Investigation into the reliability of facial recognition systems under the simultaneous influences of mood variation and makeup

Author:

Azimi Mohammadreza,Pacut Andrzej

Funder

Marie Sklodowska-Curie EU Framework for Research and Innovation Horizon 2020

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference25 articles.

1. The effect of gender-specific facial expressions on the reliability of facial recognition systems;Azimi,2018

2. M. Azimi, S.A. Rasoulinejad, A. Pacut, 2019, Iris recognition under the influence of diabetes, Biomedical Engineering/Biomedizinische Technik, DOI: https://doi.org/10.1515/bmt-2018-0190.

3. Effects of facial mood expressions on the reliability of fac biometric recognition system's reliability;Azimi,2018

4. G. Panis, A. Lanitis, N. Tsapatsoulis, T.F. Cootes, An overview of research on facial aging using the FG-NET aging database IET biometrics, 2015, DOI:10.1049/iet-bmt.2014.0053.

5. Makeup-insensitive face recognition by facial depth reconstruction and Gabor filter bank from women's real-world images;Moeini,2014

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