Using empirical mode decomposition and Kullback-Leibler distance for online handwritten signature verification - Université Paris-Est-Créteil-Val-de-Marne
Journal Articles International Journal of Applied Pattern Recognition Year : 2019

Using empirical mode decomposition and Kullback-Leibler distance for online handwritten signature verification

Toufik Hafs
  • Function : Author
Layachi Bennacer
  • Function : Author
Hanene Brahmia
  • Function : Author
Mohamed Boughazi
  • Function : Author
Amine Nait-Ali
  • Function : Author
Laboratoire Images, Signaux et Systèmes Intelligents
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Computer Science [cs]

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https://hal.u-pec.fr/hal-04614616

Submitted on : Monday, June 17, 2024-4:06:58 PM

Last modification on : Tuesday, June 18, 2024-3:08:09 AM

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hal-04614616 , version 1 (17-06-2024)

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Toufik Hafs, Layachi Bennacer, Hanene Brahmia, Mohamed Boughazi, Amine Nait-Ali. Using empirical mode decomposition and Kullback-Leibler distance for online handwritten signature verification. International Journal of Applied Pattern Recognition, 2019, 6 (1), pp.15. ⟨10.1504/IJAPR.2019.104279⟩. ⟨hal-04614616⟩

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