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A face authentication method and device

An authentication method and face technology, applied in the field of biological data, can solve the problems of one-sided features, high feature fusion dimension, and high complexity of multiple networks, and achieve the effect of being conducive to identification.

Active Publication Date: 2021-10-19
BEIJING EYECOOL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In view of the above problems, in order to solve the above problems of one-sided features, high multi-network complexity, and high dimensionality of feature fusion, an embodiment of the present invention proposes a face authentication method and a corresponding face authentication device

Method used

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Embodiment Construction

[0029] In order to make the above objects, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0030] Refer figure 1 The step flow diagram of a face authentication method embodiment of the present invention is shown, and the specifically can include the following steps:

[0031] Step 101, divide the target facial image in the target image into a plurality of twitch images.

[0032] In practical applications, embodiments of the present invention can be applied in a face recognition system, such as access control systems, monitoring systems, payment systems, etc., to perform face certification for users.

[0033] If the target image is acquired by a camera or the like in a face recognition system, the target face image in the target image can be divided into multiple pieces of human face images.

[0034] In one embodiment of the invention, step 101 c...

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Abstract

Embodiments of the present invention provide a face authentication method and device, the method comprising: dividing the target face image in the target image into a plurality of segmented face images; Input in the preset neural network model, extract corresponding multiple original facial features; Select at least part of the original facial features to generate target facial features from the multiple original facial features; The target face image is authenticated. The embodiment of the present invention adopts a single network, multi-block method, and a training strategy in which the network and the classifier are separated, so the number of training samples is small, which reduces the possibility of overfitting during the training process. No end-to-end connection is used to construct higher-dimensional features, and the target face features with the same dimension as the original face features, which are more conducive to recognition and more robust to changes are constructed.

Description

Technical field [0001] The present invention relates to the technical field of biological data, and more particularly to a face certification method and a face certification device. Background technique [0002] Since face certification is natural and not subject to the characteristics of being detected, face certification is widely used in financial and information security. [0003] At present, the face certification protocol generally has two traditional machine learning methods and two kinds of deep learning methods. It can be divided into a method based on deep learning and metrics, based on deep learning and metrics. Separation training method. [0004] Based on traditional machine learning methods, most is human-oriented design features, and extract characteristics from face images by statistical learning methods, and further face certification. [0005] However, since people's subjective ideas tend to have certain sideways, the extraction is often only tends to have robus...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/16G06V40/168
Inventor 王洋张伟琳陆小军
Owner BEIJING EYECOOL TECH CO LTD
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