Eyelock patents technology for predicting timing for quality iris images

April 27, 2017 - 

EyeLock has been 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.

As noted in the application for U.S. Patent No. 9,633,260, the invention uses conditions about the iris to predict an upcoming time window during which there is a high probability that quality iris images can be acquired for biometric purposes.

During this limited timeframe, a limited number of images with higher quality scores are retained in memory for further processing.

“Our latest patent – the company’s 47th – contributes to the performance and strength of EyeLock’s capabilities and intellectual property in the mobile space,” said Jim Demitrieus, CEO of EyeLock. “This patent complements EyeLock’s recently issued U.S. Patent No. 9,626,563.”

The application also notes that the technology does not require autofocus functions that often trail user movements and are unable to achieve good image focus.

The invention assesses acquired images in real time to retain one or more images with better quality scores in relation to the extent an imaged iris is exposed and in-focus.

The patent also supports mobile or other applications where biometric acquisition may coincide with eye-blinking or is susceptible to motion blur as a result of user movements during the time of the acquisition.

The application notes that the support for mobile or other applications where the device memory available for retaining images is often limited.

To a further extent, the technology supports mobile or other applications where biometric acquisition may coincide with eye-blinking or is susceptible to motion blur as a result of user movements and where device memory for holding images is often limited.

Earlier this month, EyeLock was granted a patent for an invention that selects images with the best iris-related quality metrics to hold in memory for further processing.

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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.