Abstract: This survey presents a summary of the difficult field of static hand gesture recognition, that primarily consists of the popularity of well-defined signs supported a posture of the hand. Since human beings tend to differ in terms of size and shape the foremost difficult drawback consists of the segmentation and also the correct classification of the informationís gathered from the input image, captured byone or additional cameras. The aim of this paper is to indicate that techniques have with success been tested and employed in order to unravel the issues mentioned higher than yielding a strong and reliable static hand gesture recognition system.

Keywords: KSL, Image Capturing, ZM, PZM, HMM.