A portrait encryption and decryption system for biometric privacy protection

A privacy protection and biometric technology, applied in the field of portrait encryption and decryption systems, can solve the problems of single encryption method, low data transmission security, insufficient encryption degree, etc., to reduce storage space, ensure accuracy, and improve security. Effect

Active Publication Date: 2022-05-24
SOUTH CHINA UNIV OF TECH
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  • 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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  • A portrait encryption and decryption system for biometric privacy protection
  • A portrait encryption and decryption system for biometric privacy protection
  • A portrait encryption and decryption system for biometric privacy protection

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Experimental program
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Embodiment

[0095] The technology used in a portrait encryption and decryption system for biometric privacy protection mainly involves the following types of technologies: 1) a variety of face data encryption and transmission systems based on data transmission capabilities; 2) portraits based on encoding and decoding frameworks 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 at the same time has a good cross-platform interaction capability. TensorFlow provides many encapsulated functions in the deep learning system and interfaces to various image processing functions, including OpenCV-relat...

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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 oriented to biological feature privacy protection, including: a portrait data collection system, a portrait feature extraction system, a network transmission capability judgment system based on data transmission capabilities, and a coding and decoding framework based Portrait image encryption and decryption system based on identity features, portrait feature vector encryption and decryption system based on chaotic system. The network transmission capacity judgment system based on data transmission capacity is mainly based on the broadband transmission capacity of the transmission network and the type of server connected to the front-end all-in-one machine, and chooses the portrait image encryption and decryption system based on the encoding and decoding framework and identity features or the portrait features based on the chaotic system Vector encryption and decryption system. The present invention realizes the real-time encryption of the biological characteristics of the portrait through the cooperation of the two encryption systems, reduces the possibility of data leakage, and at the same time decodes the encrypted data on the server side, thereby ensuring the accuracy of portrait recognition.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and relates to a portrait encryption and decryption system for biometric privacy protection. Background technique [0002] Biometric identification has become more and more widely used in the field of identity authentication due to its security and convenience. Biometric-based identification can solve the problems of insecurity and inconvenience existing in traditional identification. Among the biometric features such as fingerprint, face, palm print, iris, retina, voice, gait, etc., the face is 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 low data ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F21/32G06K9/00G06K9/62H04L9/00H04L9/08H04L9/40H04N1/44G06N3/04G06N3/08
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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