Real-time face recognition demonstration
Hitoshi Imaoka, Yusuke Morishita, Akihiro Hayasaka · 2011
In recent years there have been great expectations of biometric authentication in view of increasing vicious crimes and terrorist threats. Face recognition is expected to be applied widely not only to security applications but also to image indexing and natural user interfaces. Accuracy of face recognition has been improved steadily in these years, but further improvements are demanded to meet performance requirements of these applications. We participated in Multiple Biometric Evaluation Still test conducted by National Institute of Standards and Technology (NIST) in 2010. In this evaluation, our algorithm achieved the best performance among all participants, with the highest identification rate of 95% among 1.8 million enrolled population, the lowest false match rate of 0.3% at false non-match rate 0.1%. In this demonstration, we show a real-time face recognition system using the above algorithm.