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

Abstract EN

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.