title: Real-time hand gesture recognition using finger segmentation.
abstract: 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.
authors: Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
authors: Zhi-hua
authors: ZH
authors: Chen
authors: Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
authors: Jung-Tae
authors: JT
authors: Kim
authors: Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
authors: Jianning
authors: J
authors: Liang
authors: Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China ; State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China.
authors: Jing
authors: J
authors: Zhang
authors: Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
authors: Yu-Bo
authors: YB
authors: Yuan
mesh_terms: D005385:Fingers / Q000033:anatomy & histology / Q000502:physiology*; D005868:Gestures; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods*