A novel static sign language letter recognition method based on improved SURF algorithm
Yi Zhang · Journal of Chongqing University of Posts and Telecommunications · 2013
In this paper,a novel method of sign language letter recognition based on improved SURF algorithm is proposed,which is combined with Kinect sensor.The Kinect sensor can overcome interference caused by illumination changes and complex background when collecting deep image and fulfill hand gesture segmentation.Integral image of the real-time image and the template image is calculated and analyzed by the improved SURF algorithm,both SURF interest point descriptor are extracted.Then fast indexing algorithm matching result of SURF is optimized by nearest neighbor matching algorithm,which can conquer the influence of angle variation.The experiments show that the method has good robustness in illumination,complex background and angle,and achieves an average recognition rate of 97.7%.