A real time sign language alphabetical identifier mobile application using image processing technique / Siti Aisyah Muhamad Roslan Paul Wyman

Sign language is a native language for deaf people and hearing people need to learn it if they want to communicate with deaf people smoothly. Learning sign language in class for normal people is limited because most of the class are reserved for the people and it takes time to master in using it. Current mobile application that help in communicating does not do real time translating. In order to help normal and deaf people to communicate and cut the time in learning, direct translator shoud be develop instead of dictionary because people need to study it first before using it. In this project, it focus on translating the hand sign directly after the image is captured. The hand sign recognition that it will translate is the 26 alphabet in sign language which is A to Z. Technique that will use to recognize the hand sign is image processing technique. After the image is capture, it will detect the edge of the hand sign in the image using edge detecting technique and match with the database. Nowadays, Video Relay Service (VRS) is used as a manual interpreter and also online dictionary. There are many researchers work has been done to automate the process of sign language interpretation. Since camera technology get sophisticated, it will be use to test result of this project. It it hoped that this research could help other researchers for future research.