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Facial recognition software at a US airport Automatic ticket gate with face recognition system in Osaka Metro Morinomiya Station. A facial recognition system [1] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces.
A simulation of Kenneth Okereafor's biometric liveness detection algorithm using a 3D multi-biometric framework consisting of 15 liveness parameters from facial print, finger print and iris pattern traits resulted in a system efficiency of the 99.2% over a cardinality of 125 distinct randomization combinations.
The Face system uses class-based scatter matrices to calculate features for recognition, and the Palm Vein acts as an unbreakable cryptographic key, ensuring only the correct user can access the system. The cancelable Biometrics concept allows biometric traits to be altered slightly to ensure privacy and avoid theft.
Face detection, often a step done before facial recognition; Face perception, the process by which the human brain understands and interprets the face; Pareidolia, which involves, in part, seeing images of faces in clouds and other scenes; Facial recognition system, an automated system with the ability to identify individuals by their facial ...
Fingerprint recognition is the most pervasive, old, simple, and cheap form of biometric technology. [2] Although palm vein recognition, iris recognition and face recognition have been implemented in schools, finger scanning is by far the most commonly used technology in the U.S. education market. [3]
The kiosk and gate system will allow all New Zealand and Australian electronic passport holders over 18 to clear passport control without needing to have their identity checked by a Customs officer. The system uses "advanced facial software" which "compares your face with the digital copy of your photo in your ePassport chip". [53]
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