Hand Gesture Recognition: A Comparative Study

Chakraborty, Prateem; Sarawgi, Prashant; Mehrotra, Ankit; Agarwal, Gaurav; Pradhan, Ratika
January 2008
International MultiConference of Engineers & Computer Scientists;2008, p388
This paper presents four very simple but efficient methods to implement hand gesture recognition namely Subtraction, Gradient, Principal Components Analysis and Rotation Invariant. We first created an Image Database consisting of four different hand gesture images. Before populating the database for an images of various gesture categories in Hand Gesture Recognition system, each image was first processed i.e., the images were converted to 8-bit grayscale images and filtering was performed to minimize any noise present in the images. The method mentioned above were applied on the input test images captured form the sensor device of the system to find the suitable match form the data base. The methods used were successful to retrieve the correct matches. The results based on speed and accuracy was analyzed.


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