| Issue |
MATEC Web Conf.
Volume 63, 2016
2016 International Conference on Mechatronics, Manufacturing and Materials Engineering (MMME 2016)
|
|
|---|---|---|
| Article Number | 04006 | |
| Number of page(s) | 4 | |
| Section | Information Technology, Control and Application | |
| DOI | https://doi.org/10.1051/matecconf/20166304006 | |
| Published online | 12 July 2016 | |
The improved relative entropy for face recognition
Information Engineering, Guizhou University of Engineering Science, Bijie 551700, Guizhou, China
a Qi Rong ZHANG: zqr_hk@163.com
The relative entropy is least sensitive to noise. In this paper, we propose the improved relative entropy for face recognition (IRE). The IRE method of recognition rate is far higher than the LDA, LPP method, by experimental results on CMU PIE face database and YALE B face database.
Key words: Face recognition / Relative entropy / Improved relative entropy
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.