Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/45495
Título: | Early diagnosis of neurodegenerative diseases by handwritten signature analysis | Autores/as: | Pirlo, Giuseppe Diaz, Moises Ferrer, Miguel Angel Impedovo, Donato Occhionero, Fabrizio Zurlo, Urbano |
Clasificación UNESCO: | 3307 Tecnología electrónica | Palabras clave: | Handwritten signature Alzheimer Pre-diagnosis system Pattern Recognition |
Fecha de publicación: | 2015 | Editor/a: | Springer | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 18th International Conference on Image Analysis and Processing (ICIAP 2015) 18th International Conference on Image Analysis and Processing, ICIAP 2015 BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM (ICIAP 2015) |
Resumen: | Handwritten signatures are generally considered a powerful biometric traits for personal verification. Recently, handwritten signatures have been also investigated for early diagnosis of neurodegenerative diseases. This paper presents a new approach for early diagnosis of neurodegenerative diseases by the analysis of handwritten dynamic signatures. For the purpose, the sigma-lognormal model was considered and dynamic parameters are extracted for signatures. Based on these parameters, the health condition of the signer is analysed in terms of Alzheimer disease. The approach is cheap and effective, therefore it can be considered as a very promising direction for further research. | URI: | http://hdl.handle.net/10553/45495 | ISBN: | 978-3-319-23221-8 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-319-23222-5_36 | Fuente: | New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops. ICIAP 2015. Lecture Notes in Computer Science, v. 9281 LNCS, p. 290-297 |
Colección: | Capítulo de libro |
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