Face Authenticity: An Overview of Face Manipulation Generation, Detection and Recognition

9 Pages Posted: 15 Jul 2019 Last revised: 30 Sep 2019

See all articles by Zahid Akhtar

Zahid Akhtar

University of Memphis

Dipankar Dasgupta

University of Memphis

Bonny Banerjee

University of Memphis

Date Written: May 17, 2019

Abstract

In recent years, there has been an exponential increase in photo and video manipulation by easy-to-use editing tools (e.g., Photoshop). Especially, ‘face digital manipulations’ (e.g., face swapping) is a critical issue for automated face recognition systems (AFRSs) as it detrimentally effects the AFRS’ performance. Also, the advent of powerful deep learning methods has led to realistic face sample generation and manipulation. Despite recent advances in face manipulation detection techniques, manipulations-aware AFRSs and face synthetic sample/manipulation generation, detecting sophisticated face manipulations is still a challenge to human examiners and existing technologies. Devising more effective universal face manipulation detectors and manipulations-aware AFRSs will immensely improve the trust in biometric applications and digital communications. This paper presents an overview of the recent technologies on face manipulation generation, detection, recognition, and databases. Also, potential future research directions and challenges are discussed.

Keywords: face manipulation, face recognition, biometrics, information authenticity

JEL Classification: Y60

Suggested Citation

Akhtar, Zahid and Dasgupta, Dipankar and Banerjee, Bonny, Face Authenticity: An Overview of Face Manipulation Generation, Detection and Recognition (May 17, 2019). Proceedings of International Conference on Communication and Information Processing (ICCIP) 2019, Available at SSRN: https://ssrn.com/abstract=3419272 or http://dx.doi.org/10.2139/ssrn.3419272

Zahid Akhtar (Contact Author)

University of Memphis ( email )

Memphis, TN 38152
Memphis, TN usa 38152-3370
United States

Dipankar Dasgupta

University of Memphis ( email )

Bonny Banerjee

University of Memphis ( email )

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