An Intensity and Size Invariant Real Time Face Recognition Approach

Authors:
Kaeser Md. Sabrin;Tao Zhang;Song Chen;Md. Nurul Tawhid;Md. Hasanuzzaman;Md. Haider Ali;Haruki Ueno
Affiliations:
University of Dhaka, Dhaka, Bangladesh;Department of Automation, Tsinghua University, Beijing, China 100084;Department of Automation, Tsinghua University, Beijing, China 100084;University of Dhaka, Dhaka, Bangladesh;University of Dhaka, Dhaka, Bangladesh;University of Dhaka, Dhaka, Bangladesh;National Institute of Informatics, Tokyo, Japan
Venue:
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Year:
2009

Citing 2
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A Verification Protocol and Statistical Performance Analysis for Face Recognition Algorithms

CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Eigenfaces for recognition

Journal of Cognitive Neuroscience

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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%.