User signing identity recognition method based on multi-factor cross validation

Abstract

The invention discloses a user signing identity recognition method based on multi-factor cross validation, such as, images, fingerprints, positions, time and contents, and belongs to the technical field of information. The method comprises the following steps: firstly, adopting a user basic information management module for completing the management for user personal information, adopting a user activity management module for realizing the entering and managing of activity information, and adopting a user signing information sensing module for realizing the information sensing; secondly, adopting a user signing decision-making module for performing signing decision making; adopting an intelligent verification module for performing intelligent verification; and finally, adopting a statistic analysis module for performing statistic analysis on the user signing information. According to the invention, a multi-source relevant information sensing technology, a multi-factor cross validation technology and an intelligent random verification and feedback technology are adopted for guaranteeing the reliability and accuracy of the user signing information while realizing low-cost high-efficiency application. The method can avoid the happening of behaviors, such as user cheating and being late, and has significance in urging a user to cultivate excellent conscientious and autonomic habits.

Description

technical field

[0001] The invention belongs to the field of information technology, and in particular relates to a user sign-in identification method based on multi-factor cross-validation. Background technique

[0002] Existing sign-in technologies include traditional manual sign-in, fingerprint recognition sign-in, face recognition sign-in and other solutions; its technical shortcomings are mainly reflected in the following aspects:

[0003] The traditional manual check-in solution cannot solve the behavior of signing on behalf of others. With the increasing number of activities and tasks, it is impossible for managers to fully count the attendance of each event, and the behavior of signing on behalf of others cannot be prevented.

[0004] Fingerprint recognition and sign-in technology is to count attendance by users' fingerprints. However, the cost of fingerprint recognition equipment is high and cannot cover all courses. It puts a lot of pressure on the server to realiz...

Images