The improved relative entropy for face recognition

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.

Bibliographic Details
Main Authors: Zhang Qi Rong, Zhang Ji Yan, Wang Yan
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Subjects:
Online Access:http://dx.doi.org/10.1051/matecconf/20166304006
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spelling doaj-57d9584af6d1470b8dc5fdba9ffc89912021-02-02T01:21:57ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01630400610.1051/matecconf/20166304006matecconf_mmme2016_04006The improved relative entropy for face recognitionZhang Qi RongZhang Ji YanWang YanThe 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.http://dx.doi.org/10.1051/matecconf/20166304006Face recognitionRelative entropyImproved relative entropy
collection DOAJ
language English
format Article
sources DOAJ
author Zhang Qi Rong
Zhang Ji Yan
Wang Yan
spellingShingle Zhang Qi Rong
Zhang Ji Yan
Wang Yan
The improved relative entropy for face recognition
MATEC Web of Conferences
Face recognition
Relative entropy
Improved relative entropy
author_facet Zhang Qi Rong
Zhang Ji Yan
Wang Yan
author_sort Zhang Qi Rong
title The improved relative entropy for face recognition
title_short The improved relative entropy for face recognition
title_full The improved relative entropy for face recognition
title_fullStr The improved relative entropy for face recognition
title_full_unstemmed The improved relative entropy for face recognition
title_sort improved relative entropy for face recognition
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2016-01-01
description 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.
topic Face recognition
Relative entropy
Improved relative entropy
url http://dx.doi.org/10.1051/matecconf/20166304006
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