I. Introduction
With the advanced technology available currently, hand gesture recognition is one of expedient computer vision applications that aimed to perform by in real-time systems [1]. To achieve the task of gesture recognition in video images, image processing and machine learning techniques are involved. The process can be decomposed from a very low-image processing procedures to a high level computation to understand hand gestures. The recognition is to assign a certain class of gesture types to an image extracted from the videos. There are three main processes that have been implemented to recognize hand gestures [1], [2], which are as follows: (1) image acquisition and hand detection, (2) feature extraction and (3) gesture recognition, can be performed by as a classification module that is aimed to classify the gesture into different types.