Abstract
This research features a real-time face detection and recognition system named PrimeEye. The purpose of the system is for access control to a building or an office. The main feature of the system is face detection and face recognition robust to illumination changes. A simple adaptive thresholding technique for skin color segmentation is employed to achieve robust face detection. The system is also capable of operating in two different modes for face recognition: under normal illumination condition and under severe illumination changes. The experimental results show that the SKKUfaces method is better than the Fisherfaces method in the case of severe illumination changes. In the normal illumination condition, the Fisherfaces method is better than the SKKUfaces method.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
R.S. Berns, Principles of Color Technology, John Wiley & Sons Inc., pp. 22–23, 2000.
P. Belhumeur, J. Hespanha, and D. Kriegman, Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection, IEEE Trans. on PAMI, vol.19,no. 7, pp. 711–720, 1997.
M. Turk and A. Pentland, Eigenfaces for Recognition, Journal of Cognitive Neuroscience, vol. 3,no. 1, pp. 71–86, 1991.
M. Kirby and L. Sirovich, Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces, IEEE Trans. on PAMI, vol. 12, no.1, pp. 103–108, 1990.
K. Etemad and R. Chellappa, Discriminant Analysis for Recognition of Human faces image, Journal of Optical Society of America, vol. 14,no. 8, pp. 1724–1733, 1997.
J. Yi, H. Yang and Y. Kim, Enhanced Fisherfaces for Robust Face Recognition, Lecture Notes in Computer Science, Vol. 1811, pp. 502–511, 2000.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Choi, J., Lee, S., Lee, C., Yi, J. (2001). PrimeEye: A Real-Time Face Detection and Recognition System Robust to Illumination Changes. In: Bigun, J., Smeraldi, F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45344-X_53
Download citation
DOI: https://doi.org/10.1007/3-540-45344-X_53
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42216-7
Online ISBN: 978-3-540-45344-4
eBook Packages: Springer Book Archive