Hand Gesture Recognition Using Clustering Based Technique

Hand Gesture Recognition play vital role for developing human computer interaction and sign language recognition. Sign language recognition is used for deaf and dump people. Existing system based on vision based static hand gesture recognition. Proposed work performs Dynamic Hand Gesture Recognition using clustering based technique. Clustering based technique provides good classification accuracy. Fourier Descriptor method is used for feature extraction in the proposed method. This method will reduce time complexity and it will improve accuracy.