CN110473079B - Image recognition-based reimbursement list generation method and device and electronic equipment - Google Patents
Image recognition-based reimbursement list generation method and device and electronic equipment Download PDFInfo
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Abstract
The embodiment of the application provides a reimbursement list generation method and device based on image recognition and electronic equipment. The method comprises the following steps: acquiring at least one image to be processed aiming at reimbursement bills, and determining at least one reimbursement message corresponding to each image to be processed; determining a corresponding pre-editing reimbursement list according to at least one reimbursement message corresponding to each image to be processed; if the pre-editing reimbursement list comprises travel places, judging whether each travel place in the pre-editing reimbursement list is correct; and processing the pre-edited reimbursement bill according to the judging result. The embodiment of the application solves the problems of low reimbursement bill generation efficiency and long consumption time caused by manually filling in reimbursement bill in the prior art through an image recognition technology.
Description
Technical Field
The application relates to the technical field of memory management, in particular to a reimbursement list generation method and device based on image recognition and electronic equipment.
Background
The existing travel expense is generally manually filled by staff, and because the contents required to be filled for the travel expense are complex and the data size is large, the mode is required to consume a great deal of time of the staff, and the manual information input is easy to be wrong, so that inconvenience is caused to financial auditors.
Disclosure of Invention
The application aims to provide a reimbursement list generation method and device based on image recognition, electronic equipment and a computer readable storage medium, so as to solve the problems.
In a first aspect, a method for generating a reimbursement list based on image recognition is provided, the method comprising:
acquiring at least one image to be processed aiming at reimbursement bills, and determining at least one reimbursement message corresponding to each image to be processed;
determining a corresponding pre-editing reimbursement list according to at least one reimbursement message corresponding to each image to be processed;
if the pre-editing reimbursement list comprises travel places, judging whether each travel place in the pre-editing reimbursement list is correct;
and processing the pre-edited reimbursement bill according to the judging result.
In a second aspect, there is provided an image recognition-based reimbursement manifest generation apparatus, the apparatus comprising:
the data acquisition module is used for acquiring at least one image to be processed aiming at the reimbursement bill and determining at least one reimbursement message corresponding to each image to be processed;
the reimbursement sheet generation module is used for determining a corresponding pre-edited reimbursement sheet according to at least one reimbursement message corresponding to each image to be processed;
the travel route judging module is used for judging whether each travel place in the pre-editing reimbursement list is correct if the pre-editing reimbursement list comprises the travel place;
and the reimbursement bill reprocessing module is used for processing the pre-edited reimbursement bill according to the judging result.
In a third aspect, an electronic device is provided, the electronic device comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications configured to: the image recognition-based reimbursement manifest generation method according to the first aspect is performed.
In a fourth aspect, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the image recognition-based reimbursement manifest generation method of the first aspect.
The embodiment of the application provides a reimbursement list generation method, a reimbursement list generation device, electronic equipment and a computer readable storage medium based on image identification, which are used for acquiring at least one image to be processed aiming at reimbursement notes and determining at least one reimbursement information corresponding to each image to be processed; determining a corresponding pre-editing reimbursement list according to at least one reimbursement message corresponding to each image to be processed; if the pre-editing reimbursement list comprises the travel places, judging whether each travel place in the pre-editing reimbursement list is correct; the pre-editing reimbursement bill is processed according to the judging result, and the problems of low reimbursement bill generation efficiency and long time consumption caused by manually filling in the reimbursement bill in the prior art are solved through an image recognition technology.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings that are required to be used in the description of the embodiments of the present application will be briefly described below.
FIG. 1 is a schematic flow chart of a method for generating a reimbursement list based on image recognition according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of an embodiment of acquiring an image to be processed in an image recognition-based reimbursement list generation method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a reimbursement list generating device based on image recognition according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device for memory management according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein includes all or any element and all combination of one or more of the associated listed items.
The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
The following embodiments provide a reimbursement list generation method based on image recognition, which is applied to a multi-system electronic device, wherein the multi-system electronic device comprises at least two operating systems. The operating system may be a container operating system, which is system isolated by container technology.
Example 1
The embodiment of the application provides a reimbursement list generation method based on image recognition, which comprises the following steps of: step S101, step S102, and step S103.
Step S101, at least one image to be processed aiming at the reimbursement bill is obtained, and at least one reimbursement message corresponding to each image to be processed is determined.
In the embodiment of the application, the reimbursement bill refers to a bill of the type such as a train bill, an automobile bill, an airplane bill, a food and beverage bill, an accommodation bill and the like. In a specific application, the image to be processed may include one bill, or may include multiple bills at the same time.
In a specific application, an image to be processed is generally obtained by shooting by an electronic device (such as a mobile phone).
In the embodiment of the application, the reimbursement information is used for representing detailed information of reimbursement notes, generally comprises information such as price, date, departure place, arrival place and the like of the reimbursement notes, and is determined specifically according to the reimbursement notes. For example, when the reimbursement ticket is a train ticket, reimbursement information includes a start station, a destination station, a date of use, a fare, and the like.
When the method is specifically applied, the image recognition technology (OCR technology) is utilized to recognize each image to be processed, and at least one piece of reimbursement information corresponding to each image to be processed is determined.
Step S102, corresponding pre-editing reimbursement sheets are determined according to at least one reimbursement message corresponding to each image to be processed.
In specific application, the corresponding pre-editing reimbursement list is generally determined by mapping at least one reimbursement information corresponding to each image to be processed into a corresponding preset reimbursement information item.
And step 103, if the pre-editing reimbursement list comprises travel places, judging whether each travel place in the pre-editing reimbursement list is correct.
In the embodiment of the application, the preset number is generally set to be 1, that is, when the user's business trip places exceed two places, whether the travel route of the user is correct needs to be judged.
For example, the actual travel route of the user is: and 4 months 1 day from Beijing to Xiyan and 4 months 5 days from Xiyan to Shenzhen, identification is needed according to each image to be processed, so that whether the travel route of the user is consistent with the actual travel route is determined.
When the method is specifically applied, the actual travel route of the user can be stored in advance, and after the reimbursement information of each image to be processed is identified, the reimbursement information is compared with the actual travel route; or outputting and displaying the identified travel route so as to be convenient for a user to confirm, and particularly, the user can conveniently confirm through a preset control, and if the user selects the control for confirming the travel route to be correct, the travel route is confirmed to be correct on the premise that two controls are preset, such as the control for confirming the travel route to be correct and the control for adjusting the travel route; if the user selects the control for adjusting the travel route, the travel route can be adjusted through a corresponding interactive interface, a floating window and the like.
And step S104, processing the pre-edited reimbursement list according to the judging result.
According to the embodiment of the application, at least one image to be processed aiming at the reimbursement bill is obtained, and at least one reimbursement message corresponding to each image to be processed is determined; determining a corresponding pre-editing reimbursement list according to at least one reimbursement message corresponding to each image to be processed; if the pre-editing reimbursement list comprises the travel places, judging whether each travel place in the pre-editing reimbursement list is correct; the pre-editing reimbursement bill is processed according to the judging result, and the problems of low reimbursement bill generation efficiency and long time consumption caused by manually filling in the reimbursement bill in the prior art are solved through an image recognition technology.
In one implementation, as shown in fig. 2, acquiring the image to be processed for at least one reimbursement ticket in step S101 includes:
step S1011, determining the reimbursement type selected by the user based on a preconfigured reimbursement inventory template;
step S1012, at least one image to be processed aiming at the reimbursement bill corresponding to the reimbursement type is acquired.
In the embodiment of the application, the generation efficiency of the reimbursement bill is improved through the preconfigured reimbursement list template, and the user can conveniently and quickly select reimbursement types, and particularly, the reimbursement types generally comprise a plurality of types, such as domestic travel fees, international travel fees and the like.
Further, before the step S101 of acquiring at least one image to be processed for the reimbursement ticket, the method further includes:
based on a preconfigured reimbursement list template, acquiring related information of a user needing reimbursement processing, wherein the related information at least comprises company names, user identification information and affiliated departments.
When the method is specifically applied, the reimbursement and reimbursement limits of users in different levels in different departments are different, and the embodiment of the application provides a data basis for generating reimbursement sheets by determining the related information of the users.
In specific application, patches corresponding to staff members in different positions of different departments can be predetermined, so that a pre-editing reimbursement list is generated after at least one reimbursement message corresponding to each image to be processed is determined.
In another implementation, as shown in fig. 1, step S103 includes determining whether each travel location in the pre-edited reimbursement sheet is correct, including;
step S1031 (not shown in the figure), determining travel dates corresponding to the travel places in the pre-edited reimbursement sheets;
step S1032 (not shown in the figure) judges whether each travel place in the pre-edited reimbursement sheet is continuous or not according to the travel date corresponding to each travel place in the pre-edited reimbursement sheet.
For example, the reimbursement ticket is a train ticket from Beijing to Xiyan on 4 months 1 day and a train ticket from Xiyan to Shenzhen on 4 months 5 days, the travel place of the user can be determined to be continuous, and the reimbursement ticket is from Beijing-Xiyan-Shenzhen.
When the method is applied specifically, the travel dates corresponding to the travel places can be marked on the calendar, so that the readability of the travel route of the user is improved.
In yet another implementation, as shown in fig. 1, the method further includes:
step S105 (not shown in the figure), if the travel location is not included in the pre-edited reimbursement sheet, the pre-edited reimbursement sheet is submitted as the reimbursement sheet.
Specifically, the reimbursement sheets can be submitted to financial staff through the server, so that the financial staff can remotely examine and approve the reimbursement sheets; or the user needing reimbursement can directly send the reimbursement bill to corresponding financial staff after generating the reimbursement bill.
In yet another implementation, as shown in fig. 1, step S104 processes the pre-edited reimbursement sheet according to the determination result, including: step S1041 or step S1042 and step S1043.
Step S1041 (not shown in the figure), if each travel location in the pre-edited reimbursement sheet is correct, acquiring confirmation information of the user on the pre-edited reimbursement sheet, and submitting the pre-edited reimbursement sheet as the reimbursement sheet.
Step S1042 (not shown), if any travel location in the pre-edited reimbursement sheet is wrong, acquiring adjustment information of the user on the pre-edited reimbursement sheet;
step S1043 (not shown in the figure) of adjusting the pre-edited reimbursement ticket according to the adjustment information, and submitting the adjusted pre-edited reimbursement ticket as the reimbursement ticket.
The embodiment of the application carries out different types of pre-editing reimbursement sheets according to different judging results, thereby achieving the purpose of adjusting the pre-editing reimbursement sheets.
Example two
The embodiment of the application provides a reimbursement list generating device based on image recognition, as shown in fig. 3, the reimbursement list generating device 30 based on image recognition may include: a data acquisition module 301, a reimbursement sheet generation module 302, a travel route judgment module 303, and a reimbursement sheet reprocessing module 304, wherein,
the data acquisition module 301 is configured to acquire at least one to-be-processed image for the reimbursement ticket, and determine at least one reimbursement information corresponding to each to-be-processed image;
the reimbursement sheet generation module 302 is configured to determine a corresponding pre-edited reimbursement sheet according to at least one reimbursement information corresponding to each image to be processed;
a travel route determining module 303, configured to determine whether each travel location in the pre-editing reimbursement list is correct if the pre-editing reimbursement list includes a travel location;
and the reimbursement sheet reprocessing module 304 is used for processing the pre-edited reimbursement sheet according to the judging result.
According to the embodiment of the application, at least one image to be processed aiming at the reimbursement bill is obtained, and at least one reimbursement message corresponding to each image to be processed is determined; determining a corresponding pre-editing reimbursement list according to at least one reimbursement message corresponding to each image to be processed; if the pre-editing reimbursement list comprises the travel places, judging whether each travel place in the pre-editing reimbursement list is correct; the pre-editing reimbursement bill is processed according to the judging result, and the problems of low reimbursement bill generation efficiency and long time consumption caused by manually filling in the reimbursement bill in the prior art are solved through an image recognition technology.
Further, the data acquisition module is used for:
determining a user-selected reimbursement type based on a preconfigured reimbursement inventory template;
and acquiring at least one image to be processed aiming at the reimbursement bill corresponding to the reimbursement type.
Further, before acquiring at least one image to be processed for the reimbursement ticket, the data acquisition module is configured to:
based on a preconfigured reimbursement list template, acquiring related information of a user needing reimbursement processing, wherein the related information at least comprises company names, user identification information and affiliated departments.
Further, the travel route determining module 303 is configured to:
determining travel dates corresponding to the travel places in the pre-editing reimbursement list respectively;
and judging whether each travel place in the pre-editing reimbursement list is continuous or not according to the travel date corresponding to each travel place in the pre-editing reimbursement list.
Further, the reimbursement sheet reprocessing module 304 is configured to:
and if the pre-editing reimbursement list does not comprise a travel place, submitting the pre-editing reimbursement list as the reimbursement list.
Further, the reimbursement sheet reprocessing module 304 is configured to:
and if each travel place in the pre-editing reimbursement list is correct, acquiring the confirmation information of the user on the pre-editing reimbursement list, and submitting the pre-editing reimbursement list as the reimbursement list.
Further, the reimbursement sheet reprocessing module 304 is configured to:
if any travel place in the pre-editing reimbursement list is wrong, acquiring adjustment information of a user on the pre-editing reimbursement list;
and adjusting the pre-editing reimbursement list according to the adjustment information, and submitting the adjusted pre-editing reimbursement list as the reimbursement list.
The embodiment of the application provides a reimbursement list generating device based on image recognition, which is applicable to the methods shown in any one of the first to sixth embodiments, and is not described herein.
Example III
An embodiment of the present application provides an electronic device, as shown in fig. 4, an electronic device 4000 shown in fig. 4 includes: a processor 4001 and a memory 4003. Wherein the processor 4001 is coupled to the memory 4003, such as via a bus 4002. Optionally, the electronic device 4000 may also include a transceiver 4004. It should be noted that, in practical applications, the transceiver 4004 is not limited to one, and the structure of the electronic device 4000 is not limited to the embodiment of the present application.
The processor 4001 is applied to the embodiment of the present application, and is configured to implement the functions of the determining module, the allocating module, the emptying module, the releasing module, and the marking module shown in fig. 2 or fig. 3. The transceiver 4004 includes a receiver and a transmitter.
The processor 4001 may be a CPU, general purpose processor, DSP, ASIC, FPGA or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. The processor 4001 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 4002 may include a path to transfer information between the aforementioned components. Bus 4002 may be a PCI bus or an EISA bus, or the like. The bus 4002 can be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 4, but not only one bus or one type of bus.
The memory 4003 may be, but is not limited to, ROM or other type of static storage device that can store static information and instructions, RAM or other type of dynamic storage device that can store information and instructions, EEPROM, CD-ROM or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Optionally, the memory 4003 is used for storing application program code for executing the inventive arrangements, and the execution is controlled by the processor 4001. The processor 4001 is configured to execute application program codes stored in the memory 4003 to implement the actions of the image recognition-based reimbursement manifest generating device provided in the embodiment shown in fig. 3.
According to the embodiment of the application, at least one image to be processed aiming at the reimbursement bill is obtained, and at least one reimbursement message corresponding to each image to be processed is determined; determining a corresponding pre-editing reimbursement list according to at least one reimbursement message corresponding to each image to be processed; if the pre-editing reimbursement list comprises the travel places, judging whether each travel place in the pre-editing reimbursement list is correct; the pre-editing reimbursement bill is processed according to the judging result, and the problems of low reimbursement bill generation efficiency and long time consumption caused by manually filling in the reimbursement bill in the prior art are solved through an image recognition technology.
The embodiment of the present application provides an electronic device, which is suitable for the method shown in any one of the first to sixth embodiments, and is not described herein.
Example IV
The embodiment of the application provides a computer readable storage medium, and a computer program is stored on the computer readable storage medium, and when the program is executed by a processor, the method in the embodiment is implemented.
The embodiment of the application provides a computer readable storage medium, which is used for acquiring at least one image to be processed aiming at reimbursement notes and determining at least one reimbursement information corresponding to each image to be processed; determining a corresponding pre-editing reimbursement list according to at least one reimbursement message corresponding to each image to be processed; if the pre-editing reimbursement list comprises the travel places, judging whether each travel place in the pre-editing reimbursement list is correct; the pre-editing reimbursement bill is processed according to the judging result, and the problems of low reimbursement bill generation efficiency and long time consumption caused by manually filling in the reimbursement bill in the prior art are solved through an image recognition technology.
The embodiment of the application provides a computer readable storage medium suitable for the method shown in the embodiment. And will not be described in detail herein.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations are intended to be comprehended within the scope of the present application.
Claims (9)
1. The reimbursement list generation method based on image recognition is characterized by comprising the following steps of:
acquiring at least one image to be processed aiming at reimbursement bills, and determining at least one reimbursement message corresponding to each image to be processed;
determining a corresponding pre-editing reimbursement list according to at least one reimbursement message corresponding to each image to be processed;
if the pre-editing reimbursement list comprises travel places, judging whether each travel place in the pre-editing reimbursement list is correct;
processing the pre-edited reimbursement bill according to the judging result;
the judging whether each travel place in the pre-editing reimbursement list is correct comprises the following steps: determining travel dates corresponding to the travel places in the pre-editing reimbursement list respectively; and judging whether each travel place in the pre-editing reimbursement list is continuous or not according to the travel date corresponding to each travel place in the pre-editing reimbursement list.
2. The method of claim 1, wherein the acquiring the image to be processed for the at least one reimbursement ticket comprises:
determining a user-selected reimbursement type based on a preconfigured reimbursement inventory template;
and acquiring at least one image to be processed aiming at the reimbursement bill corresponding to the reimbursement type.
3. The method of claim 2, wherein prior to the acquiring the at least one image to be processed for the reimbursement instrument, the method comprises:
based on a preconfigured reimbursement list template, acquiring related information of a user needing reimbursement processing, wherein the related information at least comprises company names, user identification information and affiliated departments.
4. The method according to claim 1, wherein the method further comprises:
and if the pre-editing reimbursement list does not comprise a travel place, submitting the pre-editing reimbursement list as the reimbursement list.
5. A method as claimed in claim 1, wherein said processing the pre-edited reimbursement ticket in dependence upon the determination comprises:
and if each travel place in the pre-editing reimbursement list is correct, acquiring the confirmation information of the user on the pre-editing reimbursement list, and submitting the pre-editing reimbursement list as the reimbursement list.
6. A method as claimed in claim 5, wherein said processing the pre-edited reimbursement ticket in dependence upon the determination comprises:
if any travel place in the pre-editing reimbursement list is wrong, acquiring adjustment information of a user on the pre-editing reimbursement list;
and adjusting the pre-editing reimbursement list according to the adjustment information, and submitting the adjusted pre-editing reimbursement list as the reimbursement list.
7. An image recognition-based reimbursement manifest generation device, comprising:
the data acquisition module is used for acquiring at least one image to be processed aiming at the reimbursement bill and determining at least one reimbursement message corresponding to each image to be processed;
the reimbursement sheet generation module is used for determining a corresponding pre-edited reimbursement sheet according to at least one reimbursement message corresponding to each image to be processed;
the travel route judging module is used for judging whether each travel place in the pre-editing reimbursement list is correct if the pre-editing reimbursement list comprises the travel place;
the reimbursement bill reprocessing module is used for processing the pre-edited reimbursement bill according to the judging result;
the judging whether each travel place in the pre-editing reimbursement list is correct comprises the following steps: determining travel dates corresponding to the travel places in the pre-editing reimbursement list respectively; and judging whether each travel place in the pre-editing reimbursement list is continuous or not according to the travel date corresponding to each travel place in the pre-editing reimbursement list.
8. An electronic device, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications configured to: performing the image recognition-based reimbursement manifest generation method according to any one of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when executed by a processor, implements the image recognition-based reimbursement manifest generation method as claimed in any one of claims 1 to 6.
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