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A biological feature recognition method and device

A biometric feature recognition and eigenvector technology, which is applied in the field of biometric feature recognition methods and devices, can solve problems such as face image data security and privacy, and achieve the effect of protecting security and privacy and improving accuracy

Pending Publication Date: 2019-06-18
CAPITAL NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

But this method does not consider the security and privacy of face image data

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  • A biological feature recognition method and device
  • A biological feature recognition method and device
  • A biological feature recognition method and device

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Embodiment Construction

[0069] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

[0070] It should be noted that like numerals and letters denote similar items in the following figures, therefore, once an item is defined in one figure, it does not require further definition and explanation in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second" and the like are only used to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

[0071] Please see figure 1 , figure 1 A schematic flow chart of a biometric identification method provided in the embodiment of the present application, such as figure 1 As shown, the method may include the following steps:

[0072] Step S100: Obtain an image to be tested.

[0073] For example, if the acquired image to be tested is a color face image, the ...

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Abstract

The invention provides a biological feature recognition method and device, and relates to the technical field of image processing and recognition. The method comprises the steps of obtaining a to-be-detected image; Projecting the first full quaternion matrix representing the to-be-detected image on a preset feature vector to obtain a projection matrix; Wherein the preset feature vector is a feature vector of a scrambling matrix of a second full quaternion matrix of the training image set; And using the obtained projection matrix to classify and identify the obtained to-be-detected image, and obtaining an identification result. According to the method, the image information amount borne by the quaternion matrix is increased, and the face color image can be expressed more accurately, so thatthe recognition precision is further improved; The realization process of the scrambling matrix is irreversible, and even if the registered or stored biological characteristic data is lost or stolen,only the biological characteristic data needs to be registered or stored again, so that the security and privacy of the biological characteristic data such as a color face image are effectively protected.

Description

technical field [0001] The present application relates to the technical field of image processing and recognition, and in particular, to a biological feature recognition method and device. Background technique [0002] Identity authentication and recognition technology based on biological features such as face, fingerprint, iris, palmprint, voiceprint, gait, signature, etc. has broad application prospects in e-commerce, military, public security criminal investigation and other fields. The identity authentication and recognition technology based on biometric feature recognition is implemented by utilizing the uniqueness and stability of biometric features. Therefore, people's biological characteristics involve personal privacy, and once the information is leaked, it will cause serious consequences. Therefore, how to ensure the security of biometric data has become an important and valuable research topic. [0003] In addition, principal component analysis (PCA) is the most...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/00G06F21/62
Inventor 邵珠宏孙浩浩尚媛园丁辉赵晓旭刘铁
Owner CAPITAL NORMAL UNIVERSITY
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