Integrated Biometrics launches AI presentation attack detection for FBI-certified fingerprint scanners
A new biometric presentation attack detection (PAD) technology has been launched by Integrated Biometrics, which the company says is the world’s strongest spoof prevention for FBI-certified fingerprint scanners.
Advances in hardware and software have enabled IB to develop a system for rejecting spoof attempts for rapid fraud prevention. The technology can be applied to fraud protection in banking and financial services, automated border control kiosks, secure facilities, and for sensitive systems and data, according to the company announcement.
The new AI-enhanced IB-PAD capability deploys sophisticated machine learning algorithms and the company’s Light Emitting Sensor (LES) film-based spoof detection. The scientific principles behind LES film make it impervious to common spoofing materials, IB states, while IB-PAD provides protection against attacks with newer, sophisticated conductive materials.
“We are fully committed to raising the bar and helping our customers in the battle against criminals using fake fingerprints to subvert biometric identification systems,” comments Integrated Biometrics CEO Stephen Thies. “These criminal activities run the gamut from theft to fraud, money laundering, illegal access to information, crossing borders illegally, and much more. The addition of this powerful spoof prevention capability is evidence that we’re delivering on the promise of identity protection to our customers.”
Existing IB customers can gain access to the enhanced capabilities by downloading a new SDK, with an IB-PAD SDK update for the Columbo scanner in April, 2020, followed by updates for the rest of the company’s line of FBI-certified fingerprint biometric scanners.
IB appointed a new VP of Business Development earlier this month to boost application development and sales growth in new markets.
The Biometrics Institute discussed best practices for PAD technology last year as the capability becomes a necessary feature of a growing number of biometric systems.