Tesis doctoral de Oriol Ramos Terrades
In the field of document analysis we would like to be able to automatically process any kind of digital document. This is a challenger problem that has motivated different lines of research in the field of document analysis at different levels. we have focused on the shape description and also on classifier fusion, to apply them to one of the application fields in the document analysis: the graphics recognition. In shape recognition, many applications have to face the problem of describing a large number of complex shapes for recognition or retrieval in large databases. One of the key issues is the design of highly discriminant shape descriptors. Unfortunately, one kind of descriptor is not usually enough to achieve satisfactory results and hence, we have to combine the information from different sources to improve the global performance of the recognition system. these theoretical approaches have been evaluated through an experimental evaluation in ridgelets descriptors, classifier fusion and applying the classifier fusion methods to ridgelets descriptors, obtaining quite satisfying results.
Datos académicos de la tesis doctoral «Linear combination of multiresolution descriptors: application to graphics recognition«
- Título de la tesis: Linear combination of multiresolution descriptors: application to graphics recognition
- Autor: Oriol Ramos Terrades
- Universidad: Autónoma de barcelona
- Fecha de lectura de la tesis: 17/10/2006
Dirección y tribunal
- Director de la tesis
- Ernest Valveny Llobet
- Tribunal
- Presidente del tribunal: josé Villanueva Juan
- alfons Juan (vocal)
- nicole Vincent (vocal)
- kamel Smaili (vocal)