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Demographic Classification Using Skin RGB Albedo Image Analysis

  • Wei Chen
  • Miguel VianaEmail author
  • Mohsen Ardabilian
  • Abdel-Malek Zine
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10485)

Abstract

Age, gender and skin type classification of demographics using common imaging techniques is costly and does not provide good performance. We propose an approach based on skin RGB albedo image analysis for demographic classification. The diffuse albedo uses inherent skin properties which prevail over illumination conditions variation despite being based on visual perception. The method was tested using skin samples from multiple facial regions to evaluate their performance for classification. Moreover, the application of a fusion algorithm using albedo data from each of the facial regions improved the overall performance resulting in rates above 90% accuracy in age, gender and skin type categories.

Keywords

RGB albedo Image analysis Skin reflectance Gender recognition Age recognition Skin type recognition Fusion Machine learning 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Wei Chen
    • 1
  • Miguel Viana
    • 1
    Email author
  • Mohsen Ardabilian
    • 1
  • Abdel-Malek Zine
    • 2
  1. 1.Laboratoire d’Informatique en Image et Systémes d’Information (LIRIS), École Centrale de LyonÉcully CedexFrance
  2. 2.Institut Camille Jordan, École Centrale de LyonÉcully CedexFrance

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