Face Detection for Authentication using Haar Classifiers

Abstract

Face detection is the essential front end of any face recognition system, which locates and segregates face regions from cluttered images, either obtained from video or still image. It also has numerous applications in areas like surveillance and security control systems, content-based image retrieval, video conferencing and intelligent human-computer interfaces. It is a more reliable, fool proof alternative for image captcha or mail based authentication to prove that a human is using the system, hence making it less prone to security threats. Most of the current face recognition systems presume that faces are readily available for processing. However, in reality, we do not get images with just faces. We need a system, which will detect, locate and segregate faces in cluttered images.