Using adaptive run length smoothing algorithm for accurate text localization in images
Text information in images and videos is frequently a key factor for information indexing and retrieval systems. However, text detection in images is a difficult task since it is often embedded in complex backgrounds. In this paper, we propose an accurate text detection and localization method in im...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Artículo publishedVersion |
| Publicado: |
2011
|
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_03029743_v7042LNCS_n_p149_Rais https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_03029743_v7042LNCS_n_p149_Rais_oai |
| Aporte de: |
| Sumario: | Text information in images and videos is frequently a key factor for information indexing and retrieval systems. However, text detection in images is a difficult task since it is often embedded in complex backgrounds. In this paper, we propose an accurate text detection and localization method in images based on stroke information and the Adaptive Run Lenght Smoothing Algorithm. Experimental results show that the proposed approach is accurate, has high recall and is robust to various text sizes, fonts, colors and languages. © 2011 Springer-Verlag. |
|---|