 engineering and technology Document clustering computer.software_genre Image (mathematics) [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing Automatic image annotation Digital image processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data mining computer Document layout analysis |
| Zdroj: | ICDAR ICDAR, 2007, Brazil. pp.476-480 |
| ISSN: | 1520-5363 |
| DOI: | 10.1109/icdar.2007.4378755 |
| Popis: | International audience; Performance evaluation for document image analysis and understanding is a recurring problem. Many ground- truthed document image databases are now used to evalu- ate algorithms, but these databases are less useful for the design of a complete system in a precise context. This pa- per proposes an approach for the automatic generation of synthesised document images and associated ground-truth information based on a derivation of publishing tools. An implementation of this approach illustrates the richness of the produced information. |
| Databáze: | OpenAIRE |
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