COMPARATIVE ANALYSIS OF RECOGNITION ALGORITHMS FOR HAND GESTURES ON THE BASIS OF VARIOUS REPRESENTATIONS OF IMAGES

At this time, the world has created many different algorithms for recognizing hand gestures. In this paper, the authors reviewed and proposed various gesture recognition algorithms to determine the best among them in terms of speed and quality of recognition. The algorithms like K Nearest Neighbors, Decision Trees, Logistic Regression was compared with two methods of representation pictures. The results showed us that the Logistic Regression with using Raw pixel method better than other algorithms.

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