TY - JOUR A2 - Zhao, Shan AU - Chen, Zhi-hua AU - Kim, Jung-Tae AU - Liang, Jianning AU - Zhang, Jing AU - Yuan, Yu-Bo PY - 2014 DA - 2014/06/25 TI - Real-Time Hand Gesture Recognition Using Finger Segmentation SP - 267872 VL - 2014 AB - 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. SN - 2356-6140 UR - https://doi.org/10.1155/2014/267872 DO - 10.1155/2014/267872 JF - The Scientific World Journal PB - Hindawi Publishing Corporation KW - ER -