Sentence examples for recognition and verification from inspiring English sources
It provides a classification tool for recognition and verification of known materials.
The proposed method achieves higher accuracy on face recognition and verification than the existing techniques.
The need for a novel multi-scale ESD (ElectroStatic Discharge) network recognition and verification methodology is described in this paper.
As a result of the evolution in the field of biometrics, a new breed of techniques and methods for user identity recognition and verification has appeared based on the recognition and verification of several biometric features considered unique to each individual.
The face recognition and verification results on the standard protocols of the databases of unconstrained environments also reveal that the proposed DGHM features can perform better than the commonly used descriptors such as the LBP or SIFT.
In the experiments, the proposed framework has achieved great performance for face recognition and verification with high speed and high accuracy, based on the public available datasets such as the Labeled Face in the Wild dataset and the AT&T database of faces.
This work can be extended with databases having more number of subjects, and the fusion study can be conducted in the two recognition modes of identification and verification.
We evaluated the accuracy of gait recognition in two modes: identification and verification.
In turn, the actual run of high education and training as well as the associated recognition, evaluation and verification of degrees and diplomas acquired in various countries is to become more and more a global issue.
To the best of our knowledge, the collected dataset, MARitime VEsseLs (MARVEL) [13, 14], is the largest-scale dataset with meta-data composed of the aforementioned attributes, suited for fine-grained visual categorization, recognition, retrieval, and verification tasks, as well as any possible future applications.
The old approaches in speaker recognition are developed for speakers' identification and verification in a speech sample pronounced by one person.
