Fast silhouette-based hand gesture feature extraction algorithm

We present in this paper an approach of extracting and recognizing the features of hand gesture with low computational requirement. For the sake of real-time implementation, we developed two main algorithms: Curve Detection Algorithm (CDA) and Peak Detection Algorithm (PDA), where CDA extracts the feature from the silhouette pattern of image and PDA extracts specific patterns in silhouette image which implied peak information. Support Vector Machines is then applied for recognition. The overall performance of recognition achieved 96% in average.