CN112818746A - Method, device and system for identifying certification - Google Patents
Method, device and system for identifying certification Download PDFInfo
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Abstract
The invention discloses a method, a device and a system for identifying a certificate, wherein the method comprises the following steps: collecting an original image, a fluorescence characteristic and a microscopic image of a certificate to be identified; identifying an original image, and determining a target VIN code of a certificate to be identified; when a local VIN code feature library corresponding to the target VIN exists, extracting the microscopic features of the certificate to be identified from the microscopic image, wherein the microscopic features comprise the pattern features and the character features of the certificate to be identified; calculating first similarity of the microscopic features and corresponding pattern features and character features in a local VIN code feature library; and if the first similarity is higher than a first preset threshold value, judging the certificate to be identified as true. By implementing the method, the collected original image, the fluorescence characteristic and the microscopic image of the certificate to be identified can be accurately compared with the local characteristic library, so that the efficiency and the accuracy of certificate identification are improved, and the whole identification process of the certificate is recorded.
Description
Technical Field
The invention relates to the technical field of information identification, in particular to a method, a device and a system for identifying a certificate.
Background
With the development of economy and technology and the improvement of purchasing power of people, motor vehicles are more and more selected as tools for going out, the motor vehicles are also important property components, various illegal and illegal cases around the motor vehicles are more and more, and higher requirements are put forward for motor vehicle registration management. When the motor vehicle is registered and managed, the motor vehicle qualification certificate, the driving certificate, the insurance policy and other data need to be submitted to determine the property and the management state of the motor vehicle, a large amount of relevant information needs to be confirmed and input, particularly, the motor vehicle qualification certificate is used as the identity card of the motor vehicle, is an important certificate of the motor vehicle, and is a necessary certificate for registering, buying and selling and mortgage of the motor vehicle. In the prior art, the entry and the identification of the motor vehicle certification information are manually carried out, so that the efficiency is low, the time is long, the vehicle information entry error is easily caused, and the entry and the identification processes cannot be recorded and traced; the requirement on the professional knowledge of input and identification personnel is high, and the personnel easily make mistakes to cause property loss.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, and a system for identifying a certificate, so as to solve the problems of low efficiency and high error probability in manual identification.
According to a first aspect, an embodiment of the present invention provides a method for identifying a certificate, including: collecting an original image, a fluorescence characteristic and a microscopic image of a certificate to be identified, wherein the original image is collected by a first camera shooting component, the fluorescence characteristic is collected by a second camera shooting component, and the microscopic image is collected by a third camera shooting component; identifying the original image, and determining a target VIN code of the certificate to be identified; when a local VIN code feature library corresponding to the target VIN code exists, extracting the microscopic features of the certificate to be identified from the microscopic image, wherein the microscopic features comprise the pattern features and the character features of the certificate to be identified; calculating first similarity of the microscopic features and corresponding pattern features and character features in the local VIN code feature library; and if the first similarity is higher than a first preset threshold value, judging that the certificate to be identified is true.
Optionally, the calculating a first similarity between the microscopic feature and a corresponding pattern feature and a corresponding text feature in the local VIN code feature library includes: calculating pattern similarity according to the pattern features and corresponding pattern features in the local VIN code feature library; calculating character similarity according to the character features and corresponding character features in the local VIN code feature library; and calculating the first similarity according to a preset first weight coefficient, a preset second weight coefficient, the pattern similarity and the character similarity.
Optionally, when a local VIN code feature library corresponding to the target VIN code does not exist, calculating a second similarity between the fluorescence feature and a brand fluorescence feature map; and if the second similarity is higher than a second preset threshold, judging that the certificate to be identified is true.
Optionally, the brand fluorescence profile is determined by: determining host information and brand information of the certificate to be identified according to the target VIN code; and determining the brand fluorescent characteristic diagram of the certificate to be identified in a preset brand fluorescent characteristic library according to the host information and the brand information.
Optionally, the identification method further includes: and when the brand fluorescent characteristic diagram corresponding to the host information and the brand information does not exist in the preset brand fluorescent characteristic library, sending the original image of the certificate to be identified to a user terminal.
Optionally, the identification method further includes: and storing the characteristic information of the certificate to be identified which is verified to be true.
Optionally, the storing the feature information of the certificate to be identified that is verified as true includes: and updating the verification result of the certificate to be recognized as true, and sending the pattern characteristics and the character characteristics of the certificate to be recognized to a preset cloud database and a preset local database.
According to a second aspect, an embodiment of the present invention further provides an apparatus for identifying a certificate, including: the acquisition module is used for acquiring an original image, a fluorescence characteristic and a microscopic image of the certificate to be identified, wherein the original image is acquired through the first camera shooting assembly, the fluorescence characteristic is acquired through the second camera shooting assembly, and the microscopic image is acquired through the third camera shooting assembly; the identification module is used for identifying the original image and determining a target VIN code of the certificate to be identified; the extraction module is used for extracting the microscopic features of the to-be-identified certificate from the microscopic image when a local VIN code feature library corresponding to the target VIN code exists, wherein the microscopic features comprise pattern features and character features of the to-be-identified certificate; the calculation module is used for calculating first similarity between the microscopic features and corresponding pattern features and character features in the local VIN code feature library; and the determining module is used for judging that the certificate to be identified is true if the first similarity is higher than a first preset threshold value.
According to a third aspect, an embodiment of the present invention further provides a system for identifying a certificate, including: the placing plate is used for accommodating the certificate to be identified; the first camera shooting assembly is arranged on one side of the placing plate and used for collecting an original image of the certificate to be identified; the second camera shooting assembly is arranged on the other side of the placing plate and is used for collecting the fluorescence characteristics of the certificate to be identified; the third camera shooting assembly and the first camera shooting assembly are arranged on the same side of the placing plate and are used for collecting the microscopic image of the certificate to be identified; a controller for performing a verification identification based on the original image, the fluorescence feature and the microscopic image, the controller comprising a memory and a processor, wherein the memory stores a computer program, and the computer program is executed by the processor to implement the steps of the identification method of the certification.
According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the method for identification of a certification.
The technical scheme of the invention has the following advantages:
the invention provides a method, a device and a system for identifying a certificate, wherein the method comprises the following steps: collecting an original image, a fluorescence characteristic and a microscopic image of the certificate to be identified, wherein the original image is collected by a first camera shooting component, the fluorescence characteristic is collected by a second camera shooting component, and the microscopic image is collected by a third camera shooting component; identifying an original image, and determining a target VIN code of a certificate to be identified; when a local VIN code feature library corresponding to the target VIN exists, extracting the microscopic features of the certificate to be identified from the microscopic image, wherein the microscopic features comprise the pattern features and the character features of the certificate to be identified; calculating first similarity of the microscopic features and corresponding pattern features and character features in a local VIN code feature library; and if the first similarity is higher than a first preset threshold value, judging the certificate to be identified as true.
By implementing the invention, the problems of low efficiency and easy error of manual identification of the certificate in the related technology are solved, and the collected original image, fluorescence characteristic and microscopic image of the certificate to be identified can be accurately compared with the local characteristic library, so that the efficiency and accuracy of certificate identification are improved, and the whole identification process of the certificate is recorded.
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 described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a specific example of a method of identifying a certification in the embodiment of the present invention;
FIG. 2 is a flowchart of a specific example of a method for identification of a certificate in an embodiment of the present invention;
FIG. 3 is a schematic block diagram of a specific example of a certification device in an embodiment of the present invention;
FIG. 4 is a functional block diagram of a specific example of a system for identification of a certification in an embodiment of the present invention;
fig. 5 is a diagram illustrating an exemplary controller according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present 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.
In the related art, the vehicle certification information is input and identified manually, so that the problems of low efficiency and low identification accuracy exist.
The embodiment of the invention provides a method for identifying a certificate, which comprises the following steps as shown in figure 1:
step S11: collecting an original image, a fluorescence characteristic and a microscopic image of a certificate to be identified;
in this embodiment, the certificate to be identified may be any one of the vehicle certificates which need to be identified and determined; the original image is acquired through the first camera shooting assembly, the fluorescence characteristic is acquired through the second camera shooting assembly, the microscopic image is acquired through the third camera shooting assembly, the first camera shooting assembly can be a common camera, the resolution can be 2k, the first camera shooting assembly is used for acquiring the original image of the certificate to be identified, namely the common image, and specifically, the whole image of the front side and the back side of the certificate to be identified can be acquired; the second camera shooting component can be a common fluorescence camera, the resolution can be 2k, and the second camera shooting component is used for acquiring fluorescence characteristics of the to-be-identified certificate, namely fluorescence images, and specifically can be used for acquiring the whole image of the front side and the back side of the to-be-identified certificate, wherein the whole image contains the fluorescence characteristics; the third camera shooting assembly can be a high-definition industrial camera, and the resolution can be 4k, and is used for acquiring a high-definition image of the certificate to be identified, namely specifically, acquiring a whole high-definition image of the front side and the back side of the certificate to be identified.
Step S12: identifying an original image, and determining a target VIN code of a certificate to be identified; in this embodiment, the target VIN code in the certificate to be recognized may be extracted through an Optical Character Recognition (OCR) original image. Specifically, for the image of the certificate to be recognized, which is acquired by the first camera component, the target VIN code of the certificate is extracted in an OCR manner, where the target VIN code may be a string of character strings.
Step S13: when a local VIN code feature library corresponding to the target VIN exists, extracting the microscopic features of the certificate to be identified from the microscopic image, wherein the microscopic features comprise the pattern features and the character features of the certificate to be identified;
in this embodiment, the local VIN code feature library may be a database pre-stored locally, and includes a plurality of VIN codes, and pattern features and character features of the certificate to be recognized, which correspond to the VIN codes one to one. Specifically, the pattern features of the certificate to be identified can comprise 120g of watermark security line paper special for the certificate, brand-specific printing lace patterns, brand-specific logo patterns and colors, security lines special for the certificate and anti-counterfeiting ink with specific colors; the character characteristics can include margin, font, stamping pattern, printing ink gray level and depth, character content and color saturation; the microscopic features can be high-definition images of the to-be-identified certificate acquired through the third camera component, and pattern features and character features of the to-be-identified certificate are extracted according to the high-definition images of the to-be-identified certificate.
Step S14: calculating first similarity of the microscopic features and corresponding pattern features and character features in a local VIN code feature library; in this embodiment, the pattern features and the character features corresponding to the target VIN code in the local VIN code feature library are determined, and the similarity between the pattern features and the character features extracted from the microscopic features and the pattern features and the similarity between the character features and the character features in the local VIN code feature library are respectively calculated.
Step S15: and if the first similarity is higher than a first preset threshold value, judging the certificate to be identified as true. In this embodiment, when the calculated first similarity is greater than the preset threshold, the vehicle certificate to be recognized at this time may be considered as true. Specifically, the preset threshold may be a standard measurement value for determining consistency between the characteristic pattern characteristic, the text characteristic, and the microscopic characteristic of the target VIN code in the local characteristic library, and may be 99.8%, for example.
The invention provides a method for identifying a certificate, which comprises the following steps: collecting an original image, a fluorescence characteristic and a microscopic image of a certificate to be identified; identifying an original image, and determining a target VIN code of a certificate to be identified; when a local VIN code feature library corresponding to the target VIN exists, extracting the microscopic features of the certificate to be identified from the microscopic image, wherein the microscopic features comprise the pattern features and the character features of the certificate to be identified; calculating first similarity of the microscopic features and corresponding pattern features and character features in a local VIN code feature library; and if the first similarity is higher than a first preset threshold value, judging the certificate to be identified as true.
By implementing the invention, the problems of low efficiency and easy error of manual identification of the certificate in the related technology are solved, and the collected original image, fluorescence characteristic and microscopic image of the certificate to be identified can be accurately compared with the local characteristic library, so that the efficiency and accuracy of certificate identification are improved, and the whole identification process of the certificate is recorded.
In an alternative embodiment, as shown in fig. 2, the step S14 of calculating a first similarity between the microscopic feature and the corresponding pattern feature and text feature in the local VIN code feature library includes:
step S21: calculating pattern similarity according to the pattern characteristics and corresponding pattern characteristics in the local VIN code characteristic library; in this embodiment, the pattern similarity is calculated according to the pattern features included in the acquired microscopic features of the certificate to be identified and the pattern features in the local VIN code feature library corresponding to the target VIN code.
Step S22: calculating character similarity according to the character features and corresponding character features in the local VIN code feature library; in this embodiment, the character similarity is calculated according to the character features included in the acquired microscopic features of the certificate to be recognized and the character features in the local VIN code feature library corresponding to the target VIN code.
Step S23: and calculating the first similarity according to the preset first weight coefficient, the preset second weight coefficient, the pattern similarity and the character similarity. In this embodiment, according to the user requirement and the actual application scenario, a first weight coefficient and a second weight coefficient may be determined, and according to the first weight coefficient and the pattern similarity, the similarity of the first portion is determined; and determining the similarity of the second part according to the second weight coefficient and the character similarity, summing the similarity of the first part and the similarity of the second part, and calculating to obtain the first similarity.
According to the identification method of the certificate, provided by the embodiment of the invention, the micro image of the certificate to be identified, which is acquired by the industrial camera, and the VIN code information of the certificate to be identified, which is acquired by the common camera, are combined, so that the similarity between the certificate to be identified and the standard certificate can be accurately calculated, the problem of inaccurate identification and errors in manual identification is avoided, and the identification efficiency and accuracy are improved.
In an optional embodiment, when a local VIN code feature library corresponding to the target VIN code does not exist, calculating a second similarity between the fluorescence feature and the brand fluorescence feature map; and if the second similarity is higher than a second preset threshold, judging the certificate to be identified as true. In this embodiment, when the VIN code of the certificate to be recognized, which is acquired according to the original image, cannot extract the corresponding pattern feature and the character feature in the local VIN code feature library, the authenticity of the certificate to be recognized may be determined according to the fluorescence information of the certificate to be recognized, which is acquired by the industrial camera.
Optionally, determining host information and brand information of the certificate to be identified according to the target VIN code; and determining the brand fluorescent characteristic diagram of the certificate to be identified in a preset brand fluorescent characteristic library according to the host information and the brand information.
In this embodiment, the target VIN code is analyzed, and manufacturer information of the host device and brand information of the automobile corresponding to the target VIN code are determined; extracting a corresponding brand fluorescent feature map from a preset brand fluorescent feature library according to manufacturer information of the host equipment and brand information of the automobile, wherein specifically, the fluorescent information can comprise fluorescent specific marking pattern distribution and colors; calculating a second similarity according to the brand fluorescence characteristic diagram and the fluorescence characteristics acquired by the third camera shooting assembly; when the second similarity is greater than the preset threshold, the certificate to be identified may be considered as true, and the preset threshold may be a measurement standard value used for determining consistency between the brand fluorescence characteristic map and the fluorescence characteristic, and may be, for example, 98%.
The method for identifying the certification provided by the embodiment of the invention combines the fluorescence characteristics of the certification to be identified and the brand fluorescence characteristics corresponding to the target VIN acquired by the fluorescence camera to calculate the similarity, can determine the authenticity of the certification to be identified according to the calculated second similarity, is not easy to make mistakes, and can accurately, efficiently and timely judge the authenticity of the certification to be identified when the pattern characteristics and the character characteristics corresponding to the target VIN do not exist locally.
In an optional embodiment, the identification method further comprises:
and when the brand fluorescent characteristic diagram corresponding to the host information and the brand information does not exist in the preset brand fluorescent characteristic library, sending the original image of the certificate to be identified to the user terminal. In this embodiment, when the brand fluorescent feature library does not exist in the preset brand fluorescent feature library corresponding to the extracted host information and the extracted brand information, it is described that the preset brand fluorescent feature library needs to be updated at this time, the brand fluorescent feature map corresponding to such host is not stored in the preset brand fluorescent feature library, nor the brand fluorescent feature map corresponding to such brand is stored in the preset brand fluorescent feature library, the fluorescent features, the corresponding host information and the brand information are stored in the preset brand fluorescent feature library, the update of the brand fluorescent feature library is completed, and the original image to be identified is sent to a manager for manual comparison.
In an optional embodiment, the identification method further comprises: and storing the characteristic information of the certificate to be identified which is verified to be true.
In an optional embodiment, the step of storing the feature information of the certificate to be identified that is verified as true includes:
and updating the verification result of the certificate to be recognized as true, and sending the pattern characteristics and the character characteristics of the certificate to be recognized to a preset cloud database and a preset local database. In this embodiment, the original image, the fluorescence characteristic, and the microscopic image of the certificate determined as true by the method described in the above embodiment are all sent to a preset local database for storage, and then sent to a preset cloud database to complete the overall update of the data.
Specifically, the character string corresponding to the target VIN code, the fluorescence information shot by the second camera shooting assembly, the verification result of the fluorescence characteristic, the verification result of the certificate to be identified, the microscopic image and the comparison image of the microscopic image can be sent to the server for storage and backup.
An embodiment of the present invention provides an apparatus for identifying a certificate, as shown in fig. 3, including:
the acquisition module 31 is used for acquiring an original image, a fluorescence characteristic and a microscopic image of the certificate to be identified; the detailed implementation can be referred to the related description of step S11 in the above method embodiment.
The identification module 32 is configured to identify an original image and determine a target VIN code of a certificate to be identified; the detailed implementation can be referred to the related description of step S11 in the above method embodiment.
The extracting module 33 is configured to extract the microscopic features of the certificate to be identified from the microscopic image when the local VIN code feature library corresponding to the target VIN code exists, where the microscopic features include pattern features and character features of the certificate to be identified; the detailed implementation can be referred to the related description of step S11 in the above method embodiment.
The calculation module 34 is configured to calculate a first similarity between the microscopic features and corresponding pattern features and character features in the local VIN code feature library; the detailed implementation can be referred to the related description of step S11 in the above method embodiment.
The determining module 35 is configured to determine that the certificate to be recognized is true if the first similarity is higher than a first preset threshold. The detailed implementation can be referred to the related description of step S11 in the above method embodiment.
The invention provides a device for identifying a certificate, which comprises: the acquisition module 31 is used for acquiring an original image, a fluorescence characteristic and a microscopic image of the certificate to be identified; the identification module 32 is configured to identify an original image and determine a target VIN code of a certificate to be identified; the extracting module 33 is configured to extract the microscopic features of the certificate to be identified from the microscopic image when the local VIN code feature library corresponding to the target VIN code exists, where the microscopic features include pattern features and character features of the certificate to be identified; the calculation module 34 is configured to calculate a first similarity between the microscopic features and corresponding pattern features and character features in the local VIN code feature library; the determining module 35 is configured to determine that the certificate to be recognized is true if the first similarity is higher than a first preset threshold.
By implementing the invention, the problems of low efficiency and easy error of manual identification of the certificate in the related technology are solved, and the collected original image, fluorescence characteristic and microscopic image of the certificate to be identified can be accurately compared with the local characteristic library, so that the efficiency and accuracy of certificate identification are improved, and the whole identification process of the certificate is recorded.
An embodiment of the present invention provides a system for identifying a certificate, as shown in fig. 4, including:
a placing plate 100 for accommodating the certificate to be identified;
the first camera component 200 is arranged on one side of the placing plate and is used for collecting an original image of the certificate to be identified; in this embodiment, the first camera component is configured to collect an original image of the to-be-identified certificate placed on the placing board 100, and is a global photo of the to-be-identified certificate, including a front image and a back image of the to-be-identified certificate.
The second camera shooting assembly 300 is arranged on the other side of the placing plate and is used for collecting the fluorescence characteristics of the certificate to be identified; in this embodiment, the second camera assembly is used to collect the fluorescence characteristics of the certificate to be identified placed on the placing board 100.
The third camera shooting assembly 400 is arranged on the same side of the placing plate as the first camera shooting assembly and is used for collecting a microscopic image of the certificate to be identified; in this embodiment, the third camera assembly is used for collecting the microscopic image of the certificate to be recognized placed on the placing board 100, and is a high-definition photo of the certificate to be recognized, including the front image and the back image of the certificate to be recognized.
A controller 500 for performing a verification identification based on the original image, the fluorescence feature and the microscopic image, the controller comprising a memory and a processor, wherein the memory stores a computer program, and the computer program is executed by the processor to implement the steps of the identification method of the certification as described in the above embodiments.
An embodiment of the present invention further provides a controller 500, as shown in fig. 5, the computer device may include a processor 41 and a memory 42, where the processor 41 and the memory 42 may be connected by a bus 40 or by other means, and fig. 5 takes the example of connection by the bus 40 as an example.
The processor 41 may be a Central Processing Unit (CPU). The Processor 41 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or combinations thereof.
The memory 42, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the method for identification of a credential in embodiments of the present invention. The processor 41 executes various functional applications and data processing of the processor, namely, implements the identification method of the certificate in the above-described method embodiment, by executing the non-transitory software program, instructions and modules stored in the memory 42.
The memory 42 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 41, and the like. Further, the memory 42 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 42 may optionally include memory located remotely from processor 41, which may be connected to processor 41 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 42 and when executed by the processor 41 perform the method of identification of a credential as in the embodiments shown in fig. 1 and 2.
The details of the computer device can be understood by referring to the corresponding related descriptions and effects in the embodiments shown in fig. 1 and fig. 2, and are not described herein again.
The embodiment of the present invention further provides a non-transitory computer readable medium, where the non-transitory computer readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method for recognizing a certificate as described in any one of the above embodiments, where the storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviation: HDD), or a Solid-State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (10)
1. A method for identifying a certificate is characterized by comprising the following steps:
collecting an original image, a fluorescence characteristic and a microscopic image of a certificate to be identified;
identifying the original image, and determining a target VIN code of the certificate to be identified;
when a local VIN code feature library corresponding to the target VIN code exists, extracting the microscopic features of the certificate to be identified from the microscopic image, wherein the microscopic features comprise the pattern features and the character features of the certificate to be identified;
calculating first similarity of the microscopic features and corresponding pattern features and character features in the local VIN code feature library;
and if the first similarity is higher than a first preset threshold value, judging that the certificate to be identified is true.
2. The method of claim 1, wherein the calculating a first similarity between the microscopic features and corresponding pattern features and text features in the local VIN code feature library comprises:
calculating pattern similarity according to the pattern features and corresponding pattern features in the local VIN code feature library;
calculating character similarity according to the character features and corresponding character features in the local VIN code feature library;
and calculating the first similarity according to a preset first weight coefficient, a preset second weight coefficient, the pattern similarity and the character similarity.
3. The method of claim 1, wherein when a local VIN code feature library corresponding to the target VIN code does not exist, calculating a second similarity of the fluorescence feature to a brand fluorescence feature map;
and if the second similarity is higher than a second preset threshold, judging that the certificate to be identified is true.
4. The method of claim 3, wherein the brand fluorescence profile is determined by:
determining host information and brand information of the certificate to be identified according to the target VIN code; and determining the brand fluorescent characteristic diagram of the certificate to be identified in a preset brand fluorescent characteristic library according to the host information and the brand information.
5. The method of claim 4, further comprising:
and when the brand fluorescent characteristic diagram corresponding to the host information and the brand information does not exist in the preset brand fluorescent characteristic library, sending the original image of the certificate to be identified to a user terminal.
6. The method of claim 3, further comprising: and storing the characteristic information of the certificate to be identified which is verified to be true.
7. The method of claim 6, wherein the storing the characteristic information of the certificate to be identified verified as true comprises:
and updating the verification result of the certificate to be recognized as true, and sending the pattern characteristics and the character characteristics of the certificate to be recognized to a preset cloud database and a preset local database.
8. An apparatus for identification of a certification, comprising:
the acquisition module is used for acquiring an original image, a fluorescence characteristic and a microscopic image of the certificate to be identified;
the identification module is used for identifying the original image and determining a target VIN code of the certificate to be identified;
the extraction module is used for extracting the microscopic features of the to-be-identified certificate from the microscopic image when a local VIN code feature library corresponding to the target VIN code exists, wherein the microscopic features comprise pattern features and character features of the to-be-identified certificate;
the calculation module is used for calculating first similarity between the microscopic features and corresponding pattern features and character features in the local VIN code feature library;
and the determining module is used for judging that the certificate to be identified is true if the first similarity is higher than a first preset threshold value.
9. A system for identification of a certification, comprising:
the placing plate is used for accommodating the certificate to be identified;
the first camera shooting assembly is arranged on one side of the placing plate and used for collecting an original image of the certificate to be identified;
the second camera shooting assembly is arranged on the other side of the placing plate and is used for collecting the fluorescence characteristics of the certificate to be identified;
the third camera shooting assembly and the first camera shooting assembly are arranged on the same side of the placing plate and are used for collecting the microscopic image of the certificate to be identified;
a controller for performing a verification identification based on the original image, the fluorescence feature and the microscopic image, the controller comprising a memory and a processor, wherein the memory stores a computer program which, when executed by the processor, is adapted to perform the steps of the method of identification of a certification according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of identification of a certificate as claimed in any one of claims 1 to 7.
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| CN202011613619.1A CN112818746A (en) | 2020-12-30 | 2020-12-30 | Method, device and system for identifying certification |
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| CN202011613619.1A CN112818746A (en) | 2020-12-30 | 2020-12-30 | Method, device and system for identifying certification |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102007008683A1 (en) * | 2007-02-20 | 2008-08-21 | Micronas Gmbh | Apparatus and method for setting a sampling clock for broadband analog video signals |
| CN109740547A (en) * | 2019-01-04 | 2019-05-10 | 平安科技（深圳）有限公司 | A kind of image processing method, equipment and computer readable storage medium |
| CN109784322A (en) * | 2019-01-04 | 2019-05-21 | 平安科技（深圳）有限公司 | A kind of recognition methods of vin code, equipment and medium based on image procossing |
| CN111563501A (en) * | 2020-04-26 | 2020-08-21 | 北京立禾物联科技有限公司 | Certification identification device and method |
-
2020
- 2020-12-30 CN CN202011613619.1A patent/CN112818746A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102007008683A1 (en) * | 2007-02-20 | 2008-08-21 | Micronas Gmbh | Apparatus and method for setting a sampling clock for broadband analog video signals |
| CN109740547A (en) * | 2019-01-04 | 2019-05-10 | 平安科技（深圳）有限公司 | A kind of image processing method, equipment and computer readable storage medium |
| CN109784322A (en) * | 2019-01-04 | 2019-05-21 | 平安科技（深圳）有限公司 | A kind of recognition methods of vin code, equipment and medium based on image procossing |
| WO2020140611A1 (en) * | 2019-01-04 | 2020-07-09 | 平安科技（深圳）有限公司 | Vin code identification method based on image processing, device and medium |
| CN111563501A (en) * | 2020-04-26 | 2020-08-21 | 北京立禾物联科技有限公司 | Certification identification device and method |
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