An American Sign Language detection system using HSV color model and edge detection

The work presented in this paper is aimed to design an automatic vision based American Sign Language detection system and translation to text. To detect the human skin color from the image, HSV color model is used. Then edge detection is applied to detect the hand shape from the image. A set of morphological operation is applied to get a refined output for the sign language recognition.