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Abstract: Hand Gesture Recognition (HGR) plays a crucial role in user-friendly interactions between humans and computers. In recent years, using the Convolutional Neural Network (CNN) has improved the accuracy of image processing problems. Inspired by the high recognition rate of CNN and its efficiency, we propose a model for hand gesture recognition based on CNN and evaluate the results using images with plain and complex backgrounds.
1. Introduction Gestures are used for human interaction to express feelings, communicate non-verbal information, and increase the value of messages. A gesture can be an intuitive human–computer interface that helps machines understand body language for various purposes.
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