Front-end portrait encryption and recognition method for biological characteristic privacy protection

A biometric and privacy protection technology, applied in the fields of digital data protection, character and pattern recognition, image enhancement, etc., can solve the problems of data invalidation, non-mystery, inundation of original information, etc.

Active Publication Date: 2020-10-02
SOUTH CHINA UNIV OF TECH
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004]The controversy about the privacy protection of portrait recognition is extremely controversial and has become a pain point in the development of the industry. From a technical perspective, the methodology of data privacy protection is not mysterious, such as k-anonymity, l-

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
  • Front-end portrait encryption and recognition method for biological characteristic privacy protection
  • Front-end portrait encryption and recognition method for biological characteristic privacy protection
  • Front-end portrait encryption and recognition method for biological characteristic privacy protection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0084] Such as figure 1 It is an application architecture diagram of a biometric privacy-protected portrait encryption and recognition disclosed in this embodiment. The entire method flow can be divided into two parts: portrait acquisition with privacy protection and encrypted portrait recognition. Among them, the part of portrait acquisition with privacy protection specifically includes: camera capture video stream, portrait preprocessing and portrait encryption. The collection of video stream is completed through the front-end camera, and the collected portrait video data is transmitted to the embedded image processing system through the data transmission line for subsequent processing. The embedded image processing system used adopts DSP architecture to realize high-speed portrait detection, and the performance is optimized to 25 frames. Based on this architecture, the operating efficiency of portrait preprocessing and portrait encryption is also improved. The encrypted ...

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 front-end portrait encryption and recognition method for biological characteristic privacy protection. The method comprises the steps: portrait data collection: photographinga video stream with portrait biological characteristics through a front-end camera; portrait preprocessing: attenuating the image noise of different intensities to different extents by using an adaptive fractional order integral algorithm to realize the adaptive denoising effect of the image, and detecting the dynamic portrait position of the video by using a portrait positioning algorithm; portrait encryption: gray scrambling and diffusion are performed on portraits by using a pseudo-random sequence generated by a chaotic system, so that encrypted portraits can be obtained, and an encryptedportrait library can be established; and encrypted portrait recognition: taking the encrypted portrait library as a training set to train a portrait recognition model, and directly recognizing the encrypted to-be-detected portrait. According to the invention, image encryption is applied to portrait recognition, and an encrypted portrait recognition method is utilized, so that the risk of privacy leakage in the decryption process is avoided, and the problem of personal privacy leakage caused when a portrait recognition product is used is avoided.

Description

technical field [0001] The invention relates to the field of deep learning application technology, in particular to a front-end portrait encryption and recognition method for biometric privacy protection. Background technique [0002] With its security and convenience, biometric recognition has been widely used in the field of identity authentication. Identification based on biometrics can solve the problems of insecurity and inconvenience in traditional identification. Among biometric features such as fingerprints, faces, palm prints, iris, retina, voice, and gait, the face is the most widely used for identification because of its high versatility, uniqueness, permanence, availability, and acceptability. One of the broadest biometrics. In recent years, face recognition has achieved very significant research results, and the recognition rate and recognition speed have been greatly improved. [0003] The rise of a new generation of artificial intelligence, while bringing s...

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
IPC IPC(8): G06F21/60G06K9/00G06T5/00
CPCG06F21/602G06T5/002G06T2207/20081G06V40/161G06V40/172
Inventor 谢巍张浪文解宇敏余孝源余锦伟
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap