Investigation of Biometric Identification Technology Based on biological Fingerprints and Facial Features

Huixing Li; Yan Xue; Xiancai Zeng

doi:10.1051/e3sconf/202126702035

All issues

Volume 267 (2021)

E3S Web Conf., 267 (2021) 02035

References

Open Access

Issue		E3S Web Conf. Volume 267, 2021 7^th International Conference on Energy Science and Chemical Engineering (ICESCE 2021)


Article Number		02035
Number of page(s)		4
Section		Environmental Chemistry Research and Chemical Preparation Process
DOI		https://doi.org/10.1051/e3sconf/202126702035
Published online		04 June 2021

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[1] Alay, N., & Al-Baity, H. H.. (2020). Deep learning approach for multimodal biometric recognition system based on fusion of iris, face, and finger vein traits. Sensors, 20(19). [Google Scholar]

[2] Ramenzoni, L. L., & Line, S. R. P.. (2006). Automated biometrics-based personal identification of the hunter–schreger bands of dental enamel. Proceedings of the Royal Society B Biological Sciences, 273(1590), 1155-1158. [Google Scholar]

[3] Braun, E., & Marom, S.. (2015). Universality, complexity and the praxis of biology: two case studies. Studies in History & Philosophy of Biological & Biomedical Sciences, 53, 68-72. [Google Scholar]

[4] Mehrabian, A.. (1992). Interrelationships among name desirability, name uniqueness, emotion characteristics connoted by names, and temperament. Journal of Applied Social Psychology, 22(23), 17971808. [Google Scholar]

[5] Gajda, J.. (1995). Analysis of measurability of complex identification objects. Systems Analysis Modelling Simulation(3). [Google Scholar]

[6] Yi, M., Min, M., Yun, D., & An, H.. (2010). Expression, identification and biological effects of a novel vpac2-specific agonist with high stability and bioactivity. Acta Biochim Biophys Sin(1), 21-29. [Google Scholar]