Fourier Spectral of PalmCode as Descriptor for Palmprint Recognition
Meiru Mu, Qiuqi Ruan, Luuk Spreeuwers, Raymond Veldhuis
2013
Abstract
Study on automatic person recognition by palmprint is currently a hot topic. In this paper, we propose a novel palmprint recognition method by transforming the typical palmprint phase code feature into its Fourier frequency domain. The resulting real-valued Fourier spectral features are further processed by horizontal and vertical 2DPCA method, which proves highly efficient in terms of computational complexity, storage requirement and recognition accuracy. This paper also gives a contrast study on palm code and competitive code under the proposed feature extraction framework. Besides, experimental results on the Hongkong PolyU Palmprint database demonstrate that the proposed method outperforms many currently reported local Gabor pattern approaches for palmprint recognition.
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Paper Citation
in Harvard Style
Mu M., Ruan Q., Spreeuwers L. and Veldhuis R. (2013). Fourier Spectral of PalmCode as Descriptor for Palmprint Recognition . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 22-32. DOI: 10.5220/0004228000220032
in Bibtex Style
@conference{icpram13,
author={Meiru Mu and Qiuqi Ruan and Luuk Spreeuwers and Raymond Veldhuis},
title={Fourier Spectral of PalmCode as Descriptor for Palmprint Recognition},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={22-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004228000220032},
isbn={978-989-8565-41-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Fourier Spectral of PalmCode as Descriptor for Palmprint Recognition
SN - 978-989-8565-41-9
AU - Mu M.
AU - Ruan Q.
AU - Spreeuwers L.
AU - Veldhuis R.
PY - 2013
SP - 22
EP - 32
DO - 10.5220/0004228000220032