Paper-04 | Reg. No.:20140904|DOI:V3I2P04
Performance Evaluation of Different Hand Gesture Recognition Techniques
Ms. Ann Abraham Babu1, Mr. Satishkumar Varma2, Mrs. Rupali Nikhare3,PIIT, Mumbai University, Maharashtra, India.
Hand gesture recognition is the growing field of research. Being a significant part in non verbal communication hand gestures are playing an important role in our daily life. Hand gesture recognition system provides an innovative, natural, user friendly way of interaction with the computer which is more familiar to the human beings. Hand gesture recognition process includes capturing input image which will be processed and segmented so as to extract features to identify different gestures. A survey on the methods of recognizing different hand gestures for human computer interaction is presented in this paper. The techniques discussed are based on detection of some shape based features like centroid, orientation of hand, presence of finger, thumb in image and contour based features like convex hull and convexity defects. The methods explain how the user’s hand is detected and also explain applications that can take advantage of this type of interaction mechanism.