DocumentCode
146917
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
fYear
2014
fDate
3-5 April 2014
Firstpage
743
Lastpage
747
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Signal Processing (ICCSP), 2014 International Conference on
Conference_Location
Melmaruvathur
Print_ISBN
978-1-4799-3357-0
Type
conf
DOI
10.1109/ICCSP.2014.6949942
Filename
6949942
Link To Document