Door access control using human face and height

Authors:
R. H. Ma;Z. Y. Huang;H. X. Zhang;W. M. Huang
Affiliations:
A*STAR I2R, Kent Ridge, Singapore;School of Computing, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore;A*STAR I2R, Kent Ridge, Singapore
Venue:
EGMM'04 Proceedings of the Seventh Eurographics conference on Multimedia
Year:
2004

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Abstract

Access control has much attracted research interest recently. In this paper, we propose a method using human face and height as human trait to recognize a person. We observe that eye location extracted from a human face is sta-ble to be used to compute his/her height to the ground. Using it together with face recognition can increase the ac-curacy of the access control. We have implemented the method on a PC installed with a stereo camera. The design criteria, techniques, implementation details, and performance testing are presented. Keywords: 3D reconstruction, gradient descent method, biometric fusion, application.