1, information acquisition is more intuitive.

By collecting the user's photos into the database, the algorithm is improved, and the user's facial features are compared with the photos, so as to realize "face brushing".

2, the cost is lower, and it is easier to use.

As far as application is concerned, it is unrealistic for all users to extract iris information and fingerprint information. Besides, each of us has an ID photo. From the comparison database, face recognition has certain advantages. Only one mobile phone is needed to identify and collect.

3, the experience is better, and users are more acceptable.

Because of the improvement of the camera, face brushing verification can be completed in a very short time, which makes users feel very fast and convenient.

Disadvantages:

1, security risk

Face recognition matching is actually the matching process between your current face photo and the preset photo. Whether the match is defined by a similarity threshold, if the similarity between two people is 98% and the threshold is 97%, the judgment is passed, which will lead to security risks.

2. Infrastructure needs to be improved.

At present, the number of offline stores that experience face-brushing payment is small, which has certain requirements for the hardware equipment of merchants, which leads to certain obstacles in the promotion of face-brushing payment.