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Hearing impaired individuals have issues to communicate with normal people. They have their own language called Sign Language (SL) to express their feeling or to communicate with others. As communication is an essential part of normal everyday life, it is particularly important for deaf people to communicate as normally as possible with others. Recent advancements in computing technologies have the potential to be applied in the field of SL recognition. These computer-based approaches are able to translate the SL into verbal language and vice-versa. This paper describes the development of a dataset for an automated SL recognition system based on the Malaysian Sign Language (MSL). Implementation results are described.

Malaysian sign language dataset for automatic sign language recognition system