News and insight into biometric identification and authentication

Ontario casinos’ facial recognition coming in spring

Wednesday, January 12, 2011

The Ontario Lottery and Gaming Corporation (OLG), a group that controls 27 gambling facilities in Ontario, Canada, is moving forward with plans to install facial recognition surveillance technology in all of its establishments by this spring, according to an article from The Star.

Unlike most surveillance technology in casinos, however, these systems are not designed for security purposes, but rather to help identify and remove problem gamblers before they are able to gamble.


Further, in an effort to keep their new systems as far from privacy invasion as possible, if a visitor’s face does not match one on file, the image is discarded from the system and those in the system are self-enrolled.

Other steps taken by OLG include an algorithm built into the systems software that disconnects images from collected biographical data so stolen or leaked images would be as useless to a fraudster as a simple photograph.

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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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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