SINGLE SAMPLE RECOGNITION BASED ON LPP

DOI

10.2991/ipemec-15.2015.196How to use a DOI?

Keywords

locality preserving projection; S (2D) 2LPP; sub-feature; single sample.

Abstract

For a single sample face recognition problems, this paper propose a supervised two-way two-dimensional locality preserving projection method to extract the facial features, based on locality preserving projection. The recognition phase, this paper presents a method of sub-characteristics voting, In this method, firstly, make face image into blocks, each subset of blocks as a sub-feature and statistics weights of each sub-feature, finally, identify by voting. Experimental results on YaleB and Yale show that the presented method can achieve a certain degree of recognition accuracy.

Copyright

© 2015, 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/).

Download article (PDF)

TY  - CONF
AU  - Qingqing Li
AU  - Xueqiang Lv
AU  - Kai Zhang
PY  - 2015/05
DA  - 2015/05
TI  - SINGLE SAMPLE RECOGNITION BASED ON LPP
BT  - Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference
PB  - Atlantis Press
SP  - 1063
EP  - 1068
SN  - 2352-5401
UR  - https://doi.org/10.2991/ipemec-15.2015.196
DO  - 10.2991/ipemec-15.2015.196
ID  - Li2015/05
ER  -