A Review on Face Anti-Spoofing

Author:

Perdana Rizky Naufal,Ardiyanto Igi,Nugroho Hanung Adi

Abstract

The biometric system is a security technology that uses information based on a living person's characteristics to verify or recognize the identity, such as facial recognition. Face recognition has numerous applications in the real world, such as access control and surveillance. But face recognition has a security issue of spoofing. A face anti-spoofing, a task to prevent fake authorization by breaching the face recognition systems using a photo, video, mask, or a different substitute for an authorized person's face, is used to overcome this challenge. There is also increasing research of new datasets by providing new types of attack or diversity to reach a better generalization. This paper review of the recent development includes a general understanding of face spoofing, anti-spoofing methods, and the latest development to solve the problem against various spoof types.

Publisher

Universitas Gadjah Mada

Subject

Industrial and Manufacturing Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Review on Anti-Spoofing : Face Manipulation and Liveness Detection;2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI);2023-12-10

2. Texture, Quality, and Motion-Based Analysis for Face Spoofing Detection System: A Review;2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS);2023-11-01

3. Development of Passive Liveness Detection System Based on Deep Learning LivenessNet to Overcome Face Spoofing;2023 17th International Conference on Telecommunication Systems, Services, and Applications (TSSA);2023-10-12

4. SCPAD: An approach to explore optical characteristics for robust static presentation attack detection;Multimedia Tools and Applications;2023-06-27

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