Arabic sign language fingerspelling recognition from depth and intensity images

Abstract

Automatic Arabic sign language recognition (ArSL) and fingerspelling considered to be the preferred communication method among deaf people. In this paper, we propose a system for alphabetic Arabic sign language recognition using depth and intensity images which acquired from SOFTKINECT™ sensor. The proposed method does not require any extra gloves or any… (More)

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