Biometric Attack dataset - Waist-High Videos

The anti spoofing dataset consists of waist-high selfies and video of real people. The videos were gathered by capturing faces of genuine individuals presenting spoofs, using facial presentations. Our dataset proposes a novel approach that learns and detects spoofing techniques, extracting features from the genuine facial images to prevent the capturing of such information by fake users.

The dataset contains images and videos of real humans with various resolutions, views, and colors, making it a comprehensive resource for researchers working on anti-spoofing technologies.

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The dataset includes 2 different types of files:

• Photo - a selfie of a person from a mobile phone, the person is depicted alone on it, the face is clearly visible. Person is presented waist-high.
• Video - filmed on the front camera, on which a person moves his/her head left, right, up and down. Duration of the video is from 10 to 20 seconds.

The dataset provides data to combine and apply different techniques, approaches, and models to address the challenging task of distinguishing between genuine and spoofed inputs, providing effective anti-spoofing solutions in active authentication systems. These solutions are crucial as newer devices, such as phones, have become vulnerable to spoofing attacks due to the availability of technologies that can create replays, reflections, and depths, making them susceptible to spoofing and generalization.

Our dataset also explores the use of neural architectures, such as deep neural networks, to facilitate the identification of distinguishing patterns and textures in different regions of the face, increasing the accuracy and generalizability of the anti-spoofing models.

Content

• The folder "photo" includes selfies of people
• The folder "video" includes videos of people

File with the extension .csv

includes the following information for each media file:

• photo: link to access the selfie,
• video: link to access the video,
• phone: the device used to capture selfie and video,
• gender: gender of a person,
• age: age of the person,
• country: country of the person

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