A data sharing method based on face recognition
A data sharing and face recognition technology, applied in the field of data transmission, can solve the problems of users running back and forth, cumbersome procedures, and long approval time, so as to improve the efficiency of recognition, facilitate mutual cooperation and data sharing, and shorten the approval time Effect
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Embodiment 1
[0049] figure 1 Shown is a flow chart of the first embodiment of a data sharing method based on face recognition in the present invention, the method includes steps:
[0050] S101, the first office scans the face of the staff to generate a first image, and performs identity authentication through the first image;
[0051] The first office includes government departments, public institutions, private enterprises and other offices that provide services to users and handle various affairs, such as industrial and commercial bureaus, tax bureaus, government service centers, patent offices, hospitals, schools, various Private enterprises and other institutions that handle external business;
[0052] The face brushing refers to taking pictures of people's faces or people's avatars;
[0053] The first image refers to the face image of the clerk, including the image generated by the first office taking a photo of the face of the clerk through the terminal device with the camera funct...
Embodiment 2
[0071] figure 2 Shown is a flow chart of the second embodiment of a data sharing method based on face recognition in the present invention, the method includes steps:
[0072] S201, the first office scans the face of the staff to generate a first image;
[0073] S202, extracting feature values of the first image;
[0074] The characteristic value refers to the distinguishing feature of the first image that is different from other images, and the characteristic value includes the characteristic value in the face image using a neural network for face recognition;
[0075] S203, judging whether there is a matching optimal neural network for the feature value, if so, proceed to step S204, if not, proceed to step S211;
[0076] The optimal neural network refers to that when the neural network is used for face recognition, it is necessary to take pictures of the user's face in advance to generate an image, then extract the feature value of the image, generate a neural network t...
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