Authentication method and system based on multi-factor, multi-engine, human-machine combination

Abstract

The invention provides a multi-factor, multi-engine and human-computer combined identity verification method, comprising the steps of acquiring at least two types of biological feature information provided by a current user; identifying all types of biological feature information by adopting multiple different identification methods, and separately obtaining multiple identification results after matching; fusing all the obtained identification results to obtain a fusion result, making a decision on the fusion result, and obtaining an identity verification result of the current user according to the decision result; if the decision result falls into a suspected interval, artificially verifying the biological feature information to obtain an artificial verification result as the verification result. An identity verification system adopting the method comprises a biological feature information acquisition device, a biological feature information identification device and a biological feature information database. The method and the system have the characteristic of high identification accuracy, and can meet the requirements of financial institutions such as banks, social security offices and the like for high identification precision.

Description

technical field [0001] The invention relates to an identity verification method, in particular to an identity verification method and system based on multi-factor, multi-engine and human-machine combination. Background technique [0002] The existing biometric-based identification methods or identification systems have their own advantages, but their use is limited due to the following reasons: [0003] 1. In some applications, the required accuracy rate cannot be met, such as the banking and financial system, the accuracy requirements for identification are much higher than the identification accuracy requirements of the company's biometric attendance machine; [0004] 2. Due to the noise of the sensor and the defects of feature extraction and matching, it is often impossible to guarantee the correct recognition result. Contents of the invention [0005] In view of the deficiencies in the above problems, the present invention provides a multi-factor, multi-engine, man-ma...

AI Technical Summary

Problems solved by technology

[0002] The existing biometric-based identification methods or identification systems have their own advantages, but their use is limited due to the following reasons:

[0003] 1. In some applications, the required accuracy rate cannot be achieved. For example, in the banking and financial system, the accuracy requirements for identification are much higher than the identification accuracy requirements of the company's biometric attendance machine;

[0004] 2. Due to the noise of the sensor and the defects of feature extraction and matching, it is often impossible to guarantee the correct recognition results

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