An Illumination Invariant Face Recognition Method Based on Gradientfaces and 2DLDA

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2015Publisher:Atlantis PressJournal:Advances in Computer Science Research (eissn: 2352-538X,

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Authors: Yuanlian Huo; Yongfeng Qi;

doi: 10.2991/csic-15.2015.102

An Illumination Invariant Face Recognition Method Based on Gradientfaces and 2DLDA

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Abstract

Extracting illumination invariant features is an effective method to improve recognition rate of algorithm with varying illumination. In this paper, a novel illumination invariant method which combines Gradientface and 2DPDA is proposed. First, this approach transforms a face image into Gradientface, then the 2DPCA is used to reduce the dimension of Gradientface. The experimental results verify the effectiveness of our approach on CAS-PEAR-R1 and CMU PIE face databases. Keywords—Gradientfaces, 2DLDA, face recognition

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Northeast Normal University
China (People's Republic of)
Northwest Normal University
China (People's Republic of)

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