Indonesian Sign Language (BISINDO) Translation System with ORB for Bilingual Language

Sign language refers to a language which is used by some society as a means for daily communication. Unfortunately there are still many general society who still do not understand about Sign language so that it limits the communication process. In Indonesia, there are two sorts of sign languages which have been used. They are SIBI and BISINDO. The development of BISINDO is more widely used because it is more naturally used by the deaf in Indonesia. This paper tried to propose a sign language recognition method by using computer vision which can be understood by general society with bilingual language. The data used is alphabet gesture 26 types from A to Z. For extracting features form gesture used ORB as detector-descriptor has strengths of computation process which is fast and also invariant with measurement and rotation, therefore it gives the possibility of the input process of image which was tested from video. The structure which was applied in building vocabulary in translation process using Binary Search Tree with the strengths of the fast computation process.