Efficient Gabor Phase Based Illumination Invariant for Face Recognition
Joint Authors
Fan, Chunnian
Wang, Shuiping
Zhang, Hao
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper presents a novel Gabor phase based illumination invariant extraction method aiming at eliminating the effect of varying illumination on face recognition.
Firstly, It normalizes varying illumination on face images, which can reduce the effect of varying illumination to some extent.
Secondly, a set of 2D real Gabor wavelet with different directions is used for image transformation, and multiple Gabor coefficients are combined into one whole in considering spectrum and phase.
Lastly, the illumination invariant is obtained by extracting the phase feature from the combined coefficients.
Experimental results on the Yale B and the CMU PIE face database show that our method obtained a significant improvement over other related methods for face recognition under large illumination variation condition.
American Psychological Association (APA)
Fan, Chunnian& Wang, Shuiping& Zhang, Hao. 2017. Efficient Gabor Phase Based Illumination Invariant for Face Recognition. Advances in Multimedia،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1122324
Modern Language Association (MLA)
Fan, Chunnian…[et al.]. Efficient Gabor Phase Based Illumination Invariant for Face Recognition. Advances in Multimedia No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1122324
American Medical Association (AMA)
Fan, Chunnian& Wang, Shuiping& Zhang, Hao. Efficient Gabor Phase Based Illumination Invariant for Face Recognition. Advances in Multimedia. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1122324
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122324