  Face detection is an important first step before face verification and
recognition. In unconstrained settings it is still an open challenge because of
the variation in pose, lighting, scale, background and location. However, for
the purposes of verification we can have a control on background and location.
Images are primarily captured in places such as the entrance to a sensitive
building, in front of a door or some location where the background does not
change. We present a correlation based face detection algorithm to detect faces
in such settings, where we control the location, and leave lighting, pose, and
scale uncontrolled. In these scenarios the results indicate that our algorithm
is easy and fast to train, outperforms Viola and Jones face detection accuracy
and is faster to test.
