International Journal of Electronics Signals and Systems IJESS
ISSN: 2231-5969
Abstracting and Indexing
IJESS
HAND SEGMENTATION AND TRACKING OF CONTINUOUS HAND POSTURE USING MORPHOLOGICAL PROCESSING
MADHURJYA KUMAR NAYAK
Dept. of Electronics & Communication Engineering, Gauhati University, Guwahati-14, Assam, India,
ANJAN KUMAR TALUKDAR
Dept. of Electronics & Communication Engineering, Gauhati University, Guwahati-14, Assam,
Kandarpa Kumar Sarma
Department of Electronics and Communication Technology, Gauhati University, Guwahati, Assam-781014,
Abstract
This work reports the design of a continuous hand posture recognition system. Hand tracking and segmentation are the primary steps for any hand gesture recognition system. The aim of this paper is to report a noise resistant and efficient hand segmentation algorithm where a new method for hand segmentation using different hand detection schemes with required morphological processing are utilized. Problems such as skin colour detection, complex background removal and variable lighting condition are found to be efficiently handled with this system. Noise present in the segmented image due to dynamic background can be removed with the help of this technique. The proposed approach is found to be effective for a range of conditions.
Recommended Citation
NAYAK, MADHURJYA KUMAR; TALUKDAR, ANJAN KUMAR; and Sarma, Kandarpa Kumar (2014) "HAND
SEGMENTATION AND TRACKING OF CONTINUOUS HAND POSTURE USING MORPHOLOGICAL PROCESSING,"