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http://hdl.handle.net/10553/44075
| Título: | Angular contour parameterization for signature identification | Autores/as: | Briceño, Juan Carlos Travieso, Carlos M. Ferrer, Miguel A. Alonso, Jesús B. Vargas, Francisco |
Clasificación UNESCO: | 3307 Tecnología electrónica | Palabras clave: | Signature identification, Biometric system, Edge parameterization, Handwritten Writing, Document analysis, Classification system Pattern Recognition | Fecha de publicación: | 2009 | Editor/a: | 0302-9743 | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 12th International Conference on Computer Aided Systems Theory (EUROCAST 2009) 12th International Conference on Computer Aided Systems Theory, EUROCAST 2009 |
Resumen: | This present work presents a parameterization system based on angles from signature edge (2D-shape) for off-line signature identification. We have used three different classifiers, the Nearest Neighbor classifier (K-NN), Neural Networks (NN) and Hidden Markov Models (HMM). Our off-line database has 800 writers with 24 samples per each writer; in total, 19200 images have been used in our experiments. We have got a success rate of 84.64%, applying as classifier Hidden Markov Model, and only used the information from this edge detection method. | URI: | http://hdl.handle.net/10553/44075 | ISBN: | 978-3-642-04771-8 3642047718 |
ISSN: | 0302-9743 | DOI: | 10.1007/978-3-642-04772-5_47 | Fuente: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 5717 LNCS, p. 358-365 |
| Colección: | Actas de congresos |
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