Hand Gesture Recognition Using Clustering Based Technique
Abstract: 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.
Keywords: Hand Gesture Recognition, Human Computer Interaction, Sign Language, Clustering, Fourier Descriptor
How to Cite?: Jignasha B. Panchal, Karshan P. Kandoriya, "Hand Gesture Recognition Using Clustering Based Technique", Volume 4 Issue 6, June 2015, International Journal of Science and Research (IJSR), Pages: 1427-1430, https://www.ijsr.net/getabstract.php?paperid=SUB155633, DOI: https://dx.doi.org/10.21275/SUB155633