Integrated Intelligent Research (IIR) International Journal of Data Mining Techniques and Applications Volume: 09, Issue: 01, June 2020, Page No.21-26 SSN: 2278-2419 21 Enhanced Hand Gesture Recognition In Augmented Reality Using Genetic Algorithm M.Sivaneshwari 1 , P.Prabhu 2 1 M.Phil. Research Scholar,Department of Computer Applications, Alagappa University, Karaikudi.Tamilnadu, India 2 Assistant Professor – DDE, Department of Computer Applications, Alagappa University, Karaikudi.Tamilnadu, India Email : sivaneshselvamsc@gmail.com, pprabhu70@gmail.com Abstract: Hand Gesture recognition is technology which interpret human gestures using various algorithms.Interpreting human hand gestures has various challenges and issues such as image noise,visibility and orientation. There are various kinds of computer based algorithms have been proposed in the literature to overcome these limitations and still needs improvement. Hence in this research work a new Hand Gesture(HG) recognition system for augmented reality using Genetic Algorithm (GA) and Artificial neural network algorithm (ANN) has been proposed.This shows that the experiment is successful and gesture recognition system is vigorous against various changes that are made in illumination changes and background changes. Experimental results show that the extracted features are effective, robust, and can cover the entire feature space of the selected gestures. This method satisfactory performance when compared with convensional methods. Keywords:Artificial neural network;GeneticAlgorithm;Hand Gesture Recognition; Human Computer Interaction; I. INTRODUCTION Recently gestures are mostly used as a communication media between Human and Machines(HMI) without any mechanical devices. Gestures can be basically classified as online and offline. Hand gesture recognision is one of the type of communication technique to provide meaningful information. The applications of hand gesture includes automated homes, robot control, games, defence, consumer electronics,unlocking smart phones,sign language interpreataion, Transit and switching channels without remote.The gestures recognition provides more accurate, high stability and time saving to unlock a device.The input devices used to capture the images includes stereo camera,wiredgloves,deapth-aware cameras and gesture based controllers. There are various types of gesture recognition algorithms have been proposed in the literature based on 3d model,appearance and skeletal. In this paper, an efficient and effective method based on GA and NN for hand gesture recognition is presented. The rest of the paper is organized as follows. In Section 2, the related works in the field of hand gesture recognition is discussed. In section 3 proposed GAHG method for hand gesture recognition is described in detail. In Section 4, the results from various simulations obtained and their performance of GAHG approach is evaluated on a data set of hand gestures. Then, GAHG method is compared with a state-of-art method[11] on another data set of hand gestures. Section 5 presents the conclusion and future works. II. RELATED WORKS AnkitChaudhary et.al.[1] Analysis the Hand gestures is the natural way of Human Machine interaction It enables human being to interact with machine very easily and conveniently without wearing any extra device. It can be applied form sign language recognition to robot control and from virtual reality to intelligent home systems. The Proposed are discussing work done in the area of hand gesture recognition where focus is on the soft computing based methods like artificial neural network, fuzzy logic and finite state machine. We also described hand detection methods in the preprocessed image for detecting the hand image. Arpita Ray Sarkar et.al. [2] Analysis Hand gesture recognition is the natural way of human interaction. Where focus on the soft