计算机工程与科学2018，Vol.40Issue(3)：525-532,8.DOI:10.3969/j.issn.1007-130X.2018.03.019
基于Hu-GLCM的手势识别方法研究
A hand gesture recognition method based on Hu-GLCM model
刘辉 1代照坤 1王龙1
作者信息
- 1. 昆明理工大学信息工程与自动化学院,云南昆明650500
- 折叠
摘要
Abstract
Aiming at the shortcoming that a single gesture feature cannot describe the gesture well in hand gesture recognition,a hand gesture recognition method based on Hu moments and Gray-Level Cooccurrence Matrix (Hu-GLCM) is proposed.Firstly the skin color model is used to segment the captured image to get the gesture area.Secondly,the single connected contour of the gesture is extracted by mathematical morphology and polygon fitting.The improved Hu-GLCM method is used to extract the geometric shape and texture features of the gesture and establish a template database.Finally,the gesture image is identified and classified by the extended Canberra distance.The experimental results show that the improved algorithm has an average recognition rate of more than 95％ on seven kinds of gestures,and the computing speed is fast,which can meet the real-time requirements.关键词
手势识别/几何形状特征/纹理特征/Canberra距离Key words
hand gesture recognition/geometric feature/texture feature/Canberra distance分类
信息技术与安全科学引用本文复制引用
刘辉,代照坤,王龙..基于Hu-GLCM的手势识别方法研究[J].计算机工程与科学,2018,40(3):525-532,8.
