Challenges of Face Image Authentication and Suggested Solutions

Zahraa Aqeel Salih, Rasha Thabit, Khamis A. Zidan, B. Khoo
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引用次数: 1

Abstract

The rapid development of face image manipulation algorithms and the distribution of their easy-to-use applications bring an urgent need to manipulation detection techniques that can reveal the modification in face image and prove its authenticity. Recently, the term “DeepFakes” and their detection techniques have attracted the attention of the research community. To current date, there is no universal detection technique and each one has its own limitations. In this paper, a brief review of face image manipulation techniques and their detection is presented followed by a summary of the limitations and challenges that can face the manipulation detection techniques. Then, the paper presents some suggestions which can be considered for future researches in this attracted and interesting research topic. The review in this paper can be considered as a starting point for the researchers who are concerned about this research field.
人脸图像认证的挑战及建议解决方案
随着人脸图像处理算法的快速发展和应用的普及,迫切需要能够揭示人脸图像修改并证明其真实性的人脸图像处理检测技术。最近,“DeepFakes”一词及其检测技术引起了研究界的关注。到目前为止,还没有通用的检测技术,每种检测技术都有其局限性。在本文中,简要回顾了人脸图像处理技术及其检测,然后总结了操作检测技术可能面临的局限性和挑战。在此基础上,提出了一些可供今后研究的建议。本文的综述可以作为关注这一研究领域的研究者的一个起点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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