Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 12
3776-3780

Forgery detection and authentication for face image using frequency domain watermarking

Li Shuling1
Wei Junfei2
Zhuang Yan1
Cao Yangjie1
Li Jie1,3
Ren Hongjun2
1. School of Cyber Science & Engineering, Zhengzhou University, Zhengzhou 450001, China
2. Hanwei Electronics Group Corporation, Zhengzhou 450001, China
3. Dept. of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
DOI: 10.19734/j.issn.1001-3695.2022.05.0205

Abstract

AI face-swapping technologies, such as DeepFake, bring negative effects in daily life. However, existing face forgery detection algorithms have weak robustness and lack interpretable ability. Aiming at the above problems, this paper proposed a face frequency-domain watermarking algorithm(Face-FW) which combined discrete wavelet transform(DWT), discrete cosine transform(DCT) and single value decomposition(SVD). To detect face forgery and verify the attribution of the original face, the algorithm extracted face features from a face image, and then compressed and encrypted them into a binary watermarking. Finally, Face-FW embedded the generated watermarking to frequency domain of the image. At the same time, the algorithm used a dynamic feature fusion algorithm to broaden the scope of applications. This paper generated test sets CASIA-DF and IMDB-DF by embedding watermarking meanwhile tampering the faces in the selected standard face image datasets CASIA-FaceV5 and IMDB-WIKI. Experimental results demonstrate that Face-FW reaches detection success rates of 97.6% and 96.9% on the test sets respectively and achieves a better performance than compared methods. Moreover, the algorithm can provide face authentication for face images according to the non-integrated watermarking, showing strong robustness and interpretability.

Foundation Support

国家自然科学基金面上项目(61972092)
郑州市协同创新重大专项(20XTZX06013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.05.0205
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 12
Section: Technology of Information Security
Pages: 3776-3780
Serial Number: 1001-3695(2022)12-040-3776-05

Publish History

[2022-07-08] Accepted Paper
[2022-12-05] Printed Article

Cite This Article

李书领, 魏君飞, 庄岩, 等. 基于频域水印的人脸图像窜改检测认证方法 [J]. 计算机应用研究, 2022, 39 (12): 3776-3780. (Li Shuling, Wei Junfei, Zhuang Yan, et al. Forgery detection and authentication for face image using frequency domain watermarking [J]. Application Research of Computers, 2022, 39 (12): 3776-3780. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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