Cognitec integrates new algorithm in facial recognition product for greater performance

February 11, 2015 - 

Cognitec has released its facial recognition engine B9 and integrated the algorithm in its facial recognition product, FaceVACS-DBScan.

In researching and developing the B9 algorithm, Cognitec focused mainly on significantly improving the performance rate of images with low resolution or have been taken in less controlled environments, which are often found in police databases.

The company also found that the matching accuracy increased for images with non-frontal poses, with faces turned upward, downward or to the side.

FaceVACS-DBScan enables users to crosscheck still images from different sources against those stored in databases containing millions of image and instantly view match lists.

The application has become a helpful tool for ID management, allowing passport, visa and national ID agencies to compare new facial images to existing databases, spot duplicates and errors, and prevent identity fraud.

Additionally, Cognitec recently released a mobile version of the Examiner tool within FaceVACS-DBScan designed for law enforcement agencies.

As a result, police officers and other agents are able to take photos in the field and compare them to mug shot repositories or other databases to instantly receive candidate lists on their mobile devices.

Previously reported, Cognitec Systems licensed its facial recognition software to Intel Corporation, which will enable the company to use face recognition for access control on electronic devices.

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About Stephen Mayhew

Stephen Mayhew is the publisher and co-founder of Biometrics Research Group, Inc.. His experience includes a mix of entrepreneurship, brand development and publishing. Stephen attended Carleton University and lives in Toronto, Canada. Connect with Stephen on LinkindIn.