Human face similarity degree matching method and device

Abstract

The embodiment of the invention provides a human face similarity matching method which comprises the following steps of: obtaining a first human face image; extracting the feature data of a plurality of key points in the first human face image and a stored second human face image; searching a matched key point in the key points of the second human face image for each key point of the first human face image; calculating the score of the similarity between the key point of the first human face image and the key point of the second human face image matching with the key point of the first human face image; and inosculating each key point of the first human face image with the similarity score of the key point of the second human face image to judge whether the two are matched with each other.

Description

technical field [0001] The invention relates to the field of authentication and recognition, in particular to a face similarity matching method and device. Background technique [0002] With the development of video surveillance technology, it has brought an opportunity to solve social security problems. Video surveillance uses images and cameras to record scene data for online monitoring and provides credentials for post-event handling. With the decrease of the cost of monitoring equipment, the equipment of video surveillance system has become an important means to prevent crime and ensure the safety of life and property, so it has been widely used in financial institutions, government departments, important transportation, border inspection defense and access control areas. [0003] Among them, intelligent face analysis for surveillance video is an important technology in video surveillance technology. For face analysis of surveillance video, face detection and face simil...

AI Technical Summary

Problems solved by technology

[0010] In the process of realizing the present invention, the inventors found that the accuracy of the existing face similarity matching method is not high, because:

[0011] 1. The existing technology simply uses a direct matching method to compare the similarity between faces, without considering the judgment information of multiple matching points;

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