CN113935866A - Contract management and control method - Google Patents
Contract management and control method Download PDFInfo
- Publication number
- CN113935866A CN113935866A CN202111143041.2A CN202111143041A CN113935866A CN 113935866 A CN113935866 A CN 113935866A CN 202111143041 A CN202111143041 A CN 202111143041A CN 113935866 A CN113935866 A CN 113935866A
- Authority
- CN
- China
- Prior art keywords
- contract
- template
- standard
- image
- draft
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000001514 detection method Methods 0.000 claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 13
- 238000006243 chemical reaction Methods 0.000 claims abstract description 9
- 238000000605 extraction Methods 0.000 claims abstract description 6
- 239000011159 matrix material Substances 0.000 claims description 23
- 238000012549 training Methods 0.000 claims description 12
- 238000012790 confirmation Methods 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 8
- 238000007639 printing Methods 0.000 claims description 8
- 230000006870 function Effects 0.000 claims description 6
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 238000013135 deep learning Methods 0.000 claims description 3
- 238000003780 insertion Methods 0.000 claims description 3
- 230000037431 insertion Effects 0.000 claims description 3
- 238000012552 review Methods 0.000 claims description 3
- 238000012546 transfer Methods 0.000 claims description 3
- 238000010023 transfer printing Methods 0.000 claims description 3
- 230000001915 proofreading effect Effects 0.000 claims description 2
- 230000009286 beneficial effect Effects 0.000 abstract description 5
- 238000007726 management method Methods 0.000 description 15
- 230000006399 behavior Effects 0.000 description 5
- 230000006872 improvement Effects 0.000 description 4
- 238000012216 screening Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008094 contradictory effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/18—Legal services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Business, Economics & Management (AREA)
- Artificial Intelligence (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Biomedical Technology (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Tourism & Hospitality (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Technology Law (AREA)
- Databases & Information Systems (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a contract management and control method, which comprises the following steps: 1, receiving a contract draft by an information source end, and generating a standard contract draft through format conversion; 2, the contract standard comparison module performs image recognition and feature extraction on the standard contract draft; comparing the standard contract draft with the contract templates in the contract template database, selecting the model with the maximum similarity value according to the similarity comparison, and performing model comparison adjustment to form a contract standard template; 4, transmitting the contract standard template into a contract detection module to analyze and adjust to form a contract final template; 5, the final contract template is encrypted and backed up to a contract database, and both contract parties use the decryption codes to check and modify. The method of the invention strengthens the management of the contract, carries out standardized processing on the contract and the template of the contract, and applies image encryption, thereby improving the confidentiality of the contract, having the reminding function for both parties of the contract, being beneficial to the complete execution of the contract and increasing the legal execution efficiency of the contract.
Description
Technical Field
The invention relates to the technical field of contract management, in particular to a contract management and control method.
Background
A contract or contract is a legal action that both parties act on the basis of meaning indicating agreement, and is a main expression of private autonomy. Generally, a contract refers to a legal action in private law and can be divided into a debt right contract, a property right contract and an identity contract, but there may be a contract relationship in public law. In the folk law, the narrow contract is one of the causes of the debt, and generally, the person who is called the contract belongs to the debt contract. Contract behavior is not equal to "contract behavior", one contract may contain more than one contract behavior; contract behavior is also not necessary to be written, and contracts are in principle the legal behavior of promise and junk, with exceptions where the law is required in the clear based on special considerations (e.g., public welfare). The contract is composed of two mutually contradictory meanings of both parties, including two basic meanings of an offer and a promise. An offer is a meaning that an ideogram issued by an ideator is to be committed by the opponent to take on some degree of privacy effectiveness. The commitment is a positive response to the offer, and the content of the commitment must be completely consistent with the content of the offer, otherwise, the commitment is a new offer and not a commitment. The attraction of the offer should be distinguished from the offer, which is not meant to mean, but is a concept notice, which is one of the standard legal actions and does not generate the restraint force.
The traditional contracts are mostly not beneficial to storage by adopting paper contracts, and are easy to damage and lose, although the problems are solved by the existence of electronic contracts, the defects still exist in the aspects of contract management and the normative storage of the contracts, and a contract management and control method is urgently needed, the contracts are subjected to normative processing, the confidentiality of the contracts is enhanced, a contract database is increased, and the management and comparison of the contracts are facilitated.
For example, the invention relates to the technical field of contract management, in particular to an automatic generation management method and electronic equipment of non-standardized acquisition and delivery contracts, which are disclosed in Chinese patent documents and have the publication number of "CN 112749270A", and comprises the following steps: s1, adding the contract template attribute field to the database index for contract template screening; s2, screening out all contract templates of the appointed supplier; s3, screening all contract templates of the appointed product types from the contract templates screened out in S2; s4, screening all contract templates of the appointed purchasing mode from the contract templates screened out in S3; s5, the contract template with the latest version is screened out from the screened contract templates, and the best contract template is obtained. The invention changes the manual contract template management mode into the automatic intelligent matching mode through the algorithm, thereby realizing the improvement of the working efficiency of personnel and the reduction of the group operation cost. The invention, however, is an improvement in the template field of contracts and involves only non-standardized procurement contracts, with no improvement to the contracts and other aspects of the contracts.
Disclosure of Invention
The invention provides a contract control method for solving the problems of lack of effective management, low normalization and confidentiality and lack of contract data comparison of the traditional paper contract and electronic contract, which is characterized in that the format conversion of the paper contract and the electronic contract is carried out, the image recognition and the feature extraction are carried out on a standard contract draft, the similarity of the standard contract draft and a contract template model is compared and matched and adjusted by utilizing a perception hash algorithm, the standard contract draft and the contract template model are analyzed and adjusted by entering each contract detection module, and finally the contract draft and the contract template model are stored through encryption processing. The method of the invention strengthens the management of the contract, carries out standardized processing on the contract and the template of the contract, and uses image encryption to improve the confidentiality of the contract, and simultaneously has the reminding function for both sides of the contract, thereby being beneficial to the complete execution of the contract and increasing the legal execution efficiency of the contract.
In order to achieve the purpose, the invention adopts the following technical scheme: a contract management and control method comprises the following steps:
s1, the information source end receives the proposed contract draft and generates the standard contract draft through format conversion;
s2, the contract standard comparison module carries out image recognition and feature extraction on the standard contract draft;
s3, comparing the standard contract draft with the contract template in the contract template database, selecting the model with the maximum similarity value for model comparison and adjustment according to the similarity comparison, and forming a contract standard template;
s4, transmitting the contract standard template into the contract detection module to analyze and adjust to form a contract final template;
and S5, encrypting the contract final template and backing up the encrypted template to a contract database, and viewing and modifying feedback by both contract parties by using the decryption codes.
The method comprises converting format of a contract draft received by an information source end, checking definition, transmitting file information to a contract standard comparison module, identifying an image of the standard contract draft, extracting and storing specific features in the image, comparing similarity with a deeply learned contract template in a contract template database, matching and adjusting the template with the highest similarity, detecting and adjusting the obtained contract standard template in a legal vocabulary identification module, a responsibility clause module, a payment and receipt time agreement reminding module, a contract progress detection module, a contract watermark and seal authority module and a contract transmission printing authority module in a contract detection module to obtain a final contract template, and performing reverse color operation after binaryzation of the image, and the reverse color operation is to exchange black and white of the binary image, convert the image into a digital matrix, perform encryption transformation by combining a time stamp, and perform timestamp removal and decryption operation on the encryption matrix after using a decryption code.
Preferably, the contract draft comprises a paper contract and an electronic contract, the contract draft is converted into a unified mode file and then definition proofreading is carried out, and if the definition is lower than a preset range, the contract draft fails and needs to be received again.
Preferably, the step S2 includes the steps of:
s21, the contract standard comparison module identifies the block image of the standard contract draft, and the specific block size is set according to the requirement;
s22, extracting the characteristics of the recognized image, wherein the characteristics comprise contract head-up, legal vocabulary, responsibility clauses, payment and receipt clauses and payment and receipt time;
s23, the image and the above features are stored separately, and all feature file names of the same image are added with the same binary time stamp for the purpose of classification.
Preferably, the step S3 includes the steps of:
s31, storing former contract final template in the contract template database, classifying the contract final template by contract type;
s32, storing the contract final template by image and characteristic;
s33, training a neural network, extracting training characteristics and generating a training sample;
s34, establishing a contract template model by adopting a deep learning mode based on the training samples;
and S35, comparing the similarity between the image and the characteristic of the standard contract draft and the image and the characteristic in the contract template model by using a perceptual hash algorithm, selecting the model with the maximum similarity value for matching, and finally adjusting to form the contract standard template.
Preferably, the contract detection module comprises a legal vocabulary identification module, a responsibility clause module, a payment and receipt time agreement reminding module, a contract performance progress detection module, a contract watermark and seal authority module and a contract transmission printing authority module;
legal vocabulary identification module: the method is used for identifying common contract words and phrases specified by the civil dictionary law and related laws and regulations, contains a plurality of languages, and can realize high-level conversion of the languages;
the responsibility clause module: identification confirmation for the account of the responsibility account;
a payment terms receiving module: for identifying confirmation of the terms of the receipt and payment and for classifying the size of the receipt and payment amount, the corresponding amount size being used to assess the risk level of the contract;
the collection and payment time appointment reminding module comprises: reminding the time appointment in the payment and receipt terms;
contract fulfillment progress detection module: for the progress of both contract parties, verifying contract fulfillment content at intervals, including personal information and transfer records permitted to be viewed by both contract parties;
contract watermark and seal authority module: the contract watermark and the seal need to be called by both contract parties and face recognition parties, and the watermark and the seal are automatically printed;
a contract transfer printing authority module: the transmission and printing of the contract are managed, and when the contract is transmitted to a third party other than both contract parties, confirmation is required in common by both contract parties.
Preferably, the encryption method of step S5 includes the following steps:
s51, dividing the image of the contract final template into N × M block images with equal size, wherein N and M are the row number and the column number of the image of the contract final template respectively;
s52, carrying out binarization processing on each block image to obtain a binarized image;
s53, performing a color reversal operation on the binary image and then performing digital processing, wherein black is represented by 0, white is represented by 1, and an n x n matrix is formed, wherein n is the row number and the column number of the binary image;
s54, because the value of n is generally less than 10, the last n bits of the binary timestamp are taken, the n bits of the timestamp correspond to n rows of the n × n matrix, the last n bits of the timestamp are inserted into the nth row of the matrix, the insertion position is that the first white color appears in each row, i.e. the front of 1, and the nth +1 row of the matrix is newly added, when n is an odd number, the first bit of the nth +1 row takes 1, the second bit starts to insert the last n bits of the timestamp from left to right, when n is an even number, the first bit of the nth +1 row takes 0, and the second bit starts to insert the last n bits of the timestamp from right to left, so as to obtain the encryption matrix of n + 1;
and S55, recombining and backing up the N M N +1 encryption matrixes to a contract database, and when the two parties of the contract check and modify, inputting the instantly generated decryption codes and then carrying out the operations of timestamp removal and decryption on the encryption matrixes.
Preferably, the reminding method of the promissory reminding module for the payment and receipt time specifically comprises the steps of automatically extracting time promissory information about payment and receipt terms in images and characteristics, triggering a reminding function if the time promissory information about the images and the characteristics is consistent, and sending first-level reminding information to terminals of two contract parties in the previous month of time promissory to remind the payment and receipt time; sending second-level reminding information to terminals of both parties of the contract to remind the payment receiving time in the week before the time appointment; on the day of time appointment, sending third-level reminding information to terminals of both parties of the contract to remind the payment receiving and paying time; the importance degrees of the first level reminding information, the second level reminding information and the third level reminding information are increased in sequence.
Preferably, the minimum requirement of similarity between the images and features of the standard contract draft and the images and features in the contract template model is 80%, and if the minimum requirement is lower than the minimum requirement, manual review is required.
Preferably, the contract final template in step S4 is simultaneously transmitted and stored in a contract template database, and the contract template database is connected to the contract database through a cloud.
Therefore, the invention has the following beneficial effects:
1. the invention provides a contract management and control method, which comprises the steps of converting formats of a paper contract and an electronic contract, carrying out image recognition and feature extraction on a standard contract draft, comparing and matching the similarity of the standard contract draft and a contract template model by using a perceptual hash algorithm, adjusting, effectively managing the contract, and carrying out standardized processing on the contract and the template of the contract;
2. the image encryption is used, and the security performance of the contract is improved. Meanwhile, the functions of reminding both parties of the contract are facilitated, the complete execution of the contract is facilitated, and the legal execution efficiency of the contract is improved.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention.
Detailed Description
Example 1
The embodiment provides a contract management and control method, referring to fig. 1, including the following steps:
s1, the information source end receives the proposed contract draft and generates the standard contract draft through format conversion;
s2, the contract standard comparison module carries out image recognition and feature extraction on the standard contract draft;
s21, the contract standard comparison module identifies the block image of the standard contract draft, and the specific block size is set according to the requirement;
s22, extracting the characteristics of the recognized image, wherein the characteristics comprise contract head-up, legal vocabulary, responsibility clauses, payment and receipt clauses and payment and receipt time;
s23, storing the image and the above features separately, adding the same binary time stamp to all feature file names of the same image for classification;
s3, comparing the standard contract draft with the contract template in the contract template database, selecting the model with the maximum similarity value for model comparison and adjustment according to the similarity comparison, and forming a contract standard template;
s31, storing former contract final template in the contract template database, classifying the contract final template by contract type;
s32, storing the contract final template by image and characteristic;
s33, training a neural network, extracting training characteristics and generating a training sample;
s34, establishing a contract template model by adopting a deep learning mode based on the training samples;
s35, comparing the similarity of the image and the characteristic of the standard contract draft with the image and the characteristic in the contract template model by using a perceptual hash algorithm, selecting the model with the maximum similarity value for matching, and finally adjusting to form a contract standard template;
s4, transmitting the contract standard template into the contract detection module to analyze and adjust to form a contract final template;
s5, encrypting the final contract template and backing up the template to the contract database, and checking and modifying feedback by both contract parties by using the decryption code;
s51, dividing the image of the contract final template into N × M block images with equal size, wherein N and M are the row number and the column number of the image of the contract final template respectively;
s52, carrying out binarization processing on each block image to obtain a binarized image;
s53, performing a color reversal operation on the binary image and then performing digital processing, wherein black is represented by 0, white is represented by 1, and an n x n matrix is formed, wherein n is the row number and the column number of the binary image;
s54, because the value of n is generally less than 10, the last n bits of the binary timestamp are taken, the n bits of the timestamp correspond to n rows of the n × n matrix, the last n bits of the timestamp are inserted into the nth row of the matrix, the insertion position is that the first white color appears in each row, i.e. the front of 1, and the nth +1 row of the matrix is newly added, when n is an odd number, the first bit of the nth +1 row takes 1, the second bit starts to insert the last n bits of the timestamp from left to right, when n is an even number, the first bit of the nth +1 row takes 0, and the second bit starts to insert the last n bits of the timestamp from right to left, so as to obtain the encryption matrix of n + 1;
and S55, recombining and backing up the N M N +1 encryption matrixes to a contract database, and when the two parties of the contract check and modify, inputting the instantly generated decryption codes and then carrying out the operations of timestamp removal and decryption on the encryption matrixes.
In the step S1, the contract draft includes a paper contract and an electronic contract, the contract draft is converted into a unified mode file and then subjected to definition verification, and if the definition is lower than a preset range, the contract draft is invalid and needs to be received again.
The contract detection module comprises a legal vocabulary identification module, a responsibility clause module, a payment clause receiving module, a payment time contract reminding module, a contract fulfillment progress detection module, a contract watermark and seal authority module and a contract transmission printing authority module; legal vocabulary identification module: the method is used for identifying common contract words and phrases specified by the civil dictionary law and related laws and regulations, contains a plurality of languages, and can realize high-level conversion of the languages;
the responsibility clause module: identification confirmation for the account of the responsibility account;
a payment terms receiving module: for identifying confirmation of the terms of the receipt and payment and for classifying the size of the receipt and payment amount, the corresponding amount size being used to assess the risk level of the contract;
the collection and payment time appointment reminding module comprises: reminding the time appointment in the payment and receipt terms;
contract fulfillment progress detection module: for the progress of both contract parties, verifying contract fulfillment content at intervals, including personal information and transfer records permitted to be viewed by both contract parties;
contract watermark and seal authority module: the contract watermark and the seal need to be called by both contract parties and face recognition parties, and the watermark and the seal are automatically printed;
a contract transfer printing authority module: the transmission and printing of the contract are managed, and when the contract is transmitted to a third party other than both contract parties, confirmation is required in common by both contract parties.
The reminding method of the payment and receipt time agreement reminding module comprises the steps of automatically extracting time agreement information about payment and receipt terms in images and characteristics, triggering a reminding function if the time agreement information of the images and the characteristics is consistent, and sending first-grade reminding information to terminals of two contract parties in the previous month of time agreement to remind the payment and receipt time; sending second-level reminding information to terminals of both parties of the contract to remind the payment receiving time in the week before the time appointment; on the day of time appointment, sending third-level reminding information to terminals of both parties of the contract to remind the payment receiving and paying time; the importance degrees of the first level reminding information, the second level reminding information and the third level reminding information are increased in sequence.
In step S3, the minimum requirement for similarity between the image and features of the standard contract draft and the image and features in the contract template model is 80%, and if the minimum requirement is lower, manual review is required.
And simultaneously transmitting the contract final template in the step S4 and storing the contract final template into a contract template database, wherein the contract template database is communicated with the contract database through a cloud.
The method comprises converting format of a contract draft received by an information source end, checking definition, transmitting file information to a contract standard comparison module, identifying an image of the standard contract draft, extracting and storing specific features in the image, comparing similarity with a deeply learned contract template in a contract template database, matching and adjusting the template with the highest similarity, detecting and adjusting the obtained contract standard template in a legal vocabulary identification module, a responsibility clause module, a payment and receipt time agreement reminding module, a contract progress detection module, a contract watermark and seal authority module and a contract transmission printing authority module in a contract detection module to obtain a final contract template, and performing reverse color operation after binaryzation of the image, the method of the invention strengthens the management of the contract, carries out standardization processing on the contract and the template of the contract, and utilizes the image encryption to improve the confidentiality of the contract, and simultaneously has the reminding function for both sides of the contract, thereby being beneficial to the complete execution of the contract and increasing the legal execution efficiency of the contract.
Example 2
By way of example, the encryption step of step S5 of the present invention is to divide the image of the contract final template into N × M block images of equal size, perform binarization processing on each block image, and perform an inverse color operation, that is, to perform black-and-white conversion on the color of each block image based on the binarized image, to obtain a 3 × 3 matrix, where the 3 × 3 matrix l is specifically:
then, the last 3 bits of the binary timestamp are taken, assuming that the timestamp is 1100001010100000011001110000100, the last three bits are taken as 100, 1 of 100 is inserted into the 3 rd row of the 3 × 3 matrix, 0 of 100 is inserted into the 2 nd row of the 3 × 3 matrix, 0 of 100 is inserted into the 1 st row of the 3 × 3 matrix, and n is an odd number, so that the first bit of the 4 th row is 1, and the second bit is inserted into 100 from left to right, so that the encryption matrix l1 of 4 is obtained:
n M4X 4 encryption matrixes are recombined, merged and backed up to a contract database, and when two contract parties view and modify the contracts, the encryption matrixes perform timestamp removal and decryption operations after instantly generated decryption codes are input.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. 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. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (9)
1. A contract management and control method is characterized by comprising the following steps:
s1, the information source end receives the proposed contract draft and generates the standard contract draft through format conversion;
s2, the contract standard comparison module carries out image recognition and feature extraction on the standard contract draft;
s3, comparing the standard contract draft with the contract template in the contract template database, selecting the model with the maximum similarity value for model comparison and adjustment according to the similarity comparison, and forming a contract standard template;
s4, transmitting the contract standard template into the contract detection module to analyze and adjust to form a contract final template;
and S5, encrypting the contract final template and backing up the encrypted template to a contract database, and viewing and modifying feedback by both contract parties by using the decryption codes.
2. The method for managing and controlling the contract according to claim 1, wherein the contract draft comprises a paper contract and an electronic contract, the contract draft is converted into a unified mode file and then subjected to definition proofreading, and if the definition is lower than a preset range, the contract draft fails and needs to be received again.
3. The contract management and control method according to claim 1, wherein the step S2 includes the steps of:
s21, the contract standard comparison module identifies the block image of the standard contract draft, and the specific block size is set according to the requirement;
s22, extracting the characteristics of the recognized image, wherein the characteristics comprise contract head-up, legal vocabulary, responsibility clauses, payment and receipt clauses and payment and receipt time;
s23, the image and the above features are stored separately, and all feature file names of the same image are added with the same binary time stamp for the purpose of classification.
4. The contract management and control method according to claim 1, wherein the step S3 includes the steps of:
s31, storing former contract final template in the contract template database, classifying the contract final template by contract type;
s32, storing the contract final template by image and characteristic;
s33, training a neural network, extracting training characteristics and generating a training sample;
s34, establishing a contract template model by adopting a deep learning mode based on the training samples;
and S35, comparing the similarity between the image and the characteristic of the standard contract draft and the image and the characteristic in the contract template model by using a perceptual hash algorithm, selecting the model with the maximum similarity value for matching, and finally adjusting to form the contract standard template.
5. The contract management and control method according to claim 1, wherein the contract detection module comprises a legal vocabulary recognition module, a responsibility clause module, a payment and receipt time agreement reminding module, a contract performance progress detection module, a contract watermark and seal authority module and a contract transmission printing authority module;
legal vocabulary identification module: the method is used for identifying common contract words and phrases specified by the civil dictionary law and related laws and regulations, contains a plurality of languages, and can realize high-level conversion of the languages;
the responsibility clause module: identification confirmation for the account of the responsibility account;
a payment terms receiving module: for identifying confirmation of the terms of the receipt and payment and for classifying the size of the receipt and payment amount, the corresponding amount size being used to assess the risk level of the contract;
the collection and payment time appointment reminding module comprises: reminding the time appointment in the payment and receipt terms;
contract fulfillment progress detection module: for the progress of both contract parties, verifying contract fulfillment content at intervals, including personal information and transfer records permitted to be viewed by both contract parties;
contract watermark and seal authority module: the contract watermark and the seal need to be called by both contract parties and face recognition parties, and the watermark and the seal are automatically printed;
a contract transfer printing authority module: the transmission and printing of the contract are managed, and when the contract is transmitted to a third party other than both contract parties, confirmation is required in common by both contract parties.
6. The method according to claim 1, wherein the encryption manner of step S5 includes the following steps:
s51, dividing the image of the contract final template into N × M block images with equal size, wherein N and M are the row number and the column number of the image of the contract final template respectively;
s52, carrying out binarization processing on each block image to obtain a binarized image;
s53, performing a color reversal operation on the binary image and then performing digital processing, wherein black is represented by 0, white is represented by 1, and an n x n matrix is formed, wherein n is the row number and the column number of the binary image;
s54, because the value of n is generally less than 10, the last n bits of the binary timestamp are taken, the n bits of the timestamp correspond to n rows of the n × n matrix, the last n bits of the timestamp are inserted into the nth row of the matrix, the insertion position is that the first white color appears in each row, i.e. the front of 1, and the nth +1 row of the matrix is newly added, when n is an odd number, the first bit of the nth +1 row takes 1, the second bit starts to insert the last n bits of the timestamp from left to right, when n is an even number, the first bit of the nth +1 row takes 0, and the second bit starts to insert the last n bits of the timestamp from right to left, so as to obtain the encryption matrix of n + 1;
and S55, recombining and backing up the N M N +1 encryption matrixes to a contract database, and when the two parties of the contract check and modify, inputting the instantly generated decryption codes and then carrying out the operations of timestamp removal and decryption on the encryption matrixes.
7. The contract management and control method according to claim 5, wherein the reminding method of the receipt and payment time agreement reminding module is specifically to automatically extract time agreement information about receipt and payment terms in the image and the feature, trigger a reminding function if the time agreement information of the image and the feature is consistent, and send first-level reminding information to terminals of both parties of the contract to remind the receipt and payment time in the previous month of the time agreement; sending second-level reminding information to terminals of both parties of the contract to remind the payment receiving time in the week before the time appointment; on the day of time appointment, sending third-level reminding information to terminals of both parties of the contract to remind the payment receiving and paying time; the importance degrees of the first level reminding information, the second level reminding information and the third level reminding information are increased in sequence.
8. The contract management and control method according to claim 4, wherein the minimum requirement for similarity between the images and features of the standard contract draft and the images and features in the contract template model is 80%, and if the minimum requirement is lower than the minimum requirement, manual review is required.
9. The method according to claim 1, wherein the contract final templates in step S4 are simultaneously transmitted and stored in a contract template database, and the contract template database is connected to the contract database through a cloud.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111143041.2A CN113935866A (en) | 2021-09-28 | 2021-09-28 | Contract management and control method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111143041.2A CN113935866A (en) | 2021-09-28 | 2021-09-28 | Contract management and control method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113935866A true CN113935866A (en) | 2022-01-14 |
Family
ID=79277113
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111143041.2A Pending CN113935866A (en) | 2021-09-28 | 2021-09-28 | Contract management and control method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113935866A (en) |
-
2021
- 2021-09-28 CN CN202111143041.2A patent/CN113935866A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8571317B2 (en) | Systems and methods for automatically processing electronic documents using multiple image transformation algorithms | |
| CN101593324B (en) | Method and system for network multi-level approval based on dependable computing application technique | |
| US20050036651A1 (en) | Digital anti&minus forging method | |
| US20060015733A1 (en) | Process and system for the material reduction of counterfeit and identity-maker fraud | |
| US20110249905A1 (en) | Systems and methods for automatically extracting data from electronic documents including tables | |
| CN105474230A (en) | Method, system and computer program for comparing images | |
| CN103049779A (en) | Method for generating and recognizing food safety liability insurance electronic policy two-dimensional code voucher | |
| KR101054107B1 (en) | A system for exposure retrieval of personal information using image features | |
| CN1691087B (en) | System and method for decoding digital coding image | |
| Jha et al. | Automation of cheque transaction using deep learning and optical character recognition | |
| CN101819645A (en) | The recognition engine that is used for pattern fonts based on the font input | |
| CN115409466A (en) | Data acquisition management system based on big data | |
| CN116842583B (en) | Electronic signature system and method with PDF signature as core | |
| CN113935866A (en) | Contract management and control method | |
| CN114863430A (en) | Automatic population information error correction method, device and storage medium thereof | |
| CN113626776A (en) | Information carrier concept attribute transfer and electronic signature printable method | |
| CN101727572A (en) | Method for ensuring image integrity by using file characteristics | |
| CN110460636A (en) | Data response method, device, computer equipment and storage medium | |
| JP6865797B2 (en) | Authenticity judgment method, information processing device, and program | |
| KR102566991B1 (en) | System for providing countersign service using fingerprint | |
| US11928748B1 (en) | Method and apparatus for scannable non-fungible token generation | |
| RU2739936C1 (en) | Method of adding digital labels to digital image and apparatus for realizing method | |
| Censoro | Document management system using optical character recognition, clustering, watermarking and QR coding algorithms | |
| CN117454426A (en) | Method, device and system for desensitizing and collecting information of claim settlement data | |
| Kotti et al. | MORPHED IMAGE DETECTION USING ELA AND CNN TECHNIQUES |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |