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MegaMatcher and VeriFinger SDK Fingerprint Compression Algorithms Receive WSQ Certification from FBI Biometric Center of Excellence
Date:7/28/2011

VILNIUS, Lithuania, July 28, 2011 /PRNewswire/ -- Neurotechnology, a provider of high-precision biometric identification technologies, today announced that MegaMatcher and VeriFinger SDK fingerprint compression algorithms have received WSQ Certification. This means that the FBI has certified that these implementations meet the accuracy requirements in the Wavelet Scalar Quantization (WSQ) Gray-Scale Fingerprint Image Compression Specification, Version 3.1. Neurotechnology is among the first companies to receive FBI certifications for Version 3.1 of the WSQ, which is the latest standard for exchange of fingerprint images within the biometrics and criminal justice community. According to the FBI, the certification program is designed to facilitate interoperability between agencies and ensure efficient access to FBI criminal justice information services. Also WSQ certification is required by customers in many other countries and is included in various national-scale AFIS tender requirements. Neurotechnology has received a total of seven FBI WSQ certificates for different platform implementations, certifying that WSQ compression technology in MegaMatcher and VeriFinger SDKs meet FBI standards.

"Interoperability and biometric standards support is a critical requirement for large-scale biometric applications," said Irmantas Naujikas, business development director for Neurotechnology. "At Neurotechnology we are continuously working in this area and WSQ 3.1 certification by the FBI acknowledges our efforts. Having a product certified for all major PC platforms is very big competitive advantage for our customers."

The WSQ Specification sets the standard for the exchange of 8-bit, 500ppi fingerprint images by defining a class of encoders and a decoder that is capable of decoding compressed image data from any compliant encoder. To obtain the certification, a
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