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Licensed dataset

Anti-Spoofing Print Attack Dataset

Attacks with printed selfies of people. The dataset solves security tasks for biometric identification systems

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  • Liveness detection The ability to distinguish whether biometric data is being captured from a live or fake source
  • Facial Recognition Process of identifying or verify a person identity using facial features
  • Anti-Spoofing Techniques used to prevent fraudulent attempts to deceive an identifying system
  • iBeta Independent laboratory that certifies liveness detection systems
4 700+
video
20
countries
5 days
from signing a contract

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CASE DESCRIPTION

  • Print attacks on selfie photos from Anti-Spoofing Real
  • The dataset includes printers and backgrounds used for attack
  • Each printed selfie from Anti-Spoofing Real is filmed on the smartphone camera with zooming
https://www.youtube.com/watch?v=XAOMhu1dHoM
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Technical specification

  • Each set includes person's ID from Anti-Spoofing Real, video resolution, duration and frames per second
  • The print attack duration varies from 10 to 20 seconds wth person's face in the center of the attack
  • The camera distance from 2 to 0.2 meters for each attack
  • Agreement when providing data for each person
  • The dataset meets the requirements of ISO 30107-3 for Presentation Attack
  • Type of attacks according to the biometric standard FIDO - Displayed videos on mobile devices, Level A
  • Data allows you to reduce Attack
Presentation Classificaiton Error Rate

  • Anti-Spoofing Real Unique

    • Selfie photos and videos from Anti-Spoofing Real, every person in the dataset is unique
    • Workers are identified as unique after the verification done by 3 individuals independently
    • 38 000 sets with unique people
    • Metadata from Anti-Spoofing Real
    • Data in 3 days from signing the contract

  • Anti-Spoofing Real

    • 98 000+ photos and videos where people turn their heads
    • People from 170 countries
    • The dataset complies with the requirements of ISO 30107-3 for Bona Fide Presentation
    Read more

  • Anti-Spoofing Print

    • 30 000+ videos of phone's displays with Real videos of a person
    • Videos for replay attacks are taken from Anti-spoofing Real dataset
    • The dataset complies with the requirements of ISO 30107-3 for Presentation Attack
    • Type of the attack - Displayed videos on mobile devices, Level B (FIDO biometric standard)
    Read more

APPLICATION AREAS OF THE DATASET

Facial Recognition:

Data in the dataset to develop and assess facial recognition algorithms, enhancing security systems, unlocking devices, and verifying identity

Biometric Identification:

Computer vision to detect and authenticate individuals based on their unique physical characteristics, enabling secure access control systems

Anti-spoofing:

Data in the dataset to train the system to detect a real person in a video
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