An Improved Algorithm based on Palm Print Recognition

DOI

10.2991/icmt-13.2013.75How to use a DOI?

Keywords

PCA. transformation of kernel function. non-linear transformation. palm print recognition. transformation of dimension

Abstract

This paper aims at the deficiency of classical PCA algorithm on only extracting linear palm print features, sufficiently uses the double matching thought of recognition technology to propose a new algorithm which relatively efficient in extracting the classified identification information. The new proposed algorithm based on PCA algorithm and by using transformation of kernel function to convert the input samples into high-dimensional space through which efficiently solving the problems of small samples and sharply rising computation quantities, while the two aforementioned problems were caused by the number of training samples after matched to the high-dimensional space that smaller than the dimensions themselves. Experimental results show that the proposed algorithm is effective and the accuracy is improved obviously.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhang Tong
AU  - Zhang Xinghui
AU  - Li Tao
AU  - Liu Xiaoqin
PY  - 2013/11
DA  - 2013/11
TI  - An Improved Algorithm based on Palm Print Recognition
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 605
EP  - 612
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.75
DO  - 10.2991/icmt-13.2013.75
ID  - Tong2013/11
ER  -