Face attribute analysis-based person and certificate integrated identity authentication method
An identity verification method and attribute analysis technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve problems such as deception, improve accuracy, solve internal factor interference problems, high reliability and popularity. Effect
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Embodiment 1
[0047] This embodiment proposes an identity verification method based on facial attribute analysis, which mainly uses the race, gender, age, and facial image information presented by the face on the scene and the surface information of the certificate to judge the consistency of the witness. Access to public security system databases. The whole verification method of person-certificate integration includes three major steps, such as figure 1 Shown:
[0048] Step S1, on-site facial image collection. Use the on-site camera to capture several face images of the certificate holder (for example, capture 10 images, but the specifics can be adjusted according to the performance parameters of the camera), and use the face image quality evaluation technology to capture several face images Select a face image with the best quality as the live face image.
[0049] Step S2, document information collection. Use the document information collection device to read the document information...
Embodiment 2
[0058] This embodiment discloses another specific implementation of a face attribute analysis-based identity verification method that integrates witnesses and certificates, including three major steps: on-site face image collection, certificate information collection, and witnesses-in-one verification, as follows: figure 1 shown. Among them, the verification of the combination of human and ID includes three steps: race and gender verification, age verification and face comparison verification. The following is a detailed description of each step one by one:
[0059] Step S1: On-site facial image collection
[0060] The image acquisition card is responsible for collecting the on-site face image of the certificate holder. Because the collected face images usually contain more background interference, and may include face images of various postures, expressions, and illumination changes. Therefore, the present invention carries out face detection by AdaBoost or deep learning a...
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