Static Gesture Recognition Algorithm Based on Characteristics of Finger Angle

This paper puts forward a static gesture recognition algorithm based on finger angle characteristics. With the fingertips attachment the authors constitute the gesture framework by the line from finger to the center of palm, and calculate the angle between your fingers. To view the number and size of classification, the gestures are defined as one, two, three, four, five, six, seven, eight, nine. The algorithm is not affected by gestures to the direction and scale, and only by judging the fingers point size to recognize hand gestures. In experiments, 900 gesture image recognition are analyzed, the accuracy rate is 96.8%, the average is less than 0.05 seconds, which indicate that the algorithm is of high accuracy, good real-time performance.