A Static Hand Gesture Recognition Algorithm Based on Krawtchouk Moments

摘要：

　　Owing to convenience and naturalness,hand gesture recognition has been widely used in various human-computer interaction (HCI) systems.In this paper,we address the problem from the perspective of system,and present a static hand gesture recognition algorithm based on Krawtchouk moments.The effect of the order and number of Krawtchouk moments on the recognition performance is studied in detail.In the experiments,15 popular gesture signs are used to verify the effectiveness of the presented hand gesture recognition system.Experimental results demonstrate that lower order Krawtchouk moments are more suitable for classification.Furthermore,the number of Krawtchouk moments also has a significant impact on the recognition accuracy.

关键词： hand gesture recognition hand detection and normalization Krawtchouk moments minimum distance classifier

作者: Shuping Liu Yu Liu Jun Yu Zengfu Wang

作者单位: Department of Automation,University of Science and Technology of China,Hefei 230026,China Department of Automation,University of Science and Technology of China,Hefei 230026,China;Department Department of Automation,University of Science and Technology of China,Hefei 230026,China;Department

会议类型: 国际会议

会议名称: Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)

会议地点: 长沙

会议语种:英文

页码: 321-330

在线出版日期: 2014-11-01（万方平台首次上网日期，不代表论文的发表时间）