Behaviour of dynamic and static feature dependences in constrained signatures

Título:	Behaviour of dynamic and static feature dependences in constrained signatures
Autores/as:	Pirlo, Giuseppe Diaz, Moises Ferrer, Miguel A. Impedovo, Donato Rizzi, Fabrizio
Clasificación UNESCO:	3307 Tecnología electrónica
Palabras clave:	Hidden Markov models Analysis of variance Biological system modeling Electronic mai Biomedical imaging
Fecha de publicación:	2015
Publicación seriada:	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Conferencia:	13th IAPR International Conference on Document Analysis and Recognition (ICDAR) 13th International Conference on Document Analysis and Recognition, ICDAR 2015
Resumen:	In the networked society, in which a multitude of different devices can be used for signature acquisition, specific research is still needed to determine the extent to which features of an input signature depend on the characteristics of the signature acquisition process. In this paper an experimental investigation is carried out on constrained signatures, which were acquired using writing boxes with different areas and shapes. The paper discusses different behaviour of dynamic and static features with respect to the writing boxes.
URI:	http://hdl.handle.net/10553/45489
ISBN:	9781479918058
ISSN:	1520-5363
DOI:	10.1109/ICDAR.2015.7333954
Fuente:	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR[ISSN 1520-5363],v. 2015-November (7333954), p. 1278-1281
Colección:	Actas de congresos

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