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VeriFinger 6.0 SDK for Fingerprint Recognition and VeriLook 3.2 SDK for Facial Recognition are Now Available
Date:4/14/2008

New Versions Support Development of Web-based Applications, Live Face

Detection and Incorporate MegaMatcher Core Algorithms for Reliable

Biometric Identification

VILNIUS, Lithuania, April 14 /PRNewswire/ -- Neurotechnology (formerly Neurotechnologija), a provider of high-precision biometric identification technologies, today announced the availability of two new biometric software development kits: VeriFinger 6.0 SDK for fingerprint recognition and VeriLook 3.2 SDK for facial recognition applications. Both versions incorporate the powerful core matching algorithms from Neurotechnology's MegaMatcher 2.0 multi-biometric SDK. VeriFinger 6.0 and VeriLook 3.2 enable the development of fast, reliable and cost-effective biometric identification systems for Windows, Linux and Mac OSX platforms. Both SDKs also now contain all the necessary technology for the development of Web-based biometric applications, including programming samples, tutorials and Web-intended concurrent licensing options. VeriFinger 6.0 and VeriLook 3.2 are fully compatible with MegaMatcher 2.0, both at the template and API levels.

"Many of our customers want to implement Web-based applications such as biometric signature or website logon, secure internet banking options or similar-face searches on social networking websites. Other customers are developing stand-alone PC applications that support access control, time and attendance or computer security," said Algimantas Malickas, CEO of Neurotechnology. "These customers are looking for the high level of reliability provided by MegaMatcher, but they do not want or need to invest in a large-scale AFIS or multi-biometric system. With the release of VeriFinger 6.0 and VeriLook 3.2 we can offer our customers the functionality of MegaMatcher's core matching algorithms in our competitively priced, single-biometric SDKs."

VeriFinger 6.0 provides both 1:1 verification and fast 1:many matching modes wit
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SOURCE Neurotechnology
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