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ISSN (Print): 2665-9972
ISSN (Online): 2665-9964

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Review Article

An Overview of Face Image Forgery Detection

Author(s): Defen He, Shuai Liu, Xin Jin, Shanshan Huang and Qian Jiang*

Volume 2, Issue 1, 2022

Published on: 19 September, 2022

Article ID: e180822207638 Pages: 10

DOI: 10.2174/2665997202666220818122419

Price: $65

Abstract

With the development of face forgery techniques, the spread and malicious abuse of forged images have become a thought-provoking problem, and the face forgery detection technique has also attracted people's attention. Academia has carried out in-depth research and discussion on detection techniques. This review discussed different face forgery methods and detection techniques. Four categories of detection methods are introduced: 1) detection method based on spatial domain, 2) detection method based on the frequency domain, 3) detection method based on biological information, and 4) detection method of multiple feature domains. This paper discussed each detection method's evolution and development in recent years. We paid special attention to the detection method of multiple feature domains and focused on the progress that has been made and the challenges it faced. In addition, this paper discussed open issues and future development trends that should be paid attention to in this field.

Keywords: Deepfake detection, face manipulation, neural network, media forensics, image processing, multiple feature domains.

Graphical Abstract

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