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Authors: Jing-Wein Wang 1 ; Tzu-Hsiung Chen 2 and Tsong-Yi Chen 1

Affiliations: 1 National kohsiung University of Applied Sciences, Taiwan ; 2 Taipei Chengshih University of Science and Technology, Taiwan

Keyword(s): Compact Hand Extraction, Singular Value Decomposition Based Image Enhancement, Illumination Compensation.

Related Ontology Subjects/Areas/Topics: Design and Implementation of Signal Processing Systems ; Human-Machine Interface ; Image and Video Processing, Compression and Segmentation ; Multimedia ; Multimedia Signal Processing ; Multimedia Systems and Applications ; Telecommunications

Abstract: This paper proposes compact hand extraction to assist in computerized handshape recognition. We devised an image enhancement technique based on singular value decomposition to remove dark backgrounds by reserving the skin color pixels of a hand image. The polynomial approximation YCbCr color model was then used to extract the hand. After alignment, we applied illumination compensation to the adaptable singular value decomposition. Experimental results for images from our database showed that our method functioned more efficiently than conventional ones that do not use compact hand extraction against complex scenes.

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Paper citation in several formats:
Wang, J.; Chen, T. and Chen, T. (2014). Image Enhancement for Hand Sign Detection. In Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications (ICETE 2014) - SIGMAP; ISBN 978-989-758-046-8, SciTePress, pages 186-192. DOI: 10.5220/0005059101860192

@conference{sigmap14,
author={Jing{-}Wein Wang. and Tzu{-}Hsiung Chen. and Tsong{-}Yi Chen.},
title={Image Enhancement for Hand Sign Detection},
booktitle={Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications (ICETE 2014) - SIGMAP},
year={2014},
pages={186-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005059101860192},
isbn={978-989-758-046-8},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications (ICETE 2014) - SIGMAP
TI - Image Enhancement for Hand Sign Detection
SN - 978-989-758-046-8
AU - Wang, J.
AU - Chen, T.
AU - Chen, T.
PY - 2014
SP - 186
EP - 192
DO - 10.5220/0005059101860192
PB - SciTePress