FINGER RECONGITION AND GESTURE BASED VIRTUAL KEYBOARD
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Abstract
Hand gesture recognition is very significant for human-computer interaction.
In this work, we present a novel real-time method for hand gesture recognition. The proposed
system is vision based, which uses machine learning techniques and inputs from a computer
webcam. Vision based gesture recognition tracking and gesture recognition in our framework,
the hand region is extracted from the background with the background subtraction method.
Finally, a rule classifier is applied to predict the labels of hand gestures. Our method shows
better performance than a state-of-art method on another data set of hand gestures
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