Abstract
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.
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Diaz-Cabrera, M., Ferrer, M.A., Morales, A.: Modeling the Lexical Morphology of Western Handwritten Signatures. PLoS ONE 10(4), e0123254 (2015). doi:10.1371/journal.pone.0123254
Vigliotti, A.: Grafologia medica: sindrome demenziale e analisi della scrittura. www.neuroscienze.net
Impedovo, D., Pirlo, G., Mangini, F.M., Barbuzzi, D., Rollo, A., Balestrucci, A., Impedovo, S., Sarcinella, L., et al.: Writing generation model for health care neuromuscular system investigation. In: Formenti, E., Tagliaferri, R., Wit, E. (eds.) CIBB 2013. LNCS, vol. 8452, pp. 137–148. Springer, Heidelberg (2014)
Djioua, M., Plamondon, R.: Studying the Variability of Handwriting Patterns using the Kinematic Theory. Human Movement Science 28(5), 588–601 (2009)
O’Reilly, C., Plamondon, R.: Development of a Sigma-Lognormal Representation for On- Line Signatures. Pattern Recognition 42, 3324–3337 (2009)
Galbally, J. Plamondon, R., Fierrez, J., Martinez-Diaz, M.: Quality analysis of dynamic signature based on the Sigma-Lognormal model. In: Proc. IAPR Intl. Conf. on Document Analysis and Recognition, ICDAR, pp. 633–637 (2011)
Diaz, M., Fischer, A., Plamondon, R., Ferrer, M.A.: Towards an automatic on-line signature verifier using only one reference per signer. In: Proc. IAPR Intl. Conf. on Document Analysis and Recognition, ICDAR, pp. 1–5 (2015)
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Pirlo, G., Diaz, M., Ferrer, M.A., Impedovo, D., Occhionero, F., Zurlo, U. (2015). Early Diagnosis of Neurodegenerative Diseases by Handwritten Signature Analysis. In: Murino, V., Puppo, E., Sona, D., Cristani, M., Sansone, C. (eds) New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops. ICIAP 2015. Lecture Notes in Computer Science(), vol 9281. Springer, Cham. https://doi.org/10.1007/978-3-319-23222-5_36
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DOI: https://doi.org/10.1007/978-3-319-23222-5_36
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