Face Recognition Using Near Infrared Images

  • Stan Z. LiEmail author
  • Dong Yi


Near infrared (NIR) face recognition has been a successful technology for overcoming illumination changes in face recognition. With years of development, NIR face recognition been in practical use with success and products have appeared in the market. In this chapter, we introduce the NIR face recognition approach, describe the design of active NIR face imaging system, illustrate how to derive from NIR face image an illumination invariant face representation, and provide a learning based method for face feature selection and classification. Experiments are presented.


Face Recognition Face Image Local Binary Pattern Weak Classifier Face Recognition System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work was partially supported by the Chinese National Natural Science Foundation Project #61070146, the National Science and Technology Support Program Project #2009BAK43B26, and the AuthenMetric R&D Funds (2004–2011). The work was also partially supported by the TABULA RASA project ( under the Seventh Framework Programme for research and technological development (FP7) of the European Union (EU), grant agreement #257289.


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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of AutomationChinese Academy of SciencesBeijingChina

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