Computer Science ›› 2020, Vol. 47 ›› Issue (6): 121-125.doi: 10.11896/jsjkx.190500058

• Computer Graphics & Multimedia • Previous Articles     Next Articles

Face Recognition in Non-ideal Environment Based on Sparse Representation and Support Vector Machine

WU Qing-hong, GAO Xiao-dong   

  1. School of Electronic and Information Engineering,University of Science and Technology Liaoning,Anshan,Liaoning 114051,China
  • Received:2019-05-14 Online:2020-06-15 Published:2020-06-10
  • About author:WU Qing-hong,born in 1967,Ph.D,professor.His main research interests include pattern recognition,network communication and automation.
  • Supported by:
    This work was supported by the National Key Technology Research and Development Program of the Ministry of Science and Technology of China(2014BAF05B00).

Abstract: Currently face recognition algorithms have high recognition accuracy and strong adaptive ability in ideal environment,but in non-ideal environment,the accuracy of face recognition declines sharply.In order to improve the stability of face recognition results,a non-ideal environment face recognition algorithm based on sparse representation and support vector machine fusion is designed.Firstly,the feature dictionary of face recognition in non-ideal environment is constructed,then the training samples and test samples of face recognition in non-ideal environment are processed by feature dictionary,and the learning samples of facere-cognition in non-ideal environment are constructed.Finally,the classifier of face recognition in non-ideal environment is established by using support vector machine,and face recognition in non-ideal environment is processed.A number of standard face databases are used to test the non-ideal environment face recognition algorithm.The non-ideal environment face recognition accuracy of this algorithm is high,the false recognition rate and rejection rate of non-ideal environment face recognition are low.Compared with other face recognition algorithms,it is more adaptable to environmental changes,and the overall recognition effect of non-ideal environment face is better.It improves the efficiency of face recognition in non-ideal environment and has obvious advantages.

Key words: Sparse representation, Imperfect environment, Face recognition, Illumination change, Robustness

CLC Number: 

  • TP311
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