Quantifying dynamic time warping distance using probabilistic model in verification of dynamic signatures-Reference-Cited by-同舟云学术

Quantifying dynamic time warping distance using probabilistic model in verification of dynamic signatures

Published:2017-08-19 Issue:2 Volume:23 Page:407-418
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Al-Hmouz Rami^ORCID,Pedrycz Witold,Daqrouq Khaled,Morfeq Ali,Al-Hmouz Ahmed

Funder

King Abdulaziz City for Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00500-017-2782-5/fulltext.html

Reference31 articles.

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4. Cpalka K, Zalasiński M, Rutkowski L (2014) New method for the on-line signature verification based on horizontal partitioning. Patt Recognit 47:2652–2661

5. Elgarrai Z, Elmeslouhi O, Kardouchi M, Allali H, Selouani S-A (2016) Offline face recognition system based on gabor fisher descriptors and Hidden Markov Models. Int J Interact Multimed Artif Intell 4(1):11–14

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