Title :
Static hand gestures recognition system using shape based features
Author :
Khurana, Garima ; Joshi, Gauri ; Kaur, Jaspinder
Author_Institution :
UIET, Panjab Univ., Chandigarh, India
Abstract :
In this paper, an easy and a simple approach using shape based features to recognize alphabets of Indian Sign Language (ISL) has been proposed. Geometrical features and Zernike Moments (ZM) of hand shapes are extracted. Covariance and minimum Euclidean Distance are used for recognition of sign. For 19 ISL alphabets, high recognition rate is achieved.
Keywords :
shape recognition; sign language recognition; ISL alphabets; Indian Sign Language; ZM; Zernike moments; geometrical features; hand shapes; minimum Euclidean distance; shape based features; static hand gestures recognition system; Accuracy; Assistive technology; Euclidean distance; Feature extraction; Gesture recognition; Image color analysis; Shape; Covariance; Geometrical Features; Minimum Euclidean Distance; Zernike Moments;
Conference_Titel :
Engineering and Computational Sciences (RAECS), 2014 Recent Advances in
Conference_Location :
Chandigarh
Print_ISBN :
978-1-4799-2290-1
DOI :
10.1109/RAECS.2014.6799633
