CN112749649A - Method and system for intelligently identifying and generating electronic contract - Google Patents
Method and system for intelligently identifying and generating electronic contract Download PDFInfo
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Abstract
The invention relates to a method and a system for intelligently identifying and generating an electronic contract, wherein the method comprises the following steps: acquiring an electronic contract document in a multi-layer PDF, single-layer PDF or picture format, and identifying text information of the electronic contract document; calling a form single domain identification algorithm to mark a region to be filled; identifying the region to be signed in the region to be filled, and dividing the field to be filled into the region to be signed and a basic data region; establishing a database of basic data, calling the database to fill the basic data area in batches and then generating each electronic contract; according to the situation that a large amount of contracts need to be signed, various basic information of employees is generally mastered by an enterprise in fact is considered, an electronic contract template file for batch filling operation is generated by intelligently identifying an electronic contract file in any PDF or picture format, contract preparation work is completed, a subsequent signing process is started, the working efficiency and the using experience of practitioners are greatly improved, and meanwhile unnecessary labor cost can be reduced.
Description
Technical Field
The invention relates to the technical field of information, in particular to a method and a system for intelligently identifying and generating an electronic contract.
Background
With the increasing application of electronic and intelligent applications to life and work scenes, electronic contracts have gradually replaced paper contracts as a necessary condition for paperless information services.
For example, enterprises and employees often need to sign various contracts such as labor contracts, labor agreements, assignment agreements and practice agreements, and often need batch signing instead of single signing, and the signed contract templates are various and often need to be updated and adjusted, so that technicians are required to adjust and modify the contract templates in a targeted manner every time adjustment or addition is carried out, and the work is time-consuming, labor-consuming and easy to make mistakes.
Disclosure of Invention
The invention provides a method and a system for intelligently identifying and generating an electronic contract, aiming at the technical problems in the prior art, and solves the problems of time and labor consumption in signing repeated contracts in the prior art.
The technical scheme for solving the technical problems is as follows: a method of intelligently identifying and generating electronic contracts, comprising:
step 1, acquiring an electronic contract document in a multi-layer PDF, single-layer PDF or picture format, and identifying text information of the electronic contract document;
step 2, calling a form single domain recognition algorithm to mark a region to be filled;
step 3, identifying the region to be signed in the region to be filled, and dividing the field to be filled into the region to be signed and a basic data region;
and 4, establishing a database of basic data, calling the database to fill the basic data area in batches, and then generating each electronic contract.
A system for intelligently identifying and generating electronic contracts, comprising: the system comprises a text information identification module, a to-be-filled region marking module, a to-be-signed region identification module and an electronic contract generation module;
the text information identification module is used for acquiring an electronic contract document in a multi-layer PDF, single-layer PDF or picture format and identifying text information of the electronic contract document;
the marking module of the area to be filled is used for calling a single-domain identification algorithm to mark the area to be filled;
the region to be signed identification module is used for identifying the region to be signed in the region to be filled and dividing the field to be filled into the region to be signed and a basic data region;
and the electronic contract generation module is used for establishing a database of basic data, calling the database to perform batch filling on the basic data area, and then generating each electronic contract.
The invention has the beneficial effects that: according to the method and the system for intelligently identifying and generating the electronic contract, provided by the invention, various basic information of staff is generally mastered by an enterprise in practice is considered for the condition that the contract needs to be signed in a large batch, the electronic contract template file for batch filling operation is generated by intelligently identifying the electronic contract file with any PDF or picture format, the database is called for batch filling, the contract preparation work is completed, the subsequent signing process is entered, the work efficiency and the use experience of practitioners are greatly improved, and meanwhile, the unnecessary labor cost can be reduced.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, when the electronic contract document obtained in step 1 is in a multi-layer PDF format, the process of identifying text information includes: and calling a PDF text stream operation interface to acquire all the text contents.
Further, when the electronic contract document obtained in step 1 is in a single-layer PDF or picture format, the process of identifying text information includes:
101, preprocessing a single-layer PDF or a picture, wherein the preprocessing comprises one or more of denoising processing, red chapter identification processing and angle adjustment;
the denoising processing process comprises the following steps: acquiring a gray histogram of a single-layer PDF or a picture, detecting and removing a part of a preset gray value pixel point which is distributed in a sheet shape according to the gray histogram;
the process of the red chapter identification processing comprises the following steps: when the single-layer PDF or the picture is detected to contain red chapters based on the color and the elliptical outline, carrying out white balance processing on an area in the red chapter outline of the single-layer PDF or the picture, and removing red components;
the angle adjustment process comprises the following steps: performing linear identification on the content of the single-layer PDF or the picture, and performing angle adjustment on the single-layer PDF or the picture based on the identified linear;
and 102, performing OCR image recognition on the preprocessed single-layer PDF or the picture, and converting picture information into text information.
Further, the step 1 is followed by: and calling a natural language processing algorithm to perform word segmentation processing on the text information.
Further, in the step 2, the area to be filled is marked based on sensitive words and/or marks, and the sensitive words are set according to experience;
the marks include colons, underlines, and blank areas.
Further, in the step 3, the identification of the region to be signed is performed based on a set term, where the set term includes: signature, signature or seal.
Further, the process of marking the region to be filled or identifying the region to be signed in step 2 and step 3 further includes: and checking the area to be filled or the area to be signed according to whether the area to be filled or the area to be signed contains a blank area.
Further, the contents of the database include employee profiles.
Further, step 4 is followed by:
recording the category and the generation date of the electronic contract, setting the time limit of the contract of each category, and carrying out contract temporary reminding based on the generation date and the corresponding time limit.
The beneficial effect of adopting the further scheme is that: the scheme can support electronic documents in any PDF or picture format, identify and acquire the filled form attributes from the electronic documents, call the subsequent content filling process, and generate signed documents in a point-to-point batch mode, and only the related signing parties need to carry out final signing work without repeatedly filling a plurality of basic information contents required in the contract.
Drawings
FIG. 1 is a flow chart of a method for intelligently identifying and generating electronic contracts provided by the present invention;
FIG. 2 is a block diagram illustrating an embodiment of a system for intelligently identifying and generating electronic contracts according to the present invention;
fig. 3 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
In the drawings, the components represented by the respective reference numerals are listed below:
101. the electronic contract signing system comprises a text information identification module 102, a to-be-filled region marking module 103, a to-be-signed region identification module 104, an electronic contract generation module 201, a processor 202, a communication interface 203, a memory 204 and a communication bus.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
Fig. 1 is a flowchart illustrating a method for intelligently identifying and generating an electronic contract according to the present invention, and as can be seen from fig. 1, the method includes:
step 1, acquiring an electronic contract document with a multi-layer PDF, single-layer PDF or picture format, and identifying text information of the electronic contract document.
And 2, calling a single domain identification algorithm to mark the region to be filled.
And 3, identifying the region to be signed in the region to be filled, and dividing the field to be filled into the region to be signed and the basic data region.
And 4, establishing a database of basic data, calling the database to fill the basic data area in batches, and then generating each electronic contract.
The invention provides a method for intelligently identifying and generating an electronic contract, which is based on an optical image recognition technology (OCR), a natural language recognition processing technology (word segmentation technology), a target attribute analysis technology (identifying which form fields are to be filled, which areas are to be signed and which areas are date areas from a plurality of text contents), and technologies of intelligently guiding required contents in a database to corresponding fields and finally filling the required contents to a proper position of a document, and the like, and considering the fact that an enterprise generally masters various basic information of employees, an electronic contract template file capable of being used for batch filling operation is generated by intelligently identifying an electronic contract file with any PDF or picture format according to the condition that a large batch of contracts are required, the database is called for batch filling, the contract preparation work is completed, and the subsequent signing process is entered, the work efficiency and the use experience of the practitioner are greatly improved, and meanwhile, unnecessary labor cost can be reduced.
Example 1
Embodiment 1 provided by the present invention is an embodiment of a method for intelligently identifying and generating an electronic contract, and the embodiment includes:
step 1, acquiring an electronic contract document with a multi-layer PDF, single-layer PDF or picture format, and identifying text information of the electronic contract document.
Preferably, the multi-layer PDF electronic document carries text information and position information of the text, so that the text information of the document can be directly analyzed and recognized without performing image OCR recognition conversion operation. Therefore, when the acquired electronic contract document is in the multi-layer PDF format, the process of identifying the text information includes: and calling a PDF text stream operation interface to acquire all the text contents.
When the electronic contract text is in a single-layer PDF or picture format, OCR (optical character recognition) and conversion operations need to be added, and the process of text information recognition comprises the following steps:
The denoising process comprises the following steps: and acquiring a gray histogram of the single-layer PDF or the picture, detecting and removing the part of the preset gray value pixel points which are distributed in a sheet shape according to the gray histogram.
The process of the red chapter identification processing includes: and when detecting that the single-layer PDF or the picture contains the red seal based on the color and the elliptical contour, carrying out white balance processing on the area in the red seal contour of the single-layer PDF or the picture, and removing the red component.
The angle adjustment process comprises the following steps: and carrying out straight line identification on the content of the single-layer PDF or the picture, and carrying out angle adjustment on the single-layer PDF or the picture based on the identified straight line.
And 102, performing OCR image recognition on the preprocessed single-layer PDF or the picture, and converting picture information into text information.
And calling a natural language processing algorithm to perform word segmentation processing on the text information.
And 2, calling a single domain identification algorithm to mark the region to be filled.
Preferably, in step 2, the area to be filled is marked based on sensitive vocabulary and/or marks, and the sensitive vocabulary is set according to experience, such as name, gender, address, party A and party B, which belong to the common attributes to be filled in the contract.
The marks include colons, underlines, and blank areas.
For example, "name: ___ "similar format pertains to a typical area to be filled, which will be labeled as a filled-with field. The region may then be determined by whether the property content to be signed can be identified.
And a large batch of contract training can be performed through a big data correlation technology to capture potential attribute areas to be filled.
And 3, identifying the region to be signed in the region to be filled, and dividing the field to be filled into the region to be signed and the basic data region.
Preferably, in step 3, the identification of the region to be signed is performed based on a set term, where the set term includes: signature, or seal, etc.
The areas for identifying the areas to be signed, the signature areas, the stamping areas and the automatic generation time are all used as special areas to be filled, namely the areas to be signed, although filling is needed, filling data do not need to be automatically captured, and the areas are left for subsequent related signing processes to operate.
Further, the process of marking the region to be filled or identifying the region to be signed in step 2 and step 3 further includes: and checking the area to be filled or the area to be signed according to whether the area to be filled or the area to be signed contains a blank area.
The text part of the document is determined to have interference elements similar to the words of the name but not to-be-filled fields, whether enough filling space exists or not is judged by combining the context to determine whether the filling space is reserved as a final to-be-filled area or a to-be-signed area, and the checking process can be judged by setting conditions and can also be manually checked.
And 4, establishing a database of basic data, calling the database to fill the basic data area in batches, and then generating each electronic contract.
The contents of the database include employee profiles.
Recording the category and the generation date of the electronic contract, setting the time limit of the contract of each category, and carrying out contract temporary reminding based on the generation date and the corresponding time limit.
In practical situations, the time limit of different types of contracts may be different, for example, the time limit of a labor contract may be higher than practice agreements such as labor agreements and dispatch agreements, and the time limit of each type of contract may be set according to practical situations, and if there is a temporary prompt for the contract, it may be determined whether there is a contract that is about to expire, and the prompt is performed for contract renewal or withdrawal.
Example 2
Embodiment 2 provided by the present invention is an embodiment of a system for intelligently identifying and generating an electronic contract provided by the present invention, and as shown in fig. 2, is a block diagram of a structure of an embodiment of a system for intelligently identifying and generating an electronic contract provided by the present invention, as can be seen from fig. 2, the system includes: a text information identification module 101, a to-be-filled region marking module 102, a to-be-signed region identification module 103 and an electronic contract generation module 104.
The text information identification module 101 is configured to acquire an electronic contract document in a multi-layer PDF, single-layer PDF, or picture format, and identify text information of the electronic contract document.
And the to-be-filled region marking module 102 is configured to invoke a form field identification algorithm to mark the to-be-filled region.
The area to be signed identifying module 103 is configured to identify an area to be signed in the area to be filled, and divide the field to be filled into the area to be signed and the basic data area.
And the electronic contract generating module 104 is configured to establish a database of basic data, call the database to perform batch filling on the basic data area, and generate each electronic contract.
Fig. 3 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the electronic device may include: the system comprises a processor 201, a communication interface 202, a memory 203 and a communication bus 204, wherein the processor 201, the communication interface 202 and the memory 203 are communicated with each other through the communication bus 204. The processor 201 may invoke a computer program stored on the memory 203 and executable on the processor 201 to perform the methods of intelligent identification and generation of electronic contracts provided by the various embodiments described above, including, for example: step 1, acquiring an electronic contract document with a multi-layer PDF, single-layer PDF or picture format, and identifying text information of the electronic contract document; step 2, calling a form single domain recognition algorithm to mark a region to be filled; step 3, identifying the region to be signed in the region to be filled, and dividing the field to be filled into the region to be signed and a basic data region; and 4, establishing a database of basic data, calling the database to fill the basic data area in batches, and then generating each electronic contract.
Embodiments of the present invention also provide a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the method for intelligently identifying and generating an electronic contract provided in the foregoing embodiments when executed by a processor, and the method includes: step 1, acquiring an electronic contract document with a multi-layer PDF, single-layer PDF or picture format, and identifying text information of the electronic contract document; step 2, calling a form single domain recognition algorithm to mark a region to be filled; step 3, identifying the region to be signed in the region to be filled, and dividing the field to be filled into the region to be signed and a basic data region; and 4, establishing a database of basic data, calling the database to fill the basic data area in batches, and then generating each electronic contract.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A method for intelligently identifying and generating electronic contracts, the method comprising:
step 1, acquiring an electronic contract document in a multi-layer PDF, single-layer PDF or picture format, and identifying text information of the electronic contract document;
step 2, calling a form single domain recognition algorithm to mark a region to be filled;
step 3, identifying the region to be signed in the region to be filled, and dividing the field to be filled into the region to be signed and a basic data region;
and 4, establishing a database of basic data, calling the database to fill the basic data area in batches, and then generating each electronic contract.
2. The method according to claim 1, wherein when the electronic contract document obtained in step 1 is in a multi-layer PDF format, the process of identifying the text information comprises: and calling a PDF text stream operation interface to acquire all the text contents.
3. The method according to claim 1, wherein when the electronic contract document obtained in step 1 is in single-layer PDF or picture format, the process of identifying text information comprises:
101, preprocessing a single-layer PDF or a picture, wherein the preprocessing comprises one or more of denoising processing, red chapter identification processing and angle adjustment;
the denoising processing process comprises the following steps: acquiring a gray histogram of a single-layer PDF or a picture, detecting and removing a part of a preset gray value pixel point which is distributed in a sheet shape according to the gray histogram;
the process of the red chapter identification processing comprises the following steps: when the single-layer PDF or the picture is detected to contain red chapters based on the color and the elliptical outline, carrying out white balance processing on an area in the red chapter outline of the single-layer PDF or the picture, and removing red components;
the angle adjustment process comprises the following steps: performing linear identification on the content of the single-layer PDF or the picture, and performing angle adjustment on the single-layer PDF or the picture based on the identified linear;
and 102, performing OCR image recognition on the preprocessed single-layer PDF or the picture, and converting picture information into text information.
4. The method of claim 1, further comprising, after step 1: and calling a natural language processing algorithm to perform word segmentation processing on the text information.
5. The method according to claim 4, wherein in step 2, the area to be filled is marked based on sensitive vocabulary and/or marks, wherein the sensitive vocabulary is set according to experience;
the marks include colons, underlines, and blank areas.
6. The method according to claim 4, wherein the identification of the region to be signed is performed in step 3 based on a set term, wherein the set term comprises: signature, signature or seal.
7. The method according to claim 4 or 5, wherein the step 2 and step 3 of marking the region to be filled or identifying the region to be signed further comprises: and checking the area to be filled or the area to be signed according to whether the area to be filled or the area to be signed contains a blank area.
8. The method of claim 1, wherein the contents of the database comprise employee profiles.
9. The method of claim 1, wherein step 4 is further followed by:
recording the category and the generation date of the electronic contract, setting the time limit of the contract of each category, and carrying out contract temporary reminding based on the generation date and the corresponding time limit.
10. A system for intelligently identifying and generating electronic contracts, the system comprising: the system comprises a text information identification module, a to-be-filled region marking module, a to-be-signed region identification module and an electronic contract generation module;
the text information identification module is used for acquiring an electronic contract document in a multi-layer PDF, single-layer PDF or picture format and identifying text information of the electronic contract document;
the marking module of the area to be filled is used for calling a single-domain identification algorithm to mark the area to be filled;
the region to be signed identification module is used for identifying the region to be signed in the region to be filled and dividing the field to be filled into the region to be signed and a basic data region;
and the electronic contract generation module is used for establishing a database of basic data, calling the database to perform batch filling on the basic data area, and then generating each electronic contract.
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| CN114677123A (en) * | 2022-04-19 | 2022-06-28 | 赵德群 | Management system for low-carbon green building supervision engineering project |
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