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Face recognition method, system and storage medium

A face recognition and face image technology, applied in the field of deep learning, can solve the problems of recognition accuracy limitation and achieve the effect of improving accuracy

Inactive Publication Date: 2019-03-22
GUANGZHOU YUEJIAN SANHE SOFTWARE
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AI Technical Summary

Problems solved by technology

[0008] The biggest disadvantage of the above method is that it is relatively fragile in the face of posture, different lighting conditions, expression changes and facial makeup, etc., and the accuracy of recognition is greatly limited, and these are the faces that will be displayed at any time in a natural state.

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  • Face recognition method, system and storage medium

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Embodiment Construction

[0073] The present invention will be further explained and described below in conjunction with the accompanying drawings and specific embodiments of the description. For the step numbers in the embodiment of the present invention, it is only set for the convenience of explanation and description, and there is no limitation on the order of the steps. The execution order of each step in the embodiment can be carried out according to the understanding of those skilled in the art Adaptive adjustment.

[0074] refer to figure 1 , the embodiment of the present invention provides a face recognition method, comprising the following steps:

[0075] Preprocess the collected images to identify the face position and face size in the image;

[0076] Acquire the face image according to the face position and face size, and preprocess the face image;

[0077] Perform feature extraction on the preprocessed face image;

[0078] Train the prior data to generate feature templates;

[0079] M...

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Abstract

The invention discloses a face recognition method, system and a storage medium. According to the position and size of human face, obtaining the human face image, and preprocessing the human face image; extracting features of the preprocessed face image; Training the prior data to generate a feature template; taking The feature template to match the extracted face image features, and obtaining theface recognition results. The invention adopts a face recognition method based on feature template matching, a stereo-adjustable shape vector training sample is established based on the characteristics of human face, After locating the human face position, the human face image is matched through the feature template, which solves the problem that the prior art is easily affected by the observation angle, occlusion and expression change in the process of face recognition, improves the accuracy of face recognition, and can be widely used in the field of depth learning technology.

Description

technical field [0001] The present invention relates to the technical field of deep learning, in particular to a face recognition method, system and storage medium. Background technique [0002] In recent years, with the vigorous promotion of "safe city construction", more and more high-definition cameras are deployed in various important places, such as airports, subways, railway stations, bus stations, etc. These places are places where population flow must pass, and are also key areas under the control of public security. Face recognition requirements put forward in many regions are also aimed at these important passageway entrance and exit scenarios, requiring the system to automatically detect faces in the video screen and compare them with the face data in the database one by one to obtain the most likely identity information . Currently, there are several algorithms for face retrieval: [0003] Based on the singular value feature method: the singular value feature ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/161G06V40/168G06V40/172
Inventor 黄俭
Owner GUANGZHOU YUEJIAN SANHE SOFTWARE
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