Standardization of Face Image Sample Quality

  • Xiufeng Gao
  • Stan Z. Li
  • Rong Liu
  • Peiren Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4642)

Abstract

Performance of biometric systems is dependent on quality of acquired biometric samples. Poor sample quality is a main reason for matching errors in biometric systems and may be the main weakness of some implementations. In this paper, we present an approach for standardization of facial image quality, and develop facial symmetry based methods for its assessment by which facial asymmetries caused by non-frontal lighting and improper facial pose can be measured. Experimental results are provided to illustrate the concepts, definitions and effectiveness.

Keywords

Biometric sample quality facial symmetry local features methodology standardization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Xiufeng Gao
    • 1
  • Stan Z. Li
    • 2
  • Rong Liu
    • 2
  • Peiren Zhang
    • 1
  1. 1.University of Science and Technology of China, Hefei 230026China
  2. 2.Center for Biometrics and Security Research &, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080China

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