Facial expression recognition based on LBP and SVM decision tree

DOI

10.2991/iiicec-15.2015.148How to use a DOI?

Keywords

facial expression recognition; LBP; SVM decision tree; histogram

Abstract

In order to improve the recognition of facial expression recognition rate, facial expression recognition algorithm is based on a LBP and SVM decision tree. First will facial expression image is converted to LBP characteristic spectrum using LBP algorithm, and then the LBP characteristic spectrum into LBP histogram feature sequence, finally completes the classification and recognition of facial expression by SVM decision tree algorithm, and prove the effectiveness of the proposed method in the recognition of facial expression database in JAFFE.

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/).

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TY  - CONF
AU  - Mei-xia Yang
AU  - Shu-mao Zheng
AU  - Yang Li
PY  - 2015/03
DA  - 2015/03
TI  - Facial expression recognition based on LBP and SVM decision tree
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 651
EP  - 655
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.148
DO  - 10.2991/iiicec-15.2015.148
ID  - Yang2015/03
ER  -