Face Recognition Method for Static Image

DOI

10.2991/nceece-15.2016.248How to use a DOI?

Keywords

Face Recognition Method for Static Image

Abstract

The face recognition technology is mainly according to those characteristics that exist large differences among different individuals and are relatively stable for the same person. Which feature forms that will be adopted concretely vary with diverse recognition methods. The static face recognition methods of earlier studies basically included face recognition methods based on correlation matching and geometric features. At present, the face recognition method for static image has the following three major research directions: the first are identification methods based on the connecting mechanism, consisting of elastic graph matching method and general neural network method; the second are the identification methods according to statistics, including the hidden Markov model method and eigenface method; the third are some other comprehensive approaches combining the two.

Copyright

© 2016, 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  - Chunxu Jiang
AU  - Xuejiao Zhang
PY  - 2015/12
DA  - 2015/12
TI  - Face Recognition Method for Static Image
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1403
EP  - 1406
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.248
DO  - 10.2991/nceece-15.2016.248
ID  - Jiang2015/12
ER  -