Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Convolutional neural network face recognition method and device based on privacy protection

A convolutional neural network and convolutional neural technology, applied in the field of face recognition, can solve problems such as not fully considering the protection of face privacy information, and achieve high security effects

Inactive Publication Date: 2019-12-31
CAPITAL NORMAL UNIVERSITY
View PDF8 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing face recognition algorithms and systems do not fully consider the privacy information protection of faces

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Convolutional neural network face recognition method and device based on privacy protection
  • Convolutional neural network face recognition method and device based on privacy protection
  • Convolutional neural network face recognition method and device based on privacy protection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0060] The privacy protection-based convolutional neural network face recognition method and device according to the embodiments of the present invention will be described below with reference to the accompanying drawings.

[0061] First, a face recognition method based on a privacy-protected convolutional neural network proposed according to an embodiment of the present invention will be described with reference to the accompanying drawings.

[0062] figure 1 It is a flowchart of a face recognition method based on a privacy-pro...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a convolutional neural network face recognition method and device based on privacy protection, and the method comprises the steps: obtaining a plurality of face images, and carrying out the preprocessing of the plurality of face images; calculating local variances of the plurality of preprocessed face images; constructing a first complex matrix by taking a plurality of faceimages before preprocessing as real part vectors and taking local variances of the plurality of face images after preprocessing as imaginary part vectors; performing double random phase encryption ofa transform domain on the first complex matrix to generate a second complex matrix; and extracting a first component and a second component from the second complex matrix, respectively inputting thefirst component and the second component into the convolutional neural networks for training, connecting the two trained convolutional neural networks to generate a face recognition encryption network, and recognizing the face image through the face recognition encryption network. The method has high safety and can meet different requirements of face recognition.

Description

technical field [0001] The present invention relates to the technical field of face recognition, in particular to a privacy protection-based convolutional neural network face recognition method and device. Background technique [0002] Face recognition mainly relies on people's facial information, and its applications in real life are becoming more and more extensive, such as unlocking mobile phones, face payment, etc. Amazon, Google, and Microsoft have successively launched face recognition software. [0003] And this kind of biological information is unique as an important biological feature. In fact, there are many small secrets hidden in it, such as age estimation based on face images, gender identification, and blood relationship identification. Usually our photos are used to train face recognition systems without permission, and many users have been violated without knowing their rights to know and privacy. This year, San Francisco and Somerville in the United States ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06F21/62G06N3/04G06N3/08G06F21/60
CPCG06F21/6245G06N3/08G06F21/602G06V40/172G06N3/045
Inventor 邵珠宏尚媛园徐子涵孙浩浩丁辉刘铁张伟功王晶
Owner CAPITAL NORMAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com