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Local uncorrelated local discriminant embedding for face recognition

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Abstract

The feature extraction algorithm plays an important role in face recognition. However, the extracted features also have overlapping discriminant information. A property of the statistical uncorrelated criterion is that it eliminates the redundancy among the extracted discriminant features, while many algorithms generally ignore this property. In this paper, we introduce a novel feature extraction method called local uncorrelated local discriminant embedding (LULDE). The proposed approach can be seen as an extension of a local discriminant embedding (LDE) framework in three ways. First, a new local statistical uncorrelated criterion is proposed, which effectively captures the local information of interclass and intraclass. Second, we reconstruct the affinity matrices of an intrinsic graph and a penalty graph, which are mentioned in LDE to enhance the discriminant property. Finally, it overcomes the small-sample-size problem without using principal component analysis to preprocess the original data, which avoids losing some discriminant information. Experimental results on Yale, ORL, Extended Yale B, and FERET databases demonstrate that LULDE outperforms LDE and other representative uncorrelated feature extraction methods.

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Authors and Affiliations

  1. School of Computer Science and Technology, Soochow University, Suzhou, 215006, China

    Xiao-hu Ma, Meng Yang & Zhao Zhang

  2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China

    Xiao-hu Ma

Authors
  1. Xiao-hu Ma
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  2. Meng Yang
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  3. Zhao Zhang
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Corresponding author

Correspondence to Xiao-hu Ma.

Additional information

Project supported by the National Natural Science Foundation of China (No. 61402310), the Natural Science Foundation of Jiangsu Province, China (No. BK20141195), and the State Key Laboratory for Novel Software Technology Foundation of Nanjing University, China (No. KFKT2014B11)

ORCID: Xiao-hu MA, http://orcid.org/0000-0002-2384-3137

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Ma, Xh., Yang, M. & Zhang, Z. Local uncorrelated local discriminant embedding for face recognition. Frontiers Inf Technol Electronic Eng 17, 212–223 (2016). https://doi.org/10.1631/FITEE.1500255

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  • DOI: https://doi.org/10.1631/FITEE.1500255

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