Terahertz millimeter wave-based human face skeleton recognition method

A recognition method and millimeter wave technology, applied in the field of terahertz-based face skeleton recognition, can solve the problems of inability to perform face recognition, loss of unique key information source, security risks, etc., to prevent deception and safety. The effect of improving sexuality and ensuring uniqueness

Pending Publication Date: 2020-10-09
JIANGSU UNIV
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Problems solved by technology

For example, in criminal investigation, due to the concealment of face recognition equipment, it is easy to covertly install in most places, such as self-service teller machines, railway stations, shopping malls, etc. , hats, sunglasses and other occluding objects, face recognition cannot be performed

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  • Terahertz millimeter wave-based human face skeleton recognition method
  • Terahertz millimeter wave-based human face skeleton recognition method
  • Terahertz millimeter wave-based human face skeleton recognition method

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Embodiment Construction

[0035] There are 15 facial bones in the human body. The size, shape, density and relative position of facial bones vary from person to person. As an important part of the face, it carries a large amount of biological information and provides a new solution for face recognition. Terahertz is very high and has a strong penetrating ability, which can penetrate human soft tissues to reach human bones; in the process of terahertz millimeter wave propagation, it will reflect when it encounters the interface of different density media, that is, millimeter waves will be in the human soft tissue. Reflection occurs at the interface with the bone, and the greater the density of the bone, the higher the intensity of the reflected wave. By collecting the reflected millimeter wave and recording the time difference from emission to return of the millimeter wave, the distance between the bone and the sensor can be calculated. By The analysis of the size of the reflected signal can get the dens...

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Abstract

The invention discloses a Terahertz millimeter wave-based human face skeleton recognition method. Millimeter waves are emitted to a to-be-detected target, reflection occurs on the interface of facialsoft tissues and facial bones of the to-be-detected target, a three-dimensional model is established for the facial bones of the to-be-detected target by collecting the reflected millimeter waves, comparison and search are performed in a facial bone model library after feature vectors of the model are extracted, and a recognition result is obtained. The method comprises five parts of millimeter wave emission, millimeter wave collection and emission, facial skeleton modeling, feature extraction and verification search. The method has the advantages that the human face can be recognized under the condition that part of the human face is shielded; the influence of external visible light factors is avoided; the method is not influenced by expression changes, age growth, face lifting and the like; the safety is improved, and cheating means such as photos, videos and three-dimensional models are effectively prevented.

Description

technical field [0001] The invention relates to the technical field of biological feature recognition, in particular to a terahertz-based human face skeleton recognition method. Background technique [0002] With the development of the economy and the improvement of people's living standards, identity authentication is becoming more and more frequent in daily life, while the traditional identity authentication method is too cumbersome and has been replaced by more convenient and reliable biometric identification in many fields; compared with voice recognition, Pupil recognition and fingerprint recognition, face recognition is more direct, friendly, easier for people to accept, and has high reliability. [0003] However, the current face recognition technology is realized by collecting the visible light reflected from the surface of the face and analyzing the features of the face. , has a great impact on the performance of visible light face recognition, such as light intens...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T17/00G01N21/3581G01S17/14
CPCG06T17/00G01S17/14G01N21/3581G06T2200/08G06V40/172
Inventor 卢宏平徐雷钧赵不贿
Owner JIANGSU UNIV
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