摘要
随着人工智能的快速发展,人机交互的方式备受关注。手势识别作为新的人机交互的输入方式,在很多领域得到了广泛的应用。该文设计的是基于MATLAB的静态手势识别系统。首先,利用MATL.AB强大的图像处理功能将图像灰度化和二值化,然后对手势图像进行分割并提取特征,最后实现静态手势识别。经过多次验证,该系统具有较高识别率。
With the rapid development of artificial inteligence,the way of human-computer interaction input modehas been widely used in many fields.This paper is designed as a static gesture recognition system based onMATLAB.Firstly,the image is grayscale and binarization with the powerful image processing function of MATLAB.then the gesture image is segmented and features are extracted,and finally static gesture recognition is realized.After many verifications,the system has a high recognition rate.
作者
赵海君
张玉婷
曳永芳
Zhao Hai-jun;Zhang Yu-ting;Ye Yong-Fang(College of Physics and Information Enginecring,Shanxi Normal University,Shanxi Linfen 041000)
出处
《电子质量》
2021年第6期28-33,共6页
Electronics Quality