METAMORPH FACE MAKER USING ARTIFICIAL INTELLIGENCE - Couverture souple

Kumar, M. Aravind; Haritha, D.; Kumari, T.Aruna

Couverture souple

ISBN 10 : 6207652487 ISBN 13 : 9786207652488

Editeur : LAP LAMBERT Academic Publishing, 2024

Synopsis

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.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 6207652487
• ISBN 13: 9786207652488
• Reliure: Broché
• Nombre de pages: 72
• Coordonnées du fabricant: non disponible
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