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Image-based face verification and experiments

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Abstract

In this paper, we propose a novel image-based identity verification method. This method first uses the training images of the claimed identity to represent the testing sample and then exploits the representation result to determine the verification result, that is, accept or reject. The proposed method not only has sound theoretical foundation but also is simple and easy to implement. Moreover, our method greatly outperforms previously image-based identity verification methods.

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Authors and Affiliations

  1. Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China

    Qi Zhu & Chengli Sun

  2. Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, China

    Qi Zhu

  3. School of Information Engineering, Nanchang Hangkong University, Nanchang, China

    Chengli Sun

Authors
  1. Qi Zhu
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  2. Chengli Sun
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Corresponding author

Correspondence to Qi Zhu.

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Zhu, Q., Sun, C. Image-based face verification and experiments. Neural Comput & Applic 23, 947–956 (2013). https://doi.org/10.1007/s00521-012-1019-x

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  • DOI: https://doi.org/10.1007/s00521-012-1019-x

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