Biometric Quality: Review and Application to Face Recognition with FaceQnet

Understand

"The output of a computerised system can only be as accurate as the information entered into it." This rather trivial statement is the basis behind one of the driving concepts in biometric recognition: biometric quality.

• Quality is nowadays widely regarded as the number one factor responsible for the good or bad performance of automated biometric systems.
• It refers to the ability of a biometric sample to be used for recognition purposes and produce consistent, accurate, and reliable results.
• Such a subjective term is objectively estimated by the so-called biometric quality metrics.