The results in the training stage were (C4.5 gave 100%, k-mean gave 95.2% k-medoid gave 91.9% and ANN gave 91.27%). The proposed algorithm for Convert Gestures of Arabic Words into Voice, record video of gesture (of the dumb person) then convert the video into frames (images), preprocessing for the resulted image must done by remove the noise, resize the images and increase the contrast, then calculate the distance to clustering the words by using (C4.5, k-mean, k- medoid and artificial neural network), calculate the distance (or features) by using Euclidean distance and slope where, there are eighteen features (eight features from Euclidean distance, eight features from slop, Area, and perimeter). In this paper, we suggest an algorithm for recognizing hand gestures of Arabic words (اتمنى لك حیاة سعیدة-اقتباس) to by using dumb (through signs) and convert the sings into voice corresponding to sings words. Gestures are one of the best ways of communication between dumbs and other people using the expression of signs language.
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