Hand Gesture Recognition

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GRD Journals- Global Research and Development Journal for Engineering | Volume 5 | Issue 4 | March 2020 ISSN: 2455-5703

Hand Gesture Recognition T. Ranjith Kumar Student Department of Information Technology Coimbatore Institute of Technology, Coimbatore, India

G. Vijaya Kumar Student Department of Information Technology Coimbatore Institute of Technology, Coimbatore, India

K. S. Praveenraaj Student Department of Information Technology Coimbatore Institute of Technology, Coimbatore, India

Mr. C. Murale Assistant Professor Department of Information Technology Coimbatore Institute of Technology, Coimbatore, India

Abstract Pattern matching and Gesture Recognition are the most rapidly growing fields of research industry. Being a part in non-verbal communication hand gestures are playing a vital role in real life environment. Main objective of this project is to provide the physically challenged users a better way to interact with normal peoples. Hand gesture recognition is such a research field area which includes pre-processing and segmentation, orientation detection, feature extraction and classification. In the field there are many algorithms that exist to analyzing the image. It presents the hand gesture to detect and classify the various kinds of finger symbols and displays the corresponding information. The system employs the hand gestures that are captured using webcam and using thresholding and 2D filtering techniques the captured images are segmented as binary images. Then these images are processed further and the features are extracted and get the corresponding information. Keywords- Image Processing, Human Computer Interaction, Video Processing, Blob Detection

I. INTRODUCTION Gesture and Gesture recognition terms are heavily encountered in human computer interaction. Gestures are the motion of the body or physical action form by the user in order to convey some meaningful information. Gesture recognition is the process by which gesture made by the user is made known to the system. Through the use of computer vision or machine eye, there is great emphasis on using hand gesture as a substitute of new input modality in broad range application with the development and realization of virtual environment, current user-machine interaction tools and methods including mouse, joystick, keyboard and electronic pen are not sufficient. Hand gesture has the natural ability to represents ideas and actions very easily, thus using these different hand shapes, being identified by gesture recognition system and interpreted to generate corresponding event, has the potential to provide a more natural interface to the computer system. This type of natural interaction is the core of immersive virtual environments. If we ignore the world of computers for a while and consider interaction among human beings, we can simply realize that we are utilizing a wide range of gestures in our daily personal communication. By the fact it is also shown that people gesticulate more when they are talking on telephone and are not able to see each other as in face to face communication. The gestures vary greatly among cultures and context still are intimately used in communication. The significant use of gestures in our daily life as a mode of interaction motivates the use of gestural interface and employs them in wide range of application through computer vision.

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