Embedded Fingerprint and Face Biometrics Are Suitable for Use in Smartphones and Mobile Devices
Vilnius, Lithuania /PRNewswire/ - Neurotechnology, a provider of high-precision biometric identification technologies, today announced their new line of embedded biometric technologies, including VeriFinger Embedded SDK for fingerprint biometrics, VeriLook Embedded SDK for face biometrics and MegaMatcher Embedded SDK for multi-biometric systems using face and fingerprints in combination. The embedded versions are designed for use in low-power, compact and/or mobile devices such as smartphones, tablets, handheld computers and other embedded devices. The new products contain the same fast, highly reliable algorithms as the PC-based versions of VeriFinger, VeriLook and MegaMatcher, which ensures AFIS-level recognition quality and suitability for use in large-scale applications.
VeriFinger Embedded and VeriLook Embedded can process fingerprint or face images in less than one second using a device with a 1GHz or better processor. The first available release of the new MegaMatcher Embedded product includes VeriFinger and VeriLook fingerprint and face biometric algorithms, and versions incorporating iris and voice biometrics are planned in the coming months.
"Supporting mobile platforms is becoming significantly more important for biometric applications," said Pavel Cuchriajev, software development manager for Neurotechnology. "At Neurotechnology we are proud that our major product line now supports the Android development environment. We believe this opens up new possibilities for our integrators, not only for developing creative and elegant end-user biometric solutions for mobile devices but also for developing enterprise level mobile-client solutions by combining the existing MegaMatcher SDK and the newly released MegaMatcher Embedded SDK products," Cuchriajev added.
The new embedded line of products uses the same API and biometric templates as the PC versions of VeriFinger, VeriLook and MegaMatcher, allowing faster and easier migrations from PC to embedded applications or vice-versa. VeriFinger Embedded supports AuthenTec EikonTouch, Eikon II, and Eikon Solo USB fingerprint readers, plus the full line of TouchChip and swipe sensor modules with embedded TCD5x processor (root access required) and BLUEFiN Bluetooth fingerprint scanners from Toplink Pacific Pte Ltd. VeriLook Embedded supports video cameras integrated into Android devices. MegaMatcher Embedded provides the same level of support for input devices as the single biometric versions.
All three embedded products are designed for the Java development environment and support the Android operating system, version 2.2 or above. Support for ARM Linux and WinCE operating systems will be available in future versions. Because the original VeriFinger and VeriLook algorithms are used, the new embedded products provide higher recognition quality and interoperability compared to Neurotechnology's previous embedded products.
Future development plans for the Neurotechnology embedded product line include support for client/server application development as well as support for the native C language development environment, which is particularly useful for device manufacturers who require low-level biometric capabilities for drivers, kernel modules, etc.
VeriFinger Embedded, VeriLook Embedded and MegaMatcher Embedded SDKs are available through Neurotechnology or from distributors worldwide. For more information, go to: http://www.neurotechnology.com.
Neurotechnology is a provider of high-precision biometric fingerprint, face, iris, palmprint and voice identification algorithms, object recognition technology and software development products. More than 2500 system integrators, security companies and hardware providers integrate Neurotechnology's algorithms into their products, with millions of customer installations worldwide.
Neurotechnology's identification algorithms have consistently earned the highest honors in some of the industry's most rigorous competitions, including the National Institute of Standards and Technology (NIST)'s Fingerprint Vendor Technology Evaluation (FpVTE), the Iris Exchange (IREX) and the Fingerprint Verification Competitions (FVC).
Drawing from years of academic research in the fields of neuroinformatics, image processing and pattern recognition, Neurotechnology was founded in 1990 in Vilnius, Lithuania and released its first fingerprint identification system in 1991. Since that time the company has released more than 60 products and version upgrades for identification and verification of objects and personal identity.