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Early Diagnosis of Neurodegenerative Diseases by Handwritten Signature Analysis

  • Giuseppe Pirlo
  • Moises Diaz
  • Miguel Angel Ferrer
  • Donato ImpedovoEmail author
  • Fabrizio Occhionero
  • Urbano Zurlo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9281)

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.

Keywords

Biometrics Alzheimer Pre-diagnosis system Handwritten signature Sigma- lognormal 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Giuseppe Pirlo
    • 1
  • Moises Diaz
    • 2
  • Miguel Angel Ferrer
    • 2
  • Donato Impedovo
    • 3
    Email author
  • Fabrizio Occhionero
    • 1
  • Urbano Zurlo
    • 1
  1. 1.Dipartimento di InformaticaUniversità Degli Studi di BariBariItaly
  2. 2.Instituto Universitario Para el Desarrollo Tecnológico y la Innovación en ComunicacionesUniversidad de Las Palmas de Gran CanariaLas PalmasSpain
  3. 3.DyrectaLabBariItaly

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