top of page

AI Use Case

Detect fake biometric credentials

The rise of biometric-based security systems poses risks that fake credentials - photographs, scans, copies or even post-mortem presentation - may be offered to fool security systems. Image recognition is used to scan for and observe minute differences that may suggest the credentials are invalid.





Risk reduction - Reduce data theft risk,Risk reduction - Spot issue (eg copyright infringement)

Case Studies

Warsaw University of Technology~Researchers from Warsaw University of Technology identify irises as live or dead with a mean accuracy of 98.94% using convolutional neural networks,New York University ~Researchers generate fake fingerprints using neural networks and successfully trick fingerprint matching security systems

Potential Vendors


Public And Social Sector


Data Sets


AI Technologies

ML Task - Prediction - Binary Classification,ML Task - Prediction - Multi-class Classification,ML Task - Grouping - Anomaly Detection,Machine Learning (ML)

bottom of page