TY  - JOUR
T1  - An Efficient Algorithm for Face Recognition in Mobile Environments
AU - , Yong-Hwan Lee AU - , Tae-Kyu Han AU - , Young-Seop Kim AU - , Sang-Burm Rhee 
JO  - Asian Journal of Information Technology
VL  - 4
IS  - 8
SP  - 796
EP  - 802
PY  - 2005
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2005.796.802
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2005.796.802
KW  - Face detection
KW  -skin color model
KW  -principal component analysis
KW  -support vector machine
KW  -image processing
KW  -mobile environment
AB  - We propose a new novel algorithm to be able to implement fast and accurate search for the characteristic points in a face without constraint background in mobile environments. We modify the approach of Skin Color Model, which uses Hough Transformation to extract the fitting ellipse for detection of the facial feature, spent 90% of a whole running time. To improve the performance of detection, especially processing time, a simple geometric mathematics is applied. Then, Eigenface and Support Vector Machine (SVM) are performed on the subspace of detected face region to verify the identification of users. Applying simple geometric algorithm in extracting the facial feature and the Region of Interest (ROI) to Principal Component Analysis (PCA) are of benefit to much computation time are saved, cause to reduce the quantity of processed dataset. In experiment results, proposed algorithm shows that it will be more suitable for application in undefined environments, where varying lighting conditions with complex backgrounds, according to be fast and accurate than any other previous methods.
ER  -