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The Scientific World Journal
Volume 2014 (2014), Article ID 267872, 9 pages
Research Article

Real-Time Hand Gesture Recognition Using Finger Segmentation

1Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China
2State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China

Received 24 April 2014; Accepted 29 May 2014; Published 25 June 2014

Academic Editor: Shan Zhao

Copyright © 2014 Zhi-hua Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.