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Gender and Race Identification by Man and Machine

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Pattern Recognition, Machine Intelligence and Biometrics

Abstract

This work details a comprehensive study on gender and race identification from different facial representations. The major contributions of this work are: comparison of human and machine performance, qualitative analysis of use of color for race identification, combining different facial views for gender identification and extensive human experiments for both gender and race recognition from four different facial representations.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Coordinated Science Laboratory and Beckman Institute for Advanced Science and Technology, 405 N. Mathews Ave., Urbana, IL, 61801, USA

    Usman Tariq & Thomas S. Huang

  2. Microsoft Corporation, 1 Microsoft Way, Redmond, WA, 98052, USA

    Yuxiao Hu

Authors
  1. Usman Tariq
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  2. Yuxiao Hu
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  3. Thomas S. Huang
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Editor information

Editors and Affiliations

  1. CCIS, Northeastern University, 360 Huntington Ave, Boston, MA, 02110, USA

    Patrick S. P. Wang

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© 2011 Higher Education Press, Beijing and Springer-Verlag Berlin Heidelberg

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Tariq, U., Hu, Y., Huang, T.S. (2011). Gender and Race Identification by Man and Machine. In: Wang, P.S.P. (eds) Pattern Recognition, Machine Intelligence and Biometrics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22407-2_13

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  • DOI: https://doi.org/10.1007/978-3-642-22407-2_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22406-5

  • Online ISBN: 978-3-642-22407-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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