… of matching score is implemented in a proposed … score level fusion of individual matching
scores. With the experimentation on the persons face and palmprint modalities, matching score …

… score-level fusion was used to improve palmprint accuracy. However, it used the B-BSIF
descriptor for the 2-D palmprint… to extract features from the 3-D palmprint. From the experimental …

… a fusion scheme based on score level fusion. We first get the directional matching score of
… Moreover, we get the global matching score of the two images by the TPTSR method. At last…

… for the palmprint identification. In this paper, we propose a new nonlinear rank level fusion
… The rigorous experimental results presented in this paper also suggest that the proposed …

… As a result, our imposter distribution does not follow binomial distribution. Although we can
adjust the decision boundaries in Eqs. (7)–(10) to fulfill the stationary condition, our imposter …

… capability of the 4 kinds of spectrum for recognition. Then we test the score level fusion
method under the SUM and the MAX of scores fusion method for recognition. As show in Table III-…

… After scores are generated in each modality, the scorelevel fusion takes some extra time. In
… ; Wong, HS: Face and palmprint feature level fusion for single sample biometrics recognition. …

… together through different fusion techniques like Bayesian Decision Fusion [6]. In this paper,
… level and score level fusions using our already reported unimodal palmprint and fingerprint …

… level fusion. Using a large face database and a large palmprint database as the test data, the
experimental results … on a lower level fusion, that is, the feature level fusion. We extract the …

… of Matching score level fusion. With many experimentations on face and palm recognition
techniques, the ones giving best results are used in the implementation of the fusion technique …