CN111879724B - Human skin mask identification method and system based on near infrared spectrum imaging - Google Patents
Human skin mask identification method and system based on near infrared spectrum imaging Download PDFInfo
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- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
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- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
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- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
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Abstract
The invention discloses a human skin mask identification method and a system based on near infrared spectrum imaging, which relate to the spectrum imaging technology and have the technical scheme key points that: collecting near infrared spectrum data of facial skin and human skin, and establishing a spectrum database according to the near infrared spectrum data; inputting the near infrared spectrum data in the spectrum database into a spectrum classification algorithm model for training to obtain a spectrum identification model; imaging the target object through a near infrared spectrum imaging system, and identifying and extracting a face area in an imaging image according to a face detection algorithm; extracting facial spectrum data of all pixels belonging to a facial area in the near infrared spectrum sequence image; and inputting the facial spectrum data into a spectrum recognition model for recognition. Based on the spectrum difference between the skin of the human skin and the skin of the human face at 1400-1500nm and 1900-2000nm, the skin of the human is identified by combining the spectrum database, so that the method can be suitable for medium-distance and long-distance identification, and has the advantages of long distance, wide search range, high accuracy and the like compared with image identification.
Description
Technical Field
The invention relates to a spectral imaging technology, in particular to a human skin mask identification method and system based on near infrared spectral imaging.
Background
The skin mask is also called as an easy mask, is made of silica gel materials, has the skin texture and the skin color of real people, is suitable for people with various skin colors and facial shapes to wear, and can achieve the effect of being fake and unreal to a certain extent after being worn. The human skin mask can be used for shooting movies and TV shows and being worn by patients with face burn. However, there are few lawbreakers who wear their masks to commit crimes. In 2010, a white adult of American nationality purchased a mask of a black person to rob a bank in the young, which is the first case of crime with a "face mask" known in the United states. Police without any related experience are puzzled, the detection direction is always locked as a black person, and finally, a girl of the young stands for a horse to alarm after finding the mask, so that the case is detected. Since 2013 in 2 months, many police in Guangzhou, Jiangsu and the like capture criminals who use 'human skins' to perform 'easy' and enter the room or specially aim at ATM to implement crimes. The police shows that the criminal can deceive the camera installed in the public place after wearing the skin mask, the police is difficult to master the true looks of the criminal, which brings higher difficulty to the case investigation, and the criminal will be more increased and has no fear.
At present, for the identification of a human skin mask, the identification can be carried out from the aspects of facial details, expressions, speaking voices and the like in the short-distance and long-time observation process. It has been reported that with iphone phones it is possible to identify real persons and human facial masks customized to the real person's face, mainly by virtue of the high pixel and detail resolution capabilities of the iphone phone camera. However, for the medium-distance and long-distance cameras, it is difficult to identify the human skin mask because sufficient human face details cannot be obtained.
The spectral imaging technology can divide the substance spectrum into dozens of to hundreds of wave bands by utilizing the optical filtering technology, so that the identification capability of the spectral imaging technology on the fine spectral characteristics of the target is greatly improved, and the spectral imaging technology has great application value in the aspects of camouflage identification, ground feature classification, environment monitoring and evaluation, resource remote sensing investigation, biological epidermis and organ inner wall surface health state diagnosis, monitoring of the physiological process of living tissues and the like. At present, no public report is found on a human skin mask recognition technology based on a spectral imaging analysis technology. Therefore, how to research and design a human skin mask identification method and system based on near infrared spectrum imaging is a problem which is urgently needed to be solved at present.
Disclosure of Invention
The invention aims to provide a method and a system for identifying a human skin mask based on near infrared spectrum imaging, which are based on spectral differences between the human skin mask and human face skin, are combined with a spectral database to identify the human skin mask, can be suitable for medium-distance and long-distance identification, have the advantages of long distance, wide search range, high accuracy and the like compared with image identification, can be suitable for important places, and realize real-time identification and monitoring of personnel wearing the human skin mask.
The technical purpose of the invention is realized by the following technical scheme:
in a first aspect, a human skin mask identification method based on near infrared spectral imaging is provided, which comprises the following steps:
collecting near infrared spectrum data of facial skin and human skin, and establishing a spectrum database according to the near infrared spectrum data;
inputting the near infrared spectrum data in the spectrum database into a spectrum classification algorithm model for training to obtain a spectrum identification model;
imaging the target object through a near infrared spectrum imaging system, and identifying and extracting a face area in an imaging image according to a face detection algorithm;
extracting facial spectrum data of all pixels belonging to a facial area in the near infrared spectrum sequence image;
and inputting the facial spectrum data into a spectrum recognition model for recognition, and outputting a recognition result.
Preferably, the spectral wavelength of the near infrared spectrum imaging system is 1400-1500 nm.
Preferably, the spectral wavelength of the near infrared spectrum imaging system is 1900-2000 nm.
Preferably, the wavelength of the near infrared spectrum data in the spectrum database is 900-2000 nm.
Preferably, the near infrared spectral imaging system is any one of an AOTF-based spectral imaging system, a snapshot spectral imaging system and a fourier spectral imaging system.
In a second aspect, there is provided a human skin mask identification system based on near infrared spectral imaging, comprising:
the spectral database is used for storing near infrared spectral data of facial skin and human skin;
the model construction module is used for inputting the near infrared spectrum data in the spectrum database into a spectrum classification algorithm model for training to obtain a spectrum identification model;
the imaging module is used for imaging the target object through the near infrared spectrum imaging system and identifying and extracting a face area in the imaged image according to a face detection algorithm;
the spectrum extraction module is used for extracting facial spectrum data of all pixels belonging to a facial area in the near infrared spectrum sequence image;
and the recognition module is used for inputting the facial spectrum data into the spectrum recognition model for recognition and outputting a recognition result.
In a third aspect, there is provided a computer terminal comprising a memory, a processor and a computer program stored in the memory and executable in the processor to perform the method of any one of the first aspects.
In a fourth aspect, there is provided a computer readable medium storing a computer program which when processed and executed performs the steps of the method according to any one of the first aspect.
Compared with the prior art, the invention has the following beneficial effects: the invention is based on the spectral difference between the skin and the facial skin, especially in the wavelength ranges of 1400-1500nm and 1900-2000nm, and the skin is identified by combining the spectral database, so that the invention can be suitable for medium and long distance identification, and compared with image identification, the invention has the advantages of long distance, wide search range, high accuracy and the like; the invention provides a human skin mask recognition system which can be installed in important places to realize real-time recognition and monitoring of people wearing the human skin mask.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a flowchart of the operation in embodiment 1 of the present invention;
FIG. 2 is a functional block diagram in embodiment 2 of the present invention;
FIG. 3 is a graph of the reflectance spectrum of facial skin and a human skin mask in an embodiment of the present invention.
Reference numbers and corresponding part names in the drawings:
101. a spectral database; 102. a model building module; 103. an imaging module; 104. a spectrum extraction module; 105. and identifying the module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail in the following with reference to examples 1-2 and accompanying drawings 1-3, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not to be construed as limiting the present invention.
Example 1: a human skin mask identification method based on near infrared spectrum imaging is shown in figure 1 and comprises the following steps:
the method comprises the following steps: near infrared spectrum data of facial skin and human skin are collected, and a spectrum database 101 is established according to the near infrared spectrum data. Near infrared spectral data includes, but is not limited to, spectral data of facial skin and human skin masks of different skin tones, ages. The wavelength of the near infrared spectral data in the spectral database 101 is 900-2000 nm.
Step two: and inputting the near infrared spectrum data in the spectrum database 101 into a spectrum classification algorithm model for training to obtain a spectrum identification model. The spectral classification algorithm includes, but is not limited to, a support vector machine based on machine learning, a BP neural network algorithm.
Step three: after the near infrared spectrum imaging system is started, imaging a target object through the near infrared spectrum imaging system, and identifying according to a face detection algorithm; if the face area is the face area, the face area in the imaging image is extracted. Wherein, the spectral wavelength of the near infrared spectrum imaging system is 1400-1500nm or 1900-2000 nm. The near infrared spectrum imaging system is any one of an AOTF-based spectrum imaging system, a snapshot-type spectrum imaging system and a Fourier spectrum imaging system. In order to meet the high-precision requirement of real-time detection, the wavelength range of the near infrared spectrum imaging system is designed to be 900-1700nm, the number of wave bands is 5, the wave bands are respectively 1000, 1150, 1300, 1450 and 1600nm, and the spectral resolution is about 20 nm.
Step four: and extracting the facial spectrum data of all pixels belonging to the facial area in the near infrared spectrum sequence image.
Step five: and inputting the facial spectrum data into a spectrum recognition model for recognition, and outputting a recognition result. When the pixels of the face area exceeding a certain proportion are identified as the human skin mask, the human skin mask is judged to be worn by the human, otherwise, the human face is considered to be a normal human face. For example, the recognition standard ratio is 50%.
Example 2: the human skin mask identification system based on near infrared spectrum imaging comprises a spectrum database 101, a model construction module 102, an imaging module 103, a spectrum extraction module 104 and an identification module 105. Wherein: the spectrum database 101 is used for storing near infrared spectrum data of facial skin and human skin. The model building module 102 is configured to input the near infrared spectrum data in the spectrum database 101 into a spectrum classification algorithm model for training, so as to obtain a spectrum identification model. And the imaging module 103 is used for imaging the target object through the near infrared spectrum imaging system and identifying and extracting a face area in the imaged image according to a face detection algorithm. And the spectrum extraction module 104 is used for extracting the facial spectrum data of all pixels belonging to the facial area in the near infrared spectrum sequence image. And the recognition module 105 is used for inputting the facial spectrum data into the spectrum recognition model for recognition and outputting a recognition result.
In this embodiment, the near infrared spectral imaging system is any one of an AOTF-based spectral imaging system, a snapshot spectral imaging system, and a fourier spectral imaging system. The spectral wavelength of the near infrared spectrum imaging system is 1400-1500nm or 1900-2000 nm.
In the present embodiment, the wavelength of the near infrared spectrum data in the spectral database 101 is 900-2000 nm.
Experimental verification and analysis:
near infrared spectrum data of facial skin with different skin colors and ages and near infrared spectrum data of various common human skins in 100 cases are selected, the spectrum range covers 900-2000nm, and the spectrum data are recorded in a spectrum database 101. The method and the system are adopted for experimental verification.
The verification result is shown in FIG. 3, the skin has obvious absorption peaks at 1400-1500nm and 1900-2000nm, which is caused by the strong absorption of the light in the wavelength band by the moisture in the skin. The silica gel material used by the human skin mask has no absorption peak in the wave band, so that the human skin mask can be identified by utilizing the spectral difference between the human facial skin and the human skin mask in the near infrared wave band.
The working principle is as follows: based on the spectral difference between the skin of the human skin and the skin of the face of the human, especially in the wavelength ranges of 1400-1500nm and 1900-2000nm, the skin of the human is identified by combining the spectral database 101, so that the method can be suitable for medium and long distance identification, and has the advantages of long distance, wide search range, high accuracy and the like compared with image identification.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (5)
1. The human skin mask identification method based on near infrared spectrum imaging is characterized by comprising the following steps:
collecting near infrared spectrum data of facial skin and human skin, and establishing a spectrum database according to the near infrared spectrum data; the spectral wavelength of the near infrared spectrum imaging system is 1400-1500nm or 1900-2000 nm;
inputting the near infrared spectrum data in the spectrum database into a spectrum classification algorithm model for training to obtain a spectrum identification model; the spectrum classification algorithm is a support vector machine or BP neural network algorithm based on machine learning;
imaging the target object through a near infrared spectrum imaging system, and identifying and extracting a face area in an imaging image according to a face detection algorithm;
extracting facial spectrum data of all pixels belonging to a facial area in the near infrared spectrum sequence image;
inputting the facial spectrum data into a spectrum recognition model for recognition, and outputting a recognition result; when the pixels of the face area exceeding a certain proportion are identified as the human face mask, the human face mask worn by the target object is judged, otherwise, the human face is considered to be a normal human face.
2. The method of claim 1, wherein the near infrared spectral imaging system is any one of an AOTF-based spectral imaging system, a snapshot-based spectral imaging system, and a Fourier spectral imaging system.
3. Human skin recognition system based on near infrared spectral imaging, characterized by includes:
the spectral database (101) is used for storing near infrared spectral data of facial skin and human skin; the spectral wavelength is 1400-1500nm or 1900-2000 nm;
the model construction module (102) is used for inputting the near infrared spectrum data in the spectrum database (101) into a spectrum classification algorithm model for training to obtain a spectrum identification model; the spectrum classification algorithm is a support vector machine or BP neural network algorithm based on machine learning;
the imaging module (103) is used for imaging the target object through the near infrared spectrum imaging system and identifying and extracting a face area in the imaged image according to a face detection algorithm;
the spectrum extraction module (104) is used for extracting facial spectrum data of all pixels belonging to a facial area in the near infrared spectrum sequence image;
the recognition module (105) is used for inputting the facial spectrum data into the spectrum recognition model for recognition and outputting a recognition result; the recognition result is: when the pixels of the face area exceeding a certain proportion are identified as the human face mask, the human face mask worn by the target object is judged, otherwise, the human face is considered to be a normal human face.
4. A computer terminal comprising a memory, a processor and a computer program stored in the memory and operable to execute the method of any one of claims 1-2 on the processor.
5. A computer-readable medium, in which a computer program is stored which, when being processed and executed, carries out the steps of the method according to any one of claims 1-2.
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| CN115797560B (en) * | 2022-11-28 | 2023-07-25 | 广州市碳码科技有限责任公司 | Near infrared spectrum imaging-based head model construction method and system |
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