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Portrait encryption and decryption system for biological characteristic privacy protection

A privacy protection and biometric technology, applied in the field of portrait encryption and decryption systems, can solve problems such as insufficient encryption, single encryption method, and low security of data transmission

Active Publication Date: 2021-03-30
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems of low data transmission security, single encryption method and insufficient encryption degree in the existing face recognition system, the present invention provides a portrait encryption and decryption system oriented to biological feature privacy protection

Method used

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  • Portrait encryption and decryption system for biological characteristic privacy protection
  • Portrait encryption and decryption system for biological characteristic privacy protection
  • Portrait encryption and decryption system for biological characteristic privacy protection

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Experimental program
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Embodiment

[0095] A portrait encryption and decryption system oriented to biometric privacy protection mainly involves the following types of technologies: 1) Multiple face data encryption and transmission systems based on data transmission capabilities; 2) Portrait based on encoding and decoding framework and identity features Image encryption and decryption system; 3) Portrait feature vector encryption and decryption system based on multiple chaotic systems.

[0096] The network system design of the present invention is based on the TensorFlow framework and the Pycharm development environment: the TensorFlow framework is a development system based on the python language, which can conveniently and quickly build a reasonable deep learning network, and has good cross-platform interaction capabilities. TensorFlow provides interfaces for many encapsulation functions and various image processing functions in deep learning systems, including OpenCV-related image processing functions. The Ten...

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Abstract

The invention belongs to the technical field of digital image processing, and relates to a portrait encryption and decryption system for biological characteristic privacy protection. The system comprises a portrait data acquisition system, a portrait feature extraction system, a network transmission capability judgment system based on data transmission capability, a portrait image encryption and decryption system based on a coding and decoding framework and identity features, and a portrait feature vector encryption and decryption system based on a chaotic system. According to the network transmission capability judgment system based on the data transmission capability, a portrait image encryption and decryption system based on a coding and decoding framework and identity characteristics or a portrait characteristic vector encryption and decryption system based on a chaotic system is selected mainly according to the broadband transmission capability of a transmission network and different types of servers connected with a front-end all-in-one machine. Through cooperation of the two encryption systems, real-time encryption of portrait biological characteristics is realized, the possibility of data leakage is reduced, and meanwhile, the encrypted data is decoded at the server side, so that the portrait recognition accuracy is ensured.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and relates to a portrait encryption and decryption system oriented to biological feature privacy protection. Background technique [0002] With its security and convenience, biometric identification 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] However, the existing face recognition system has problems such as l...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/32G06K9/00G06K9/62H04L9/00H04L9/08H04L29/06H04N1/44G06N3/04G06N3/08
CPCG06F21/32H04L9/0866H04L9/001H04L63/0428H04N1/44G06N3/08G06V40/168G06N3/045G06F18/253
Inventor 谢巍余孝源张浪文余锦伟
Owner SOUTH CHINA UNIV OF TECH
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