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Face recognition under varying illumination based on singular value decomposition and retina modeling

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Abstract

Face recognition under the influence of complex illumination is a challenging problem to be solved. The common treatments for minimizing the affection of illumination variation are illumination preprocessing and illumination insensitive extraction techniques. However, the methods proposed previously present low performances. To realize high-accuracy recognition under varying illumination, this paper proposes a novel illumination processing algorithm called REC&SIG-SVD algorithm. Above all, singular value decomposition (SVD) is utilized to obtain preliminary high-frequency and low-frequency features of the face image in logarithm domain. This study proposes Sigmoid function which satisfies the principle of diminishing marginal utility to normalize singular values, aiming at calculating effective high-frequency features. Furthermore, this paper proposes a novel illumination normalization method to process low-frequency features, which is based on retina modeling cooperate with an advanced contrast limited adaptive histogram equalization (CLAHE). Meanwhile, enhancement on high-frequency features is realized by threshold-value filtering. Last but not least, the normalized high-frequency and enhanced low-frequency features are reassembled to form the normalized face image. The comparative trials based on Yale B and CMU PIE databases are conducted for our algorithm and other similar techniques as well as deep learning methods. The experimental results demonstrate that REC&SIG-SVD algorithm shows outstanding recognition performance.

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Acknowledgments

We would like to thank the National Natural Science Foundation of China (No.61374194), National Key Science and Technology Pillar Program of China (No.2014BAG01DB03) and Key Research and Development Program of Jiangsu Province (No. BE2016739) for funding.

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Authors and Affiliations

  1. School of Automation, Southeast University, Nanjing, 210096, China

    Yang Zhang, Changhui Hu & Xiaobo Lu

  2. Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, 210096, China

    Yang Zhang, Changhui Hu & Xiaobo Lu

  3. School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China

    Changhui Hu

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  1. Yang Zhang
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  2. Changhui Hu
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  3. Xiaobo Lu
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Correspondence to Xiaobo Lu.

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Zhang, Y., Hu, C. & Lu, X. Face recognition under varying illumination based on singular value decomposition and retina modeling. Multimed Tools Appl 77, 28355–28374 (2018). https://doi.org/10.1007/s11042-018-6044-z

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  • DOI: https://doi.org/10.1007/s11042-018-6044-z

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