Static Hand Gesture Recognition using Freeman Chain Code and Neural Network

Abstract

In recent years, much effort is done to provide better way to communicate with other systems. One of them is to
provide interactive way to give commands to other systems. The best way to do so is using our hands to give commands.
In order to do so, computer system needs to understand the hand signals. The field of image processing gives us the
capability to achieve this goal. In past years many research was done to create such system. In this paper, we discuss
various aspects of hand gesture recognition along with the limitations and remedies to overcome them. The purpose of
this paper is to develop a way that overcomes some limitations and increase the efficiency. However many research is
done to achieve this goal yet have some limitations. We analyze these research in literature survey and address to them.
We have detected hand based on skin pixels. Then hand contour is created from wh ich hand signature (chain code) is
generated. Based on this signature, hand gesture is recognized using Neural Network.