Image Enhancement for Hand Sign Detection

Jing-Wein Wang, Tzu-Hsiung Chen, Tsong-Yi Chen

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 Harvard Style

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 - Volume 1: SIGMAP, (ICETE 2014) ISBN 978-989-758-046-8, pages 186-192. DOI: 10.5220/0005059101860192


in Bibtex Style

@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 - Volume 1: SIGMAP, (ICETE 2014)},
year={2014},
pages={186-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005059101860192},
isbn={978-989-758-046-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014)
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