Real-Time Hand Gesture Recognition Using Finger Segmentation

被引：28

作者：

Chen, Zhi-hua ^{[1
]}

Kim, Jung-Tae ^{[1
]}

Liang, Jianning ^{[1
]}

Zhang, Jing ^{[1
,2
]}

Yuan, Yu-Bo ^{[1
]}

机构：

[1] E China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China

[2] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Jiangsu, Peoples R China

来源：

SCIENTIFIC WORLD JOURNAL | 2014年

关键词：

D O I：

10.1155/2014/267872

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Hand gesture recognition is very significant for human-computer interaction. In this work, we present a novel real-time method for hand gesture recognition. In our framework, the hand region is extracted from the background with the background subtraction method. Then, the palm and fingers are segmented so as to detect and recognize the fingers. Finally, a rule classifier is applied to predict the labels of hand gestures. The experiments on the data set of 1300 images show that our method performs well and is highly efficient. Moreover, our method shows better performance than a state-of-art method on another data set of hand gestures.

引用

页数：9

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