Title :
Profile Face Detection: A Subset Multi-Biometric Approach
Author :
Gentile, J.E. ; Bowyer, K.W. ; Flynn, P.J.
Author_Institution :
Univ. of Notre Dame, Notre Dame, IN
Abstract :
This paper presents a detection system which uses information from a profile face detector and an ear detector to better localize true profiles. The system was tested on data from a simulated security checkpoint. Drivers´ profiles were detected as their vehicles passed the camera. The detection rate for the multi-biometric detector is 95% with an average of 0.15 false detections per image. On the same data, a conventional detector had a detection rate of 97% with an average of 1.8 false detections per image. It is shown that a multi-biometric detector provides a performance boost over conventional detectors.
Keywords :
biometrics (access control); face recognition; object detection; ear detector; profile face detection; security checkpoint; subset multi-biometric approach; Cameras; Data security; Detectors; Ear; Face detection; Information security; Neural networks; System testing; Vehicle detection; Vehicle driving;
Conference_Titel :
Biometrics: Theory, Applications and Systems, 2008. BTAS 2008. 2nd IEEE International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4244-2729-1
DOI :
10.1109/BTAS.2008.4699376
