A New Algorithm for Hand Gesture Recognition in Color Videos for Operating System Commands

In recent years, human-computer interaction and machine vision have become two of the favorite research areas in computer science. This paper is research on hand motion and hand gesture recognition using image processing techniques to control some system commands. Different hand motion and gesture recognition methods have been considered by researchers for use in computer systems, video game consoles, and mobile devices. In such cases, hand motion or hand gesture type is detected by tracking the hands' image or by matching the image with gestures storing in the database, after the first position of the hand is identified. In this paper, we provide an efficient way for recognizing and tracking the sequences of image frames. The main objective of this paper is to provide an efficient method for hand recognition in crowded environments, without any restrictions. The frames can be received from a video file. In the first frame, the location of the hand is recognized using color analysis, then it would be compared to the next frames. Detected movements are applied for controlling commands in an operating system. So far, an effective way for this kind of problem has not been suggested. In this study, we have tried to propose an efficient algorithm that is less dependent on background and lighting conditions. We tested the proposed method on several captured videos using the Image Processing Toolbox of MATLAB. These videos are captured in very crowded environments. The presented results showed that in different lighting conditions and various noises, the proposed method works almost without mistakes.