期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：12
页码：9564-9567
出版社：IJECS
摘要：Over the recent years, a great deal of effort has been made to age estimation & gender recognition from face images. Ithas been reported that age can be accurately estimated under controlled environment such as frontal faces, no expression, and staticlighting conditions. However, it is not straightforward to achieve the same accuracy level in real-world environment because ofconsiderable variations in camera settings, facial poses, and illumination conditions. In this paper, we discuss different method toestimate age and gender predication
