Many researchers work on enhancement of Human Computer Interaction methods and try to make it
more natural and intuitive. This includes researches in: understanding human languages, gestures
recognition and brain signals recognition. But the heavy
use of hands in human everyday life makes hand
recognition and tracking researches very important.
In this paper, we present a novel method to recognize and track a human hand moving in front of digital
camera in an unknown environment without any constraints on fingers positions or hand gesture and with
no need to wear any additional devices like gloves or markers. Our method can distinguish between hand
and other moving objects especially faces, by applying some proposed criteria to determine which object is
representing the hand. A practical study is performed to evaluate the performance of the proposed
method. Hand interactive virtual TV is made as a realistic application to report users experiences. Results
show that our proposed method can recognize human hand at real-time with 99% accuracy rate in
normal indoors light.
