Face anti-spoofing based on face parts segmentation

Ziqi Tang; Nan Su

doi:10.1117/12.3004482

16 August 2023 Face anti-spoofing based on face parts segmentation

Ziqi Tang, Nan Su

Proceedings Volume 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023); 127871L (2023) https://doi.org/10.1117/12.3004482
Event: 6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023), 2023, Shenyang, China

Abstract

With the reduction of the cost of high precision 3D sensors and spoofing attacks, face presentation attack has become the main security risk of face recognition. In order to deal with presentation attacks and ensure the effective use of face recognition, presentation attack detection has gradually become a popular research topic. As advanced face presentation attacks increases deception by adding active cues, the research on face anti-spoofing ignores the local regions of the face. In this paper we propose a FPACNet to fully exploit features of face part. Extensive experiment shows that our model has achieved extraordinary performance

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ziqi Tang and Nan Su "Face anti-spoofing based on face parts segmentation", Proc. SPIE 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023), 127871L (16 August 2023); https://doi.org/10.1117/12.3004482

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