Multi-safeguard identity authentication method

Abstract

The invention discloses a multi-safeguard identity authentication method, and relates to the technical field of multi-safeguard identity authentication methods. According to the technical scheme, the multi-safeguard identity authentication method comprises the following steps of 1) acquiring a face image of a user; 2) acquiring a handwriting signature image of the user; 3) setting a password; 4) respectively extracting a face image characteristic and a handwriting signature image characteristic from the acquired face image and handwriting signature image; 5) performing characteristic selection for the face image characteristic and the handwriting signature image characteristic; 6) classifying by using a support vector machine classifier; 7) if the recognition result of the support vector machine classifier in the step 6) is correct and the password is inputted correctly, verifying successfully, otherwise verifying failed. By using the technical scheme disclosed by the invention, an error caused by that an image easy to confuse is mixed in a face image set and a handwriting signature image set can be reduced; the accuracy degrees for recognizing the face image and the handwriting signature image are improved.

Description

technical field [0001] The invention belongs to the technical field of an identity verification method, in particular to the technical field of an identity verification method involving multiple insurances. Background technique [0002] At present, many verification systems only use simple password verification, which is too simple and easy to crack, and cannot accurately judge the authenticity of the operator's identity. With the continuous development of science and technology, such a system cannot meet the requirements. Therefore, in recent years, continuous improvement methods have been proposed, such as a face combination identity verification method (CN103646201A) through face information and password verification, and a double-verification face anti-counterfeiting method for biopsy and identity verification and device (CN102622588B). These methods are all an upgrade and improvement to the traditional single password verification, but these verification methods only ...

AI Technical Summary

Problems solved by technology

When collecting face images, the above four situations will be considered, or there are other factors, and many faces are easily confused.

Although the existing feature selection algorithm can make high-dimensional features more concise and effective, and can also obtain a certain accuracy of recognition rate, but in the case where there are many easily confused samples in the data set, the existing feature selection algorithm performance is limited

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