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Hand gesture recognition based on open
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Static hand gesture recognition technology today gives a detailed analysis of the various methods, and on this basis, designed and implemented a set of static hand gesture recognition systems can identify in real time. The system is divided into four modules: sign image Capture, image processing, feature extraction and classification of gesture recognition. First by the USB camera in processes running in the system gestures captured images, then after preprocessing gestures for the binary image contours and image, for these two images of gestures for feature extraction, using template matching algorithm based on Euclidean distance for recognition. System image pre-processing and feature extraction module to join OpenCV (Microsoft open source Visual libraries) libraries, running on the efficiency and speed of reaching a good result. This definition in the actual system test ten gestures template library is established and fixed gesture capture distances, as well as of fixed gesture
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2016-08-23
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