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.
NAYAK, MADHURJYA KUMAR; TALUKDAR, ANJAN KUMAR; and Sarma, Kandarpa Kumar
"HAND SEGMENTATION AND TRACKING OF CONTINUOUS HAND POSTURE USING MORPHOLOGICAL PROCESSING,"
International Journal of Electronics Signals and Systems: Vol. 3:
4, Article 5.
Available at: https://www.interscience.in/ijess/vol3/iss4/5