Terahertz millimeter wave-based human face skeleton recognition method

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more and more frequent in daily life, while the traditional identity authentication method is too cumbersome and has been replaced by more convenient and reliable biometric identification in many fields; compared with voice recognition, Pupil recognition and fingerprint recognition, face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...

AI Technical Summary

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

[0005] In addition, the face, as the key information for identity authentication, is exposed to the outside, and is easily recorded by photos and videos, or even restored to a 3D model of the face, etc., resulting in the loss of uniqueness of the key information source. Technology poses safety hazards

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