微型机与应用2012，Vol.31Issue(6)：32-35,4.
基于不变矩和支持向量机的手势识别
The gesture identification based on invariant moments and SVM
董立峰 1阮军 1马秋实 1汪雷1
作者信息
- 1. 武汉理工大学信息工程学院,湖北武汉430070
- 折叠
摘要
Abstract
This paper selects Hu moment invariants, the sag number of gestures outline and the ratio of its perimeter and area as the main characteristics of gesture recognition, adopts SVM classifier based on the RBF kernel to recognize ten kinds gestures of 0-9. The resuh of the experiment shows that this method has a high recognition rate under a single background and good illumination condition, and it is more simple and faster.关键词
手势识别/Hu矩/支持向量机Key words
gesture identification/Hu moments/support vector machine分类
信息技术与安全科学引用本文复制引用
董立峰,阮军,马秋实,汪雷..基于不变矩和支持向量机的手势识别[J].微型机与应用,2012,31(6):32-35,4.
