Morpho (Safran group) today announced that its fingerprint recognition algorithms have been ranked number one in the two most recent National Institute of Standards & Technology (NIST) MINEX II* (Match-on-Card) and Ongoing MINEX** evaluations. Morpho’s algorithms excelled in both accuracy and interoperability under all conditions.
Morpho’s technology previously demonstrated its superiority in the NIST ELFT-EFS*** and PFT**** evaluations. With these two additional achievements, Morpho further demonstrates the excellence of its fingerprint technology in all NIST evaluation programs conducted over the last few years.
“This success reflects our ongoing commitment to innovate and deliver best-in-class technology to our customers,” said Jean-Paul Jainsky, Chairman and Chief Executive Officer of Morpho.
“As Morpho’s subsidiary in the US, MorphoTrak is extremely pleased with the excellent results delivered by the US government’s top testing laboratory for fingerprint technology,” stated Daniel Vassy, President and CEO of MorphoTrak. “MorphoTrak is committed to advancing NIST biometrics standards and developing the innovative solutions to optimize them.”
The results of these evaluations are available on the NIST website at: http://www.nist.gov/itl/iad/ig/biometric_evaluations.cfm.
About Morpho
Morpho, a high-technology company in the Safran group, is one of the world’s leading suppliers of identification, detection and e-document solutions. Morpho is specialized in personal rights and flow management applications, in particular based on biometrics, a sector in which it is the world leader, as well as secure terminals and smart cards. Morpho’s integrated systems and equipment are deployed worldwide and contribute to the safety and security of transportation, data, people and countries.
For more information: www.morpho.com www.safran-group.com
*MINEX II: Minutiae Exchange
**Ongoing MINEX: Ongoing Minutiae Exchange
***ELFT-EFS: Evaluation of Latent Fingerprint Technologies – Extended Feature Sets (see press release)
****PFT: Proprietary Fingerprint Template
