Wednesday, January 11, 2012

Neurotechnology Develops Biometric Technologies for Low-Power Android Devices

A software development and algorithms developer for biometric, voice and object recognition technologies, Neurotechnology has expanded its biometric technologies offering to include the VeriFinger Embedded SDK, the VeriLook Embedded SDK and the MegaMatcher Embedded SDK (software development kit) for finger biometrics, facial biometrics and multi-biometric systems, respectively.

The latest embedded biometric technologies developed by Neurotechnology have been designed specifically for mobile platforms such as compact, low-power devices like handheld computers, smartphones and tablets. These advanced products incorporate the same algorithms as the PC counterparts of MegaMatcher, VeriLook and VeriFinger, thus ensuring AFIS (Automated Fingerprint Identification System)-level accuracy in terms of recognition quality and usage.

With a 1 GHz processing speed, it hardly takes a second for VeriLook Embedded or VeriFinger Embedded to process and identify face images or fingerprints. The initial release version of MegaMatcher Embedded includes both VeriLook and VeriFinger biometric algorithms. Subsequent versions of the MegaMatcher will include voice and iris biometrics as well. The embedded technologies require the same biometric templates and API as their PC counterpart, thus enabling easier and faster migration to embedded applications. They support Android operating system version 2.2 or higher. Neurotechnology will also enable support for WinCE and ARM Linux operating systems.

The software development manager, Pavel Cuchriajev stated that since mobile platform support is crucial to biometric applications, the new embedded product line has been developed to support the Android platform. Cuchriajev added that this new feature opens several opportunities for development of end-user biometric solutions.

VeriLook Embedded, VeriFinger Embedded and MegaMatcher Embedded are available as a software development kit that can support web-based or stand-alone biometric solutions for devices running on the Android OS.

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