Big data face recognition method based on face recognition
A technology of face recognition and face recognition, which is applied in the field of big data face recognition, can solve problems such as face information leakage, achieve the effects of reducing the amount of calculation, ensuring safety, and improving response time
Active Publication Date: 2022-02-08
厦门久凌创新科技有限公司
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[0003] However, the problem of face information being sent directly from the back-end platform to the face recognition terminal is information security, and there may be a problem of face information leakage. For example, after the face recognition terminal is cracked, the face information of all personnel may be the leak
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[0036] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is some embodiments of the present invention, but not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the implementation manners in the present invention, all other implement...
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The present invention provides a large data face recognition method based on face recognition, comprising: collecting face images through a camera; preprocessing the face images to obtain clear face images; Face feature block; store face feature block, clear face image and corresponding identity information in the platform; transmit face feature block to face recognition terminal; face recognition terminal receives face feature area block, and stored in the face feature block library; the face recognition terminal extracts the face feature block of the face image to be recognized, and combines the face feature block of the face image to be recognized with the face feature area The face feature blocks in the block library are compared, and when the comparison is successful, a clear face image matching the face image to be recognized and its corresponding identity information are obtained.
Description
technical field [0001] The invention relates to a big data face recognition method based on face recognition. Background technique [0002] At present, face recognition terminals can be divided into online recognition or offline recognition. For online recognition, face comparison is performed after the face is collected by the face recognition terminal, which is greatly affected by the network and poor customer experience. For offline recognition, the general platform sends all face information to the face recognition terminal, and the face recognition terminal compares it by itself. [0003] However, the problem of face information being sent directly from the back-end platform to the face recognition terminal is information security, and there may be a problem of face information leakage. For example, after the face recognition terminal is cracked, the face information of all personnel may be of leaks. Contents of the invention [0004] The present invention provides ...
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IPC IPC(8): G06V40/16G06V10/75G06K9/62G06F16/583
CPCG06F16/583G06V40/166G06V40/168G06V10/751
Inventor 刘泉明罗茂锐陈少海
Owner 厦门久凌创新科技有限公司