Hand Gesture Recognition by Daubechies Wavelet Transformation

Computer applications require interaction between humans and computers. This interaction has to be lucid and is a challenging task for the traditional devices such as keyboard, optical pen, mouse etc. Hand gestures are more natural, compared with actions associated with the traditional devices. Use of hand gestures to operate machine would make interaction very interesting and easy. Gesture recognition has gained a lot of importance [8]. The paper presents Hand Gesture Recognition method based on DCT and Daubechies Wavelet (DB2). The approach consists of three important phases 1) Image Pre-processing 2) Image Transformation 3) Image Recognition. Best accuracy was found to be per cent.