A Review on Multiple Face Detection Techniques and Challenges

With prodigious growing in video and image databases, there is fabulous need of an automatic intelligent system which can understand and examine information in efficient way. So, such kind of system plays a major role in propagates and identifies the feeling of a multiple person face by machines. So, identifying of the techniques that classify and can be extracted the faces by face detection. It increases interest due to the crow of applications for face recognition and performance, such as video surveillance in image database management. Multiple face detection or identification is a simple and rapid biometric technology. And its application performs in security, health care, criminal identification and places where human recognition can perform. This paper presents a comprehensive review of different type of techniques. Which explored for multiple face detection in digital images? We have also discussed a comparative study between these techniques. These techniques are varying prominent to the way in which they extract the data and the adopted learning algorithms and their classifications. Further, we will also discuss different challenges and applications of multiple face detection and conclusion of this paper with several obligation directions for future research.