News and insight into biometric identification and authentication

Facial recognition software could expose more personal information

Wednesday, August 3, 2011

Can facial recognition software give away more details about you, like your Social Security number? Researchers at Carnegie Mellon think it can, reports PC Magazine.

A team lead by IT professor Alessandro Acquisti have developed a mobile app that draws on facial-recognition software, cloud computing and information from social networking sites to positively identify people. The team then used this app to identify people both online and offline, matching typical private data, like Social Security numbers, to the subjects.


Although the team did not reveal its methodology, this app could change the nature of personal information and what we know about each other.

Acquisti and his team will present their findings on August 4 at the Black Hat Technical Security Conference in Las Vegas.

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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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Nevada-based multimodal biometric authentication provider BioID has announced that its webcam-based biometric recognition product can now be used for authentication to Intel’s Cloud SSO and McAfee’s Cloud Identity Manager products.

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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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