• Deepali Garibdas Ganakwar
• Dr. Vipulsangram K. Kadam

Automatic face detection is one of the most active research area in computer vision literature because of challenging nature of face as an object with countless applications. The goal of this paper is to present a critical survey of existing literatures on human face detection systems. Face detection is a difficult task in image analysis which has each day more and more applications. We can define the face detection problem as a computer vision task which consists in detecting one or several human faces in an image. It is one of the first and the most important steps of Face analysis. In this paper we presented three methods of face detection, which are commonly used. As the number of proposed techniques increases, survey and evaluation becomes important.

Face detection, integral image, adaboost algorithm, deformal template

"A Survey of Various Face Detection Methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 2, page no.835-839, February-2018, Available :http://www.jetir.org/papers/JETIR1802139.pdf

"A Survey of Various Face Detection Methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 2, page no. pp835-839, February-2018, Available at : http://www.jetir.org/papers/JETIR1802139.pdf