thresholded two-phase test sample representation for outlier rejection in biological recognition

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ID: 204415
2013
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Abstract
The two-phase test sample representation (TPTSR) was proposed as a useful classifier for face recognition. However, the TPTSR method is not able to reject the impostor, so it should be modified for real-world applications. This paper introduces a thresholded TPTSR (T-TPTSR) method for complex object recognition with outliers, and two criteria for assessing the performance of outlier rejection and member classification are defined. The performance of the T-TPTSR method is compared with the modified global representation, PCA and LDA methods, respectively. The results show that the T-TPTSR method achieves the best performance among them according to the two criteria.
Reference Key
wu2013computationalthresholded Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Xiang Wu;Ning Wu
Journal advanced functional materials
Year 2013
DOI
10.1155/2013/248380
URL
http://dx.doi.org/10.1155/2013/248380
Keywords
medical informatics computer applications to medicine

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