Programs
- M. Tech. in Automotive Engineering -
- B. Sc. Clinical Nutrition, Dietetics, and Food Science - Undergraduate
Publication Type : Conference Paper
Publisher : International Journal of Innovative Research and Development
Source : International Journal of Innovative Research and Development, Vol 3 Issue 12,p.no:158-163
Url : http://52.172.159.94/index.php/ijird/article/view/57734
Campus : Coimbatore
School : School of Engineering
Department : Computer Science and Engineering
Year : 2014
Abstract : Face detection and Gender classification is a very hot research topic in the fields of pattern recognition and computer vision. Face detection is based on identifying and locating a human face in the image, regardless of position, size, and condition. In this paper, we present an algorithm that comprises of two parts, Face detection and Gender classification which are based on haar features and Hierarchical clustering technique. We present experimental results of our algorithm for multi face images.
Cite this Research Publication : Lavanya Mooram and S. Sunita, An Efficient Hierarchical Based Multi Face Detection and Gender Identification System, International Journal of Innovative Research and Development, Vol 3 Issue 12,p.no:158-163, November 2014.