Offline geometric parameters for automatic signature verification using fixed-point arithmetic

Título:	Offline geometric parameters for automatic signature verification using fixed-point arithmetic
Autores/as:	Ferrer, Miguel A. Alonso, Jesús B. Travieso, Carlos M.
Clasificación UNESCO:	3307 Tecnología electrónica
Palabras clave:	Handwriting recognition , Fixed-point arithmetic , Forgery , Hidden Markov models , Support vector machines , Support vector machine classification , Shape , Testing , Euclidean distance , Writing, Automatic Signature Verification (ASV) , Hidden Markov Models (HMM) , Support Vector Machines (SVM) , fixed-point arithmetic.
Fecha de publicación:	2005
Editor/a:	0162-8828
Publicación seriada:	IEEE Transactions on Pattern Analysis and Machine Intelligence
Resumen:	This paper presents a set of geometric signature features for offline automatic signature verification based on the description of the signature envelope and the interior stroke distribution in polar and Cartesian coordinates. The features have been calculated using 16 bits fixed-point arithmetic and tested with different classifiers, such as hidden Markov models, support vector machines, and Euclidean distance classifier. The experiments have shown promising results in the task of discriminating random and simple forgeries.
URI:	http://hdl.handle.net/10553/44109
ISSN:	0162-8828
DOI:	10.1109/TPAMI.2005.125
Fuente:	IEEE Transactions on Pattern Analysis and Machine Intelligence[ISSN 0162-8828],v. 27, p. 993-997
Colección:	Artículos

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