Title :
An American Sign Language detection system using HSV color model and edge detection
Author :
Konwar, A. Sharmila ; Borah, B. Sagarika ; Tuithung, C.T.
Author_Institution :
Inf. Technol., North Eastern Regional Inst. of Sci. & Technol., Nirjuli, India
Abstract :
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.
Keywords :
computer vision; edge detection; image colour analysis; sign language recognition; American sign language detection system; HSV color model; automatic vision; edge detection; hand shape detection; human skin color detection; morphological operation; sign language recognition; text translation; Assistive technology; Gesture recognition; Image color analysis; Image edge detection; Image segmentation; MATLAB; Edge detection; HSV; Morphological operation;
Conference_Titel :
Communications and Signal Processing (ICCSP), 2014 International Conference on
Conference_Location :
Melmaruvathur
Print_ISBN :
978-1-4799-3357-0
DOI :
10.1109/ICCSP.2014.6949942
