CN114330275A - Acceptance bill face analysis method and device - Google Patents
Acceptance bill face analysis method and device Download PDFInfo
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- CN114330275A CN114330275A CN202111680507.2A CN202111680507A CN114330275A CN 114330275 A CN114330275 A CN 114330275A CN 202111680507 A CN202111680507 A CN 202111680507A CN 114330275 A CN114330275 A CN 114330275A
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Abstract
The application discloses a bill surface analysis method and device for acceptance bills. The method comprises the following steps: acquiring an online banking log of an online banking page; identifying the online bank log to obtain bank information and user operation information; matching a bank template in a database according to the bank information and the user operation information, wherein the bank template is generated according to the layout and the label in the internet bank log and is stored in the database; and extracting keywords from the online bank logs according to the bank template, and loading the extracted keywords into the bank template to form a bill. The method and the device solve the problem that the bill surface analysis of the acceptance bill has lower accuracy due to larger difference of front and back page layout of each online bank bill.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a receipt face analysis method and device.
Background
Acceptance draft defect analysis requires the acquisition of draft data, the acceptance draft having a front and back side, which is typically presented in two pages in an online bank. When the bill of the exchange bill is needed to be analyzed, the bill of the front and back pages of the exchange bill is needed to be taken for analyzing. Because the front page and the back page of each online bank bill have large arrangement difference, even if the same online bank is used, different lists are different, and the requirement on the flexibility of page analysis is high.
In the process of implementing the embodiment of the present application, the inventor finds that the related art has at least the following problems:
in the related technology, the front and back page layout difference of each online bank bill is large, so that the bill surface analysis of the acceptance bill has low accuracy.
Disclosure of Invention
The application mainly aims to provide a method and a device for analyzing the bill surface of an acceptance bill, so as to solve the problem of lower accuracy in bill surface analysis of the acceptance bill caused by larger difference of front and back page layouts of various online bank bills in the related technology.
In order to achieve the above object, according to one aspect of the present application, there is provided a draft acceptance ticket parsing method, including:
acquiring an online banking log of an online banking page;
identifying the online bank log to obtain bank information and user operation information;
matching a bank template in a database according to the bank information and the user operation information, wherein the bank template is generated according to the layout and the label in the internet bank log and is stored in the database;
and extracting keywords from the online bank logs according to the bank template, and loading the extracted keywords into the bank template to generate a bill.
Optionally, the identifying the online banking log includes:
identifying a bank domain name in the online banking log;
and inquiring the bank information according to the bank domain name.
Optionally, the matching a bank template in a database according to the bank information and the user operation information includes:
matching all bank templates corresponding to the bank information;
and determining a bank template corresponding to the online banking log in all the bank templates based on the user operation information.
Optionally, the user operation information includes single operation information and batch operation information.
Optionally, when the user operation information is a single piece of operation information, the extracting keywords from the online banking log according to the bank template, and loading the extracted keywords into the bank template to generate a bill includes:
identifying the acquired online banking logs one by one;
when the front log information corresponding to the bill is identified, extracting keywords from the front log information according to the bank template, loading the extracted keywords into the bank template to generate the front information of the bill, and recording the front information in the log record;
when the back log information corresponding to the bill is identified, extracting keywords from the back log information according to the bank template, loading the extracted keywords into the bank template to generate the back information of the bill, and inquiring whether the front information exists in the log record;
when the front information is inquired in the log record, aggregating the front information and the back information of the bill to generate a bill;
and when the front information does not exist in the log record, sending an abnormal notification to the client.
Optionally, when the user operation information is a single piece of operation information, the method further includes:
judging the integrity of the bill to determine whether the bill lacks front and back information;
and when the bill has the lack of front and back information, sending an exception notice to the client.
Optionally, the method further comprises:
when the bill has no lack of front and back information, flaw judgment is carried out on the bill according to flaw rules to judge whether flaw information exists;
and outputting the flaw information when the flaw information exists in the bill.
In a second aspect, the present application further provides an acceptance bill face analysis device, which is characterized in that the device includes:
the acquisition module is used for acquiring the online banking logs of the online banking page;
the identification module is used for identifying the online bank log to obtain bank information and user operation information;
the matching module is used for matching a bank template in a database according to the bank information and the user operation information, wherein the bank template is generated according to the layout and the label in the online bank log and is stored in the database;
and the extraction generation module is used for extracting the keywords of the online bank logs according to the bank template and loading the extracted keywords into the bank template to generate a bill.
In a third aspect, the present application further provides a computer device, including: a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute a computer program stored in the memory;
the computer program is used for executing the acceptance draft ticket face analysis method.
In a fourth aspect, the present application also provides a computer readable storage medium having stored thereon computer code that, when executed, performs an acceptance draft ticket face resolution method as described above.
The acceptance bill ticket face analysis method provided by the embodiment of the application comprises the following steps: acquiring an online banking log of an online banking page; identifying the online bank log to obtain bank information and user operation information; matching a bank template in a database according to the bank information and the user operation information, wherein the bank template is generated according to the layout and the label in the internet bank log and is stored in the database; and extracting keywords from the online bank logs according to the bank template, and loading the extracted keywords into the bank template to generate a bill. Therefore, all bank templates corresponding to all banks are generated in advance according to the layout and the labels in the online banking logs corresponding to the online banking pages of all banks, so that when the online banking logs of the online banking pages of the user are obtained, the generated bank templates can be called according to the bank information and the user operation information in the online banking logs, and then the online banking logs are subjected to keyword extraction according to the bank templates, so that bills can be obtained. And the technical problem of lower accuracy in bill surface analysis of the acceptance bill caused by larger difference of front and back page layout of each online bank bill in the prior art is solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
FIG. 1 is a flow chart of a method for invoice face resolution of an acceptance draft according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a bill surface analyzing apparatus for an acceptance bill according to an embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
Furthermore, the terms "mounted", "disposed", "provided", "connected", "slidably connected", "fixed", should be understood in a broad sense. For example, "connected" may be a fixed connection, a detachable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
In addition, the term "plurality" shall mean two as well as more than two.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
An embodiment of the present application provides a method for analyzing a draft acceptance, and fig. 1 is a flowchart of the method for analyzing the draft acceptance, as shown in fig. 1, the method includes the following steps 100 to 400:
and 100, acquiring the online banking log of the online banking page.
The service end is in communication connection with a client of a user, the client can obtain the online banking log of an online banking page operated by the user and upload the online banking log to the service end, the service end can store the received online banking log in a database and then directly call the received online banking log, so that the step of obtaining the online banking log of the online banking page is completed, and the online banking log of the online banking page sent by the receiving client can be directly used as the step of obtaining the online banking log of the online banking page.
200, identifying the online bank log to obtain bank information and user operation information.
Specifically, the web log is identified, and bank signals can be identified according to the tags in the web log, where the bank signals may include names, preset numbers, english abbreviations, and the like of banks.
Optionally, the user operation information includes single operation information and batch operation information, and since the receipt operation is performed on the online banking page, there is a difference between the single operation and the batch operation, it can be directly identified in the online banking log whether the user operation is the single operation information or the batch operation information.
And 300, matching a bank template in a database according to the bank information and the user operation information, wherein the bank template is generated according to the layout and the label in the online bank log and is stored in the database.
Specifically, the bank template corresponds to the bill, and the bank template is a content area to be filled in, which corresponds to each data name and data name required by the bill. And each bank template is generated according to the layout and the label in the online bank log. In this embodiment, all the web page templates of the bank may be screened out according to the bank information, and then the corresponding bank template may be determined according to the difference between the single operation and the batch operation in the user operation information.
400, extracting the keywords of the online bank log according to the bank template, and loading the extracted keywords into the bank template to generate a bill.
Specifically, after the bank template is obtained, keyword extraction is performed on the internet bank log according to the data name in the bank template, that is, data corresponding to the data name is extracted, the extracted data is filled in a content area which corresponds to the data name and needs to be filled, and finally a bill is generated. Therefore, in this embodiment, all the bank templates corresponding to the banks are generated in advance according to the layout and the labels in the online banking logs corresponding to the online banking pages of the banks, when the online banking logs of the online banking pages of the user are obtained, the generated bank templates can be called according to the bank information and the user operation information in the online banking logs, and then the online banking logs are subjected to keyword extraction according to the bank templates, so that the bills can be obtained.
Optionally, the step 100 of identifying the online banking log includes the following steps:
identifying a bank domain name in the online banking log;
and inquiring the bank information according to the bank domain name.
Specifically, a bank domain name is identified in the online banking log, and then the bank information is queried according to the bank domain name.
Optionally, the step 300 of matching a bank template in a database according to the bank information and the user operation information includes:
matching all bank templates corresponding to the bank information;
and determining a bank template corresponding to the online banking log in all the bank templates based on the user operation information.
Specifically, all webpage templates of the bank are screened out according to bank information, and then the corresponding bank template is determined according to the difference between single operation and batch operation in user operation information.
Optionally, when the user operation information is a single piece of operation information, the step 400 of extracting the keyword from the online banking log according to the bank template and loading the extracted keyword into the bank template to generate a bill includes:
identifying the acquired online banking logs one by one;
when the front log information corresponding to the bill is identified, extracting keywords from the front log information according to the bank template, loading the extracted keywords into the bank template to generate the front information of the bill, and recording the front information in the log record;
when the back log information corresponding to the bill is identified, extracting keywords from the back log information according to the bank template, loading the extracted keywords into the bank template to generate the back information of the bill, and inquiring whether the front information exists in the log record;
when the front information is inquired in the log record, aggregating the front information and the back information of the bill to generate a bill;
and when the front information does not exist in the log record, sending an abnormal notification to the client.
Specifically, when the user operation information is single operation information, the back information of the bill can be related, and the bank webpage corresponding to the back information can have three conditions;
in the first case, the back information and the front information both exist in the same online banking page, so that the front information and the back information can be obtained in the online banking log corresponding to one online banking page;
in the second case, the back information and the front information exist in two online banking pages, so the online banking log corresponding to the front information is transmitted to the server before the online banking log corresponding to the back information, and therefore, the front information is recognized first, and then the front information is queried through log record after the back information is recognized.
In the third case, the content corresponding to the back information is folded in the page corresponding to the front information, and at this time, the client needs to send a notification to the user to remind the user to open the folded page, so as to obtain the back information.
Optionally, when the user operation information is a single piece of operation information, the method further includes the following steps:
judging the integrity of the bill to determine whether the bill lacks front and back information;
and when the bill has the lack of front and back information, sending an exception notice to the client.
Specifically, the integrity of the generated ticket is determined by detecting whether some keywords (data) exist in the front information and the back information, for example, whether the front information has a ticket number, a remitter, an expiration time, an amount of money, and the like, and the back information at least detects whether the ticket number exists.
It should be noted that, when the online banking page is updated, the position or the label corresponding to some data may be changed, which may result in that the accurate keyword may not be determined and extracted according to the bank template, and thus, there may be a problem when the integrity of the bill is judged, and thus, when an identification error occurs, the bill is incomplete, and an abnormal notification is sent, the online banking page of the bank may be re-identified in time, the online banking template may be regenerated according to the layout and the label in the online banking log, and the previous online banking template may be replaced with the online banking template.
Optionally, the method further comprises the steps of:
when the bill has no lack of front and back information, flaw judgment is carried out on the bill according to flaw rules to judge whether flaw information exists;
and outputting the flaw information when the flaw information exists in the bill.
Specifically, when the bill has no defect front and back information, the bill is subjected to flaw judgment according to a flaw rule to judge whether the flaw information exists; the method comprises the steps of obtaining flaw information of a bill, judging the flaw of the bill according to each flaw rule in the flaw rules, and outputting the flaw information and the flaw type when the flaw information exists in the bill so as to improve the current bill.
The acceptance bill ticket face analysis method provided by the embodiment of the application comprises the following steps: acquiring an online banking log of an online banking page; identifying the online bank log to obtain bank information and user operation information; matching a bank template in a database according to the bank information and the user operation information, wherein the bank template is generated according to the layout and the label in the internet bank log and is stored in the database; and extracting keywords from the online bank logs according to the bank template, and loading the extracted keywords into the bank template to generate a bill. Therefore, all bank templates corresponding to all banks are generated in advance according to the layout and the labels in the online banking logs corresponding to the online banking pages of all banks, when the online banking logs of the online banking pages of the user are obtained, the generated bank templates can be called according to the bank information and the user operation information in the online banking logs, and then the keywords of the online banking logs are extracted according to the bank templates, so that the bills can be obtained. And the technical problem of lower accuracy in bill surface analysis of the acceptance bill caused by larger difference of front and back page layout of each online bank bill in the prior art is solved.
Based on the same technical concept, the present application further provides an acceptance bill face analysis device, fig. 2 is a schematic structural diagram of the acceptance bill face analysis device provided in the embodiment of the present application, and as shown in fig. 2, the device includes:
the acquiring module 10 is used for acquiring an online banking log of an online banking page;
the identification module 20 is used for identifying the online bank log to obtain bank information and user operation information;
the matching module 30 is configured to match a bank template in a database according to the bank information and the user operation information, where the bank template is generated according to a layout and a tag in an online banking log and is stored in the database;
and the extraction generation module 40 is used for extracting the keywords of the online bank log according to the bank template and loading the extracted keywords into the bank template to generate a bill.
Optionally, the identification module 20 is configured to:
identifying a bank domain name in the online banking log;
and inquiring the bank information according to the bank domain name.
Optionally, a matching module 30, configured to:
matching all bank templates corresponding to the bank information;
and determining a bank template corresponding to the online banking log in all the bank templates based on the user operation information.
Optionally, the user operation information includes single operation information and batch operation information.
Optionally, when the user operation information is a single piece of operation information, the extraction and generation module 40 is configured to:
identifying the acquired online banking logs one by one;
when the front log information corresponding to the bill is identified, extracting keywords from the front log information according to the bank template, loading the extracted keywords into the bank template to generate the front information of the bill, and recording the front information in the log record;
when the back log information corresponding to the bill is identified, extracting keywords from the back log information according to the bank template, loading the extracted keywords into the bank template to generate the back information of the bill, and inquiring whether the front information exists in the log record;
when the front information is inquired in the log record, aggregating the front information and the back information of the bill to generate a bill;
and when the front information does not exist in the log record, sending an abnormal notification to the client.
Optionally, when the user operation information is a single piece of operation information, the apparatus further includes:
the judging module is used for judging the integrity of the bill so as to determine whether the bill lacks front and back information;
and the sending module is used for sending an abnormal notice to the client when the bill lacks front and back information.
Optionally, the apparatus further comprises:
the flaw judgment module is used for carrying out flaw judgment on the bill according to a flaw rule to judge whether flaw information exists or not when the bill does not have the lack of front and back information;
and the output module is used for outputting the flaw information when the flaw information exists in the bill.
The acceptance bill ticket face analysis device provided by the embodiment of the application comprises the following steps: the acquiring module 10 is used for acquiring an online banking log of an online banking page; the identification module 20 is used for identifying the online bank log to obtain bank information and user operation information; the matching module 30 is configured to match a bank template in a database according to the bank information and the user operation information, where the bank template is generated according to a layout and a tag in an online banking log and is stored in the database; and the extraction generation module 40 is used for extracting the keywords of the online bank log according to the bank template and loading the extracted keywords into the bank template to generate a bill. Therefore, all bank templates corresponding to all banks are generated in advance according to the layout and the labels in the online banking logs corresponding to the online banking pages of all banks, so that when the online banking logs of the online banking pages of the user are obtained, the generated bank templates can be called according to the bank information and the user operation information in the online banking logs, and then the online banking logs are subjected to keyword extraction according to the bank templates, so that bills can be obtained. And the technical problem of lower accuracy in bill surface analysis of the acceptance bill caused by larger difference of front and back page layout of each online bank bill in the prior art is solved.
Based on the same technical concept, the present application also provides a computer device, comprising: a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute a computer program stored in the memory;
the computer program is used for executing the processing method of the vehicle networking accident event.
Based on the same technical concept, the present application also provides a computer-readable storage medium storing computer code, which when executed, performs the processing method of the internet of vehicles accident event as described above.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the computer-readable storage medium described above may refer to the corresponding process in the foregoing method embodiments, and is not described herein again.
The computer program referred to in the present application may be stored in a computer-readable storage medium, which may include: any physical device capable of carrying computer program code, virtual device, flash disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only computer Memory (ROM), Random Access computer Memory (RAM), electrical carrier wave signal, telecommunications signal, and other software distribution media, and the like.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A bill surface analysis method for acceptance bills is characterized by comprising the following steps:
acquiring an online banking log of an online banking page;
identifying the online bank log to obtain bank information and user operation information;
matching a bank template in a database according to the bank information and the user operation information, wherein the bank template is generated according to the layout and the label in the internet bank log and is stored in the database;
and extracting keywords from the online bank logs according to the bank template, and loading the extracted keywords into the bank template to generate a bill.
2. The acceptance draft ticket fare resolution method of claim 1, wherein said identifying said online banking log comprises:
identifying a bank domain name in the online banking log;
and inquiring the bank information according to the bank domain name.
3. The acceptance draft ticket face resolution method of claim 1, wherein said matching a bank template in a database based on said bank information and user operation information comprises:
matching all bank templates corresponding to the bank information;
and determining a bank template corresponding to the online banking log in all the bank templates based on the user operation information.
4. The acceptance draft ticket face resolution method of claim 3, wherein the user operation information includes single operation information and batch operation information.
5. The acceptance bill face parsing method as claimed in claim 4, wherein when the user operation information is a single piece of operation information, the performing keyword extraction on the online banking log according to the banking template and loading the extracted keyword into the banking template to generate a bill comprises:
identifying the acquired online banking logs one by one;
when the front log information corresponding to the bill is identified, extracting keywords from the front log information according to the bank template, loading the extracted keywords into the bank template to generate the front information of the bill, and recording the front information in the log record;
when the back log information corresponding to the bill is identified, extracting keywords from the back log information according to the bank template, loading the extracted keywords into the bank template to generate the back information of the bill, and inquiring whether the front information exists in the log record;
when the front information is inquired in the log record, aggregating the front information and the back information of the bill to generate a bill;
and when the front information does not exist in the log record, sending an abnormal notification to the client.
6. The acceptance draft ticket face resolution method of claim 4, wherein when the user operation information is a single operation information, the method further comprises:
judging the integrity of the bill to determine whether the bill lacks front and back information;
and when the bill has the lack of front and back information, sending an exception notice to the client.
7. The acceptance draft ticket parsing method of claim 6, further comprising:
when the bill has no lack of front and back information, flaw judgment is carried out on the bill according to flaw rules to judge whether flaw information exists;
and outputting the flaw information when the flaw information exists in the bill.
8. An acceptance bill face analysis device, comprising:
the acquisition module is used for acquiring the online banking logs of the online banking page;
the identification module is used for identifying the online bank log to obtain bank information and user operation information;
the matching module is used for matching a bank template in a database according to the bank information and the user operation information, wherein the bank template is generated according to the layout and the label in the online bank log and is stored in the database;
and the extraction generation module is used for extracting the keywords of the online bank logs according to the bank template and loading the extracted keywords into the bank template to generate a bill.
9. A computer device, comprising: a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute a computer program stored in the memory;
the computer program for performing the acceptance draft ticket parsing method of any one of claims 1-7.
10. A computer readable storage medium storing computer code that, when executed, performs an acceptance bill ticket parsing method as recited in any one of claims 1-7.
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| CN202111680507.2A CN114330275A (en) | 2021-12-30 | 2021-12-30 | Acceptance bill face analysis method and device |
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| CN202111680507.2A CN114330275A (en) | 2021-12-30 | 2021-12-30 | Acceptance bill face analysis method and device |
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