Title :
Non-intrusive Iris Image Capturing System Using Light Stripe Projection and Pan-Tilt-Zoom Camera
Author :
Yoon, Sowon ; Jung, Ho Gi ; Suhr, Jae Kyu ; Kim, Jaihie
Author_Institution :
Yonsei Univ., Seoul
Abstract :
This paper proposes non-intrusive iris image capturing system, which consists of pan-tilt-zoom camera and light stripe projection. Light stripe projection provides the position of user. After panning according to user´s position, AdaBoost-based face detection finds tilt angle. With user´s position and tilt angle, zoom and focus position are initialized. User´s position replaces 2D face search with ID face search. Exact zoom and focus position enable fast control and narrow search range. Consequently, experimental results show that proposed system can capture iris image within acceptable time.
Keywords :
cameras; face recognition; image sensors; object detection; 2D face search; AdaBoost-based face detection; ID face search; light stripe projection; nonintrusive iris image capturing system; pan-tilt-zoom camera; Biometrics; Cameras; Face detection; Focusing; Image sensors; Iris recognition; Lenses; Robustness; Throughput; Waveguide discontinuities;
Conference_Titel :
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-1179-3
Electronic_ISBN :
1063-6919
DOI :
10.1109/CVPR.2007.383379