Sentence examples for verification score from inspiring English sources

Assuming that a fingermark is compared against a reference database containing N distinct fingerprints, a verification score S j is returned for every comparison.

For every fingermark, a verification score for each print in the reference database R VP∪R FVC (containing 370 prints) is computed and the ccID fingermarks are identified.

In addition, we provide an analysis of the computational complexity associated with the i-vector and i-supervector at four different stages: loading matrix estimation, i-vector and i-supervector extraction, PLDA model training, and verification score calculation.

A bi-gram model was employed to compute the probability P DS t |DS H ). Combining with the word verification score as well as the probability P(Ŵ|U), the most likely DS* can be obtained.

Melody information is extracted from an input song using several pieces of information of the hypothesis, and a total score is calculated from the recognition score and the verification score.

The verification score is calculated as the log-likelihood ratio between two models: s ϕ 1, ϕ 2 = log p ϕ 1, ϕ 2 | H 0 − log p ϕ 1, ϕ 2 | H 1, (28 where the likelihood terms are evaluated using (10) (we shall give more details in the next section).

This paper proposes a weighted power series model for face verification scores fusion.

Essentially, a linear parametric power series model is adopted to directly minimize an approximated total error rate for fusion of multi-modal face verification scores.

We verified via the cross verification scores that no duplicate of any imposter is included.

The verification scores are computed by comparing the likelihood of two different models which describe the relationship between the training and test i-supervectors (or i-vector) through the use of PLDA model.

One has to keep in mind that the smaller d is chosen, the greater the likelihood becomes that a decision is considered to be confident but is in fact due to low verification scores derived from poor-quality images.