EyeLock issued patent for single camera system to acquire iris and face biometrics

May 10, 2017 - 

EyeLock has been issued U.S. Patent No. 9,646,217 relating to a single camera system designed to acquire iris and face image biometrics by adjusting the lighting between the two acquisitions.

“Our latest patent continues to strengthen EyeLock’s position in the mobile and broader Internet of Things (IoT) sectors,” said EyeLock CEO Jim Demitrieus. “The compact design of this solution leverages a single camera component to perform multiple functions, resulting in a lower total cost to Original Equipment Manufacturers (OEMs) and increased capabilities for end-users.”

Demitrieus said the patented technology uses a single image sensor to acquire a face image and an iris image suitable for iris recognition.

The system is able to adjust to suitable lighting levels based on the distance between the subject and the sensor, even when the two types of images are taken in quick succession.

Next, the system links the face image to the iris image, which allows the face image to be used for liveness confirmation of the iris biometrics.

Finally, the system acquires the face image to serve as a biometric deterrence as well as provides the option of storing the face image for future dispute resolution.

EyeLock’s algorithm performance capabilities for speed and accuracy have been validated by Novetta’s independent biometric tests as unmatched in the market.

The company’s reference designs have working distances of up to 60 cm with a false accept rate of 1 in 1.5 million for single eye authentication and a false reject rate of less than 1 percent.

Last month EyeLock was issued a U.S. patent relating to technology that uses conditions of the iris to predict a time sequence for acquiring a high probability of quality iris images.

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About Justin Lee

Justin Lee has been a contributor with Biometric Update since 2014. Previously, he was a staff writer for web hosting magazine and website, theWHIR. For more than a decade, Justin has written for various publications on issues relating to technology, arts and culture, and entertainment. Follow him on Twitter @BiometricJustin.