A deep feature-level fusion model for masked face identity recommendation system-Reference-Cited by-同舟云学术

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A deep feature-level fusion model for masked face identity recommendation system

Published:2022-09-19 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Thaipisutikul Tipajin,Tatiyamaneekul Phonarnun,Lin Chih-Yang^ORCID,Tuarob Suppawong^ORCID

Funder

Mahidol University

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-022-04380-0.pdf

Reference47 articles.

1. Ahmed T, Das P, Ali MF, Mahmud M-F (2020) A comparative study on convolutional neural network based face recognition. In: 2020 11th international conference on computing, communication and networking technologies (ICCCNT). IEEE, pp 1–5

2. Ahonen T, Hadid A, Pietikainen M (2006) Face description with local binary patterns: application to face recognition. IEEE Trans Pattern Anal Mach Intell 28(12):2037–2041. https://doi.org/10.1109/tpami.2006.244

3. Ahonen T, Rahtu E, Ojansivu V, Heikkila J (2008) Recognition of blurred faces using local phase quantization. In: 2008 19th International conference on pattern recognition. https://doi.org/10.1109/icpr.2008.4761847

4. Anwar A, Raychowdhury A (2020) Masked face recognition for secure authentication. arXiv preprint. arXiv:2008.11104

5. Arigbabu OA, Ahmad SMS, Adnan WAW, Mahmood S (2015) Soft biometrics: gender recognition from unconstrained face images using local feature descriptor. J Inf Commun Technol. https://doi.org/10.32890/jict2015.14.0.8159

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1. Detecting and recognizing faces from video images using multi-deep CNN based rank-level fusion;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02

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