Multi-Modal Face Presentation Attack Detection by Jun Wan (.PDF)

File Size: 10.2 MB

Multi-Modal Face Presentation Attack Detection by Jun Wan
Requirements: .PDF reader, 10.2 MB
Overview: For the last ten years, face biometric research has been intensively studied by the computer vision community. Face recognition systems have been used in mobile, banking, and surveillance systems. For face recognition systems, face spoofing attack detection is a crucial stage that could cause severe security issues in government sectors. Although effective methods for face presentation attack detection have been proposed so far, the problem is still unsolved due to the difficulty in the design of features and methods that can work for new spoofing attacks. In addition, existing datasets for studying the problem are relatively small which hinders the progress in this relevant domain.
Genre: Non-Fiction > Tech & Devices

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