Off line writer identification based on graphometric parameters

Título:	Off line writer identification based on graphometric parameters
Autores/as:	Vasquez, Jose L. Travieso, Carlos M. Alonso, Jesus B.
Clasificación UNESCO:	3307 Tecnología electrónica
Palabras clave:	Biometrics, Patter Recognition, Artificial Neural Networks, Graphology Techniques, Off-line Handwriting, Writer identification
Fecha de publicación:	2013
Publicación seriada:	INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings
Conferencia:	17th IEEE International Conference on Intelligent Engineering Systems, INES 2013
Resumen:	In this work is proposed a writer identification approach based on graphometrical and forensic features. The proposal replies to an off-line system, where the handwriting is provided before to perform the analysis. An Artificial Neural Network is used as classifier and after the decision fusion module, the system reaches up to 94.6% of success rate for a own database composed by 100 users with 10 samples per each one. © 2013 IEEE.
URI:	http://hdl.handle.net/10553/43997
ISBN:	9781479908288
DOI:	10.1109/INES.2013.6632815
Fuente:	INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings (6632815), p. 219-223
Colección:	Actas de congresos

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