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3D Mask Attack for detection methods
Dataset comprises 3,500+ videos captured using 5 different devices, featuring individuals holding photo fixed on cylinder designed to simulate potential presentation attacks against facial recognition systems. It supports research in attack detection and improves spoofing detection techniques, specifically for fraud prevention and compliance with iBeta Level 1 certification standards.
By utilizing this dataset, researchers can enhance liveness detection and improve face presentation techniques, ultimately contributing to more robust biometric security measures. - Get the data
Attacks in the dataset
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Researchers can utilize this dataset to explore detection technology and recognition algorithms that aim to prevent impostor attacks and improve authentication processes.
Metadata for the dataset
This dataset serves as a crucial tool for enhancing liveness detection technologies and developing effective anti-spoofing algorithms, which are essential for maintaining the integrity of biometric verification processes.
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