CN111383082A - Intellectual property resource management system - Google Patents

Intellectual property resource management system Download PDF

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CN111383082A
CN111383082A CN202010253153.2A CN202010253153A CN111383082A CN 111383082 A CN111383082 A CN 111383082A CN 202010253153 A CN202010253153 A CN 202010253153A CN 111383082 A CN111383082 A CN 111383082A
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intellectual property
resource
module
fingerprint image
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郭健
杨薇
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Guangdong Gaohang Intellectual Property Operation Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0623Item investigation
    • G06Q30/0625Directed, with specific intent or strategy
    • G06Q30/0627Directed, with specific intent or strategy using item specifications
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/18Legal services
    • G06Q50/184Intellectual property management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1347Preprocessing; Feature extraction
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1365Matching; Classification

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Abstract

The invention provides an intellectual property resource management system, which comprises a storage module, a detection module, a storage module and an updating module, wherein the storage module is used for storing intellectual property resources; the storage module is used for storing the acquired intellectual property resource data to the intellectual property resource management system, and the intellectual property resource data comprises: legal status of intellectual property resources; the detection module is used for detecting the intellectual property resource data and judging whether the intellectual property resource data is in an authorized state; the storage module is used for storing intellectual property resource data in an authorized state; the updating module is used for updating the intellectual property resource data. According to the method and the system, the legal state is judged when the intellectual property resources are put in storage, and the legal state of the intellectual property resources is updated regularly after the intellectual property resources are put in storage, so that the legal state of the intellectual property resources is effectively managed.

Description

Intellectual property resource management system
Technical Field
The invention relates to the field of intellectual property service, in particular to an intellectual property resource management system.
Background
Intellectual property resources including trademarks, patents and the like are increasingly opened to the outside, and the development of the intellectual property industry is continuously and vigorously promoted by the nation, so that more and more intellectual property online trading platforms begin to appear, and the intellectual property resources are traded on the trading platforms as commodities. The legal status of the intellectual property resource is very important, and if the buyer does not know whether the intellectual property resource is in the effective status, the buyer will probably buy an invalid patent. Therefore, there is a need for a system that can effectively manage the legal status of intellectual property resources.
Disclosure of Invention
Aiming at the problems, the invention provides an intellectual property resource management system which comprises a warehousing module, a detection module, a storage module and an updating module; the storage module is used for storing the acquired intellectual property resource data to the intellectual property resource management system, and the intellectual property resource data comprises: legal status of intellectual property resources; the detection module is used for detecting the intellectual property resource data and judging whether the intellectual property resource data is in an authorized state; the storage module is used for storing intellectual property resource data in an authorized state; the updating module is used for updating the intellectual property resource data.
The intellectual property resource management system also comprises a delivery module used for deleting the intellectual property resource data from the intellectual property resource management system.
The intellectual property resource management system also comprises a login module used for verifying login information input by the user and ensuring that only the user passing the identity verification can use other modules in the intellectual property resource management system.
The intellectual property resource data also comprises a resource type, a resource name, a resource application number, a resource application date, a resource authorization announcement date, a resource major classification number, a resource price and a resource transaction state;
the resource types include patents and trademarks;
the resource transaction state is used for distinguishing whether the resource is sold or not, and the default state is unsold.
The detecting the intellectual property resource data to judge whether the intellectual property resource data is in an authorized state includes:
detecting the legal state, detecting the data of the intellectual property resource input by the user through a Chinese and multi-country examination information inquiry system, if the legal state of the intellectual property resource is detected to be an authorized state, the legal state of the intellectual property resource passes the detection, otherwise, the legal state of the intellectual property resource does not pass the detection.
The updating of the intellectual property resource data comprises updating of legal states, updating of resource prices and updating of resource transaction states;
the legal state is automatically updated by regularly connecting with a Chinese and multinational examination information inquiry system;
the resource price is updated in a manual input mode;
the resource transaction state is updated as follows: the system is used for updating the sale state of the corresponding intellectual property right according to the sale state of each intellectual property right resource, and concretely, if a certain intellectual property right resource is sold, the transaction state of the resource is changed into the sold state.
The invention has the beneficial effects that: according to the method and the system, the legal state is judged when the intellectual property resources are put in storage, and the legal state of the intellectual property resources is updated regularly after the intellectual property resources are put in storage, so that the legal state of the intellectual property resources is effectively managed.
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The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a diagram of an intellectual property resource management system according to an exemplary embodiment of the present invention.
Reference numerals:
the device comprises a storage module 1, a detection module 2, a storage module 3 and an updating module 4.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, the intellectual property resource management system of the present invention includes a storage module 1, a detection module 2, a storage module 3, and an update module 4;
the storage module 1 is configured to store the acquired intellectual property resource data to the intellectual property resource management system, where the intellectual property resource data includes: legal status of intellectual property resources;
the detection module 2 is used for detecting the intellectual property resource data and judging whether the intellectual property resource data is in an authorized state;
the storage module 3 is used for storing intellectual property resource data in an authorized state;
the updating module 4 is configured to update the intellectual property resource data.
In one embodiment, the intellectual property resource management system further comprises an ex-warehouse module, which is used for the user to delete the intellectual property resource data from the intellectual property resource management system.
In one embodiment, the intellectual property resource management system further comprises a login module for verifying login information input by the user to ensure that only authenticated users can use other modules in the intellectual property resource management system.
In one embodiment, the intellectual property resource data further includes a resource type, a resource name, a resource application number, a resource application date, a resource authorization announcement date, a resource major classification number, a resource price, and a resource transaction status;
the resource types include patents and trademarks;
the resource transaction state is used for distinguishing whether the resource is sold or not, and the default state is unsold.
In one embodiment, the detecting the intellectual property resource data to determine whether the intellectual property resource data is in an authorized state includes:
detecting the legal state, detecting the data of the intellectual property resource input by the user through a Chinese and multi-country examination information inquiry system, if the legal state of the intellectual property resource is detected to be an authorized state, the legal state of the intellectual property resource passes the detection, otherwise, the legal state of the intellectual property resource does not pass the detection.
In one embodiment, the updating the intellectual property resource data includes updating a legal status, updating a resource price, and updating a resource transaction status;
the legal state is automatically updated by regularly connecting with a Chinese and multinational examination information inquiry system;
the resource price is updated in a manual input mode;
the resource transaction state is updated as follows: the system is used for updating the sale state of the corresponding intellectual property right according to the sale state of each intellectual property right resource, and concretely, if a certain intellectual property right resource is sold, the transaction state of the resource is changed into the sold state.
In an embodiment, the intellectual property resource management system further includes a screening module, configured to screen the intellectual property resource data in the intellectual property resource management system according to a screening condition input by a user, and display a screening result.
In one embodiment, the login information is fingerprint image information of the user.
In another embodiment, the login information is an account number and a password.
In one embodiment, the login module comprises a fingerprint image quality judgment module, a fingerprint image cutting module, a fingerprint image graying module, a fingerprint image filtering module, a fingerprint image contrast adjustment module, a fingerprint image binarization module, a fingerprint image feature extraction module and a fingerprint image feature comparison module.
The fingerprint image quality judging module is used for judging whether the quality of the fingerprint image is qualified or not according to the first positions of the fingerprint image distributed in the fingerprint collector and the direction field of the fingerprint image, and transmitting the fingerprint image to the image cutting module when the fingerprint image is qualified;
the fingerprint image cutting module is used for determining a minimum external rectangle containing a fingerprint texture letter in the fingerprint image and taking an image in the minimum external rectangle as a first image;
the fingerprint image graying module is used for performing graying processing on the first image to obtain a second image;
the fingerprint image filtering module is used for carrying out filtering processing on the second image to obtain a third image after filtering processing;
the fingerprint image contrast adjusting module is used for adjusting the contrast of the third image, enhancing the detail information of a dark part and suppressing highlight to obtain a fourth image;
the fingerprint image binarization module is used for carrying out binarization processing on the fourth image to obtain a fifth image;
the fingerprint image feature extraction module is used for extracting feature data to be compared contained in the fifth image;
the fingerprint image characteristic comparison module is used for judging whether the characteristic data to be compared passes verification.
According to the embodiment of the invention, irrelevant pixel points in the fingerprint image are directly and greatly deleted, so that the subsequent processing module processes the image with a smaller area as much as possible, the identification efficiency of the login module is improved, and the use experience of a user is improved.
In one embodiment, the fingerprint image quality judgment module comprises a position judgment sub-module and a direction field judgment sub-module;
the position judgment submodule is used for judging a first position where the acquired fingerprint image is distributed in the fingerprint collector and comparing the first position with a second position where the fingerprint image which is collected at the previous time is distributed in the fingerprint collection, if the first position is the same as the second position, the user is prompted to input the fingerprint image again, and if not, the fingerprint image is sent to the direction field judgment submodule;
the direction field judgment submodule is used for calculating direction field data of the fingerprint image, comparing the direction field data with a preset direction field threshold value, if the direction field data is larger than the preset direction field threshold value, the fingerprint image is subjected to quality judgment and is transmitted to the fingerprint image cutting module, and otherwise, the user is prompted to input the fingerprint image again.
In the above embodiment of the present invention, the position is determined to prevent the input fingerprint image from being a residual image of the fingerprint image input by the previous person using the system, so as to improve the security of the system; the judgment of the direction field is to ensure that the input fingerprint image contains enough information, because the fingerprint image is easily affected by the hand sweat, the input fingerprint image is intermittent and incomplete. The embodiment judges the quality of the fingerprint image first, avoids useless work of subsequent processing and can also improve the safety of the system.
In one embodiment, the graying the first image to obtain the second image includes:
the fingerprint image graying module is used for performing graying processing on the first image by using a weighted average method to obtain a second image.
In one embodiment, the performing the filtering process on the second image to obtain a filtered third image includes:
dividing the second image into N blocks with equal area, and calculating the mean value of the gray values of the blocks for the nth block
Figure 848293DEST_PATH_IMAGE002
Variance of sum gray value
Figure 467493DEST_PATH_IMAGE003
Will be provided with
Figure 265685DEST_PATH_IMAGE004
Respectively comparing with preset threshold values avgvT and varT, if
Figure 995743DEST_PATH_IMAGE005
<avgvT and
Figure 664622DEST_PATH_IMAGE006
<varT, if the block belongs to the first type of block with smooth change and less foreground information, filtering the block by using an average filter;
otherwise, the block is filtered using the following method:
Figure 221768DEST_PATH_IMAGE007
in the formula (I), the compound is shown in the specification,
Figure 38414DEST_PATH_IMAGE008
representing the gray values of the pixel points (x, y) in said block,
Figure 306584DEST_PATH_IMAGE009
representing the gray value of the filtered pixel point (x, y) in the block;
Figure 361128DEST_PATH_IMAGE010
a set of pixel points representing a neighborhood of a preset size of pixel point (x, y); a represents a preset constant adjusting parameter; r represents the standard deviation of gaussian filtering; (i, j) representing pixel points in the neighborhood;
Figure 56551DEST_PATH_IMAGE011
representing a noise variance of the neighborhood;
Figure 563756DEST_PATH_IMAGE012
representing a variance of gray values of pixels of the neighborhood;
Figure 635617DEST_PATH_IMAGE013
expressing the mean value of the gray values of the pixels of the neighborhood;
Figure 308782DEST_PATH_IMAGE014
wherein afP (i, j) represents the gray value of the pixel point (i, j) in the neighborhood, C represents the scale variable,
Figure 175107DEST_PATH_IMAGE015
Figure 231924DEST_PATH_IMAGE016
in the formula, max (x, y) represents the maximum value of the gray value of the pixel point in the neighborhood, and min (x, y) represents the minimum value of the gray value of the pixel point in the neighborhood.
According to the embodiment of the invention, the blocks are partitioned during noise reduction, so that the problem of inaccurate noise reduction caused by using a global threshold is avoided. In a specific block, the gray value difference condition of the block is judged firstly, so that the type of the block is determined, when the foreground information of the block is less, the block is filtered by using mean filtering with a high noise reduction speed, when the foreground information is more, the influence of neighborhood pixel points of the pixel points on the block is fully considered, the gray mean, variance, noise variance and the like of the neighborhood are used for filtering, so that the real condition of the block can be more fully reflected by a filtering result, and when the weight of the pixel points of the block is calculated, the added correction function cor (x, y) can enhance the detail information of the image while filtering, and the image is prevented from being over-blurred after filtering.
In an embodiment, the performing contrast adjustment on the third image to enhance detail information of a dark portion and suppress highlights to obtain a fourth image specifically includes:
performing wavelet transformation on the third image to obtain a high-frequency coefficient hfc and a low-frequency coefficient lfc of the third image, and mapping a gray histogram Q1 of the low-frequency coefficient lfc to a (0, 255) interval to obtain a second histogram Q2;
performing histogram equalization processing on the second histogram Q2 to obtain a third histogram Q3;
mapping the third histogram Q3 to an interval INT to obtain a processed low-frequency coefficient alfc, wherein the interval INT is a value range of an abscissa of Q1;
wavelet reconstruction is performed on alfc and hfc to obtain a fourth image.
In the embodiment of the invention, when contrast adjustment is carried out, the wavelet transformation is carried out on the third image to be adjusted, and then the histogram equalization processing is carried out on the obtained wavelet low-frequency coefficient, so that the problem of detail loss caused by the traditional histogram equalization is avoided.
In one embodiment, the binarizing the fourth image to obtain a fifth image includes:
the fingerprint image binarization module is used for determining foreground pixel points in the fourth image, setting the gray value of the foreground pixel points to be 255, and setting the gray values of the rest pixel points to be 0, so that a fifth image subjected to binarization processing is obtained; the method specifically comprises the following steps:
acquiring the texture characteristics of each pixel:
Figure 576318DEST_PATH_IMAGE017
in the formula, the first and second organic solvents are,
Figure 402192DEST_PATH_IMAGE018
expressing a texture feature extraction scale variable, and intf (x, y) expressing the gray value of a pixel point (x, y) in the fourth image; s denotes an angle parameter, t denotes a wavelength parameter, S denotes a total number of filtering directions, zhb denotes a ratio of a length and a width of the fourth image, tj denotes an adjustment parameter, fre denotes a frequency parameter;
changing the values of s and t to obtain the texture features of each pixel point under different wavelengths and angles, t ∈ [1, nt],
Figure 439418DEST_PATH_IMAGE019
Ns denotes the total number of different angles, nt denotes the total number of different wavelengths,
fusing the texture features of ns different angles to obtain a fused image rh (x, y);
Figure 422679DEST_PATH_IMAGE020
and ar represents texture control parameters, the gray value of a pixel point in the fusion image rh (x, y) is compared with the foreground threshold qjthre, and the pixel point higher than the foreground threshold qjthre is used as a foreground pixel point.
According to the embodiment of the invention, the texture features of the foreground pixel points of the fourth image are extracted in a multi-angle and multi-wavelength mode, then the texture features are fused, the gray level comparison is carried out according to the pixel points in the fused image and the foreground threshold pixel points, so that the foreground pixel points are determined, and then the binarization processing is carried out. Such processing prevents the problem of inaccurate segmentation due to simple global threshold segmentation from being avoided. Meanwhile, the problem of high computational complexity caused by the solution of the function optimal solution by Otsu method and the like is avoided, and the image can be accurately binarized.
In one embodiment, the determining whether the feature data to be compared passes the verification includes:
the fingerprint image characteristic comparison module is used for matching the characteristic data to be compared with fingerprint characteristic data prestored in the intellectual property resource management system, and if the intellectual property resource management system finds that the fingerprint characteristic data with the matching degree higher than a threshold ppthre with the characteristic data to be compared exists, the fingerprint image characteristic comparison module indicates that the characteristic data to be compared passes verification.
According to the method and the system, the legal state is judged when the intellectual property resources are put in storage, and the legal state of the intellectual property resources is updated regularly after the intellectual property resources are put in storage, so that the legal state of the intellectual property resources is effectively managed.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (8)

1. An intellectual property resource management system is characterized by comprising a storage module, a detection module, a storage module and an updating module; the storage module is used for storing the acquired intellectual property resource data to the intellectual property resource management system, and the intellectual property resource data comprises: legal status of intellectual property resources; the detection module is used for detecting the intellectual property resource data and judging whether the intellectual property resource data is in an authorized state; the storage module is used for storing intellectual property resource data in an authorized state; the updating module is used for updating the intellectual property resource data.
2. The system of claim 1, further comprising a library module for deleting intellectual property resource data from the intellectual property resource management system.
3. The system of claim 1, further comprising a login module for verifying login information entered by the user to ensure that only authenticated users can use the system.
4. The system of claim 1, wherein the intellectual property resource data further comprises resource type, resource name, resource application number, resource application date, resource authorization announcement date, resource major classification number and resource price, resource transaction status; the resource types include patents and trademarks; the resource transaction state is used for distinguishing whether the resource is sold or not, and the default state is unsold.
5. The system of claim 1, wherein the detecting the intellectual property resource data to determine whether it is in an authorized state comprises: detecting the legal state, detecting the data of the intellectual property resource input by the user through a Chinese and multi-country examination information inquiry system, if the legal state of the intellectual property resource is detected to be an authorized state, the legal state of the intellectual property resource passes the detection, otherwise, the legal state of the intellectual property resource does not pass the detection.
6. The system of claim 1, wherein the update of the intellectual property resource data comprises an update of legal status, an update of resource price, and an update of resource transaction status; the legal state is automatically updated by regularly connecting with a Chinese and multinational examination information inquiry system; the resource price is updated in a manual input mode; the resource transaction state is updated as follows: the system is used for updating the sale state of the corresponding intellectual property right according to the sale state of each intellectual property right resource, and concretely, if a certain intellectual property right resource is sold, the transaction state of the resource is changed into the sold state.
7. The system of claim 3, wherein the login information is fingerprint image information of the user.
8. The intellectual property resource management system according to claim 3, wherein the login module comprises a fingerprint image quality judgment module, a fingerprint image cutting module, a fingerprint image graying module, a fingerprint image filtering module, a fingerprint image contrast adjustment module, a fingerprint image binarization module, a fingerprint image feature extraction module and a fingerprint image feature comparison module;
the fingerprint image quality judging module is used for judging whether the quality of the fingerprint image is qualified or not according to the first positions of the fingerprint image distributed in the fingerprint collector and the direction field of the fingerprint image, and transmitting the fingerprint image to the image cutting module when the fingerprint image is qualified;
the fingerprint image cutting module is used for determining a minimum external rectangle containing a fingerprint texture letter in the fingerprint image and taking an image in the minimum external rectangle as a first image;
the fingerprint image graying module is used for performing graying processing on the first image to obtain a second image;
the fingerprint image filtering module is used for carrying out filtering processing on the second image to obtain a third image after filtering processing; the fingerprint image contrast adjusting module is used for adjusting the contrast of the third image, enhancing the detail information of a dark part and suppressing highlight to obtain a fourth image;
the fingerprint image binarization module is used for carrying out binarization processing on the fourth image to obtain a fifth image;
the fingerprint image feature extraction module is used for extracting feature data to be compared contained in the fifth image;
the fingerprint image characteristic comparison module is used for judging whether the characteristic data to be compared passes verification.
CN202010253153.2A 2020-04-02 2020-04-02 Intellectual property resource management system Withdrawn CN111383082A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112102045A (en) * 2020-11-19 2020-12-18 北京梦知网科技有限公司 Method and system for discovering intellectual property transaction clues
US11650812B2 (en) 2020-12-11 2023-05-16 International Business Machines Corporation Asset identification for collaborative projects in software development

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112102045A (en) * 2020-11-19 2020-12-18 北京梦知网科技有限公司 Method and system for discovering intellectual property transaction clues
US11650812B2 (en) 2020-12-11 2023-05-16 International Business Machines Corporation Asset identification for collaborative projects in software development

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