CN113158988A - Financial statement processing method and device and computer readable storage medium - Google Patents
Financial statement processing method and device and computer readable storage medium Download PDFInfo
- Publication number
- CN113158988A CN113158988A CN202110547961.4A CN202110547961A CN113158988A CN 113158988 A CN113158988 A CN 113158988A CN 202110547961 A CN202110547961 A CN 202110547961A CN 113158988 A CN113158988 A CN 113158988A
- Authority
- CN
- China
- Prior art keywords
- accounting
- financial statement
- subject
- template
- report
- 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.)
- Granted
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 35
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 86
- 238000004364 calculation method Methods 0.000 claims abstract description 72
- 238000000034 method Methods 0.000 claims abstract description 40
- 238000012545 processing Methods 0.000 claims abstract description 29
- 238000004458 analytical method Methods 0.000 claims description 18
- 238000002372 labelling Methods 0.000 claims description 14
- 238000006243 chemical reaction Methods 0.000 claims description 10
- 230000000007 visual effect Effects 0.000 claims description 9
- 238000012986 modification Methods 0.000 claims description 7
- 230000004048 modification Effects 0.000 claims description 7
- 230000006870 function Effects 0.000 description 6
- 238000004590 computer program Methods 0.000 description 5
- 238000012015 optical character recognition Methods 0.000 description 4
- 238000007405 data analysis Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000003058 natural language processing Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 241000699670 Mus sp. Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013479 data entry Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
- G06V30/41—Analysis of document content
- G06V30/412—Layout analysis of documents structured with printed lines or input boxes, e.g. business forms or tables
-
- 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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- 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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/12—Accounting
- G06Q40/125—Finance or payroll
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Artificial Intelligence (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Human Resources & Organizations (AREA)
- General Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Entrepreneurship & Innovation (AREA)
- General Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Quality & Reliability (AREA)
- Data Mining & Analysis (AREA)
- Tourism & Hospitality (AREA)
- Multimedia (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Technology Law (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The invention relates to the technical field of image processing, in particular provides a financial statement processing method, a financial statement processing device and a computer readable storage medium, and aims to solve the technical problem of reliably and efficiently acquiring and processing statement data of a financial statement. According to the method provided by the embodiment of the invention, text recognition can be carried out on the image of the financial statement, the accounting subjects contained in the financial statement, the accounting data of each accounting subject and the electronic financial statement template matched with the financial statement are determined according to the recognition result, then the accounting data are subjected to accounting calculation by adopting an accounting algorithm corresponding to the accounting subjects, and finally the accounting subjects, the accounting data and the accounting calculation result are respectively filled into the electronic financial statement template to form the electronic financial statement. Based on the embodiment, the corresponding electronic financial statements can be automatically generated only by collecting the image information of the paper financial statements, so that the mass paper financial statements can be quickly and accurately converted into the electronic financial statements.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to a financial statement processing method and device and a computer readable storage medium.
Background
The financial industry, such as banks, needs to collect paper financial statements (financial statements) periodically, such as monthly, and manually enter statement data in the financial statements into a financial system for data analysis. However, each financial report often contains a large amount of report data and the report systems of financial reports of different enterprises may be different, and when data entry is performed on a large batch of financial reports in a manual entry mode, the method is time-consuming and labor-consuming, and errors are very easy to occur.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks, the present invention is proposed to provide a financial statement processing method, apparatus and computer-readable storage medium that solve or at least partially solve the technical problem of how to reliably and efficiently collect and process statement data of a financial statement.
In a first aspect, a method for financial statement processing is provided, the method comprising:
performing text recognition on an image of a financial statement to acquire text information in the image;
performing semantic analysis on the text information, and determining accounting subjects contained in the financial statement and an electronic financial statement template matched with the financial statement;
accounting calculation is carried out on accounting data related to the accounting subjects in the text information by adopting a preset accounting algorithm corresponding to the accounting subjects;
and filling the accounting calculation result and the text information into the electronic financial statement template to form an electronic financial statement.
In one technical solution of the above financial statement processing method, "semantic analyzing the text information, and determining the accounting subjects contained in the financial statement and the electronic financial statement template matched with the financial statement" specifically includes:
performing semantic analysis on the text information, and respectively acquiring external text semantics of the text information positioned outside the table in the financial statement and internal text semantics of the text information positioned inside the table in the financial statement;
semantic matching is carried out on the external text semantics and template names of each preset electronic financial statement template respectively, and the electronic financial statement template matched with the financial statement is determined;
acquiring subject names of accounting subjects associated with the matched electronic financial statement template;
and performing semantic matching on the internal text semantics and each subject name of the accounting subject respectively, and determining the accounting subject contained in the financial statement.
In an embodiment of the above financial statement processing method, before the step of "obtaining a subject name of an accounting subject associated with the matched electronic financial statement template", the method further includes:
displaying the matched electronic financial statement template through a visual interface;
judging whether a report template adjusting instruction is received or not;
if so, acquiring a template name in the report template adjusting instruction, adjusting the matched electronic financial report template into an electronic financial report template corresponding to the template name, and then executing the step of acquiring a subject name of an accounting subject associated with the matched electronic financial report template according to the electronic financial report template corresponding to the template name;
if not, directly executing the step of obtaining the subject name of the accounting subject associated with the matched electronic financial statement template;
and/or the step of determining the accounting subjects contained in the financial statement specifically comprises:
respectively acquiring semantic matching degrees of the internal text semantics and the subject name of each accounting subject;
and acquiring the subject name of which the semantic matching degree is greater than or equal to a preset matching degree threshold, and determining the accounting subjects contained in the financial statement according to the subject name.
In an embodiment of the above financial statement processing method, after the step of "forming an electronic financial statement", the method further includes:
acquiring subject names with the semantic matching degree smaller than the preset matching degree threshold, taking the accounting subjects corresponding to the subject names as the accounting subjects with failed matching, and generating first type subject labeling information corresponding to the accounting subjects on the electronic financial statement so as to check and prompt the accounting subjects;
according to the accounting calculation result, acquiring accounting subjects with failed calculation, and generating second type subject labeling information corresponding to the accounting subjects on the electronic financial report so as to check and prompt the accounting subjects;
judging whether a report form checking and modifying instruction is received or not;
and if so, acquiring accounting subject modification information in the report checking and modifying instruction to modify the electronic financial report so as to determine a final electronic financial report.
In an embodiment of the above financial report processing method, when the number of the preset accounting algorithms corresponding to the accounting subjects is plural, the step of "performing accounting calculation on the accounting data related to the accounting subjects in the text information by using the preset accounting algorithms corresponding to the accounting subjects" specifically includes:
according to the execution sequence corresponding to each accounting algorithm, accounting calculation is carried out on the related accounting data by adopting each accounting algorithm in sequence;
the preset accounting algorithm corresponding to the accounting subjects comprises a negative value conversion algorithm and/or a trial balance algorithm and/or a data size comparison algorithm and/or a credit algorithm.
In a second aspect, there is provided a financial statement processing apparatus, the apparatus comprising:
the report text recognition module is configured to perform text recognition on an image of the financial report and acquire text information in the image;
a report template matching module configured to perform semantic analysis on the text information, and determine an accounting subject contained in the financial report and an electronic financial report template matched with the financial report;
a report data calculation module configured to perform accounting calculation on accounting data related to the accounting subject in the text information by using an accounting algorithm corresponding to the preset accounting subject;
and the electronic report forming module is configured to fill the result of the accounting calculation and the text information into the electronic financial report template to form an electronic financial report.
In an embodiment of the foregoing financial statement processing apparatus, the statement template matching module includes:
a semantic analysis submodule configured to perform semantic analysis on the text information, and respectively acquire an external text semantic of the text information located outside a table in the financial statement and an internal text semantic of the text information located inside the table in the financial statement;
a template matching sub-module configured to semantically match the external text semantics with a template name of each preset electronic financial statement template respectively, and determine an electronic financial statement template matched with the financial statement;
a first accounting subject matching sub-module configured to obtain a subject name of an accounting subject associated with the matched electronic financial reporting template;
and the second accounting subject matching sub-module is configured to perform semantic matching on the internal text semantics and each accounting subject name acquired by the first accounting subject matching sub-module respectively, and determine the accounting subjects contained in the financial statement.
In an aspect of the foregoing financial statement processing apparatus, the first accounting subject matching sub-module is further configured to perform the following operations:
displaying the matched electronic financial statement template through a visual interface;
judging whether a report template adjusting instruction is received or not;
if so, acquiring a template name in the report template adjusting instruction, adjusting the matched electronic financial report template into an electronic financial report template corresponding to the template name, and then executing the step of acquiring a subject name of an accounting subject associated with the matched electronic financial report template according to the electronic financial report template corresponding to the template name;
if not, directly executing the step of obtaining the subject name of the accounting subject associated with the matched electronic financial statement template;
and/or the second accounting subject matching sub-module is further configured to perform the following operations:
respectively acquiring semantic matching degrees of the internal text semantics and the subject name of each accounting subject;
and acquiring the subject name of which the semantic matching degree is greater than or equal to a preset matching degree threshold, and determining the accounting subjects contained in the financial statement according to the subject name.
In an aspect of the foregoing financial statement processing apparatus, the electronic statement forming module is further configured to perform the following operations:
acquiring subject names with the semantic matching degree smaller than the preset matching degree threshold, taking the accounting subjects corresponding to the subject names as the accounting subjects with failed matching, and generating first type subject labeling information corresponding to the accounting subjects on the electronic financial statement so as to check and prompt the accounting subjects;
according to the accounting calculation result, acquiring accounting subjects with failed calculation, and generating second type subject labeling information corresponding to the accounting subjects on the electronic financial report so as to check and prompt the accounting subjects;
judging whether a report form checking and modifying instruction is received or not;
and if so, acquiring accounting subject modification information in the report checking and modifying instruction to modify the electronic financial report so as to determine a final electronic financial report.
In one aspect of the above financial statement processing device, the statement data calculation module is further configured to perform accounting calculation on the accounting data related to the accounting subject in the text information by performing the following operations when the number of accounting algorithms corresponding to the preset accounting subject is plural:
according to the execution sequence corresponding to each accounting algorithm, accounting calculation is carried out on the related accounting data by adopting each accounting algorithm in sequence;
the preset accounting algorithm corresponding to the accounting subjects comprises a negative value conversion algorithm and/or a trial balance algorithm and/or a data size comparison algorithm and/or a credit algorithm.
In a third aspect, there is provided a control device comprising a processor and a storage device, wherein the storage device is adapted to store a plurality of program codes, and the program codes are adapted to be loaded and run by the processor to perform the financial statement processing method according to any of the above-mentioned financial statement processing method.
In a fourth aspect, there is provided a computer readable storage medium having stored therein a plurality of program codes adapted to be loaded and run by a processor to perform the financial statement processing method according to any one of the above-mentioned aspects of the financial statement processing method.
One or more technical schemes of the invention at least have one or more of the following beneficial effects:
in the technical scheme of the invention, the image of the financial statement can be subjected to text recognition, the accounting subjects contained in the financial statement, the accounting data of each accounting subject and the electronic financial statement template matched with the financial statement are determined according to the text recognition result, then the accounting data is subjected to accounting calculation by adopting an accounting algorithm corresponding to the accounting subjects, and finally the accounting subjects, the accounting data and the accounting calculation result are respectively filled into the electronic financial statement template to form the electronic financial statement. Based on the embodiment, the corresponding electronic financial statements can be automatically generated only by collecting the image information of the paper financial statements, so that the mass paper financial statements can be quickly and accurately converted into the electronic financial statements. In addition, aiming at the complex and changeable paper financial reports of report forms, the paper financial reports of different report forms can be uniformly converted into the electronic financial reports of the same report form through the electronic financial report form template, and the rapid analysis and processing of financial report forms of different report forms in large batch by financial report form analysts are facilitated.
Drawings
The disclosure of the present invention will become more readily understood with reference to the accompanying drawings. As is readily understood by those skilled in the art: these drawings are for illustrative purposes only and are not intended to constitute a limitation on the scope of the present invention. Wherein:
FIG. 1 is a flow chart illustrating the main steps of a financial statement processing method according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating the main steps of a financial statement processing method according to another embodiment of the present invention;
FIG. 3 is a flow diagram illustrating the main steps of accounting calculations for accounting data in financial statements, according to one embodiment of the present invention;
FIG. 4 is a main block diagram of the financial statement processing apparatus according to an embodiment of the present invention.
List of reference numerals:
11: a report text recognition module; 12: a report template matching module; 13: a report data calculation module; 14: and an electronic report forming module.
Detailed Description
Some embodiments of the invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and are not intended to limit the scope of the present invention.
In the description of the present invention, a "module" or "processor" may include hardware, software, or a combination of both. A module may comprise hardware circuitry, various suitable sensors, communication ports, memory, may comprise software components such as program code, or may be a combination of software and hardware. The processor may be a central processing unit, microprocessor, image processor, digital signal processor, or any other suitable processor. The processor has data and/or signal processing functionality. The processor may be implemented in software, hardware, or a combination thereof. Non-transitory computer readable storage media include any suitable medium that can store program code, such as magnetic disks, hard disks, optical disks, flash memory, read-only memory, random-access memory, and the like. The term "a and/or B" denotes all possible combinations of a and B, such as a alone, B alone or a and B. The term "at least one A or B" or "at least one of A and B" means similar to "A and/or B" and may include only A, only B, or both A and B. The singular forms "a", "an" and "the" may include the plural forms as well.
Aiming at the paper financial statements, the data in the financial statements are mainly corrected in a manual processing mode at present and are input into a computer software system such as a financial system, and because each financial statement contains a large number of accounting subjects and corresponding accounting data, if a manual processing method is still adopted to correct and input a large number of financial statements, the workload of manual processing can be greatly increased, and correction and/or input errors can easily occur. According to the financial statement processing method provided by the embodiment of the invention, the accounting subjects contained in the financial statement and the accounting data of each accounting subject can be automatically identified according to the image of the financial statement, corresponding accounting calculation can be carried out on the accounting data, and finally, the identified accounting subjects, the accounting data and the calculated accounting calculation result are filled into the electronic financial statement template to form the electronic financial statement. Based on the above embodiment, only the image information of the paper financial reports needs to be collected, and corresponding electronic financial reports can be automatically generated, and even for large batches of paper financial reports, each paper financial report can be quickly and accurately acquired through the above embodiment. Meanwhile, in practical application, the report forms of the paper financial reports can be diversified, the embodiment of the invention can uniformly convert the paper financial reports with different report forms into the electronic financial reports with the same report form through the electronic financial report form template, and is favorable for financial report analysts to quickly analyze and process the financial reports with different report forms in large batch.
In an example of an application scenario of the present invention, a financial statement processing apparatus according to an embodiment of the present invention is installed on a server of a certain bank and can be communicatively connected to a financial system preset on the server. When the bank needs to use the financial system to perform data analysis on all the paper financial statements collected in a month, the financial statement processing device can automatically output the electronic financial statements of each paper financial statement to the financial system only by inputting the images of the paper financial statements into the financial statement processing device, and then the bank can use the financial system to perform data analysis on the electronic financial statements.
Referring to FIG. 1, FIG. 1 is a flow chart illustrating the main steps of a financial statement processing method according to an embodiment of the present invention. As shown in fig. 1, the financial statement processing method in the embodiment of the present invention mainly includes the following steps S101 to S104.
Step S101: and performing text recognition on the image of the financial statement to acquire text information in the image.
In this embodiment, the image of the financial statement may be an image obtained by image-capturing the paper financial statement by using an image-capturing device, such as a camera or a scanner. The Image Format (Image Format) of the financial statement includes but is not limited to: JPEG and PDF formats. The text information refers to words, sentences, numbers, symbols, and the like contained in the image of the financial statement. It should be noted that, a person skilled in the art can flexibly select a text recognition method according to actual requirements to perform text recognition on the image of the financial statement. In one embodiment of the embodiment, the text recognition method can be used for performing text recognition on the image of the financial statement by adopting a method capable of performing text recognition and table recognition on the image simultaneously, and based on the embodiment, the table information (including but not limited to: the position of a cell in the table) of the financial statement and the text information recorded in the financial statement (including but not limited to: the text information recorded in the table, such as the text information recorded in the cell and the text information recorded outside the table) can be accurately recognized.
Step S102: and performing semantic analysis on the text information, and determining the accounting subjects contained in the financial statement and the electronic financial statement template matched with the financial statement.
In this embodiment, the electronic financial statement template refers to a template file generated according to a fixed format of a preset electronic financial statement. In this embodiment, the electronic financial statement templates corresponding to the financial statements of each type can be respectively generated according to the types of the financial statements. For example: if the electronic financial statement templates are classified according to the contents contained in the financial statements, the types of the financial statements can comprise an asset liability statement, a profit and loss statement and a cash flow statement, fixed versions corresponding to the asset liability statement, the profit and loss statement and the cash flow statement can be preset when the electronic financial statement templates are generated, and then corresponding electronic financial statement templates, namely the asset liability statement template, the profit and loss statement template and the cash flow statement template, are respectively generated according to each fixed version. In addition, in this embodiment, the financial statements may be further classified according to the industry types of the enterprises to which the financial statements belong, that is, the types of the financial statements may include not only the content types of the financial statements (the balance sheet, the profit and loss sheet, the cash flow sheet, and the like), but also the industry types of the enterprises to which the financial statements belong. For example: if a certain industry type is the financial industry, fixed versions corresponding to an asset liability statement, a profit and loss statement and a cash flow statement of the financial industry can be preset when the electronic financial statement template is generated, and then corresponding electronic financial statement templates, namely the asset liability statement template of the financial industry, the profit and loss statement template of the financial industry and the cash flow statement template of the financial industry, are generated according to each fixed version.
In this embodiment, Natural Language Processing (NLP) may be adopted to perform semantic analysis on the text information, and determine semantic information included in the text information, so as to determine which accounting subjects and information related to the type of the financial statement are included according to the semantic information, and further determine the accounting subjects included in the financial statement and an electronic financial statement template matched with the financial statement. Further, in one embodiment of the present embodiment, the accounting subjects contained in the financial statement and the electronic financial statement template matched with the financial statement may be determined through the following steps 11 to 14.
Step 11: and performing semantic analysis on the text information, and respectively acquiring the external text semantics of the text information positioned outside the table in the financial statement and the internal text semantics of the text information positioned inside the table in the financial statement.
The text information outside the table refers to text information recorded outside the table of the financial report, wherein the text information outside the table may include header information of the financial report such as a report name. The text information inside the table refers to the text information recorded inside the table of the financial statement, such as in a cell.
Step 12: and performing semantic matching on the external text semantics and the template name of each preset electronic financial statement template respectively, and determining the electronic financial statement template matched with the financial statement.
In this embodiment, the template name may be determined according to the type of the financial statement, for example, the template name may be a balance sheet template, or a balance sheet template in the financial industry. Further, in one embodiment, in order to improve the success rate of semantic matching, a plurality of different template names may be set for each electronic financial statement template, as long as the template names can refer to the same electronic financial statement template. When the external text semantics are semantically matched with the template name of a certain electronic financial statement template, if the external text semantics can be matched with at least one template name, the electronic financial statement template can be judged to be the electronic financial statement template matched with the current financial statement.
In the embodiment, the semantic matching degree between the external text semantic and the template name can be obtained, and whether the external text semantic is matched with the template name or not is judged according to the comparison result between the semantic matching degree and the preset first matching degree threshold. If the semantic matching degree is greater than or equal to a preset first matching degree threshold value, the external text semantic and the template name can be judged to be matched with each other, and if the semantic matching degree is smaller than the preset first matching degree threshold value, the external text semantic and the template name can be judged to be not matched with each other. The preset first matching degree threshold value represents the credibility of the mutual matching of the external text semantics and the template name.
In order to reduce the error rate of semantic matching, after the electronic financial statement template matched with the financial statement is determined through semantic matching, the matched electronic financial statement template can be displayed through a visual interface, so that a user can confirm whether the current financial statement and the electronic financial statement template are matched with each other or not. When the confirmation does not match, the electronic financial statement template can be adjusted. Specifically, in an embodiment of the present embodiment, the step 12 may further include the following steps 121 to 124, in addition to the above step of "semantically matching the external text semantics with the template name of each preset electronic financial reporting form template, and determining the electronic financial reporting form template matching the financial report".
Step 121: and displaying the matched electronic financial statement template through a visual interface. Step 122: and judging whether a report template adjusting instruction is received. If the report template adjustment instruction is received, go to step 123; if the report template adjustment instruction is not received, go to step 124. The report template adjusting instruction may be an instruction received through a preset human-computer interaction device, which includes but is not limited to: information entry devices such as keyboards, mice, and the like. Step 123: and acquiring the template name in the report template adjusting instruction, adjusting the matched electronic financial report template into the electronic financial report template corresponding to the template name, and then turning to the step 13. Step 124: step 13 is performed directly.
Step 13: and acquiring the subject name of the accounting subject associated with the electronic financial statement template matched in the step 12. Wherein the accounting subjects associated with the electronic financial statements template may be associated when the electronic financial statements template is generated.
Step 14: and (4) performing semantic matching on the internal text semantics and the subject name of each accounting subject obtained in the step (13) respectively to determine the accounting subjects contained in the financial statement.
In this embodiment, in order to improve the success rate of semantic matching, a plurality of different subject names may be set for each accounting subject, as long as the subject names can refer to the same accounting subject. When the internal text semantics are semantically matched with the subject names of a certain accounting subject, if the internal text semantics can be matched with at least one subject name, the fact that the accounting subject is contained in the current financial statement can be judged.
In the embodiment, the semantic matching degree between the internal text semantic and the subject name can be obtained, and whether the internal text semantic is matched with the template name or not is judged according to the comparison result between the semantic matching degree and the preset second matching degree threshold. If the semantic matching degree is greater than or equal to a preset second matching degree threshold value, the internal text semantic and the subject name can be judged to be matched with each other, and if the semantic matching degree is smaller than the preset second matching degree threshold value, the internal text semantic and the subject name can be judged to be not matched with each other. And the preset second matching degree threshold value represents the credibility of mutual matching of the internal text semantics and the subject names. Specifically, in one embodiment, the accounting subject contained in the financial statement may be determined as follows from steps 141-142.
Step 141: and respectively acquiring the semantic matching degree of the internal text semantics and the subject name of each accounting subject. Step 142: and acquiring the subject name with the semantic matching degree larger than or equal to a preset matching degree threshold, and determining the accounting subjects contained in the financial statement according to the subject name. The preset matching degree threshold may be the preset second matching degree threshold.
Step S103: and accounting calculation is carried out on accounting data related to the accounting subjects in the text information by adopting an accounting algorithm corresponding to the preset accounting subjects.
Accounting algorithms can be set for corresponding accounting subjects according to accounting calculation requirements in the embodiment. For example: if the accounting calculation requirements comprise trial balance calculation requirements, accounting subjects relevant to the trial balance calculation requirements can be determined firstly, and then trial balance algorithms are set for the accounting subjects, so that the trial balance algorithms can be called to perform trial balance calculation on the accounting data of the accounting subjects.
Further, can set up one or more accounting algorithm for accounting subject according to accounting calculation demand in this embodiment, can set up the execution order of every accounting algorithm when the quantity of the accounting algorithm that preset accounting subject corresponds is a plurality of to can use every accounting algorithm to carry out accounting calculation according to execution order in proper order when carrying out accounting calculation. Specifically, in an embodiment of the present embodiment, when it is determined that the number of accounting algorithms corresponding to the preset accounting subject is multiple, the accounting calculation may be performed on the related accounting data by sequentially adopting each accounting algorithm according to the execution sequence corresponding to each accounting algorithm. In this embodiment, the accounting algorithm corresponding to the preset accounting subject may include a negative value conversion algorithm and/or a trial balance algorithm and/or a data size comparison algorithm and/or a credit algorithm. An example is as follows: if the accounting algorithm corresponding to the preset accounting subject is determined to comprise a negative value conversion algorithm, a credit algorithm and a trial balance algorithm with the execution sequence from first to last, the accounting data related to each algorithm can be subjected to accounting calculation by adopting the negative value conversion algorithm, the credit algorithm and the trial balance algorithm in sequence during accounting calculation. Specifically, referring to fig. 3, accounting calculations may be performed through the following steps S301 to S305.
Step S301: and acquiring the accounting subjects in the electronic financial statement template. Step S302: and determining an accounting algorithm corresponding to the accounting subject, wherein the accounting algorithm comprises a negative value conversion algorithm, a credit algorithm and a trial balance algorithm. Step S303: and accounting calculation is carried out on the related accounting data by adopting a negative value conversion algorithm. Step S304: accounting calculation is carried out on the related accounting data by adopting a credit algorithm. Step S305: and accounting calculation is carried out on the related accounting data by adopting a trial balance algorithm.
It should be noted that the accounting algorithms in this embodiment are conventional algorithms in the art, and for brevity of description, a specific algorithm principle of the accounting algorithm in this embodiment will not be described here.
Step S104: and filling the accounting calculation result and the text information into the electronic financial statement template to form an electronic financial statement.
In order to improve the accuracy of the result of the accounting calculation and the accuracy of the accounting subjects contained in the electronic financial report, the result of the accounting calculation and the accuracy of the accounting subjects contained in the electronic financial report can be displayed through a visual interface after the electronic financial report is formed, so that a user can confirm whether the result of the accounting calculation and the accounting subjects in the electronic financial report are accurate or not. Meanwhile, as can be seen from the foregoing step S102, the financial statement processing method according to the embodiment of the present invention determines the accounting subjects included in the financial statement in a semantic matching manner, so that there may be some accounting subjects included in the electronic financial statement module, but there are no accounting subjects matched with the electronic financial statement module in the financial statement, and these accounting subjects may be subjects that are not actually recorded in the financial statement, or subjects that have failed in semantic matching although they are recorded in the financial statement. To this, also can show these accounting subjects through visual interface, the suggestion user checks affirmation to these accounting subjects, further improves accounting calculation's in the electron financial statement result accuracy and the accuracy of the accounting subject who contains. Specifically, in one implementation manner of the embodiment of the present invention, in addition to filling the electronic financial statement template with the result of the accounting calculation and the text information to form the electronic financial statement, the electronic financial statement may be checked by performing the following steps 21 to 23, and a final electronic financial statement is output.
Step 21: and acquiring subject names with semantic matching degrees smaller than a preset matching degree threshold, taking the accounting subjects corresponding to the subject names as the accounting subjects with matching failure, and generating first-class subject labeling information corresponding to the accounting subjects on the electronic financial statement so as to check and prompt the accounting subjects. The preset matching degree threshold may be a second matching degree threshold preset in step S102. Wherein, the first category subject labeling information includes but is not limited to: text information and image information.
Step 22: and according to the accounting calculation result, acquiring the accounting subjects with failed calculation and generating second type subject labeling information corresponding to the accounting subjects on the electronic financial statement so as to check and prompt the accounting subjects. Wherein the second category of subject labeling information includes but is not limited to: text information and image information.
Step 23: judging whether a report form checking and modifying instruction is received or not; and if so, acquiring accounting subject modification information in the report checking and modifying instruction to modify the electronic financial report so as to determine a final electronic financial report. The report modification information is determined according to report data modified according to actual needs, and the information can be a subject name of a certain accounting subject, an accounting calculation result of the certain accounting subject, and the like.
Referring to FIG. 2, FIG. 2 is a flow chart illustrating the main steps of a financial statement processing method according to another embodiment of the present invention. As shown in fig. 2, the financial statement processing method in the embodiment of the present invention mainly includes the following steps S201 to S209.
Step S201: and acquiring an image of the financial statement.
The image of the financial statement is similar to the image of the financial statement described in the foregoing method embodiment, and details are not repeated here.
Step S202: and performing table OCR recognition on the image of the financial statement.
Form OCR (Optical Character Recognition) Recognition refers to the form Recognition of financial statements based on OCR Recognition algorithms. Wherein, the table OCR recognition result includes but is not limited to: form information and text information in the financial statement.
Step S203: and matching the electronic financial statement templates.
The specific method for matching the electronic financial report template in this embodiment is similar to the method described in step S102 in the foregoing method embodiment, and is not described herein again.
Step S204: and correcting the electronic financial statement module.
The specific method for correcting the electronic financial reporting module in this embodiment is similar to the method described in steps 121 to 124 in the foregoing method embodiments, and is not described herein again.
Step S205: and (5) identifying accounting subjects.
The specific method for identifying accounting subjects in this embodiment is similar to the method for identifying text information in step S101 in the foregoing method embodiment, and is not described herein again.
Step S206: and matching accounting subjects.
The specific method for matching accounting subjects in this embodiment is similar to the method described in step S102 in the foregoing method embodiment, and is not repeated here.
Step S207: and (4) accounting calculation.
The specific method of accounting calculation in this embodiment is similar to the method described in step S103 in the foregoing method embodiment, and is not described herein again.
Step S208: and (5) checking the accounting subjects.
The specific method for checking the accounting subjects in this embodiment is similar to the method described in steps 21-23 in the previous embodiment, and is not repeated herein.
Step S209: and outputting the electronic financial statement.
It should be noted that, although the foregoing embodiments describe each step in a specific sequence, those skilled in the art will understand that, in order to achieve the effect of the present invention, different steps do not necessarily need to be executed in such a sequence, and they may be executed simultaneously (in parallel) or in other sequences, and these changes are all within the protection scope of the present invention.
Furthermore, the invention also provides a financial statement processing device.
Referring to fig. 4, fig. 4 is a main block diagram of a financial statement processing apparatus according to an embodiment of the present invention. As shown in fig. 4, the financial statement processing apparatus in the embodiment of the present invention mainly includes a statement text recognition module 11, a statement template matching module 12, a statement data calculation module 13, and an electronic statement forming module 14. In some embodiments, one or more of the report text recognition module 11, the report template matching module 12, the report data calculation module 13, and the electronic report forming module 14 may be combined together into one module. In some embodiments, the report text recognition module 11 may be configured to perform text recognition on the image of the financial report, and obtain text information in the image. The report template matching module 12 may be configured to perform semantic analysis on the text information, determine the accounting subjects contained in the financial reports and the electronic financial report template that matches the financial reports. The report data calculation module 13 may be configured to perform accounting calculation on accounting data related to an accounting subject in the text information by using an accounting algorithm corresponding to a preset accounting subject. The electronic report forming module 14 may be configured to fill the electronic financial report template with the calculated result and the text information to form the electronic financial report. In one embodiment, the description of the specific implementation function may refer to steps S101 to S104.
In one embodiment, the report template matching module 12 may include a semantic analysis sub-module, a template matching sub-module, a first accounting subject matching sub-module, and a second accounting subject matching sub-module. In this embodiment, the semantic analysis sub-module may be configured to perform semantic analysis on the text information, and respectively obtain an external text semantic of the text information located outside the table in the financial statement and an internal text semantic of the text information located inside the table in the financial statement. The template matching sub-module can be configured to semantically match the external text semantics with the template name of each preset electronic financial statement template respectively, and determine the electronic financial statement template matched with the financial statement. The first accounting subject matching sub-module may be configured to obtain a subject name of an accounting subject associated with the matched electronic financial reporting template. The second accounting subject matching sub-module may be configured to perform semantic matching on the internal text semantics and the subject name of each accounting subject acquired by the first accounting subject matching sub-module, respectively, to determine the accounting subject contained in the financial statement. In one embodiment, the description of the specific implementation function may be referred to in step S102.
In one embodiment, the first accounting subject matching submodule may be further configured to perform the following operations: displaying the matched electronic financial statement template through a visual interface; judging whether a report template adjusting instruction is received or not; if so, acquiring a template name in the report template adjusting instruction, adjusting the matched electronic financial report template into an electronic financial report template corresponding to the template name, and then executing the step of acquiring a subject name of an accounting subject associated with the matched electronic financial report template according to the electronic financial report template corresponding to the template name; and if not, directly executing the step of acquiring the subject name of the accounting subject associated with the matched electronic financial statement template. In one embodiment, the detailed description of the implementation function may be referred to in steps 121 to 124.
In one embodiment, the second accounting subject matching sub-module may be further configured to perform the following operations: respectively acquiring semantic matching degrees of the internal text semantics and the subject names of the accounting subjects; and acquiring the subject name with the semantic matching degree larger than or equal to a preset matching degree threshold, and determining the accounting subjects contained in the financial statement according to the subject name. In one embodiment, the description of the specific implementation function may be referred to in steps 141-142.
In one embodiment, the electronic report forming module 14 may be further configured to perform the following operations: acquiring subject names with semantic matching degrees smaller than a preset matching degree threshold, taking the accounting subjects corresponding to the subject names as the accounting subjects with matching failure, and generating first-class subject labeling information corresponding to the accounting subjects on the electronic financial statement to check and prompt the accounting subjects; according to the accounting calculation result, acquiring the accounting subjects with failed calculation, and generating second category subject labeling information corresponding to the accounting subjects on the electronic financial statement so as to check and prompt the accounting subjects; judging whether a report form checking and modifying instruction is received or not; and if so, acquiring accounting subject modification information in the report checking and modifying instruction to modify the electronic financial report so as to determine a final electronic financial report. In one embodiment, the specific implementation functions may be described in reference to steps 21-23.
In one embodiment, the report data calculation module 13 may be further configured to perform accounting calculation on accounting data related to an accounting subject in the text information by performing the following operations when the number of accounting algorithms corresponding to the preset accounting subject is plural: according to the execution sequence corresponding to each accounting algorithm, accounting calculation is carried out on related accounting data by adopting each accounting algorithm in sequence; the accounting algorithm corresponding to the preset accounting subjects comprises a negative value conversion algorithm and/or a test balance algorithm and/or a data size comparison algorithm and/or a credit algorithm. In one embodiment, the description of the specific implementation function may refer to that in step S103.
The above-mentioned financial statement processing apparatus is used for executing the embodiment of the financial statement processing method shown in fig. 1-3, and the technical principles, the solved technical problems and the generated technical effects of the two are similar, and it can be clearly understood by those skilled in the art that for convenience and simplicity of description, the detailed working process and related description of the financial statement processing apparatus may refer to the contents described in the embodiment of the financial statement processing method, and are not repeated here.
It will be understood by those skilled in the art that all or part of the flow of the method according to the above-described embodiment may be implemented by a computer program, which may be stored in a computer-readable storage medium and used to implement the steps of the above-described embodiments of the method when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying said computer program code, media, usb disk, removable hard disk, magnetic diskette, optical disk, computer memory, read-only memory, random access memory, electrical carrier wave signals, telecommunication signals, software distribution media, etc. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
Furthermore, the invention also provides a control device. In an embodiment of the control device according to the present invention, the control device comprises a processor and a storage device, the storage device may be configured to store a program for executing the financial statement processing method of the above-mentioned method embodiment, and the processor may be configured to execute the program in the storage device, the program including but not limited to the program for executing the financial statement processing method of the above-mentioned method embodiment. For convenience of explanation, only the parts related to the embodiments of the present invention are shown, and details of the specific techniques are not disclosed. The control device may be a control device apparatus formed including various electronic apparatuses.
Further, the invention also provides a computer readable storage medium. In one computer-readable storage medium embodiment according to the present invention, the computer-readable storage medium may be configured to store a program for executing the financial statement processing method of the above-described method embodiment, and the program may be loaded and executed by a processor to implement the above-described financial statement processing method. For convenience of explanation, only the parts related to the embodiments of the present invention are shown, and details of the specific techniques are not disclosed. The computer readable storage medium may be a storage device formed by including various electronic devices, and optionally, the computer readable storage medium is a non-transitory computer readable storage medium in the embodiment of the present invention.
Further, it should be understood that, since the configuration of each module is only for explaining the functional units of the apparatus of the present invention, the corresponding physical devices of the modules may be the processor itself, or a part of software, a part of hardware, or a part of a combination of software and hardware in the processor. Thus, the number of individual modules in the figures is merely illustrative.
Those skilled in the art will appreciate that the various modules in the apparatus may be adaptively split or combined. Such splitting or combining of specific modules does not cause the technical solutions to deviate from the principle of the present invention, and therefore, the technical solutions after splitting or combining will fall within the protection scope of the present invention.
So far, the technical solution of the present invention has been described with reference to one embodiment shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
Claims (12)
1. A financial statement processing method, characterized in that the method comprises:
performing text recognition on an image of a financial statement to acquire text information in the image;
performing semantic analysis on the text information, and determining accounting subjects contained in the financial statement and an electronic financial statement template matched with the financial statement;
accounting calculation is carried out on accounting data related to the accounting subjects in the text information by adopting a preset accounting algorithm corresponding to the accounting subjects;
and filling the accounting calculation result and the text information into the electronic financial statement template to form an electronic financial statement.
2. The financial statement processing method according to claim 1, wherein the step of semantically analyzing the text information to determine the accounting subjects contained in the financial statement and the electronic financial statement template matching the financial statement comprises:
performing semantic analysis on the text information, and respectively acquiring external text semantics of the text information positioned outside the table in the financial statement and internal text semantics of the text information positioned inside the table in the financial statement;
semantic matching is carried out on the external text semantics and template names of each preset electronic financial statement template respectively, and the electronic financial statement template matched with the financial statement is determined;
acquiring subject names of accounting subjects associated with the matched electronic financial statement template;
and performing semantic matching on the internal text semantics and each subject name of the accounting subject respectively, and determining the accounting subject contained in the financial statement.
3. The financial statement processing method according to claim 2, wherein prior to the step of obtaining the subject name of the accounting subject associated with the matched electronic financial statement template, the method further comprises:
displaying the matched electronic financial statement template through a visual interface;
judging whether a report template adjusting instruction is received or not;
if so, acquiring a template name in the report template adjusting instruction, adjusting the matched electronic financial report template into an electronic financial report template corresponding to the template name, and then executing the step of acquiring a subject name of an accounting subject associated with the matched electronic financial report template according to the electronic financial report template corresponding to the template name;
if not, directly executing the step of obtaining the subject name of the accounting subject associated with the matched electronic financial statement template;
and/or the like and/or,
the step of determining the accounting subjects contained in the financial statement specifically comprises the following steps:
respectively acquiring semantic matching degrees of the internal text semantics and the subject name of each accounting subject;
and acquiring the subject name of which the semantic matching degree is greater than or equal to a preset matching degree threshold, and determining the accounting subjects contained in the financial statement according to the subject name.
4. A financial statement processing method according to claim 3, wherein after the step of "forming an electronic financial statement", the method further comprises:
acquiring subject names with the semantic matching degree smaller than the preset matching degree threshold, taking the accounting subjects corresponding to the subject names as the accounting subjects with failed matching, and generating first type subject labeling information corresponding to the accounting subjects on the electronic financial statement so as to check and prompt the accounting subjects;
according to the accounting calculation result, acquiring accounting subjects with failed calculation, and generating second type subject labeling information corresponding to the accounting subjects on the electronic financial report so as to check and prompt the accounting subjects;
judging whether a report form checking and modifying instruction is received or not;
and if so, acquiring accounting subject modification information in the report checking and modifying instruction to modify the electronic financial report so as to determine a final electronic financial report.
5. The financial statement processing method according to claim 1, wherein, when the number of the predetermined accounting algorithms corresponding to the accounting subjects is plural, the step of performing accounting calculation on the accounting data related to the accounting subjects in the text information by using the predetermined accounting algorithms corresponding to the accounting subjects specifically comprises:
according to the execution sequence corresponding to each accounting algorithm, accounting calculation is carried out on the related accounting data by adopting each accounting algorithm in sequence;
the preset accounting algorithm corresponding to the accounting subjects comprises a negative value conversion algorithm and/or a trial balance algorithm and/or a data size comparison algorithm and/or a credit algorithm.
6. A financial statement processing apparatus, characterized in that the apparatus comprises:
the report text recognition module is configured to perform text recognition on an image of the financial report and acquire text information in the image;
a report template matching module configured to perform semantic analysis on the text information, and determine an accounting subject contained in the financial report and an electronic financial report template matched with the financial report;
a report data calculation module configured to perform accounting calculation on accounting data related to the accounting subject in the text information by using an accounting algorithm corresponding to the preset accounting subject;
and the electronic report forming module is configured to fill the result of the accounting calculation and the text information into the electronic financial report template to form an electronic financial report.
7. The financial statement processing apparatus according to claim 6, wherein the statement template matching module includes:
a semantic analysis submodule configured to perform semantic analysis on the text information, and respectively acquire an external text semantic of the text information located outside a table in the financial statement and an internal text semantic of the text information located inside the table in the financial statement;
a template matching sub-module configured to semantically match the external text semantics with a template name of each preset electronic financial statement template respectively, and determine an electronic financial statement template matched with the financial statement;
a first accounting subject matching sub-module configured to obtain a subject name of an accounting subject associated with the matched electronic financial reporting template;
and the second accounting subject matching sub-module is configured to perform semantic matching on the internal text semantics and each accounting subject name acquired by the first accounting subject matching sub-module respectively, and determine the accounting subjects contained in the financial statement.
8. The financial statement processing apparatus according to claim 7, wherein the first accounting subject matching submodule is further configured to:
displaying the matched electronic financial statement template through a visual interface;
judging whether a report template adjusting instruction is received or not;
if so, acquiring a template name in the report template adjusting instruction, adjusting the matched electronic financial report template into an electronic financial report template corresponding to the template name, and then executing the step of acquiring a subject name of an accounting subject associated with the matched electronic financial report template according to the electronic financial report template corresponding to the template name;
if not, directly executing the step of obtaining the subject name of the accounting subject associated with the matched electronic financial statement template;
and/or the like and/or,
the second accounting subject matching sub-module is further configured to perform the following operations:
respectively acquiring semantic matching degrees of the internal text semantics and the subject name of each accounting subject;
and acquiring the subject name of which the semantic matching degree is greater than or equal to a preset matching degree threshold, and determining the accounting subjects contained in the financial statement according to the subject name.
9. A financial statement processing device according to claim 8, wherein the electronic statement forming module is further configured to:
acquiring subject names with the semantic matching degree smaller than the preset matching degree threshold, taking the accounting subjects corresponding to the subject names as the accounting subjects with failed matching, and generating first class subject labeling information corresponding to the accounting subjects on the electronic financial statement so as to check and prompt accounting data related to the accounting subjects;
according to the accounting calculation result, acquiring accounting subjects with failed calculation and generating second type subject labeling information corresponding to the accounting subjects on the electronic financial report so as to check and prompt accounting data related to the accounting subjects;
judging whether a report form checking and modifying instruction is received or not;
and if so, acquiring report modification information in the report checking and modifying instruction to modify the electronic financial report so as to determine a final electronic financial report.
10. The financial statement processing device according to claim 6, wherein the statement data calculation module is further configured to perform accounting calculation on the accounting data related to the accounting subject in the text information by performing the following operations when the number of accounting algorithms corresponding to the preset accounting subject is plural:
according to the execution sequence corresponding to each accounting algorithm, accounting calculation is carried out on the related accounting data by adopting each accounting algorithm in sequence;
the preset accounting algorithm corresponding to the accounting subjects comprises a negative value conversion algorithm and/or a trial balance algorithm and/or a data size comparison algorithm and/or a credit algorithm.
11. A control apparatus comprising a processor and a storage device adapted to store a plurality of program codes, wherein said program codes are adapted to be loaded and run by said processor to perform the financial statement processing method of any one of claims 1 to 5.
12. A computer readable storage medium having stored therein a plurality of program codes, wherein said program codes are adapted to be loaded and executed by a processor to perform the financial statement processing method of any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110547961.4A CN113158988B (en) | 2021-05-19 | 2021-05-19 | Financial statement processing method, device and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110547961.4A CN113158988B (en) | 2021-05-19 | 2021-05-19 | Financial statement processing method, device and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113158988A true CN113158988A (en) | 2021-07-23 |
| CN113158988B CN113158988B (en) | 2024-04-05 |
Family
ID=76876602
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110547961.4A Active CN113158988B (en) | 2021-05-19 | 2021-05-19 | Financial statement processing method, device and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113158988B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113627351A (en) * | 2021-08-12 | 2021-11-09 | 达而观信息科技（上海）有限公司 | Method and device for matching financial and newspaper subjects, computer equipment and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11219394A (en) * | 1998-02-02 | 1999-08-10 | Kenji Omori | Automatic various financial chart input device |
| KR20060114097A (en) * | 2005-04-27 | 2006-11-06 | 최철규 | System and method for recognition of financial statement using optical character recognition |
| US20100202698A1 (en) * | 2009-02-10 | 2010-08-12 | Schmidtler Mauritius A R | Systems, methods, and computer program products for determining document validity |
| US20130051610A1 (en) * | 2008-01-18 | 2013-02-28 | Mitek Systems | Systems and methods for obtaining financial offers using mobile image capture |
| CN107133571A (en) * | 2017-04-11 | 2017-09-05 | 上海众开信息科技有限公司 | A kind of system and method that paper invoice is automatically generated to financial statement |
| CN110046337A (en) * | 2019-04-22 | 2019-07-23 | 厦门商集网络科技有限责任公司 | A kind of financial data acquisition method and its system |
| CN110674131A (en) * | 2019-08-30 | 2020-01-10 | 深圳壹账通智能科技有限公司 | Financial statement data processing method and device, computer equipment and storage medium |
| CN112036145A (en) * | 2020-09-01 | 2020-12-04 | 平安国际融资租赁有限公司 | Financial statement identification method and device, computer equipment and readable storage medium |
| CN112258308A (en) * | 2020-10-22 | 2021-01-22 | 江苏税软软件科技有限公司 | Accounting subject matching method in financial data |
-
2021
- 2021-05-19 CN CN202110547961.4A patent/CN113158988B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11219394A (en) * | 1998-02-02 | 1999-08-10 | Kenji Omori | Automatic various financial chart input device |
| KR20060114097A (en) * | 2005-04-27 | 2006-11-06 | 최철규 | System and method for recognition of financial statement using optical character recognition |
| US20130051610A1 (en) * | 2008-01-18 | 2013-02-28 | Mitek Systems | Systems and methods for obtaining financial offers using mobile image capture |
| US20100202698A1 (en) * | 2009-02-10 | 2010-08-12 | Schmidtler Mauritius A R | Systems, methods, and computer program products for determining document validity |
| CN107133571A (en) * | 2017-04-11 | 2017-09-05 | 上海众开信息科技有限公司 | A kind of system and method that paper invoice is automatically generated to financial statement |
| CN110046337A (en) * | 2019-04-22 | 2019-07-23 | 厦门商集网络科技有限责任公司 | A kind of financial data acquisition method and its system |
| CN110674131A (en) * | 2019-08-30 | 2020-01-10 | 深圳壹账通智能科技有限公司 | Financial statement data processing method and device, computer equipment and storage medium |
| CN112036145A (en) * | 2020-09-01 | 2020-12-04 | 平安国际融资租赁有限公司 | Financial statement identification method and device, computer equipment and readable storage medium |
| CN112258308A (en) * | 2020-10-22 | 2021-01-22 | 江苏税软软件科技有限公司 | Accounting subject matching method in financial data |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113627351A (en) * | 2021-08-12 | 2021-11-09 | 达而观信息科技（上海）有限公司 | Method and device for matching financial and newspaper subjects, computer equipment and storage medium |
| CN113627351B (en) * | 2021-08-12 | 2024-01-30 | 达观数据有限公司 | Matching method, device, computer equipment and storage medium for financial accounting subjects |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113158988B (en) | 2024-04-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111274782B (en) | Text auditing method and device, computer equipment and readable storage medium | |
| CN109344831B (en) | Data table identification method and device and terminal equipment | |
| US10755093B2 (en) | Hierarchical information extraction using document segmentation and optical character recognition correction | |
| US10402163B2 (en) | Intelligent data extraction | |
| CN107704479B (en) | File generation method and device | |
| US9286526B1 (en) | Cohort-based learning from user edits | |
| EP3428828B1 (en) | System and method for locating and correcting vulnerabilites in a target computer system | |
| CN109739957B (en) | Document information input method, device, equipment and storage medium based on data processing | |
| CN112966583A (en) | Image processing method, image processing device, computer equipment and storage medium | |
| US20140207631A1 (en) | Systems and Method for Analyzing and Validating Invoices | |
| CN107451112B (en) | Form tool data checking method, device, terminal equipment and storage medium | |
| CN116506223B (en) | Collaborative network protection method and system | |
| CN113642308B (en) | Data import method, system, device and storage medium based on data variability | |
| CN113158988B (en) | Financial statement processing method, device and computer readable storage medium | |
| CN112418813B (en) | AEO qualification intelligent rating management system and method based on intelligent analysis and identification and storage medium | |
| CN112559817A (en) | Report content checking method, system, computer equipment and storage medium | |
| CN109542890B (en) | Data modification method, device, computer equipment and storage medium | |
| CN109324963B (en) | Method for automatically testing profit result and terminal equipment | |
| CN115904482B (en) | Interface document generation method, device, equipment and storage medium | |
| CN113868210A (en) | Validity verification method, system, equipment and storage medium for imported data | |
| US8380690B2 (en) | Automating form transcription | |
| CN111797590A (en) | Data checking method, device and equipment | |
| US11978273B1 (en) | Domain-specific processing and information management using machine learning and artificial intelligence models | |
| CN112818937B (en) | Excel file identification method and device, electronic equipment and readable storage medium | |
| CN115757364A (en) | Data quality detection method and device |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |