Face Recognition based on Binary Images for Link Selection

Sanghun Lee, Soochang Kim, Young-hoon Kim, Chulhee Lee

2014

Abstract

A face recognition system which utilizes binary facial images and a bitwise similarity calculation method is proposed for link selection between mobile devices. As a pre-processing step, normalized differences of Gaussian and facial region estimation were used to handle illumination conditions. Binary images were used to extract facial feature sets that did not exceed 700 bytes. Scale pyramids and XNOR+AND similarity scores were used for fast feature matching between reference data sets and pre-processed test data. The proposed method achieved about an 85.9% recognition rate with a database that consisted of 135 facial images with various head poses, obtained by enrolling one reference data set per subject.

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Paper Citation


in Harvard Style

Lee S., Kim S., Kim Y. and Lee C. (2014). Face Recognition based on Binary Images for Link Selection . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 589-593. DOI: 10.5220/0004738605890593


in Bibtex Style

@conference{visapp14,
author={Sanghun Lee and Soochang Kim and Young-hoon Kim and Chulhee Lee},
title={Face Recognition based on Binary Images for Link Selection},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={589-593},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004738605890593},
isbn={978-989-758-004-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - Face Recognition based on Binary Images for Link Selection
SN - 978-989-758-004-8
AU - Lee S.
AU - Kim S.
AU - Kim Y.
AU - Lee C.
PY - 2014
SP - 589
EP - 593
DO - 10.5220/0004738605890593