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 with enhanced fingerprint recognition reliability using the core AFIS matching engine from MegaMatcher. The VeriFinger 6.0 SDK supports up to 40 different scanners, can be used with different programming languages and database engines and allows for easy integration with existing security systems. The VeriFinger 6.0 Extended SDK contains a ready-to-use fingerprint matching server for Web-based or network applications.
New features in VeriLook 3.2 include live face detection technology, which is especially useful for Web-based applications, and multiple face template functionality, which increases recognition reliability by enabling a face template to be formed from multiple different images (such as frontal, turned head, and with or without a smile). Using a standard Webcam or security camera, VeriLook 3.2 can detect multiple faces in a single frame and process all of them simultaneously. The VeriLook 3.2 algorithm offers matching speeds of up to 100,000 faces per second. As with VeriFinger, VeriLook 3.2 supports a wide variety of programming languages and databases. The VeriLook 3.2 Extended SDK will also be released, with ready-to-use server technology for the development of Web-based or network applications.
With the release of VeriFinger 6.0 and VeriLook 3.2, Neurotechnology is offering new licensing options. Instead of the common core algorithm license offered with previous versions, VeriFinger and VeriLook will now have separate matcher and extractor licenses. This provides a more cost-effective option for customers who want to develop less expensive Web-based applications that only require one matcher license for the server, but multiple extractor licenses. An additional option now available is concurrent network licensing. This allows unlimited client component installation, but limits simultaneously running instances to the number of concurrent licenses obtained.
Neurotechnology is a provider of high-precision biometric fingerprint and face identification algorithms, object recognition and software development products. More than 1900 system integrators, security companies and hardware providers integrate Neurotechnology's algorithms and software development technologies into their own 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 & Technology (NIST)'s Fingerprint Vendor Technology Evaluation (FpVTE) and the International 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 under the name Neurotechnologija and released its first fingerprint identification system in 1991. Since that time the company has released more than 40 products and version upgrades for identification and verification of objects and personal identity. On April 14, 2008 the company announced an official name change to Neurotechnology. For more information, visit: www.neurotechnology.com.