Zobrazeno 1 - 10
of 181
pro vyhledávání: '"face morphing"'
Feature Interaction-Based Face De-Morphing Factor Prediction for Restoring Accomplice’s Facial Image
Publikováno v:
Sensors, Vol 24, Iss 17, p 5504 (2024)
Face morphing attacks disrupt the essential correlation between a face image and its identity information, posing a significant challenge to face recognition systems. Despite advancements in face morphing attack detection methods, these techniques ca
Externí odkaz:
https://doaj.org/article/9b05b416d1534ded8a39764c3dc76357
Publikováno v:
IEEE Access, Vol 11, Pp 120419-120437 (2023)
Morphing Attack, i.e. the elusion of face verification systems through a facial morphing operation between a criminal and an accomplice, has recently emerged as a serious security threat. Despite the importance of this kind of attack, the development
Externí odkaz:
https://doaj.org/article/97dde6a462ce41cf85c41d38baf1ef99
Publikováno v:
IEEE Access, Vol 11, Pp 92120-92134 (2023)
Existing methods for generating virtual character videos focus on improving either appearance or motion. However, achieving both photo- and motion-realistic characters is critical in real services. To address both aspects, we propose Fake to Real Por
Externí odkaz:
https://doaj.org/article/fa3a789a76e54be8b0806e451037d2ef
Face morphing attack detection based on high-frequency features and progressive enhancement learning
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
Face morphing attacks have become increasingly complex, and existing methods exhibit certain limitations in capturing fine-grained texture and detail changes. To overcome these limitation, in this study, a detection method based on high-frequency fea
Externí odkaz:
https://doaj.org/article/99d36fa22f7b43d5bfa4526462afed9c
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Publikováno v:
EURASIP Journal on Information Security, Vol 2021, Iss 1, Pp 1-25 (2021)
Abstract Information fusion, i.e., the combination of expert systems, has a huge potential to improve the accuracy of pattern recognition systems. During the last decades, various application fields started to use different fusion concepts extensivel
Externí odkaz:
https://doaj.org/article/6a2b5fc0d9dc4fa58f99990c90382161
Publikováno v:
Frontiers in Computer Science, Vol 4 (2022)
The development of face recognition improvements still lacks knowledge on what parts of the face are important. In this article, the authors present face parts analysis to obtain important recognition information in a certain area of the face, more t
Externí odkaz:
https://doaj.org/article/687e9abee24b405191d7ff1f82c7a1ca
Publikováno v:
IEEE Access, Vol 9, Pp 116427-116439 (2021)
Trust and security are fundamental to the successful adoption of the Internet of Things (IoT). This paper proposes a secure message authentication scheme based on steganographic secret sharing for building trust in IoT systems. In our scheme, the mes
Externí odkaz:
https://doaj.org/article/c69db427ce9347188880383ffafa2ec3
Publikováno v:
IEEE Access, Vol 9, Pp 136561-136579 (2021)
Morphing attack is an important security threat for automatic face recognition systems. High-quality morphed images, i.e. images without significant visual artifacts such as ghosts, noise, and blurring, exhibit higher chances of success, being able t
Externí odkaz:
https://doaj.org/article/414fd99fe36f4f93bb5f8da00968e471
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Presentation attacks on face recognition systems are classified into two categories: physical and digital. While much research has focused on physical attacks such as photo, replay, and mask attacks, digital attacks such as morphing have received lim
Externí odkaz:
https://doaj.org/article/5db6f610cb234b0fa47aec58cbdc018c