News and insight into biometric identification and authentication

Researchers developing facial recognition system to catch criminals

Wednesday, October 12, 2011

Researchers from the University of Notre Dame have begun researching a facial-recognition-based system they are calling a Questionable Observer Detector that would be able to identify criminals returning to the scene of the crime, according to a Network World article.

The idea for looking into such a system struck Kevin Bowyer, a professor of computer science and engineering at the university, after listening to military and national security experts discuss the need for identifying known bomb makers in the Middle East.


Bowyer, with his fellow researchers professor Patrick Flynn and doctoral student Jeremiah Barr, have previously worked in biometrics studying identification via facial photographs, face thermographs, iris recognition and gait biometrics. The new system utilizes video surveillance that would identify people who are in multiple videos of the site of a crime and mark their facial biometrics so that officials would be alerted should they be seen in the same surveillance system again.

The researchers are aware that the Questionable Observer Detector comes with potential civil liberty concerns, but expect the technology’s upside both as a tool for military personnel as well as for local police agencies is too high to ignore.

Read the full story here[end] 

DigitalPersona Inc. released a new version of its DigitalPersona Pro Enterprise software that includes facial recognition as a method for authentication.

Facial recognition can now be combined with fingerprint biometrics, passwords, PINs, proximity cards, smart cards and OATH tokens for a multi-factor authentication solution. Policy creation and enforcement works through a client’s existing Active Directory infrastructure.

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Australia’s Immigration Ministry has implemented the use of biometric recognition tools such as facial scans, fingerprints and DNA to fight fraudulent visa applications, reports The Daily Telegraph.

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FingerTec USA has expanded its line of fingerprint time clock software systems with the Face ID 3, which utilizes facial recognition capability.

Face ID 3 is a contact-free computer timeclock that can be used in business or home environments. The system weighs about four pounds and uses facial recognition plus a network of infrared scanners for a surface texture analysis (STA) algorithm.

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Three University of California, Riverside scholars have received a $25,000 grant from the National Endowment for the Humanities to launch a program that will use facial recognition software to identify unknown subjects in portrait art.

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