Abstract: This paper presents a novel method for detecting human faces in an image with complex backgrounds. The approach is based on visual information of the face from the template image and is commenced with the estimation of the face area in the given image. As the genetic algorithm is a computationally expensive process, the searching space for possible face regions is limited to possible facial features such as eyes, nose, mouth, and eyebrows so that the required timing is greatly reduced. In addition, the lighting effects and orientation of the faces are considered and solved in this method. Experimental results demonstrate that this face detector provides promising results for the images of individuals which contain quite a high degree of variability in expression, pose, and facial details.

Golam Moazzam, Ms. Rubayat Parveen and Md. Al-Amin Bhuiyan, “Human Face Detection under Complex Lighting Conditions” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Image Processing and Analysis, 2011. http://dx.doi.org/10.14569/SpecialIssue.2011.010112

@article{Moazzam2011,
title = {Human Face Detection under Complex Lighting Conditions},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Image Processing and Analysis}
doi = {10.14569/SpecialIssue.2011.010112},
url = {http://dx.doi.org/10.14569/SpecialIssue.2011.010112},
year = {2011},
publisher = {The Science and Information Organization},
volume = {1},
number = {1},
author = {Golam Moazzam and Ms. Rubayat Parveen and Md. Al-Amin Bhuiyan},
}