September 13, 2012 -
DigitalPersona, Inc., a global provider of biometrically enabled authentication and access management solutions, announced the availability of its new software development kits. The new kits are highly interoperable, standards-based development tools, enabling system integrators to easily add fingerprint biometrics into a variety of civil ID and commercial applications.
Entitled “U.are.U”, the kits are available for Windows, Linux and Windows CE. Along with support for verification use cases, the U.are.U software development kits offer native implementation of 1:N identification. The U.are.U SDKs also support ARM architectures, allowing DigitalPersona U.are.U 4500 fingerprint readers to be integrated into embedded CE and Linux applications with smaller form factors.
“Our U.are.U SDKs have a track record of being effective tools for use in developing biometrically-enabled civil ID and commercial applications,” said Chris Trytten, director of biometrics product management at DigitalPersona. “The market is maturing and customers are looking for a new approach that is standards based, forward thinking and secure. The launch of our next-generation family of U.are.U SDKs gives our customers the interoperability, quality and ease of integration they need to ensure their voting, entitlement and commercial applications operate without fraud.”
As governments in emerging countries work to fight voting and entitlement fraud to spur economic growth and provide political stability, interest in using biometrics as a portable form of identification in civil ID programs continues to grow. To guarantee quality and interoperability, these countries are embracing established standards and certifications from the International Standards Organization and United States government agencies, including the Federal Bureau of Investigation, the National Institute of Standards and Technology and the American National Standards Institute.
The new DigitalPersona U.are.U software development kits offer support for standards defined by these agencies, such as the ISO 19794-4 fingerprint image standard, ANSI/INCITS 381-2009 data interchange format, Minex Feature Extractor Certification, Wavelet Scalar Quantization (WSQ) and NIST Fingerprint Image Quality (NIFQ).