Gestures Arabic Sign Language Conversion to Arabic Alphabets

This Gestures is one of the best ways of communication between dumb and blind people depend on the expression of signs. In this paper we suggest an algorithm to recognizing hand gestures of Arabic letters to communicate between the dumb (through signs) and blind (hear the voice corresponding to sings). The proposed algorithm used the video of gesture from the dumb then convert the video into frames ( images) and calculate the distance to recognition the letters by using k-mean, k- medoid and artificial neural network, calculate the distance by using Euclidean distance and slop. There are sixteen features (8-features from Euclidean distance and 8-features from slop ). The results were (93.3673% For k-mean),(93.1354% for k-medoid ) and(92.9499% for ANN). We create our data base (from 5- videos with 308 frames).