Face authentication method and device

An authentication method, the technology of the first face, which is applied in the field of face authentication and face authentication devices, can solve the problems of low recognition accuracy and single face extraction feature, and achieve the effect of improving the authentication accuracy

Active Publication Date: 2018-04-03
BEIJING EYECOOL TECH CO LTD
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0012] In view of the above problems, in order to solve the above-mentioned problems of face extraction with single features and low recogn

Method used

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  • Face authentication method and device
  • Face authentication method and device
  • Face authentication method and device

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Embodiment Construction

[0030] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0031] refer to figure 1 , which shows a flow chart of the steps of Embodiment 1 of a face authentication method of the present invention, which may specifically include the following steps:

[0032] Step 101, using the first convolutional neural network and the second convolutional neural network to perform feature extraction on the same target face data to obtain corresponding first face features and second face features, wherein the first volume The convolutional neural network and the second convolutional neural network are trained with different loss functions;

[0033] Step 102, merging the first facial feature and the second facial feature into a combined facial feature;

[0034] Step 103, performing authentication proces...

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Abstract

The embodiment of the invention provides a face authentication method and a face authentication device. The method comprises the following steps of conducting the feature extraction on the data of a same target face through a first convolution neural network and a second convolution neural network respectively so as to obtain a corresponding first face feature and a corresponding second face feature, wherein the first convolution neural network and the second convolution neural network are trained through different loss functions; combining the first face feature and the second face feature into combined face features; and conducting authentication treatment on the data of the target face based on the combined face features. According to the embodiment of the invention, the accuracy of face authentication can be improved.

Description

technical field [0001] The invention relates to the technical field of biological data processing, in particular to a face authentication method and a face authentication device. Background technique [0002] Because face authentication is natural and undetectable by predicted individuals, face authentication is widely used in fields such as finance and information security. [0003] According to the difference in feature expression and data volume, face authentication methods can be roughly divided into two types: methods based on shallow learning and methods based on deep learning. [0004] (1) Method based on shallow learning [0005] Face authentication based on shallow learning methods has a good effect on a certain scale of data sets. The methods include geometry-based methods, subspace-based methods, traditional machine learning-based methods, etc. [0006] The geometry-based method is to select the key points of the face subjectively, and convert the information s...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/161G06V40/168
Inventor 王洋张伟琳陆小军
Owner BEIJING EYECOOL TECH CO LTD
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