Privacy-protecting biological characteristic image processing method and device

A biometric and privacy protection technology, applied in biometric identification, image communication, digital data protection, etc., can solve the problems of low difficulty of original biometric information being stolen, user privacy data security needs to be further improved, and achieve The effect of improving safety

Active Publication Date: 2020-07-10
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These schemes generally encrypt and protect the collected biometric information during network transmission and storage, but in the neural network model identification link, it is necessary to input the original biometric information in

Method used

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  • Privacy-protecting biological characteristic image processing method and device
  • Privacy-protecting biological characteristic image processing method and device
  • Privacy-protecting biological characteristic image processing method and device

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Embodiment Construction

[0066] Multiple embodiments disclosed in this specification will be described below in conjunction with the accompanying drawings.

[0067] Biometric information, as user privacy data, has a risk of leakage in all links such as collection, transmission, and storage, and needs to be protected. In an existing scheme, a neural network model is used to identify biometric features. Generally, the original biometric information of the user, such as a face image, is collected through a terminal device, and then compressed, encoded, encrypted, etc. uploaded to the server, and the face image is obtained by decoding, decrypting and other operations on the server, which is input into the pre-trained neural network model for feature extraction and comparison, and the extracted features are compared with the pre-stored feature templates (or keep the bottom features) for comparison, so as to obtain the recognition result.

[0068] Under this scheme, in the input link of the neural network ...

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PUM

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Abstract

The embodiment of the invention provides a biometric image processing method and device, and the method comprises the steps: firstly obtaining a to-be-coded first image, segmenting the first image into a first number of first image blocks, and sequentially numbering the first image blocks; according to a number sequence in a preset first sequence, and disrupting the arrangement of the plurality offirst image blocks to obtain a second image which is arranged out of order; enabling the neural network model running on the server to perform biological feature recognition on the second image, wherein the neural network model is obtained by training specified training samples in advance, and each training sample in the specified training samples is arranged out of order according to a first sequence. The method can effectively improve the security of the private data of the user.

Description

technical field [0001] The embodiments of this specification relate to the technical field of privacy data protection, and in particular, to a privacy-protecting biometric image processing method and device. Background technique [0002] Biometric Identification Technology uses the inherent physiological or behavioral characteristics of the human body for personal identification. Biometric features are not easy to forge and lose. Compared with traditional authentication methods such as passwords and USB shields, identity authentication based on biometric features is more convenient and has a very broad application prospect. Among them, biometrics, as a kind of private data that can be used to identify user identities, require a higher level of security protection to prevent leakage. [0003] At present, in many identity authentication schemes based on biometric features, neural network models are used to identify biometric features. These schemes generally encrypt and prot...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06F21/60G06F21/62G06N3/04G06N3/08H04N1/44
CPCG06F21/602G06F21/6245G06N3/08H04N1/44G06F2221/2107G06V40/70G06V10/50G06N3/045
Inventor 郭明宇陈继东陈弢
Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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