Real person identity verification method

Abstract

The invention discloses a real person identity verification method. The method comprises the following steps: acquiring human face picture information provided by an operator; simultaneously acquiring the human face characteristic information of the operator and the mouth shape characteristic information of the operator during reading of preset content; and comparing the human face characteristic information with the human face picture information, comparing the mouth shape characteristic information with preset standard mouth shape characteristic information, if comparison succeeds, confirming that the operator is a real person on the human face picture information, and otherwise, confirming that the operator is not the real person on the human face picture information. According to the method, the identity of the real person is judged by simultaneously acquiring the human face characteristic information and the mouth shape characteristic information without making contact with the operator, so that the popularization of the method is facilitated; comparison of the human face characteristic information is adopted, so that confirmation and auditing on whether the operator is the real person or not are facilitated, the identification accuracy is high, and the accuracy is increased; and comparison of the mouth shape characteristic information is adopted, so that others can be prevented from cracking a human face identification comparison technology by using non-real-person objects, and the security is enhanced. On-site pictures can be stored, and a monitoring function is realized.

Description

technical field [0001] The invention designs an identity verification method, and in particular relates to a real person identity verification method. Background technique [0002] In life, real-person identity verification is required in many situations, such as fingerprint punching at work, manual registration in hospitals, computer face recognition, and automatic card issuing machines to issue cards, etc. In the case of manual identification, it is easier to identify a real person (such as manual registration in a hospital). In the case of no manual identification, it is necessary to enter the corresponding human body characteristics to identify a real person (such as fingerprint punching at work, fingerprints need to be entered in advance, computer face recognition Face images need to be entered in advance), and for situations where there is neither manual recognition nor human body characteristics can be entered in advance (such as automatic card issuing machine issuing...

AI Technical Summary

Problems solved by technology

In the case of manual identification, it is easier to identify a real person (such as manual registration in a hospital). In the case of no manual identification, it is necessary to enter the corresponding human body characteristics to identify a real person (for example, fingerprints need to be entered in advance for clocking in at work, and computer face recognition It is necessary to enter the face image in advance), and for the situation where there is neither manual recognition nor human body characteristics can be entered in advance (such as automatic card issuing machine issuing cards), it is easy for others to steal the certificate to apply for the card

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