CN111210328A - Voucher generation method and device, storage medium and electronic equipment - Google Patents
Voucher generation method and device, storage medium and electronic equipment Download PDFInfo
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- CN111210328A CN111210328A CN201911414969.2A CN201911414969A CN111210328A CN 111210328 A CN111210328 A CN 111210328A CN 201911414969 A CN201911414969 A CN 201911414969A CN 111210328 A CN111210328 A CN 111210328A
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Abstract
The present disclosure relates to a credential generation method and apparatus, a storage medium, and an electronic device, the method including: acquiring bill information, wherein the bill information comprises bill category information, and at least one group of project title information and project content information; determining a target template matched with the bill information based on pre-stored voucher template information, wherein the voucher template information comprises a voucher type and a subject type; and generating a target voucher according to the bill information and the target template.
Description
Technical Field
The present disclosure relates to the field of data processing, and in particular, to a credential generation method and apparatus, a storage medium, and an electronic device.
Background
In order to facilitate the user to check and record and manage the bills, various bills used in life, such as invoices, tax receipts, debt and the like, need to be stored in a voucher format. After electronic offices became popular, traditional paper vouchers also began to shift to electronic vouchers. After the user acquires the bill, the user needs to manually screen the content of the bill to determine the voucher type and the subject type corresponding to the bill, and manually input the data in the bill, so that the mode has low efficiency, and errors are easily caused by negligence of a person inputting the bill.
At present, a method for converting a paper certificate into an electronic certificate through character recognition exists, but the method is only limited to converting pictures in a certificate format into the electronic certificate, cannot directly convert a bill into the electronic certificate, and cannot solve the problem of low efficiency of manually recording the bill into the electronic certificate.
Disclosure of Invention
An object of the present disclosure is to provide a credential generation method and apparatus, a storage medium, and an electronic device, so as to solve the above technical problems.
In order to achieve the above object, a first aspect of the present disclosure provides a credential generation method. The method comprises the following steps: acquiring bill information, wherein the bill information comprises bill category information, and at least one group of project title information and project content information; determining a target template matched with the bill information based on pre-stored voucher template information, wherein the voucher template information comprises a voucher type and a subject type; and generating a target voucher according to the bill information and the target template.
Optionally, the acquiring the ticket information includes: acquiring a bill image, and identifying character information in the bill image; extracting bill category information and at least one group of project title information and project content information in the bill image from the text information based on a preset text extraction rule; and determining the bill category information and each group of the item title information and the item content information as the bill information.
Optionally, the determining a target template matching the ticket information from pre-stored credential templates includes: determining the voucher type in the target template according to the bill category information based on a preset template matching rule; determining the subject type in the target template according to the project title information based on the template matching rule; when the bill information contains two or more items of title information, the target template contains the same subject types as the items of title information in quantity.
Optionally, the generating a target credential according to the ticket information and the target template includes: and filling the item content information into a table corresponding to the subject type determined by the item title information for each group of the item title information and the item content information.
Optionally, after determining a target template matching the ticket information based on the pre-stored credential template information, the method further includes: acquiring the target template modified by the user; and taking the target template modified by the user as a new target template.
Optionally, the method further comprises: taking the voucher type modified by the user as the voucher type corresponding to the bill category information, and storing the corresponding relation between the bill category information and the voucher type into the template matching rule; and/or taking the subject type modified by the user as the subject type corresponding to the project title information, and storing the corresponding relation between the project title information and the subject type into the template matching rule.
In a second aspect of the present disclosure, a credential generation apparatus is provided. The device comprises: the acquisition module is used for acquiring bill information, wherein the bill information comprises bill category information, at least one group of project title information and project content information; the determining module is used for determining a target template matched with the bill information based on prestored voucher template information, and the voucher template information comprises a voucher type and a subject type; and the generating module is used for generating a target voucher according to the bill information and the target template.
Optionally, the obtaining module is configured to obtain a bill image and identify text information in the bill image; extracting bill category information and at least one group of project title information and project content information in the bill image from the text information based on a preset text extraction rule; and determining the bill category information and each group of the item title information and the item content information as the bill information.
Optionally, the determining module is configured to determine, based on a preset template matching rule, a credential type in the target template according to the ticket category information; determining the subject type in the target template according to the project title information based on the template matching rule; when the bill information contains two or more items of title information, the target template contains the same subject types as the items of title information in quantity.
Optionally, the generating module is configured to, for each set of the item title information and the item content information, fill the item content information into a table corresponding to the subject type determined by the item title information.
Optionally, the apparatus further includes a modification module, configured to obtain the target template modified by the user, and use the target template modified by the user as a new target template.
Optionally, the apparatus further includes a recording module, configured to take a credential type modified by a user as a credential type corresponding to the ticket category information, and store a correspondence between the ticket category information and the credential type in the template matching rule; and/or taking the subject type modified by the user as the subject type corresponding to the project title information, and storing the corresponding relation between the project title information and the subject type into the template matching rule.
In a third aspect of the disclosure, a computer-readable storage medium is provided, on which a computer program is stored, which program, when being executed by a processor, carries out the steps of the method of any one of the first aspect of the disclosure.
A fourth aspect of the present disclosure provides an electronic device, comprising: a memory having a computer program stored thereon; a processor for executing the computer program in the memory to implement the steps of the method of any one of the first aspect of the present disclosure.
Through the technical scheme, the target template matched with the bill information can be determined according to the bill information and the pre-stored certificate template information, and the certificate is generated based on the bill information and the target template, so that the manual participation amount in the process of converting the bill to the certificate is reduced, the certificate generation efficiency is improved, and the possibility of error occurrence caused by manual operation is reduced.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a flow chart illustrating a credential generation method in accordance with an exemplary disclosed embodiment.
FIG. 2 is a flow chart illustrating a credential generation method in accordance with an exemplary disclosed embodiment.
Fig. 3 is a block diagram illustrating a credential generation apparatus in accordance with an exemplary disclosed embodiment.
FIG. 4 is a block diagram illustrating an electronic device according to an exemplary disclosed embodiment.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
First, an implementation scenario of the present disclosure will be explained. The method of the present disclosure may be applied to a module for generating a ticket in a financial system, may be applied to a device or apparatus for generating a ticket alone, or may be installed in software or an application program as a computer program.
Preferably, the method can be applied to an Application foundation platform of an AOS (Application Operation System), the AOS platform has good encapsulation performance, and other software platforms can be connected.
FIG. 1 is a flow chart illustrating a credential generation method in accordance with an exemplary disclosed embodiment. As shown in fig. 1, the method comprises the steps of:
s11, acquiring the bill information, wherein the bill information comprises the bill category information and at least one group of item title information and item content information.
The bill information may be obtained through image recognition, or may be batched data directly imported by a user, and it is worth to be noted that the batched data may be content manually input by the user or content selected from other system modules, or may be a data collection of a large amount of bill information obtained through batched recognition of a large number of images.
The step of acquiring the bill information through image recognition comprises the following steps:
acquiring a bill image, and identifying character information in the bill image; extracting bill category information and at least one group of project title information and project content information in the bill image from the text information based on a preset text extraction rule; and determining the bill category information and each group of the item title information and the item content information as the bill information.
The preset text extraction rule may extract text according to a preset position, for example, text in the first line of the bill is used as bill category information, the rightmost digit in the bill is used as project content information, and the leftmost text in the bill is used as project title information.
The preset text extraction rule can also be to extract the text according to the keywords, for example, if the bill includes the text content of "purchase", the text content can be determined as the title information of the item. The keywords may be preset manually or determined through machine learning, which is not limited by the present disclosure.
The text extraction rule may also extract text in a position plus keyword manner, for example, if the bill includes "purchase" text content, the piece of content may be determined as item title information, and text content and digital content in a table or text area corresponding to the piece of content may be determined as item content information.
And S12, determining a target template matched with the bill information based on pre-stored voucher template information, wherein the voucher template information comprises a voucher type and a subject type.
The voucher type includes a collection voucher, a payment voucher, a transfer voucher and the like, and the subject type includes raw materials, short-term borrowing, tax payment and the like. Pre-stored credential template information may be filled into the credential form as a target template. For example, the target template may be a table pre-filled with the text "payment vouchers, raw materials".
Determining the voucher type in the target template according to the bill category information based on a preset template matching rule; determining the subject type in the target template according to the project title information based on the template matching rule; when the bill information contains two or more items of title information, the target template contains the same subject types as the items of title information in quantity.
It should be noted that the preset template matching rule may be matched according to a text semantic, for example, if the item title information is "received engineering material money", the item type corresponding to the bill category information may be obtained as "engineering material" according to the text semantic.
As a possible implementation, if there is a tax classification in the bill, the corresponding target template may also be determined directly according to the tax classification, for example, if the tax classification is manufacturing, the voucher template of the manufacturing class may be matched, and the type of subject corresponding to the text content may be matched from the subjects of the manufacturing.
As a possible implementation, if the text identifies that the ticket is an invoice for a product class, the voucher type and the subject type for the purchase class may be matched.
The template matching rule may be set manually, or may be a rule built in the template matching model by training the template matching model, which is not limited in this disclosure. The template matching rule can be modified according to actual use feedback, for example, if the template matching rule is set manually, the rule item can be modified directly, and if the template matching rule is built in the template matching model, the target template and the bill information modified by the user can be used as a training sample to train the template matching module again.
And S13, generating a target voucher according to the bill information and the target template.
And filling the item content information into a table corresponding to the subject type determined by the item title information for each group of the item title information and the item content information.
The project content information can be converted between characters and numbers, and then the processed project content information is filled into a corresponding table.
For example, if the title information of a project of a bill is "money received for engineering materials" and the content information of the project is "ten thousand miles for two, the target voucher to be finally generated may be" collection voucher "-subject: engineering materials money-amount (upper case): ten thousand-dollar amount (lower case): 120,000".
Through the technical scheme, the target template matched with the bill information can be determined according to the bill information and the pre-stored certificate template information, and the certificate is generated based on the bill information and the target template, so that the manual participation amount in the process of converting the bill to the certificate is reduced, the certificate generation efficiency is improved, and the possibility of error occurrence caused by manual operation is reduced.
FIG. 2 is a flow chart illustrating a credential generation method in accordance with an exemplary disclosed embodiment.
S21, acquiring the bill information, wherein the bill information comprises the bill category information and at least one group of item title information and item content information.
The bill information may be obtained through image recognition, or may be batched data directly imported by a user, and it is worth to be noted that the batched data may be content manually input by the user or content selected from other system modules, or may be a data collection of a large amount of bill information obtained through batched recognition of a large number of images.
The step of acquiring the bill information through image recognition comprises the following steps:
acquiring a bill image, and identifying character information in the bill image; extracting bill category information and at least one group of project title information and project content information in the bill image from the text information based on a preset text extraction rule; and determining the bill category information and each group of the item title information and the item content information as the bill information.
The preset text extraction rule may extract text according to a preset position, for example, text in the first line of the bill is used as bill category information, the rightmost digit in the bill is used as project content information, and the leftmost text in the bill is used as project title information.
The preset text extraction rule can also be to extract the text according to the keywords, for example, if the bill includes the text content of "purchase", the text content can be determined as the title information of the item. The keywords may be preset manually or determined through machine learning, which is not limited by the present disclosure.
The text extraction rule may also extract text in a position plus keyword manner, for example, if the bill includes "purchase" text content, the piece of content may be determined as item title information, and text content and digital content in a table or text area corresponding to the piece of content may be determined as item content information.
And S22, determining a target template matched with the bill information based on pre-stored voucher template information, wherein the voucher template information comprises a voucher type and a subject type.
The voucher type includes a collection voucher, a payment voucher, a transfer voucher and the like, and the subject type includes raw materials, short-term borrowing, tax payment and the like. Pre-stored credential template information may be filled into the credential form as a target template. For example, the target template may be a table pre-filled with the text "payment vouchers, raw materials".
Determining the voucher type in the target template according to the bill category information based on a preset template matching rule; determining the subject type in the target template according to the project title information based on the template matching rule; when the bill information contains two or more items of title information, the target template contains the same subject types as the items of title information in quantity.
It should be noted that the preset template matching rule may be matched according to a text semantic, for example, if the item title information is "received engineering material money", the item type corresponding to the bill category information may be obtained as "engineering material" according to the text semantic.
As a possible implementation, if there is a tax classification in the bill, the corresponding target template may also be determined directly according to the tax classification, for example, if the tax classification is manufacturing, the voucher template of the manufacturing class may be matched, and the type of subject corresponding to the text content may be matched from the subjects of the manufacturing.
As a possible implementation, if the text identifies that the ticket is an invoice for a product class, the voucher type and the subject type for the purchase class may be matched.
The template matching rule may be set manually, or may be a rule built in the template matching model by training the template matching model, which is not limited in this disclosure. The template matching rule can be modified according to actual use feedback, for example, if the template matching rule is set manually, the rule item can be modified directly, and if the template matching rule is built in the template matching model, the target template and the bill information modified by the user can be used as a training sample to train the template matching module again.
And S23, acquiring the target template modified by the user.
If the content of the target template is wrong, the user can modify the content in the target template.
For example, if the subject type matched with the project header information "hot galvanizing" is "building material", and the actual subject type should be "fire fighting material", the user can modify the target template to modify "building material" into "fire fighting material".
And S24, taking the target template modified by the user as a new target template.
In a possible implementation manner, the voucher type modified by the user can be used as the voucher type corresponding to the bill category information, and the corresponding relation between the bill category information and the voucher type is stored in the template matching rule; and/or taking the subject type modified by the user as the subject type corresponding to the project title information, and storing the corresponding relation between the project title information and the subject type into the template matching rule.
Therefore, when the same item title information appears next time, the correct target template can be accurately matched.
For example, if the subject type matched with the project header information "hot galvanizing" is "building material", and the actual subject type is "fire-fighting material", the user can modify the target template, modify "building material" into "fire-fighting material", and write the rule that the subject corresponding to "hot galvanizing" is "fire-fighting material" into the template matching rule. Therefore, when a bill with the project title information of hot galvanizing appears next time, the bill can be accurately matched with the bill under the department of fire-fighting materials.
And S25, generating a target voucher according to the bill information and the target template.
And filling the item content information into a table corresponding to the subject type determined by the item title information for each group of the item title information and the item content information.
The project content information can be converted between characters and numbers, and then the processed project content information is filled into a corresponding table.
For example, if the title information of a project of a bill is "money received for engineering materials" and the content information of the project is "ten thousand miles for two, the target voucher to be finally generated may be" collection voucher "-subject: engineering materials money-amount (upper case): ten thousand-dollar amount (lower case): 120,000".
Through the technical scheme, the target template matched with the bill information can be determined according to the bill information and the pre-stored certificate template information, the certificate is generated based on the bill information and the target template, the manual participation amount in the process of converting the bill to the certificate is reduced, the certificate generation efficiency is improved, the possibility of error occurrence caused by manual operation is reduced, in addition, the matching rule of the target template can be modified according to the use feedback, the accuracy of the target template is improved, and further the use experience of a user is improved.
Fig. 3 is a block diagram illustrating a credential generation apparatus according to an exemplary disclosed embodiment, the apparatus 300 comprising, as shown in fig. 3:
the acquiring module 310 is configured to acquire the ticket information, where the ticket information includes ticket category information, and at least one set of item title information and item content information.
The determining module 320 is configured to determine, based on pre-stored credential template information, a target template matched with the ticket information, where the credential template information includes a credential type and a subject type.
And the generating module 330 is configured to generate a target credential according to the ticket information and the target template.
Optionally, the obtaining module 310 is configured to obtain a ticket image, and identify text information in the ticket image; extracting bill category information and at least one group of project title information and project content information in the bill image from the text information based on a preset text extraction rule; and determining the bill category information and each group of the item title information and the item content information as the bill information.
Optionally, the determining module 320 is configured to determine, based on a preset template matching rule, a credential type in the target template according to the ticket category information; determining the subject type in the target template according to the project title information based on the template matching rule; when the bill information contains two or more items of title information, the target template contains the same subject types as the items of title information in quantity.
Optionally, the generating module 330 is configured to, for each set of the item title information and the item content information, fill the item content information into a table corresponding to the subject type determined by the item title information.
Optionally, the apparatus 300 further includes a modification module, configured to obtain the target template modified by the user, and use the target template modified by the user as a new target template.
Optionally, the apparatus 300 further includes a recording module, configured to use the credential type modified by the user as the credential type corresponding to the ticket category information, and store the correspondence between the ticket category information and the credential type in the template matching rule; and/or taking the subject type modified by the user as the subject type corresponding to the project title information, and storing the corresponding relation between the project title information and the subject type into the template matching rule.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Through the technical scheme, the target template matched with the bill information can be determined according to the bill information and the pre-stored certificate template information, the certificate is generated based on the bill information and the target template, the manual participation amount in the process of converting the bill to the certificate is reduced, the certificate generation efficiency is improved, the possibility of error occurrence caused by manual operation is reduced, in addition, the matching rule of the target template can be modified according to the use feedback, the accuracy of the target template is improved, and further the use experience of a user is improved.
Fig. 4 is a block diagram illustrating an electronic device 400 according to an example embodiment. For example, the electronic device 400 may be provided as a server. Referring to fig. 4, the electronic device 400 comprises a processor 422, which may be one or more in number, and a memory 432 for storing computer programs executable by the processor 422. The computer program stored in memory 432 may include one or more modules that each correspond to a set of instructions. Further, the processor 422 may be configured to execute the computer program to perform the credential generation method described above.
Additionally, electronic device 400 may also include a power component 426 and a communication component 450, the power component 426 may be configured to perform power management of the electronic device 400, and the communication component 450 may be configured to enable communication, e.g., wired or wireless communication, of the electronic device 400. The electronic device 400 may also include input/output (I/O) interfaces 458. The electronic device 400 may operate based on an operating system stored in the memory 432, such as Windows Server, Mac OSXTM, UnixTM, LinuxTM, and the like.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the credential generation method described above is also provided. For example, the computer readable storage medium may be the memory 432 described above that includes program instructions executable by the processor 422 of the electronic device 400 to perform the credential generation method described above.
In another exemplary embodiment, a computer program product is also provided, which comprises a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-mentioned credential generation method when executed by the programmable apparatus.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that, in the foregoing embodiments, various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various combinations that are possible in the present disclosure are not described again.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (10)
1. A method of credential generation, the method comprising:
acquiring bill information, wherein the bill information comprises bill category information, and at least one group of project title information and project content information;
determining a target template matched with the bill information based on pre-stored voucher template information, wherein the voucher template information comprises a voucher type and a subject type;
and generating a target voucher according to the bill information and the target template.
2. The method of claim 1, wherein the obtaining ticket information comprises:
acquiring a bill image, and identifying character information in the bill image;
extracting bill category information and at least one group of project title information and project content information in the bill image from the text information based on a preset text extraction rule;
and determining the bill category information and each group of the item title information and the item content information as the bill information.
3. The method of claim 1, wherein determining a target template matching the ticket information from pre-stored credential templates comprises:
determining the voucher type in the target template according to the bill category information based on a preset template matching rule;
determining the subject type in the target template according to the project title information based on the template matching rule;
when the bill information contains two or more items of title information, the target template contains the same subject types as the items of title information in quantity.
4. The method of claim 3, wherein generating the target credential based on the ticket information and the target template comprises:
and filling the item content information into a table corresponding to the subject type determined by the item title information for each group of the item title information and the item content information.
5. The method of claim 1, wherein after determining a target template matching the ticket information based on pre-stored credential template information, the method further comprises:
acquiring the target template modified by the user;
and taking the target template modified by the user as a new target template.
6. The method according to claims 3 and 5, characterized in that the method further comprises:
taking the voucher type modified by the user as the voucher type corresponding to the bill category information, and storing the corresponding relation between the bill category information and the voucher type into the template matching rule;
and/or taking the subject type modified by the user as the subject type corresponding to the project title information, and storing the corresponding relation between the project title information and the subject type into the template matching rule.
7. An apparatus for credential generation, the apparatus comprising:
the acquisition module is used for acquiring bill information, wherein the bill information comprises bill category information, at least one group of project title information and project content information;
the determining module is used for determining a target template matched with the bill information based on prestored voucher template information, and the voucher template information comprises a voucher type and a subject type;
and the generating module is used for generating a target voucher according to the bill information and the target template.
8. The apparatus according to claim 7, further comprising a modification module, configured to obtain the target template modified by the user, and use the target template modified by the user as a new target template.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
10. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to carry out the steps of the method of any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111767818A (en) * | 2020-06-23 | 2020-10-13 | 北京思特奇信息技术股份有限公司 | Method and device for intelligently accepting service |
| CN112215693A (en) * | 2020-10-13 | 2021-01-12 | 金蝶软件（中国）有限公司 | Voucher generation method and related device |
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| CN111767818A (en) * | 2020-06-23 | 2020-10-13 | 北京思特奇信息技术股份有限公司 | Method and device for intelligently accepting service |
| CN111767818B (en) * | 2020-06-23 | 2024-04-26 | 北京思特奇信息技术股份有限公司 | Method and device for intelligently accepting business |
| CN112215693A (en) * | 2020-10-13 | 2021-01-12 | 金蝶软件（中国）有限公司 | Voucher generation method and related device |
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