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Computational and Mathematical Methods in Medicine
Volume 2013, Article ID 248380, 10 pages
Research Article

Thresholded Two-Phase Test Sample Representation for Outlier Rejection in Biological Recognition

1Harbin Institute of Technology, 92 West Dazhi Street, Nan Gang District, Harbin 150001, China
2Shenzhen Key Lab of Wind Power and Smart Grid, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China

Received 22 January 2013; Accepted 9 February 2013

Academic Editor: Carlo Cattani

Copyright © 2013 Xiang Wu and Ning Wu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.