Abstract
This paper proposes an intensity and size invariant real time computer vision-based face recognition approach. With this method, human facial area(s) are first detected automatically from real-time captured images. The images are then normalized using histogram equalization and contrast stretching. Finally face is recognized using eigenfaces method. This proposed method is camera to face distance invariant as well as intensity invariant. The effectiveness of this method was demonstrated using both static and dynamic images. The average precision and recall rate achieved by the proposed method is above 90%.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Rizvi, S.A., Phillips, P.J., Moon, H.: A verification protocol and statistical performance analysis for face recognition algorithms. In: IEEE Proc. Conf. Computer Vision and Pattern Recognition (CVPR), Santa Barbara, pp. 833–838 (1998)
Chellappa, R., Wilson, C.L., Sirohey, S.: Human and Machine Recognition of Faces: A Survey. Proceedings of the IEEEÂ 83(5) (1995)
Goldstein, A.J., Harmon, L.D., Lesk, A.B.: Identification of human faces. Proc. IEEE 59, 748–760 (1971)
Haig, N.K.: How faces differ - a new comparative technique. Perception 14, 601–615 (1985)
Rhodes, G.: Looking at faces: First-order and second order features as determinants of facial appearance. Perception 17, 43–63 (1988)
Bledsoe, W.W.: The model method in facial recognition. In: CAPRI, vol. 15, Panoramic Research, Inc., Palo Alto (1966)
Zhao, W., Chellappa, R., Rosenfeld, A., Phillips, P.J.: Face Recognition: A literature Survey. Technical Report, Univ. of Maryland (2000)
Sirovich, L., Kirby, M.: Low-dimensional Procedure for the Characterization of Human Faces. Journal of the Optical Society of America 4(3), 519–524 (1987)
Terzopoulos, D., Waters, K.: Analysis of facial images using physical and anatomical models. In: Proc. 3rd Int. Conf. on Computer Vision, pp. 727–732 (1990)
Turk, M., Pentland, A.: Eigenfaces for Recognition. Journal of Cognitive Neuroscience 3, 71–86 (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sabrin, K.M. et al. (2009). An Intensity and Size Invariant Real Time Face Recognition Approach. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2009. Lecture Notes in Computer Science, vol 5627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02611-9_50
Download citation
DOI: https://doi.org/10.1007/978-3-642-02611-9_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02610-2
Online ISBN: 978-3-642-02611-9
eBook Packages: Computer ScienceComputer Science (R0)