Open AccessHAND SEGMENTATION AND TRACKING OF CONTINUOUS HAND POSTURE USING MORPHOLOGICAL PROCESSING
Author(s) -
Madhurjya Kumar Nayak,
Abhijit Talukdar,
Kandarpa Kumar Sarma
Publication year - 2014
Publication title -
international journal of electronic signal and systems
Language(s) - English
Resource type - Journals
ISSN - 2231-5969
DOI - 10.47893/ijess.2014.1178
Subject(s) - segmentation , artificial intelligence , computer vision , computer science , noise (video) , tracking (education) , image segmentation , scale space segmentation , gesture , image processing , gesture recognition , segmentation based object categorization , pattern recognition (psychology) , image (mathematics) , psychology , pedagogy
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.