期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2016
卷号：5
期号：1
页码：31-38
出版社：IJCSN publisher
摘要：In this paper, gives both face detection and recognition techniques and developed algorithms for them. Face detection and recognition is challenging due to the Wide variety of faces and the complexity of noises and image backgrounds. For face detection, we have used Viola and Jones face detector based on the Haar-like features.There are three key contributions. The first contribution is a new a technique for computing a rich set of image features using the integral image. The second is a learning algorithm, based on AdaBoost, which selects a small number of critical visual features and yields extremely efficient classifiers. The third contribution is a method for combining classifiers in a cascade which allows background regions of the image to be quickly discarded while spending more computation on promising object-like regions. Further the algorithms that exist are very much specific to the kind of images they would take as input and detect faces. To detect faces we can put a number of simple rejection blocks in series, until we get the faces. Deeper the rejection block, more specifically it can be trained to eliminate non-faces
