Digital Face Manipulation in Biometric Systems

Author:

Ibsen Mathias,Rathgeb Christian,Fischer Daniel,Drozdowski Pawel,Busch Christoph

Abstract

AbstractBiometric technologies, in particular facerecognition, are employed in many personal, commercial, and governmental identity management systems around the world. The processing of digitally manipulated face images within a face recognition system may lead to false decisions and thus decrease the reliability of the decision system. This necessitates the development of manipulation detection modules which can be seamlessly integrated into the processing chain of face recognition systems. This chapter discusses the impact of face image manipulation on face recognition technologies. To this end, the basic processes and key components of biometric systems are briefly introduced with particular emphasis on facial recognition. Additionally, face manipulation detection scenarios and concepts of how to integrate detection methods to face recognition systems are discussed. In an experimental evaluation, it is shown that different types of face manipulation, i.e. retouching, face morphing, and swapping, can significantly affect the biometric performance of face recognition systems and hence impair their security. Eventually, this chapter provides an outlook on issues and challenges that face manipulation poses to face recognition technologies.

Publisher

Springer International Publishing

Cited by 6 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. Conditional Face Image Manipulation Detection: Combining Algorithm and Human Examiner Decisions;Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security;2024-06-24

2. A novel blind tamper detection and localization scheme for multiple faces in digital images;IET Image Processing;2023-08-14

3. A Principal Component Analysis-Based Approach for Single Morphing Attack Detection;2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2023-01

4. Fun Selfie Filters in Face Recognition: Impact Assessment and Removal;IEEE Transactions on Biometrics, Behavior, and Identity Science;2023-01

5. Challenges of Face Image Authentication and Suggested Solutions;2022 International Conference on Information Technology Systems and Innovation (ICITSI);2022-11-08

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