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https://accedacris.ulpgc.es/handle/10553/44014
| Título: | Using calligraphies features for off line writer identification | Autores/as: | Vásquez, José L. Travieso, Carlos M. Alonso, Jesús B. |
Clasificación UNESCO: | 3307 Tecnología electrónica | Palabras clave: | Writer Identification Off-Line Handwriting Graphology Techniques Svm Biometrics, et al. |
Fecha de publicación: | 2013 | Editor/a: | 1071-6572 | Publicación seriada: | International Carnahan Conference on Security Technology | Conferencia: | 47th International Carnahan Conference on Security Technology (ICCST) | Resumen: | This work proposes an off-line writer identification approach based on graphometrical and forensic features. We selected a set of features with independence of the text and some stability degree to natural changes in the writing. The system uses the LS-SVM classifier with RBF kernel, reaching up to 99.1% of success rate for an own database composed by 100 users with 10 samples per each one | URI: | https://accedacris.ulpgc.es/handle/10553/44014 | ISBN: | 9781479908899 | ISSN: | 1071-6572 | DOI: | 10.1109/CCST.2013.6922062 | Fuente: | Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (6922062) |
| Colección: | Actas de congresos |
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