Sentence examples for verification performance of from inspiring English sources

Comprehensive evaluations over the LFW dataset well demonstrate the encouraging face verification performance of our proposed framework.

The verification performance of the proposed method is examined and compared on CASIA Ver.1 and UBIRIS databases.

(d) Receiver operating characteristic (ROC) curve illustrates the verification performance of the respective matchers indicating the overall quality of the database.

We evaluated the effectiveness of test case creation efforts and the automatic verification performance of environment replications, test cases extractions, and test case executions.

Figure 8 shows the receiver operating characteristic (ROC) curves that compare verification performance of the features obtained from the Eigenfaces [13], scale-invariant feature transform (SIFT) [75], LBP [76], multiple kernel learning (MKL) [77], and the DGHMs.

The proposed DGHM features also show superior recognition or verification performance on the standard protocols of the unconstrained face databases when comparing with the commonly referred descriptors such as the local binary pattern or scale-invariant feature transform.

The first application concerns the automatic generation of totally synthetic signature specimens for the training and evaluation of verification performances of automatic signature recognition systems.

The effects of different dimensionality reduction techniques for use in feature extraction were investigated to evaluate verification performance rates of a multi-class Support Vector Machine (SVM) with the One-Against-All (OAA) approach.

Figure4 shows the speaker verification performance in terms of EER for the cortical features and for the MFCC features as a function of noise type/strength and trial condition.

In view of the need to fuse the local information and the global information in an adaptive manner for reliable recognition, in this paper we investigate whether such external factors can be explicitly estimated and be used to boost the verification performance during fusion of the holistic and part-based methods.

Eighteen and 23 were examined as the worst-case limits, and L s  = 23 improved speaker verification performance in terms of equal error rate (EER) for the low SNR levels (− 5 and − 10 dB) as high as absolute 10% compared to L s = 18.