A weighted fuzzy belief factor-based D-S evidence theory of sensor data fusion method and its application to face recognition-Reference-Cited by-同舟云学术

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A weighted fuzzy belief factor-based D-S evidence theory of sensor data fusion method and its application to face recognition

Published:2023-06-23 Issue:4 Volume:83 Page:10637-10659
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Ghosh Manas,Dey Aniruddha,Kahali Sayan

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16037-x.pdf

Reference58 articles.

1. Abaza A, Ross A, (2009) Quality-based rank level fusion in biometrics, in: IEEE international conference on biometrics: theory, applications and systems, pp. 1–6

2. Abozaid A, Haggag A, Kasban H (2019) Eltokhy M multimodal biometric scheme for human authentication technique based on voice and face recognition fusion. Multimed Tools Appl 78:16345–16361

3. Ahmad S, Pal R, Ganivada A (2022) Rank level fusion of multimodal biometrics using genetic algorithm. Multimed Tools Appl 81:40931–40958

4. Chang L, Zhang L, Xu X (2021) Correlation-oriented complex system structural risk assessment using copula and belief rule base. Inf Sci 564:220–236

5. Chang L, Zhang L, Fu C, Chen Y (2022) Transparent digital twin for output control using belief rule base. IEEE Trans Cybern 52(10):10364–10378. https://doi.org/10.1109/TCYB.2021.3063285

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1. Biometric Application on Facial Image Recognition Techniques;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

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