Robust Gesture Recognition Based on Embedded System

Abstract To improve portability of current gesture recognition technology, this paper proposes a method of the design and implementation of gesture recognition based on embedded system by combining embedded platform with Open CV. Firstly, image denoising using the weighted mean filtering method, and the morphological open operation is used to obtain the complete contour, and the edge extraction is carried out by the improved Canny operator; Secondly, image segmentation using two-dimensional maximum interclass variance. Then analysis and processing of specifies the feature information of gestures images using Hu distance. Finally, the template matching method is used to recognize the gesture image. The experimental results show that the gesture recognition based on embedded system has strong portability, higher recognition rate and easy implementation.

Keywords Embedded, template matching, human-computer interaction, Hu distance.

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Engineering Journal: Robust Gesture Recognition Based on Embedded System

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