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| Hand Segmentation Techniques to Hand Gesture Recognition for Natural Human Computer Interaction
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Full
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 PDF(415KB) |
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Source |
International Journal of Human Computer Interaction (IJHCI) |
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Table of Contents |
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Download
Complete Issue PDF(738.11KB) |
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Volume: 3 Issue: 1 |
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Pages: NULL |
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Publication
Date: February 2012 |
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ISSN
(Online): 2180-1347 |
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Pages |
15 - 25 |
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Author(s) |
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Published
Date |
16-04-2012 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
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KEYWORDS: Human Computer Interface, Hand Tracking and Segmentation, Hand Gesture Recognition |
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| This work is the part of vision based hand gesture recognition system for Natural Human Computer Interface. Hand tracking and segmentation are the primary steps for any hand gesture recognition system. The aim of this paper is to develop robust and efficient hand segmentation algorithm where three algorithms for hand segmentation using different color spaces with required morphological processing have were utilized. Hand tracking and segmentation algorithm (HTS) is found to be most efficient to handle the challenges of vision based system such as skin color detection, complex background removal and variable lighting condition. Noise may contain, sometime, in the segmented image due to dynamic background. An edge traversal algorithm was developed and applied on the segmented hand contour for removal of unwanted background noise. |
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| Archana S. Ghotkar : Colleagues
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| Gajanan K. Kharate : Colleagues
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