NexID Biometrics begins shipping version 2.0 of fake finger detection solution

NexID Biometrics LLC announced at Connect:ID Expo it has begun shipping version 2.0 of its fake-finger-detection (FFD) solution.

Version 2.0 of NextID’s SDK significantly increases the accuracy rate range to 96.5 to 99.5 percent in detecting fraudulent identification attempts across various fingerprint-sensor types, such as touch or swipe, as well as technologies including optical, capacitance, and other fingerprint sensor technologies.

NexID develops and licenses fake-finger-detection — also known as liveness-detection — software, enabling fingerprint-scanning technologies to authenticate scanned images more accurately by mitigating spoof-related risks.

“Our ongoing research has yielded additional fingerprint-imaging features that are highly effective in differentiating images captured from authentic versus fake fingerprints,” said NexID chief operating officer Mark Cornett. “In essence, we have expanded our portfolio of fingerprint-imaging features and that translates into higher accuracy. We’re not aware of any software-based, fingerprint spoofing-mitigation technology today that’s more rigorous and effective than NexID’s latest software improvement.”

With shipments of version 2.0 underway, NextID anticipates its FFD solution in both traditional scanners and mobile devices will be released in the second half of the year, said Cornett.

In addition to its fake-finger-detection products, NextID also provides testing and analysis of fingerprint-scanning devices to spot existing vulnerabilities to known spoofing strategies.

NexID is an associate member of both the Center for Identification Technology Research (CITeR), a National Science Foundation Industry/University Cooperative Research Center, and the Fast Identity Online (FIDO) Alliance, as well as a member of the Biometrics Institute.

Article Topics

biometric liveness detection  |  biometrics  |  fingerprint fakers  |  fingerprint scanners  |  fraud prevention  |  NXT-ID  |  SDK  |  spoof detection