IJSTE - International Journal of Science Technology & Engineering | Volume 3 | Issue 03 | September 2016 ISSN (online): 2349-784X All rights reserved by www.ijste.org 103 SLIC based Hand Gesture Recognition with Artificial Neural Network Harpreet Kaur Er. Jyoti Rani PG Scholar Assistant Professor Department of Computer Science & Engineering Department of Computer Science & Engineering GZSCCCET, Bathinda, India GZSCCCET, Bathinda, India Abstract In the past years, the recognition of gesture feature has been glamour attention as a natural human. The communication system can build the human relationships. The mode of communication will be verbal and non-verbal. The non-verbal communication is helpful for deaf people and also helpful in surgeries, remote control etc. There is no need of peripheral device to interact with the computer. This paper mainly focuses on recognition of hand gesture on the basis of simple linear iterative clustering and the implementation is done with the artificial Neural Network. Initially, trained the data by creating a cluster of hand region using SLIC and extract the hand region of interest. After training phase the system is tested on 10 gesture classes and shows the 99.0% average accuracy and 0.219 seconds Recognition time and finally drawn the confusion matrix. Keywords: Artificial Neural Network, Hand Gesture Recognition, Simple Linear Iterative Clustering, Superpixel, Human Computer Interaction ________________________________________________________________________________________________________ I. INTRODUCTION The Human relationships can build by the communication system. It enables easy to exchange ideas, feelings, emotions, and endearment to other human beings. The communication plays a very vital role. A message is being formulated and transmitted to the person or persons whether we are talking, walking, playing, sitting, or even sleeping. Communication can be in verbal or non – verbal form [1]. The verbal or spoken communication is the combination of speaking and listening. In this communication, people can express their views by face to face, telephone, radio or television and other media. In the non-verbal mean, a person can express their thoughts by body language, gestures (Swearing at someone, smiling, nodding, leaning forward), posture (Standing in a certain way to express emotions. Example-eye contact and Facial expressions like Frowns, Smiling. In today’s era only 35% verbal communication and 65% non-verbal communication occurs in between the two persons as shown in fig.1. The Gun Shoot in the air is the example of non-verbal communication [2]. Fig. 1: Partition of Verbal and Non-Verbal Communication The word ‘Gesture’ means movement of the hand, arm, body, and head or face that is too expressive of an idea, opinion, emotions etc. The word ‘Recognition’ means to detect and identifying the objects in the digital medium. Fig. 2: Non-Verbal Communication This paper focuses on Hand gesture recognition the gesture recognition is in the form of Static and dynamic in nature. Generally the name suggests the static gesture recognition appeals that at the time of gesture period the hand position still remains constant. Static gesture based on the shape and flexural angles of the hand and dynamic refers that at the time of