MATEC Web Conf.
Volume 63, 20162016 International Conference on Mechatronics, Manufacturing and Materials Engineering (MMME 2016)
|Number of page(s)||4|
|Section||Information Technology, Control and Application|
|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: firstname.lastname@example.org
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.
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