CN113343793A - National student status-based face real-name authentication method - Google Patents
National student status-based face real-name authentication method Download PDFInfo
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- CN113343793A CN113343793A CN202110564314.4A CN202110564314A CN113343793A CN 113343793 A CN113343793 A CN 113343793A CN 202110564314 A CN202110564314 A CN 202110564314A CN 113343793 A CN113343793 A CN 113343793A
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Abstract
The invention particularly relates to a face real-name authentication method for students based on nationwide school books. The student face real-name authentication method based on nationwide student status comprises the steps of establishing a student portrait base by combining nationwide student status base information and establishing association between the student status information and portrait belief; collecting face information of students, extracting face characteristic values, and checking the characteristic values with a student portrait library; and if the characteristic checking result is consistent, acquiring corresponding student status information from national student status library information, and realizing the face real-name authentication service of students. The student face real-name authentication method based on national student status combines national student status library information, is safer and more reliable, and can be widely applied to aspects such as intelligent campus cloud housekeeping, face identification to leaving school attendance, kindergarten face identification delivery, face identification dormitory management, examination management, face identification intelligent dining room, school epidemic situation prevention and control temperature measurement, health code screening and the like.
Description
Technical Field
The invention relates to the technical field of face recognition, in particular to a national student's face real-name authentication method based on nationwide student status.
Background
In the traditional IT industry, student identity authentication is information collected in systems established in various regions, and the information is relatively dispersed, is not authoritative, has too narrow applicability and cannot be popularized and used in a large range.
In a new period, how to carry out real-name authentication on students without contact is convenient for providing new requirements for works such as school epidemic situation prevention and control tests, health code screening and the like. Meanwhile, a real-name authentication service for students is urgently needed in the fields of intelligent campus cloud householders, face recognition to departure attendance, kindergarten face recognition pick-up, face recognition dormitory management, examination management, face recognition intelligent canteens and the like.
The invention provides a face real-name authentication method for students based on nationwide student status, aiming at solving the authentication problem of student identity information during service calling.
Disclosure of Invention
In order to make up for the defects of the prior art, the invention provides a simple and efficient student face real-name authentication method based on nationwide school books.
The invention is realized by the following technical scheme:
a face real-name authentication method for students based on nationwide school books is characterized by comprising the following steps: the method comprises the following steps:
step one, establishing a student portrait library by combining national student status library information, and establishing association between the student status information and portrait belief;
secondly, acquiring face information of students, extracting face characteristic values, and checking the characteristic values with a student portrait library;
and thirdly, if the feature checking result is consistent, acquiring corresponding student status information from national student status library information, and realizing the face real-name authentication service of students.
In the first step, through timing synchronization service, student status information and student photo information in a national student status library are based, student photo characteristic values are extracted, student status information is added into the characteristic value information to form a student portrait library, and association between student portrait information and student status is established.
When the characteristic values of the photos of the students are extracted, the characteristic values are extracted and optimized in a user-defined characteristic value mode, and information of education stages, ages and sexes of the students is added into the characteristic value information.
When the characteristic value of the student photo is extracted, the noise generated during the acquisition of the student head portrait is filtered and removed in a targeted manner, so that the characteristic value is checked conveniently.
And in the second step, face information is obtained through a face collector or camera equipment, face characteristic values are extracted through face detection and key point positioning, and characteristic value checking work is completed by combining characteristic value information in a student image library.
And in the second step, acquiring the student status unique identification ID from the student portrait library, and realizing the characteristic value extraction of the portrait information through the portrait characteristic value extraction channel.
And in the second step, when the characteristic value is checked, the characteristic value is checked by combining the education stage, age and gender of the student and the portrait information characteristic value extracted through the portrait characteristic value extraction channel, and the face information is further checked and verified, so that the accuracy of the face real-name authentication service is ensured.
And in the third step, if the characteristic checking result is consistent, acquiring student status information by calling student status inquiry service issued by a national student status library by using the student status unique identifier ID, and finishing the face real-name authentication service.
The invention has the beneficial effects that: the national student status based face real-name authentication method is combined with national student status library information, is high in accuracy rate, is safer and more reliable, and can be widely applied to aspects such as intelligent campus cloud housekeeping, face recognition to departure attendance, kindergarten face recognition delivery, face recognition dormitory management, examination management, face recognition intelligent dining room, school epidemic situation prevention and control temperature measurement, health code screening and the like.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of a face real-name authentication method of students based on nationwide school books.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the embodiment of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Feature extraction is a concept in computer vision and image processing. It refers to using a computer to extract image information and decide whether a point of each image belongs to an image feature. The result of feature extraction is to divide the points on the image into different subsets, which often belong to isolated points, continuous curves or continuous regions.
According to different methods for processing image information, feature point detection is generally divided into:
1. template-based method
The template-based method mainly uses a parametric model or template to detect feature points. Because various parameter models or templates need to be constructed, the method is generally used for detecting feature points with specific types, and the calculation speed is generally high. The disadvantage is that it is not suitable for templates of relatively complex form.
2. Edge-based method
The edge-based method is to use the vertices of a polygon or points on the edge of an object having a large curvature change as feature points. Because the feature points are the set of the object edges, the requirement on the edge extraction algorithm is high to a certain extent, and if the edge positioning has deviation, the detection result is greatly influenced.
3. Gray scale based method
The gray level-based method is to detect by using local change of gray level of pixel points, and the characteristic points are established on a certain algorithm, and the pixel points with the maximum gray level change are established on the algorithm. The derivative of the gray around the pixel point can be obtained by differential operation, so as to obtain the position of the characteristic point.
4. Method based on spatial transformation
The method based on the space transformation obtains characteristic points with characteristics which are easy to identify by using the space transformation, and then detects extreme points in a transformation space. The space is generally classified into a scale space, a frequency space, a wavelet space, and the like. The scale space refers to a point having the smallest or largest absolute value searched for in the curvature scale space or in the DOG scale space as a feature point. The frequency space takes the calculated local phase or the maximum value of the specific phase as the feature point. Wavelet transform is to use local maximum of wavelet coefficient or modulus and optimum scale to detect the extreme point.
The face real-name authentication method based on nationwide school books for students comprises the following steps:
step one, establishing a student portrait library by combining national student status library information, and establishing association between the student status information and portrait belief;
in order to ensure the reliability and effectiveness of the real-name authentication service of students, a widely-used and nationwide approved authentication source is necessary. Through accumulation and wide use for many years, the national student status library has realized the collection and verification of 31 provincial student status information and student photos in the country, and simultaneously realized the national student status check and authentication. And the student status information in the national student status library is subjected to personnel information verification with a population library of the public security department in the collection process, so that the student status information not only ensures uniqueness, but also is authenticated by an official party, and the student status information is widely recognized and trusted nationwide. The nationwide student status library is used as an information source for student status real-name authentication, and the reliability and the accuracy of student real-name authentication service can be effectively guaranteed.
Secondly, acquiring face information of students, extracting face characteristic values, and checking the characteristic values with a student portrait library;
and thirdly, if the feature checking result is consistent, acquiring corresponding student status information from national student status library information, and realizing the face real-name authentication service of students.
In the first step, through timing synchronization service, student status information and student photo information in a national student status library are based, student photo characteristic values are extracted, student status information is added into the characteristic value information to form a student portrait library, and association between student portrait information and student status is established.
When the characteristic values of the photos of the students are extracted, the characteristic values are extracted and optimized in a user-defined characteristic value mode, and information of education stages, ages and sexes of the students is added into the characteristic value information.
When the characteristic value of the student photo is extracted, the noise generated during the acquisition of the student head portrait is filtered and removed in a targeted manner, so that the characteristic value is checked conveniently.
And in the second step, face information is obtained through a face collector or camera equipment, face characteristic values are extracted through face detection and key point positioning, and characteristic value checking work is completed by combining characteristic value information in a student image library.
And in the second step, acquiring the student status unique identification ID from the student portrait library, and realizing the characteristic value extraction of the portrait information through the portrait characteristic value extraction channel.
And in the second step, when the characteristic value is checked, the characteristic value is checked by combining the education stage, age and gender of the student and the portrait information characteristic value extracted through the portrait characteristic value extraction channel, and the face information is further checked and verified, so that the accuracy of the face real-name authentication service is ensured.
And in the third step, if the characteristic checking result is consistent, acquiring student status information by calling student status inquiry service issued by a national student status library by using the student status unique identifier ID, and finishing the face real-name authentication service.
Compared with the prior art, the national student status based face real-name authentication method combines the national student status library information for authentication, has high accuracy, is safer and more reliable, and can be widely applied to aspects such as intelligent campus cloud housekeeping, face identification to off-school attendance, kindergarten face identification delivery, face identification dormitory management, examination management, face identification intelligent dining room, school epidemic situation prevention and control temperature measurement, health code screening and the like.
The above-described embodiment is only one specific embodiment of the present invention, and general changes and substitutions by those skilled in the art within the technical scope of the present invention are included in the protection scope of the present invention.
Claims (8)
1. A face real-name authentication method for students based on nationwide school books is characterized by comprising the following steps: the method comprises the following steps:
step one, establishing a student portrait library by combining national student status library information, and establishing association between the student status information and portrait belief;
secondly, acquiring face information of students, extracting face characteristic values, and checking the characteristic values with a student portrait library;
and thirdly, if the feature checking result is consistent, acquiring corresponding student status information from national student status library information, and realizing the face real-name authentication service of students.
2. The national school student face real-name authentication method as claimed in claim 1, wherein: in the first step, through timing synchronization service, student status information and student photo information in a national student status library are based, student photo characteristic values are extracted, student status information is added into the characteristic value information to form a student portrait library, and association between student portrait information and student status is established.
3. The national school student face real-name authentication method as claimed in claim 2, wherein: when the characteristic values of the photos of the students are extracted, the characteristic values are extracted and optimized in a user-defined characteristic value mode, and information of education stages, ages and sexes of the students is added into the characteristic value information.
4. The national school student face real-name authentication method as claimed in claim 2, wherein: when the characteristic value of the student photo is extracted, the noise generated during the acquisition of the student head portrait is filtered and removed in a targeted manner, so that the characteristic value is checked conveniently.
5. The national school student face real-name authentication method as claimed in claim 3, wherein: and in the second step, face information is obtained through a face collector or camera equipment, face characteristic values are extracted through face detection and key point positioning, and characteristic value checking work is completed by combining characteristic value information in a student image library.
6. The national school student face real-name authentication method as claimed in claim 5, wherein: and in the second step, acquiring the student status unique identification ID from the student portrait library, and realizing the characteristic value extraction of the portrait information through the portrait characteristic value extraction channel.
7. The national school student face real-name authentication method as claimed in claim 6, wherein: and in the second step, when the characteristic value is checked, the characteristic value is checked by combining the education stage, age and gender of the student and the portrait information characteristic value extracted through the portrait characteristic value extraction channel, and the face information is further checked and verified, so that the accuracy of the face real-name authentication service is ensured.
8. The national school student face real-name authentication method as claimed in claim 8, wherein: and in the third step, if the characteristic checking result is consistent, acquiring student status information by calling student status inquiry service issued by a national student status library by using the student status unique identifier ID, and finishing the face real-name authentication service.
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| CN109829995A (en) * | 2018-12-14 | 2019-05-31 | 浙江工业大学 | A kind of recognition of face classroom is registered system |
| CN110443577A (en) * | 2019-07-31 | 2019-11-12 | 世纪海航(厦门)科技有限公司 | A kind of campus attendance checking system based on recognition of face |
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- 2021-05-24 CN CN202110564314.4A patent/CN113343793A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106097489A (en) * | 2016-06-01 | 2016-11-09 | 李占强 | A kind of intelligent vision big data gate access control system |
| CN108846306A (en) * | 2018-03-28 | 2018-11-20 | 中科博宏（北京）科技有限公司 | A kind of identity card Compare System and method based on deep learning recognition of face |
| CN108985726A (en) * | 2018-09-19 | 2018-12-11 | 李招兵 | A kind of students'growth culture system and its method |
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