Identity authentication method and equipment

Abstract

The invention provides an identity authentication method and equipment. The method comprises the steps that an identity authentication request of a user under authentication is received; the identity authentication request is responded and the face image of the user under authentication is automatically acquired; the face features are extracted from the acquired face image of the user under authentication; and existence of face feature templates matched with the face features extracted from the acquired face image of the user under authentication is determined in a preregistered face feature template library, representative feature screening is performed according to the face features extracted from the acquired face image of the user under authentication and the face feature templates if the judgment result is yes, and the face feature template library is updated by using the selected features through screening.

Description

technical field [0001] The present disclosure relates to the technical field of pattern recognition, in particular to an identity authentication method and device based on face recognition and comparison. Background technique [0002] In many occasions in daily life, authentication of personnel identity is required, such as device login, access control, payment, etc. As people's requirements for security are getting higher and higher, traditional identity authentication methods can no longer meet people's needs. Many identity authentication methods based on biometrics have emerged, such as fingerprints, voiceprints, and iris recognition. Unique to individuals and relatively difficult to imitate, it has also become the mainstream identity authentication method. [0003] In common applications of identity authentication, such as inputting passwords, fingerprint scanning, etc., the user needs to cooperate and perform some operations. If the collection of user identity authent...

AI Technical Summary

Problems solved by technology

[0004] Face information is also a kind of commonly used human biometrics, but the disadvantage of the existing method is that the appearance of people is easy to change, and the difference in the appearance of the face each time for identity authentication may lead to the failure of face matching. It also requires the user to cooperate in the initial and subsequent face image collection process, including facing the camera at the correct angle, removing makeup, removing facial accessories, etc.

Images