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NexID introduces enhanced fake-finger-detection technology


NexID Biometrics LLC has released an enhanced version of its fake-finger-detection technology for embedded fingerprint sensor systems. The newly enhanced NexID software is now available for custom deployments. The company announced the new software capabilities today at the Global Identity Summit, being held in Tampa.

“Our newest version of NexID’s fake-finger-detection technology was re-architected to execute the software’s full feature set of analysis and spoof mitigation while running on embedded processors with far less computing performance and resources,” said Mark Cornett, NexID COO.

NexID ultimately redesigned its software for integration with embedded “match-on-chip” implementations, where matching and fake-finger-detection software executes on the same processor that controls the fingerprint sensor’s image-capture, enrollment and authentication operations.

The enhanced software stems from NexID’s significant R&D breakthroughs in speed and processing efficiency. By completely overhauling its software’s capabilities, NexID has produced a solution targeted for mobile devices with fingerprint sensors, including smartphones from Apple and Samsung, that have been proven vulnerable to spoofing. The software also addresses embedded modules such as ATMs; and entry access, time and attendance, and point of sale terminals, which combine sensor and microprocessor controllers.

Cornett said many of the devices addressed by the upgrade in NexID software can be used in situations where the person whose identity is being authenticated is alone and unsupervised. He notes that delivering high levels of security and convenience was a major goal behind the enhanced software.

The firm’s fake-finger-detection solution can also be used to supplement other factors of authentication, such as personal identification numbers (PINs) and passwords, or to replace PINs and passwords as a more convenient form of authentication, by way of unlocking a mobile device or using an ATM.

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