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.
Function
Risk
Security
Benefits
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
Industry
Public And Social Sector
Security
Data Sets
Images,Audio
AI Technologies
ML Task - Prediction - Binary Classification,ML Task - Prediction - Multi-class Classification,ML Task - Grouping - Anomaly Detection,Machine Learning (ML)