文献类型：期刊文献

英文题名：Real-Time Hand Gesture Recognition Using Finger Segmentation

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

年份：2014

卷号：2014

外文期刊名：SCIENTIFIC WORLD JOURNAL

收录：MEDLINE(收录号：25054171);;WOS:【SCI-EXPANDED(收录号:WOS:000343466600001)】；PubMed;

基金：This work is supported by the National Nature Science Foundation of China (Grant no. 61370174 and Grant no. 61300133) and the Fundamental Research Funds for the Central Universities.

语种：英文

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.