Sentence examples for recognition verification from inspiring English sources

Last year, Alipay rolled out a smile-to-pay scheme at a KFC store in Hangzhou, home to Alibaba and Alipay, and has since then launched face recognition verification for a wide range of offline scenarios, including delivery pickup.

Typical applications where face landmarking plays a prominent role are facial expression analysis [1, 2], face animation [3, 4], 3D face reconstruction [5], registration [6, 7], feature-based face recognition, verification [8 10] and face tracking [11, 12], head gesture understanding [13].

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.

It provides a classification tool for recognition and verification of known materials.

Next, the recognition or verification results of the five databases are presented separately.

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.

For example, pattern recognition, signature verification or handwriting identification problems are based on curve modeling via the choice of key points.

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 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 this scenario, the standard protocols of the color FERET, the LFW-a, and the YTF databases are used for the evaluation of the performance of face recognition or verification.