Challenges of Face Image Authentication and Suggested Solutions

Zahraa Aqeel Salih, Rasha Thabit, Khamis A. Zidan, B. Khoo
{"title":"Challenges of Face Image Authentication and Suggested Solutions","authors":"Zahraa Aqeel Salih, Rasha Thabit, Khamis A. Zidan, B. Khoo","doi":"10.1109/ICITSI56531.2022.9970797","DOIUrl":null,"url":null,"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.","PeriodicalId":439918,"journal":{"name":"2022 International Conference on Information Technology Systems and Innovation (ICITSI)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Information Technology Systems and Innovation (ICITSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITSI56531.2022.9970797","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Automatic Road Extraction from Very High Resolution Orthophoto Using DeepLab V3+ Android Malware Evasion Framework For Auditing Anti-Malware Resistance Against Various Obfuscation Technique And Dynamic Code Loading Digital Forensic Readiness Information System For EJBCA Digital Signature Web Server Designing Service-oriented Platform for Remote Sensing Ground Station Data Management Challenges of Face Image Authentication and Suggested Solutions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1