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METAMORPH FACE MAKER USING ARTIFICIAL INTELLIGENCE - T. Aruna Kumari,M. Aravind Kumar,D. Haritha

Anglų
2024-06-12
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Face morphing attack is proved to be a serious threat to the existing face recognition systems. Although a few face morphing detection methods have been put forward, the face morphing accomplice¿s facial restoration remains a challenging problem. In this paper, a face de- morphing generative adversarial network (FD-GAN) is proposed to restore the accomplice¿s facial image. It utilizes a symmetric dual netwo ... Visas aprašymas

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Face morphing attack is proved to be a serious threat to the existing face recognition systems. Although a few face morphing detection methods have been put forward, the face morphing accomplice¿s facial restoration remains a challenging problem. In this paper, a face de- morphing generative adversarial network (FD-GAN) is proposed to restore the accomplice¿s facial image. It utilizes a symmetric dual network architecture and two levels of restoration losses to separate the identity feature of the morphing accomplice. By exploiting the captured facial image (containing the criminal¿s identity) from the face recognition system and the morphed image stored in the e-passport system (containing both criminal and accomplice¿s identities), the FD-GAN can effectively restore the accomplice¿s facial image. Experimental results and analysis demonstrate the effectiveness of the proposed scheme. It has great potential to be applied for tracing the identity of face morphing attack¿s accomplice in criminal investigation and judicial forensics.

Daugiau informacijos

Autorius T. Aruna Kumari, M. Aravind Kumar, D. Haritha
Leidėjas LAP LAMBERT Academic Publishing
Išleidimo metai 2024
Viršelio tipas Minkšti viršeliai
EAN 9786207652488
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47,39 € 63,18 €