Journal of International Society for Simulation Surgery

International Society for Simulation Surgery (국제컴퓨터가상수술학회)
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An Efficient Face Recognition using Feature Filter and Subspace Projection Method

  • Lee, Minkyu (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Choi, Jaesung (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Lee, Sangyoun (Department of Electrical and Electronic Engineering, Yonsei University)
  • Received : 2015.11.02
  • Accepted : 2015.11.18
  • Published : 2015.12.19
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Abstract

Purpose : In this paper we proposed cascade feature filter and projection method for rapid human face recognition for the large-scale high-dimensional face database. Materials and Methods : The relevant features are selected from the large feature set using Fast Correlation-Based Filter method. After feature selection, project them into discriminant using Principal Component Analysis or Linear Discriminant Analysis. Their cascade method reduces the time-complexity without significant degradation of the performance. Results : In our experiments, the ORL database and the extended Yale face database b were used for evaluation. On the ORL database, the processing time was approximately 30-times faster than typical approach with recognition rate 94.22% and on the extended Yale face database b, the processing time was approximately 300-times faster than typical approach with recognition rate 98.74 %. Conclusion : The recognition rate and time-complexity of the proposed method is suitable for real-time face recognition system on the large-scale high-dimensional face database.

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References

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