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February 19, 2008

Sagem Morpho Passes NIST Fingerprint Algorithm Testing with Flying Colors

By Divya Narain, TMCnet Contributing Editor


National Institute of Standards and Technology (NIST) recently announced the results of the Minutiae Interoperability Exchange Test (MINEX) II Performance of Fingerprint Match-On-Card (MOC) Algorithms.
 
The results were released by the Information Access Division of the NIST. The MOC performance of Sagem Morpho, Inc., was found to be the “most accurate Match-On-Card implementation” of all participants. Sagem was the only one that measured up to the standards of federal programs such as the U.S. Government’s PIV and TWIC programs.



 
“Our Match-On-Card algorithms not only exceed the MOC requirements for programs like PIV and TWIC, but also surpass the performance of most PIV compliant match on device solutions,” said Consuelo Bangs, FIPS 201 Program Manager at SMI. “SMI’s MOC algorithms were more than twice as accurate as the other submissions, while providing unrivalled interoperability.”
 
The NIST MINEX II testing indicates superior accuracy, speed and interoperability of the Sagem fingerprint Match-On-Card algorithms. Sagem algorithms have already proved their worth in the MINEX I (match on device) test of 2004. The full NIST MINEX I and II reports are available at http://fingerprint.nist.gov/minex04/ and http://fingerprint.nist.gov/minexII/minex_report.pdf respectively.
 
SMI’s MOC algorithms achieved very low error rates, indicating superior interoperability. The Sagem MOC matcher was able to perform the match with a 1 percent or lower error rate, irrespective of which of the 19 approved manufacturers created the reference template.
 

Don’t forget to check out TMCnet’s White Paper Library, which provides a selection of in-depth information on relevant topics affecting the IP Communications industry. The library offers whitepapers, case studies and other documents which are free to registered users. Today’s featured white paper is The New New Thing: “Hybrid” Deployments for Speech, brought to you by Voxify.

 
Divya Narain is a contributing editor for TMCnet. To read more of Divya’s articles, please visit her columnist page

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