Neurotechnology released MegaMatcher 4.0, a multi-biometric software development kit (SDK) that integrates fingerprint, iris, facial and palmprint biometrics in a single, high-performance SDK that requires no add-ons.
In MegaMatcher 4.0, Neurotechnology has incorporated palmprint technology along with the latest versions of their VeriFinger (fingerprint), VeriEye (iris) and VeriLook (facial) biometric SDKs – all of which are now built on a common architecture and feature a common programming interface.
This tight integration enables developers and integrators to more quickly and easily develop systems that use any of the different biometric components singularly or in combination for increased flexibility and reliability.
The new product line of VeriFinger, VeriEye and VeriLook SDKs, which are available separately as well as being components of MegaMatcher, offer a number of enhancements over previous versions. Among the significant changes is the new complete MegaMatcher SDK API for Java, which allows tighter integration with common Java development environments and provides the same full support of MegaMatcher SDK functionality as for the .NET Framework and C/C++.
The new device management component provides the same cross-platform API on Windows, Mac and Linux platforms and is consistent for C/C++, .NET Framework and Java programming languages for all supported devices: single flat, rolled and multi-finger scanners, palmprint scanners, iris scanners and cameras.
Neurotechnology worked side by side with device vendors to integrate both new and old devices with this new component, ensuring stability and integration. Other changes in MegaMatcher SDK include improved WSQ support.
The new VeriEye 2.3 algorithm provides a 70% increase in iris matching speed while keeping the same high level of reliability as the previous version.
The VeriLook 5.0 facial identification algorithm offers even higher reliability than version 4.0, with a 20% to 50% decrease in the False Rejection Rate comparatively.
VeriFinger 6.3 increases reliability with a new fingerprint segmentation component that provides a 20x decrease in the segmentation error rate with a simultaneous 10x increase in segmentation speed.