Face biometrics are being used for an increasing number of use cases that pose a range of unique challenges and threats to usability and security. Face biometric systems and their performance are highly subject to quality issues, potential bias, and are the primary subject of presentation attacks using fake biometrics such as masks.
BixeLab provides a range of testing and analysis services to assess face biometric systems including matching accuracy, quality impacts, bias analysis, and susceptibility to sophisticated presentation attacks. This includes end-to-end investigation and testing of quality and demographic issues, liveness detection and threat scenarios for digital identity systems.
We can provide you with an understanding of your system’s accuracy, quality, and vulnerabilities. An understanding of system performance provides a basis for significant enhancement through tuning of parameters and thresholds.