Hand Gesture Recognition

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.