Preliminary design of static indonesian sign language recognition system

Human computer interaction has a long history to become more intuitive. For human being, especially for the deaf, gesture of different kind is one of the most intuitive and common communication. In this paper we focus on creating a system to identified and translate hand gesture pose to Indonesian alphabets. Skin detections method is used to create a segmented hand image and to differentiate with the background. A contours is used to localize hand area. SIFT algorithm in advanced, were used to recognize the signed gesture. The result shows that this system can operate well in translated hand gesture image of sign into Indonesian alphabets.