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Face feature extraction modeling, face recognition method and device based on neural network

A neural network and face feature technology, applied in the field of face recognition, can solve the problem of low face recognition accuracy, achieve high face recognition accuracy, high recognition accuracy, and reduce capacity

Active Publication Date: 2019-09-03
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, the face recognition accuracy of the general model in specific face recognition application scenarios is not high

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  • Face feature extraction modeling, face recognition method and device based on neural network
  • Face feature extraction modeling, face recognition method and device based on neural network
  • Face feature extraction modeling, face recognition method and device based on neural network

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Embodiment Construction

[0035] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the associated drawings. Preferred embodiments of the invention are shown in the accompanying drawings. However, the present invention can be embodied in many different forms and is not limited to the embodiments described herein. On the contrary, these embodiments are provided to make the understanding of the disclosure of the present invention more thorough and comprehensive.

[0036] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention. As used herein, the term "or / and" includes any and all combinations of one or more of ...

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Abstract

The present invention provides a facial feature extraction modeling method and device based on neural network, which obtains triplet face pictures from a training set of preset application scenarios; obtains a trained face recognition neural network, and The neural network determines the triplet deep neural network; the triplet face image is used as the input of the triplet deep neural network to determine the loss cost function value; the triplet depth is trained on the training set according to the loss cost function value and training parameters Neural network: Perform a face recognition test on the triplet deep neural network through the test set of the preset application scenario, and determine the test accuracy according to the test results, and determine the target face feature extraction model based on the test accuracy and the triplet deep neural network. The method and device can achieve the beneficial effect of high face recognition accuracy when the modeled face feature model is applied to a specific face recognition application scene. The invention also provides a face recognition method and device.

Description

technical field [0001] The present invention relates to the technical field of face recognition, in particular to a neural network-based face feature extraction and modeling method and device, and a face recognition method and device. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. Generally, a camera or camera is used to collect images or video streams containing faces, and then automatically detect and track faces in the images, and then Face recognition is performed on detected faces, which is also commonly called portrait recognition or face recognition. [0003] The traditional face recognition neural network is widely used in face recognition, but because the face feature extraction model in the traditional face recognition neural network is mostly based on training on a large face data set (more than 500,000) , and then used as a general model in various scenarios. [0004] Since ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/168G06V40/172
Inventor 张玉兵
Owner GUANGZHOU SHIYUAN ELECTRONICS CO LTD