Kinematic Synthesis for 3D Signatures-Reference-Cited by-同舟云学术

Kinematic Synthesis for 3D Signatures

Published:2022-10-10 Issue: Volume: Page:
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Container-title:2022 IEEE International Joint Conference on Biometrics (IJCB)
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Author:

Diaz Moises¹,Ferrer Miguel A.¹,Carmona-Duarte Cristina¹,Quintana Jose Juan¹,Morales Aythami²,Fierrez Julian²,Plamondon Rejean³

Affiliation:

1. Instituto Universitario para el Desarrollo Tecnológico y la Innovación en Comunicaciones (iDeTIC), Universidad de Las Palmas de Gran Canaria,Spain

2. Universidad Autonoma de Madrid,Biometrics and Data Pattern Analytics Lab,Spain

3. École Polytechnique, University of Montreal,Montreal,QC,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10007927/10007928/10007945.pdf?arnumber=10007945

Reference27 articles.

1. iDeLog3D: Sigma-Lognormal Analysis of 3DHuman Movements

2. Robust score normalization for DTW-based on-line signature verification

3. Modeling 3D movements with the kinematic theory of rapid human movements;fischer;The Lognormality Principle and Its Applications in E-Security E-Learning and E-Health,2021

4. On-line signature recognition through the combination of real dynamic data and synthetically generated static data

5. Accuracy evaluation of handwritten signature verification: Rethinking the random-skilled forgeries dichotomy

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