Recent Advances in Hand Gesture Recognition: A Review of Algorithms and Applications
Abstract
When it comes to human communication, hand movements are crucial in sign language. People who are Deaf or Hard of Hearing communicate with hand gestures. The experimental plan of action makes use of a reasonably priced, solid-position web camera with a 10 mega pixel resolution that is mounted on the computer monitor's outer border. It takes pictures using Red, Green, and Blue [RGB] to enlarge space from a tight distance. Four distinct processes make up the work: preprocessing the image, region extraction, feature extraction, and feature matching. It starts by taking continuous pictures from the webcam that is fixed to the top of the device. The next step involves morphological processes after the acquired RGB idea is converted into a grey threshold approach and noise is eliminated using a median and Gaussian filter. In the third step, the SVM method is used to classify the features once they have been retrieved using HOG.
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