CN111582015A - Multi-parameter analysis platform utilizing cloud storage - Google Patents
Multi-parameter analysis platform utilizing cloud storage Download PDFInfo
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- CN111582015A CN111582015A CN202010172992.1A CN202010172992A CN111582015A CN 111582015 A CN111582015 A CN 111582015A CN 202010172992 A CN202010172992 A CN 202010172992A CN 111582015 A CN111582015 A CN 111582015A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/32—Digital ink
- G06V30/36—Matching; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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Abstract
The invention relates to a multi-parameter analysis platform utilizing cloud storage, which comprises: the cloud storage equipment is used for storing each seal information corresponding to each user name, the seal information comprises a seal edge thickness range and a seal writing pattern, and the seal writing pattern is an image only comprising a writing part in an imaging image for making an electric plate of the seal; and the numerical analysis equipment is used for confirming that the stamp entity to be detected belongs to the user corresponding to the name to be detected when the received average thickness of the stamp edge is within the stamp edge thickness range corresponding to the name to be detected and a handwriting effective instruction is received, and otherwise, confirming that the stamp entity to be detected does not belong to the user corresponding to the name to be detected. The multi-parameter analysis platform utilizing cloud storage is stable in operation and compact in design. The seal verification of multiple parameters is adopted to replace the original seal verification of single parameter, so that the misjudgment of seal attribution is effectively avoided.
Description
Technical Field
The invention relates to the field of cloud data storage, in particular to a multi-parameter analysis platform utilizing cloud storage.
Background
The internet has emerged since 1960 and is mainly used for plain text e-mail or news cluster services between military parties, large enterprises and the like. The network has become a cloud computing concept of life necessities which can not be separated by people at present, is proposed for the first time in a search engine meeting in 8 months in 2006, and becomes a third revolution of the internet along with the development of web sites and electronic commerce.
In recent years, cloud computing is becoming a strategic focus of development of information technology industries, and information technology enterprises around the world are transformed into cloud computing in disputes. For example, each company needs to perform data informatization, store related operation data, perform product management, personnel management, financial management, and the like, and the basic device for performing data management is a computer.
If the cloud data storage technology is applied to the identification of the appearance of the seal, the reliability and the stability of seal authenticity detection can be effectively improved. However, no corresponding solution exists in the prior art.
Disclosure of Invention
In order to solve the related technical problems in the prior art, the invention provides a multi-parameter analysis platform stored by a cloud end, which can adopt various parameters to verify the appearance of a seal one by one so as to ensure the reliability of a verification result, and more importantly, a cloud storage device is introduced to store seal information corresponding to each user name, wherein the seal information comprises a seal edge thickness range and a seal handwriting pattern so as to finish effective verification on whether the seal belongs to a user to be verified.
Therefore, the present invention needs to have at least two important points:
(1) when the seal is verified, not only the appearance of the handwriting part in the seal is considered, but also the average thickness of the edge of the seal is considered, so that the accuracy of the seal verification result is ensured;
(2) the cloud storage device arranged at the cloud end is introduced and used for storing each seal information corresponding to each user name, the seal information comprises a seal edge thickness range and a seal writing pattern, the seal writing pattern is an image which only comprises a writing part in an imaging image for manufacturing an electric plate of the seal, and valuable reference data are provided for authenticity verification of the seal.
According to an aspect of the present invention, there is provided a multi-parameter parsing platform using cloud storage, the platform including:
the cloud storage device is arranged at a cloud position and used for storing seal information corresponding to each user name, wherein the seal information comprises a seal edge thickness range and a seal handwriting pattern, and the seal handwriting pattern is an image only comprising a handwriting part in an imaging image of an electronic plate for making the seal;
the content acquisition equipment is used for acquiring images of the stamp entity to be detected so as to acquire a corresponding entity acquisition image, and the user name corresponding to the stamp entity to be detected is used as the name to be detected;
the data filtering equipment is connected with the content acquisition equipment and is used for executing bilateral filtering processing on the received entity acquisition image so as to obtain and output a corresponding instant filtering image;
the signal blurring device is connected with the data filtering device and is used for blurring the background part in the instant filtering image to obtain and output a corresponding background blurring image;
the seal analyzing equipment is connected with the signal blurring equipment and used for analyzing a seal target occupying the largest number of pixel points from the background blurring image based on the color characteristics of the seal and outputting an image part where the analyzed seal target is located as a field seal pattern;
the thickness measuring equipment is connected with the seal analyzing equipment and used for extracting an image area where the seal edge is located from the field seal pattern based on the seal edge imaging characteristics, carrying out mean value calculation on the number of pixel points at each position of the seal edge based on the number of the pixel points occupied by each position of the seal edge in the traversal image area where the seal edge is located, and calculating the average thickness of the seal edge based on the mean value and the depth of field of the seal edge in the background circulating image;
the handwriting distinguishing equipment is connected with the stamp analyzing equipment and is used for identifying a handwriting part in the field stamp pattern and sending a handwriting effective instruction when the handwriting part in the field stamp pattern is consistent with the stamp handwriting pattern corresponding to the name to be detected in shape;
and the numerical analysis equipment is respectively connected with the thickness measurement equipment, the handwriting distinguishing equipment and the cloud storage equipment and is used for confirming that the stamp entity to be detected belongs to the user corresponding to the name to be detected when the received average thickness of the stamp edge is within the stamp edge thickness range corresponding to the name to be detected and a handwriting effective instruction is received, or else, confirming that the stamp entity to be detected does not belong to the user corresponding to the name to be detected.
The multi-parameter analysis platform utilizing cloud storage is stable in operation and compact in design. The seal verification of multiple parameters is adopted to replace the original seal verification of single parameter, so that the misjudgment of seal attribution is effectively avoided.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a simulation diagram of the operation of a multi-parameter parsing platform using cloud storage according to the present invention.
Fig. 2 is a block diagram illustrating a structure of a multi-parameter parsing platform using cloud storage according to a first embodiment of the present invention.
Fig. 3 is a block diagram illustrating a multi-parameter parsing platform using cloud storage according to a second embodiment of the present invention.
Detailed Description
Embodiments of a multi-parameter parsing platform using cloud storage according to the present invention will be described in detail below with reference to the accompanying drawings.
At present, electronic auxiliary verification modes exist for the verification of whether a seal belongs to a preset user, however, the auxiliary verification modes all adopt a single parameter to complete seal verification operation, for example, whether a seal font is matched with a font stored at a computer terminal or not or whether the thickness or the shape of a frame of the seal meets a preset numerical value requirement or not. Obviously, the verification patterns of these single parameter patterns are not objective enough, and further optimization and improvement are needed.
In order to overcome the defects, the invention builds a multi-parameter analysis platform utilizing cloud storage, and can effectively solve the corresponding technical problem.
Fig. 1 shows an operation simulation diagram of a multi-parameter analysis platform stored by a cloud, which is provided on the left side of fig. 1, for various unit or individual seals.
Subsequently, the technical solution of the present invention will be described in detail using one or more embodiments.
First embodiment
Fig. 2 is a block diagram illustrating a structure of a multi-parameter parsing platform using cloud storage according to a first embodiment of the present invention, where the platform includes:
the cloud storage device is arranged at a cloud position and used for storing seal information corresponding to each user name, wherein the seal information comprises a seal edge thickness range and a seal handwriting pattern, and the seal handwriting pattern is an image only comprising a handwriting part in an imaging image of an electronic plate for making the seal;
the content acquisition equipment is used for acquiring images of the stamp entity to be detected so as to acquire a corresponding entity acquisition image, and the user name corresponding to the stamp entity to be detected is used as the name to be detected;
the data filtering equipment is connected with the content acquisition equipment and is used for executing bilateral filtering processing on the received entity acquisition image so as to obtain and output a corresponding instant filtering image;
the signal blurring device is connected with the data filtering device and is used for blurring the background part in the instant filtering image to obtain and output a corresponding background blurring image;
the seal analyzing equipment is connected with the signal blurring equipment and used for analyzing a seal target occupying the largest number of pixel points from the background blurring image based on the color characteristics of the seal and outputting an image part where the analyzed seal target is located as a field seal pattern;
the thickness measuring equipment is connected with the seal analyzing equipment and used for extracting an image area where the seal edge is located from the field seal pattern based on the seal edge imaging characteristics, carrying out mean value calculation on the number of pixel points at each position of the seal edge based on the number of the pixel points occupied by each position of the seal edge in the traversal image area where the seal edge is located, and calculating the average thickness of the seal edge based on the mean value and the depth of field of the seal edge in the background circulating image;
the handwriting distinguishing equipment is connected with the stamp analyzing equipment and is used for identifying a handwriting part in the field stamp pattern and sending a handwriting effective instruction when the handwriting part in the field stamp pattern is consistent with the stamp handwriting pattern corresponding to the name to be detected in shape;
and the numerical analysis equipment is respectively connected with the thickness measurement equipment, the handwriting distinguishing equipment and the cloud storage equipment and is used for confirming that the stamp entity to be detected belongs to the user corresponding to the name to be detected when the received average thickness of the stamp edge is within the stamp edge thickness range corresponding to the name to be detected and a handwriting effective instruction is received, or else, confirming that the stamp entity to be detected does not belong to the user corresponding to the name to be detected.
Second embodiment
Fig. 3 is a block diagram illustrating a structure of a multi-parameter parsing platform using cloud storage according to a second embodiment of the present invention, where the platform includes:
the field timing equipment is used for recording the detection time length of the seal entity to be detected of each time of the platform;
the data statistics device is connected with the field timing device and is used for performing statistics on the historical output data of the field timing device;
the cloud storage device is arranged at a cloud position and used for storing seal information corresponding to each user name, wherein the seal information comprises a seal edge thickness range and a seal handwriting pattern, and the seal handwriting pattern is an image only comprising a handwriting part in an imaging image of an electronic plate for making the seal;
the content acquisition equipment is used for acquiring images of the stamp entity to be detected so as to acquire a corresponding entity acquisition image, and the user name corresponding to the stamp entity to be detected is used as the name to be detected;
the data filtering equipment is connected with the content acquisition equipment and is used for executing bilateral filtering processing on the received entity acquisition image so as to obtain and output a corresponding instant filtering image;
the signal blurring device is connected with the data filtering device and is used for blurring the background part in the instant filtering image to obtain and output a corresponding background blurring image;
the seal analyzing equipment is connected with the signal blurring equipment and used for analyzing a seal target occupying the largest number of pixel points from the background blurring image based on the color characteristics of the seal and outputting an image part where the analyzed seal target is located as a field seal pattern;
the thickness measuring equipment is connected with the seal analyzing equipment and used for extracting an image area where the seal edge is located from the field seal pattern based on the seal edge imaging characteristics, carrying out mean value calculation on the number of pixel points at each position of the seal edge based on the number of the pixel points occupied by each position of the seal edge in the traversal image area where the seal edge is located, and calculating the average thickness of the seal edge based on the mean value and the depth of field of the seal edge in the background circulating image;
the handwriting distinguishing equipment is connected with the stamp analyzing equipment and is used for identifying a handwriting part in the field stamp pattern and sending a handwriting effective instruction when the handwriting part in the field stamp pattern is consistent with the stamp handwriting pattern corresponding to the name to be detected in shape;
and the numerical analysis equipment is respectively connected with the thickness measurement equipment, the handwriting distinguishing equipment and the cloud storage equipment and is used for confirming that the stamp entity to be detected belongs to the user corresponding to the name to be detected when the received average thickness of the stamp edge is within the stamp edge thickness range corresponding to the name to be detected and a handwriting effective instruction is received, or else, confirming that the stamp entity to be detected does not belong to the user corresponding to the name to be detected.
Next, a detailed structure of the multi-parameter analysis platform using cloud storage according to the above embodiments of the present invention will be further described.
In the multi-parameter analysis platform utilizing cloud storage: the handwriting distinguishing equipment is also used for sending a handwriting invalid instruction when the handwriting part in the field stamp pattern is inconsistent with the appearance of the stamp handwriting pattern corresponding to the name to be detected; the handwriting distinguishing equipment, the seal analyzing equipment and the thickness measuring equipment are arranged around the content acquiring equipment.
In the multi-parameter analysis platform utilizing cloud storage: the thickness measuring equipment is also used for sending a thickness accurate instruction when the received average thickness of the seal edge is within the seal edge thickness range corresponding to the name to be detected; the data filtering device, the signal blurring device and the stamp analyzing device are respectively realized by adopting ASIC chips with different maximum operation quantities.
In the multi-parameter analysis platform utilizing cloud storage: the thickness measuring equipment is further used for sending out a thickness deviation instruction when the received average thickness of the seal edge is not within the range of the thickness of the seal edge corresponding to the name to be detected.
In the multi-parameter analysis platform utilizing cloud storage: calculating the average thickness of the seal edge based on the average value and the depth of field of the seal edge in the background circulating image, wherein the average thickness comprises the following steps: the larger the mean value is, the thicker the average thickness of the seal number is when the depth of field of the seal edge in the background circulating image is the same.
In the multi-parameter analysis platform utilizing cloud storage: calculating the average thickness of the seal edge based on the average value and the depth of field of the seal edge in the background circulating image, wherein the average thickness comprises the following steps: the deeper the depth of field of the seal edge in the background circulating image is, the thicker the average thickness of the seal number is when the average value is the same.
In the multi-parameter analysis platform utilizing cloud storage: in the information storage device, the user name is a name of an individual user or a name of a unit user.
In the multi-parameter analysis platform utilizing cloud storage: in the information storage device, the seal edge thickness range is a numerical range surrounded by the seal edge upper limit thickness and the seal edge lower limit thickness.
In the multi-parameter analysis platform utilizing cloud storage: in the information storage device, the writing part of the electric plate of the stamp is composed of one or more characters.
In addition, ASICs are divided into full-custom and semi-custom. Full-custom design requires designers to complete the design of all circuits, thus requiring a lot of manpower and material resources, good flexibility but low development efficiency. Full-custom can run faster than a semi-custom ASIC chip if the design is ideal. The semi-custom uses the Standard logic unit (Standard Cell) in the library, when designing, SSI (gate circuit), MSI (adder, comparator, etc.), data path (ALU, memory, bus, etc.), memory, even system level module (multiplier, microcontroller, etc.) and IP core can be selected from the Standard logic unit library, these logic units have been laid out, and the design is more reliable, so that the designer can complete the system design more conveniently. Modern ASICs often contain an entire 32-bit processor, memory units like ROM, RAM, EEPROM, Flash and other modules. Such an ASIC is often referred to as SoC (system on chip).
The FPGA is a close relative of an ASIC, a digital system is modeled generally through a schematic diagram and VHDL, EDA software is used for simulation and synthesis, a network table based on some standard libraries is generated, and the network table is configured to a chip to be used. The difference between it and ASIC is that the user has no need of intervening the layout and wiring of chip and the technological problem, and can change its logic function at any time, and its use is flexible.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. A multi-parameter resolution platform utilizing cloud storage, the platform comprising:
the cloud storage device is arranged at a cloud position and used for storing seal information corresponding to each user name, wherein the seal information comprises a seal edge thickness range and a seal handwriting pattern, and the seal handwriting pattern is an image only comprising a handwriting part in an imaging image of an electronic plate for making the seal;
the content acquisition equipment is used for acquiring images of the stamp entity to be detected so as to acquire a corresponding entity acquisition image, and the user name corresponding to the stamp entity to be detected is used as the name to be detected;
the data filtering equipment is connected with the content acquisition equipment and is used for executing bilateral filtering processing on the received entity acquisition image so as to obtain and output a corresponding instant filtering image;
the signal blurring device is connected with the data filtering device and is used for blurring the background part in the instant filtering image to obtain and output a corresponding background blurring image;
the seal analyzing equipment is connected with the signal blurring equipment and used for analyzing a seal target occupying the largest number of pixel points from the background blurring image based on the color characteristics of the seal and outputting an image part where the analyzed seal target is located as a field seal pattern;
the thickness measuring equipment is connected with the seal analyzing equipment and used for extracting an image area where the seal edge is located from the field seal pattern based on the seal edge imaging characteristics, carrying out mean value calculation on the number of pixel points at each position of the seal edge based on the number of the pixel points occupied by each position of the seal edge in the traversal image area where the seal edge is located, and calculating the average thickness of the seal edge based on the mean value and the depth of field of the seal edge in the background circulating image;
the handwriting distinguishing equipment is connected with the stamp analyzing equipment and is used for identifying a handwriting part in the field stamp pattern and sending a handwriting effective instruction when the handwriting part in the field stamp pattern is consistent with the stamp handwriting pattern corresponding to the name to be detected in shape;
and the numerical analysis equipment is respectively connected with the thickness measurement equipment, the handwriting distinguishing equipment and the cloud storage equipment and is used for confirming that the stamp entity to be detected belongs to the user corresponding to the name to be detected when the received average thickness of the stamp edge is within the stamp edge thickness range corresponding to the name to be detected and a handwriting effective instruction is received, or else, confirming that the stamp entity to be detected does not belong to the user corresponding to the name to be detected.
2. The multi-parameter analytics platform utilizing cloud storage of claim 1, wherein:
the handwriting distinguishing equipment is also used for sending a handwriting invalid instruction when the handwriting part in the field stamp pattern is inconsistent with the appearance of the stamp handwriting pattern corresponding to the name to be detected;
the handwriting distinguishing equipment, the seal analyzing equipment and the thickness measuring equipment are arranged around the content acquiring equipment.
3. The multi-parameter analytics platform utilizing cloud storage of claim 2, wherein:
the thickness measuring equipment is also used for sending a thickness accurate instruction when the received average thickness of the seal edge is within the seal edge thickness range corresponding to the name to be detected;
the data filtering device, the signal blurring device and the stamp analyzing device are respectively realized by adopting ASIC chips with different maximum operation quantities.
4. The multi-parameter analytics platform utilizing cloud storage of claim 3, wherein:
the thickness measuring equipment is further used for sending out a thickness deviation instruction when the received average thickness of the seal edge is not within the range of the thickness of the seal edge corresponding to the name to be detected.
5. The multi-parameter analytics platform utilizing cloud storage of claim 4, wherein:
calculating the average thickness of the seal edge based on the average value and the depth of field of the seal edge in the background circulating image, wherein the average thickness comprises the following steps: the larger the mean value is, the thicker the average thickness of the seal number is when the depth of field of the seal edge in the background circulating image is the same.
6. The multi-parameter analytics platform utilizing cloud storage of claim 5, wherein:
calculating the average thickness of the seal edge based on the average value and the depth of field of the seal edge in the background circulating image, wherein the average thickness comprises the following steps: the deeper the depth of field of the seal edge in the background circulating image is, the thicker the average thickness of the seal number is when the average value is the same.
7. The multi-parameter analytics platform utilizing cloud storage of claim 6, wherein:
in the information storage device, the user name is a name of an individual user or a name of a unit user.
8. The multi-parameter analytics platform utilizing cloud storage of claim 7, wherein:
in the information storage device, the seal edge thickness range is a numerical range surrounded by the seal edge upper limit thickness and the seal edge lower limit thickness.
9. The multi-parameter analytics platform utilizing cloud storage of claim 8, wherein:
in the information storage device, the writing part of the electric plate of the stamp is composed of one or more characters.
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| CN202010172992.1A CN111582015A (en) | 2020-03-13 | 2020-03-13 | Multi-parameter analysis platform utilizing cloud storage |
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| CN202010172992.1A CN111582015A (en) | 2020-03-13 | 2020-03-13 | Multi-parameter analysis platform utilizing cloud storage |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115684206A (en) * | 2022-09-27 | 2023-02-03 | 江阴旺达商务贴有限公司 | Multi-azimuth electrostatic sticker quality identification device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115684206A (en) * | 2022-09-27 | 2023-02-03 | 江阴旺达商务贴有限公司 | Multi-azimuth electrostatic sticker quality identification device |
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Address after: No.465, Qingyun North Road, Jinhua Town, Xinjin County, Chengdu City, Sichuan Province 610000 Applicant after: Li Yingchun Address before: No.99, Sheng'an Avenue, Binjiang Economic Development Zone, Jiangning District, Nanjing City, Jiangsu Province Applicant before: Li Yingchun |
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Application publication date: 20200825 |