Digital image processing remains a challenging domain of programming for several reasons. First the issue of digital image processing appeared relatively late in computer history, it had to wait for the arrival of the first graphical operating systems to become a true matter. Secondly, digital image processing requires the most careful optimizations and especially for real time applications. Science of image processing combines intuition and mathematics Aim of the project “Image Processing based smart system for Human Gesture Identification” is recognition of Human Gesture. Automatic analysis of facial gestures is an area of intense interest in the human-computer interaction design community. Gesture recognition is human interaction with a computer in which human gestures are recognized by the computer. The primary goal of gesture recognition research is to create a system which can identify specific human gestures and use them to convey information. Some of the important human gestures to be studied are:
1. Identification of face expressions. i.e. Happy, Angry, Sad etc.
2. Motion detection.
Mohit Arora
M.Tech Scholar, Shri U.S.B. College of Engineering and Management Abu Road, Mount Abu, Rajasthan, India
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Mohit Arora "Digital Image Processing Using Principle Component Analysis" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.1 issue 2, pp.03-05 2012