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KMID : 1146720150020020064
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국제컴퓨터가상수술학회 학술지
2015 Volume.2 No. 2 p.64 ~ p.66
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An Efficient Face Recognition using Feature Filter and Subspace Projection Method
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Lee Min-Kyu
Choi Jae-Sung
Lee Sang-Youn
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Abstract
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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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KEYWORD
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Face Recognition, Feature Filtering, Subspace Projection
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