Using AEPI method for hand gesture recognition in varying background and blurred images

Due to the advancement in technology, new methods for human computer interaction are getting developed very rapidly. Interacting with computers or mobile devices through hand gestures is one of the important research area where researchers are trying to implement new user interfaces by applying various methods. The Hand Gesture Recognition system is useful to detect the gestures with the help of image capturing devices installed on computer and other gadgets. The rapid growth and improvement of mobile phones in past few years led to innovations in visualization and interaction with devices. Touchscreen gestures are widely used for interactivity in such devices but in near future the users may demand for more natural interaction methods. In this paper, the Accurate End Point Identification method is implemented and applied on gesture images which are captured in varying background and it is also applied on blurred images containing multiple objects. The AEPI method accurately recognizes the gestures from such images and provides a new dimension to implement user interface that will help to provide more natural inputs through hand gestures.