CN115063114A - Contract additional recording automation method, electronic equipment and storage medium - Google Patents
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Abstract
The application discloses an automatic contract additional entry method, electronic equipment and a storage medium, which comprise the following steps: acquiring a contract image; processing and identifying the contract image by using an optical identification technology to obtain structured text data of the processed contract image; inputting the structured text data in the contract image into a server by utilizing a robot process automation technology; and processing the structured text data of the input server to generate additional contract information, and initiating a contract signing approval confirmation process according to the additional contract information. By the scheme, the key information in the contract image can be extracted, the contract is subjected to automatic batch processing, repeated labor is reduced, the working efficiency of business personnel is improved, and the labor cost is reduced.
Description
Technical Field
The application relates to the field of banks, in particular to a contract additional entry automation method, electronic equipment and a storage medium.
Background
With the continuous development of bank retail business and the continuous increase of retail customer channels, the management work of a large number of bank purchasing businesses, particularly the management aspect of contract supplementary recording business, is increased. At present, the following problems exist in the management of contract supplementary recording service:
1. there are a lot of offline manual operations, which is inefficient. At present, the management of the contract additional recording service is based on manual operation, and the manual operation efficiency is low in the face of a large amount of repeated labor in the contract additional recording service, so that the time of an additional recording process is increased.
2. The accuracy and the compliance are difficult to guarantee. The contract additional entry service requires a service person to read and input a large amount of contract texts in a short time, so that the accuracy and the compliance of the contract additional entry are difficult to ensure, and meanwhile, the time for an approval person to carry out an approval process is increased.
Disclosure of Invention
In order to solve the above problems, the present application provides at least a contract entry-supplementing automation method, an electronic device, and a storage medium, which can extract key information in a contract image through a robot process automation technology and an optical recognition technology, perform automatic approval on the contract, generate contract entry-supplementing information, and initiate a contract signing approval confirmation process. The repeated labor is reduced, the working efficiency of business personnel is improved, and the labor cost is reduced.
The first aspect of the present application provides an automatic method for contract entry, which includes: acquiring a contract image; processing and identifying the contract image by using an optical identification technology to obtain structured text data of the processed contract image; inputting the structured text data in the contract image into a server by utilizing a robot process automation technology; and processing the structured text data of the input server to generate additional contract information, and initiating a contract signing approval confirmation process according to the additional contract information.
According to the scheme, the key information in the contract image can be extracted through a robot process automation technology and an optical recognition technology, the contract is automatically approved, the supplementary contract information is generated, and a contract signing approval confirmation process is started. The repeated labor is reduced, the working efficiency of business personnel is improved, and the labor cost is reduced.
In some embodiments, the processing the contract image using optical recognition techniques includes: and preprocessing the contract image by utilizing an optical recognition technology to obtain a preprocessed contract image, and performing image segmentation processing on the preprocessed image according to a preset rule by utilizing the optical recognition technology to obtain a segmented contract image.
The accuracy of contract image segmentation processing can be improved by preprocessing the contract image, the preprocessed image is subjected to image segmentation processing by using an optical recognition technology, and the contract image can be divided into different areas so as to be processed respectively.
In some embodiments, the preprocessing the contract image comprises: the method comprises the following steps of carrying out binarization, image noise reduction, inclination angle detection, correction and other processing on a contract image to obtain a preprocessed contract image, and carrying out image segmentation processing on the preprocessed image according to a preset rule, wherein the image segmentation processing comprises the following steps: and respectively carrying out image segmentation on the contract head part, the contract general part, the contract content part and the contract signing part in the contract image to obtain a segmented contract image.
The method has the advantages that the processes such as binarization, image noise reduction, inclination angle detection and correction are carried out on the contract image, the later-stage process can be simplified, the processing speed is increased, the accuracy of the contract image segmentation process is improved, the contract head part, the contract general part, the contract content part and the contract signing part in the contract image are respectively subjected to image segmentation, the contract image is divided into different areas, and the accuracy of the subsequent process is improved.
In some embodiments, the obtaining the processed structured text data of the contract image includes: and carrying out character detection, character recognition and Chinese conversion processing on the processed contract image by utilizing the optical recognition technology to obtain the structured text data of the contract image.
By performing Chinese conversion processing, character detection and character recognition on the processed contract image, key character information in the contract image can be extracted, and the structured text data of the contract image can be obtained.
In some embodiments, the obtaining the contract image comprises: and automatically acquiring a contract image in a preset time period according to a preset frequency by utilizing a robot process automation technology, wherein the contract image can be obtained by scanning a contract file and/or directly uploading the contract image.
By utilizing a robot process automation technology, contract images in a preset time period are automatically acquired according to a preset frequency, the labor of business personnel is reduced, and the efficiency of contract additional recording is improved.
In some embodiments, the entering structured text data in the contract image into a server using robotic process automation techniques includes: and calling an interface of the server by utilizing the robot process automation technology, and inputting the structured text data in the contract image into a contract template with a standard format to obtain standardized contract structured text data.
And inputting the contract structured text data into a contract template with a standard format to obtain standardized contract structured text data, and improving the efficiency of contract additional entry without inputting the text data into the template by service personnel.
In some embodiments, processing the structured text data of the entry server includes: and detecting the structured text data in a preset time period by a timed task scheduling technology, carrying out batch processing on the detected structured text data, storing the processed structured text data as the supplementary entry information of the contract, and initiating a contract signing approval confirmation process.
By the timing task scheduling technology, the contract information data is batched regularly and stored as the contract additional information, so that a large amount of repeated work in the contract additional record is reduced, and the efficiency of the contract additional record is improved.
In some embodiments, the initiating a contract signing approval validation process according to the contract supplementary information includes: and labeling the contract additional recording information, and sending the contract additional recording information to business personnel, wherein different labels are used for representing different contract types.
Different contract types are represented by labeling the contract additional entry information, so that the labor of business personnel is reduced, and the auditing efficiency of the business personnel is improved.
A second aspect of the present application provides an electronic device, which includes a memory and a processor coupled to each other, wherein the processor is configured to execute program instructions stored in the memory to implement the automatic contract entry method in the first aspect.
A third aspect of the present application provides a non-transitory computer-readable storage medium having stored thereon program instructions that, when executed by a processor, implement the contract-reimbursement automation method of the first aspect described above.
According to the scheme, the key information in the contract image can be extracted through a robot process automation technology and an optical recognition technology, the contract is automatically approved, the supplementary contract information is generated, and a contract signing approval confirmation process is started. The repeated labor is reduced, the working efficiency of business personnel is improved, and the labor cost is reduced.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application.
FIG. 1 is a schematic flow chart illustrating an embodiment of an automated method for contract entry.
FIG. 2 is a block diagram of an embodiment of a contract entry automation method of the present application.
Fig. 3 is a schematic block diagram of an embodiment of an electronic device according to the present application.
FIG. 4 is a block diagram of one embodiment of a non-volatile computer-readable storage medium of the present application.
Detailed Description
The following describes in detail the embodiments of the present application with reference to the drawings attached hereto.
In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular system structures, interfaces, techniques, etc. in order to provide a thorough understanding of the present application.
The term "and/or" herein is merely an association relationship describing an associated object, and means that there may be three relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship. Further, the term "plurality" herein means two or more than two. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, C, and may mean including any one or more elements selected from the group consisting of A, B and C.
If the technical scheme of the present application relates to personal information, a product applying the technical scheme of the present application clearly informs personal information processing rules and obtains personal self-approval before processing the personal information. If the technical scheme of the application relates to sensitive personal information, a product applying the technical scheme of the application obtains individual consent before processing the personal information, and simultaneously meets the requirement of 'express consent'. For example, at a personal information collection device such as a camera, a clear and significant flag is set to inform that the personal information collection range is entered, the personal information is collected, and if the person voluntarily enters the collection range, the person is considered as agreeing to collect the personal information; or on the device for processing the personal information, under the condition of informing the personal information processing rule by using obvious identification/information, obtaining personal authorization by modes of popping window information or asking a person to upload personal information of the person by himself, and the like; the personal information processing rule may include information such as a personal information processor, a personal information processing purpose, a processing method, and a type of personal information to be processed.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an embodiment of an automated contract entry method of the present application. The main body of the contract completion automation method may be a contract completion automation device, for example, the contract completion automation method may be executed by a terminal device or a server or other processing device, where the terminal device may be a User Equipment (UE), a mobile device, a User terminal, a cellular phone, a cordless phone, a Personal Digital Assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, or the like. In some possible implementations, the contract-reimbursement automation method may be implemented by a processor calling computer-readable instructions stored in a memory.
Specifically, as shown in fig. 1, the method may include the steps of:
step S11: and acquiring a contract image.
Contract images are acquired, and in some embodiments, robotic process automation techniques may be used. The robot Process Automation technology (robot Process Automation) has the main function that the interaction of the work information and the service is executed according to a Process designed in advance through a robot, and the interaction of the work information and the service is automatically completed. For example, the robot process automation technology may automatically acquire the stored contract images according to a preset contract image acquisition process.
Step S12: and processing and identifying the contract image by using an optical identification technology to obtain the structured text data of the processed contract image.
Optical Character Recognition (OCR) refers to a technique of determining a Character shape by detecting dark and light patterns in an image, and then translating the shape into a computer text by a Character Recognition method; for example, for a paper contract, the characters in the paper contract document can be optically converted into a black-and-white image file, and the characters in the black-and-white image can be converted into a text format by a character detection and character recognition technology; or directly converting the contract image file into a black-and-white contract image file, and converting the characters in the black-and-white contract image into a text format by a character detection and character recognition technology.
The character detection is used for identifying and detecting characters in the contract image, and the character identification technology is used for obtaining characters corresponding to each character image.
It should be noted that the key information in the contract may be selected according to the type of the contract, and may be preset for different types of contracts to extract different key information.
Step S13: and inputting the structured text data in the contract image into a server by utilizing a robot process automation technology.
And according to a preset flow for inputting the structured text data, utilizing a robot flow automation technology to input the structured text data into a server so as to store the structured text data in the server.
Step S14: and processing the structured text data input into the server to generate additional contract information, and initiating a contract signing approval confirmation process according to the additional contract information.
The contract additional information refers to information containing structured text data and reminding items, a contract signing approval confirming process is initiated to business personnel according to the contract additional information, the business personnel confirm whether contract additional content needs to be modified according to key information and reminding item information of the structured text data in the contract additional information, if the business personnel confirm that the contract additional information does not need to be modified, the contract additional information is stored, an additional contract file can be generated according to the contract additional information, and the contract additional process is completed.
In this embodiment, the robot process automation technology and the optical recognition technology can be used to extract the key information in the contract image, automatically approve the contract, generate the additional entry information of the contract, and initiate the contract signing approval confirmation process. The business personnel only need to process the approval confirmation process, so that the repeated labor is reduced, the working efficiency of the business personnel is improved, and the labor cost is reduced.
As noted above, processing the contract image using optical recognition techniques, and in some embodiments, processing the contract image using optical recognition techniques, includes: and preprocessing the contract image by using an optical recognition technology to obtain a preprocessed contract image, and performing image segmentation processing on the preprocessed image according to a preset rule by using the optical recognition technology to obtain a segmented contract image.
The preprocessing is processing before the input contract image is identified and the structured text data is acquired, and the main purposes are to eliminate irrelevant information in the contract image, recover useful real information, enhance the detectability of relevant information and simplify the data to the maximum extent, thereby improving the reliability of the acquired structured text data.
The image segmentation process is a technique and process that divides the contract image into specific regions having unique properties. That is, the contract image is divided into a plurality of regions, and then all or one of the plurality of regions may be processed to improve the reliability of the acquired structured text data. The methods mainly include a threshold-based segmentation method, a region-based segmentation method, an edge-based segmentation method, and a particular theory-based segmentation method.
In this embodiment, the accuracy of contract image segmentation processing can be improved by preprocessing the contract image, the image segmentation processing is performed on the preprocessed image by using an optical recognition technology, the contract image can be divided into different regions so as to process the different regions respectively, and the different regions are processed respectively, so that information interference in other regions is reduced, the accuracy of extracting key information is improved, that is, the reliability of the acquired structured text data is improved.
As described above, the preprocessing and the image segmentation process are performed on the same image, and in some embodiments, the preprocessing on the same image includes: the method comprises the following steps of carrying out binarization, image noise reduction, inclination angle detection, correction and other processing on a contract image to obtain a preprocessed contract image, and carrying out image segmentation processing on the preprocessed image according to a preset rule, wherein the image segmentation processing comprises the following steps: and respectively carrying out image segmentation on the contract head part, the contract general part, the contract content part and the contract signing part in the contract image to obtain a segmented contract image.
The binarization of the contract image simply means that the gray value of a pixel point on the contract image is set to be 0 or 255, namely, the whole contract image after processing only has black and white pixel points. A common method is to set a threshold value T, and divide the pixel data of the contract image into two parts, i.e. a pixel group larger than T and a pixel data group smaller than T. The pixel values of the pixel data groups larger than T are set to white (or black), and the pixel values of the pixel data groups smaller than T are set to black (or white).
The threshold T may be set according to actual conditions, or different thresholds may be obtained in a self-adaptive manner according to different contract images by using a self-adaptive threshold method, where the method for obtaining the threshold is not limited.
Contract image denoising refers to a process of reducing noise in a contract image, where noise refers to data that affects acquisition of structured text data of the contract image, such as: noise generated when a scanner of the optical recognition technology scans an image, noise generated by image quality problems, and the like.
The contract inclination angle detection and correction refers to detecting and correcting the inclination angle of the same image file, so that the characters in the contract image are not deformed after being projected to a horizontal plane, and the methods include correction based on Hough transform, inclination correction based on character projection, conventional linear angle detection and the like, and are not limited herein.
After preprocessing the contract image, segmenting the contract image to obtain a contract head part, a contract general part, a contract content part and a contract signing part of the contract image, and specifically, using a layout analysis technology, wherein the layout analysis technology can be used for separating different parts in the contract image by comparing the line spacing in a section with the size of a line section between sections, judging whether blanks exist at the head and the tail of the section, the black pixel proportion of the image, the regularity of article typesetting and the like, so as to realize layout analysis, for example: the image is divided into blocks according to the blank in the contract image, the blocks are divided according to the blank part until the blocks cannot be divided, and finally different parts in the contract image are divided according to the proportion of black and white pixels in the blocks.
In this embodiment, the processing such as binarization, image noise reduction, inclination angle detection and correction is performed on the contract image, so that the processing in the later period can be simplified, the processing speed is increased, and the accuracy of the contract image segmentation processing is improved.
As described above, the contract image is processed using optical recognition technology, and in some embodiments, obtaining structured text data of the processed contract image includes: and carrying out character detection, character recognition and Chinese conversion processing on the processed contract image by utilizing an optical recognition technology to obtain the structured text data of the contract image.
The text detection is used for identifying and detecting the text in the contract image, for example: the method comprises the steps of firstly finding the upper limit and the lower limit of each line in a contract image, cutting the lines, finding the left and right boundaries of each character for each line, cutting the single character to obtain a single character image in a contract image text, further obtaining the character corresponding to each character image through a character recognition technology, namely converting the character image into a computer character, and in addition, according to the actual situation, other segmentation methods can be selected to extract the characters in the contract image to obtain key information in the contract image, such as information of contract signers, signing dates and the like.
Furthermore, the characters in the contract images are transcoded through Chinese conversion processing, and the condition of messy codes is reduced.
Further, model training may be performed according to the contract types to implement text detection and text recognition on the contract images of different contract types, to extract characters in different formats and different contract types, to obtain key information in the contract images, and the key information in the contract images may be verified by using the techniques of lexical analysis, syntactic analysis, semantic analysis, and the like, which are not described herein in detail.
In this embodiment, by performing chinese conversion processing, character detection, and character recognition on the processed contract image, the key character information in the contract image can be extracted to obtain the structured text data of the contract image.
As noted above, the contract image may be acquired using robotic process automation techniques, and in some embodiments, the contract image is acquired, including: and automatically acquiring a contract image in a preset time period according to a preset frequency by utilizing a robot process automation technology, wherein the contract image can be obtained by scanning a contract file and/or directly uploading the contract image.
The contract images in the preset time period are automatically acquired according to the preset frequency by utilizing a robot process automation technology, the preset frequency and the preset time period can be selected according to actual conditions, for example, all the contract images from the moment of ending to the moment of acquiring the images in the same day are acquired once a day, and the contract images can be obtained by scanning contract files and/or directly uploading the contract images by utilizing an optical recognition technology.
In the embodiment, a robot flow automation technology is utilized, contract images in a preset time period are automatically acquired according to a preset frequency, the labor of business personnel is reduced, and the efficiency of contract additional recording is improved.
As noted above, the structured text data in the contract image can be entered into the server using robotic process automation techniques, which in some embodiments includes: and calling an interface of the server by utilizing a robot process automation technology, and inputting the structured text data in the contract image into a contract template in a standard format to obtain standardized contract structured text data.
The contract template with the standard format is a standard template corresponding to the contract type to which the contract structured text data belongs, an interface of a server is called by utilizing a robot flow automation technology, and the structured text data in the contract image is input into the contract template with the standard format, namely, the key information in the contract image is input into the contract template with the standard format, so that the electronic document of the paper contract corresponding to the contract image is obtained.
In the embodiment, the contract structured text data is input into the contract template with the standard format to obtain the standardized contract structured text data, and business personnel do not need to input the text data into the template, so that the efficiency of contract additional entry is improved.
As noted above, in some embodiments, processing structured text data entered into a server includes: and detecting the structured text data in a preset time period by a timing task scheduling technology, carrying out batch processing on the detected structured text data, storing the processed structured text data as the supplementary entry information of the contract, and initiating a contract signing approval confirmation process.
At this time, please refer to fig. 2, fig. 2 is a schematic diagram of a framework of an embodiment of an automatic contract entry method according to the present application.
As shown in fig. 2, after the structured text data is entered into the server, the structured text data is detected within a preset time period by a timed task scheduling technique, for example: the method comprises the steps of detecting a server every day, carrying out batch processing on the structured text data obtained through detection, wherein the batch processing is used for sorting and classifying the structured text data, storing the sorted and classified structured text data as contract supplementary information, sending the contract supplementary information to a service worker, namely initiating a contract signing approval confirmation process, and the service worker confirms the contract category and other key information according to the contract supplementary information to finish the contract signing approval confirmation process.
Further, the timed task scheduling technology may also detect the contract structured text data entered into the contract template within a preset time period to complete the contract signing approval confirmation process, which is the same as the detection of the structured text data and is not described herein again.
In the embodiment, the contract information data is periodically subjected to batch processing through a timing task scheduling technology and is stored as the contract additional recording information, so that a large amount of repeated work in the contract additional recording is reduced, and the efficiency of the contract additional recording is improved.
As mentioned above, initiating the contract signing approval validation process according to the supplementary contract information, and in some embodiments, initiating the contract signing approval validation process according to the supplementary contract information includes: and marking the contract additional information with labels and sending the labels to service personnel, wherein different labels are used for representing different contract types.
The supplementary recording information of the contract is labeled, different labels represent different contract types, business personnel can confirm the contract category according to the label information contained in the supplementary recording information of the contract, for example, different labels are labeled on the supplementary recording information of different types of contracts, then, for example, different labels are labeled on the supplementary recording information of different time periods, and different labels or label combinations can be set according to actual conditions to realize the classification of the supplementary recording information.
Further, reminding item information can be generated in the contract additional record information to remind service personnel to examine and approve the contract additional record processing flow.
By labeling the contract additional entry information to represent different contract types, the labor of business personnel can be reduced, and the auditing efficiency of the business personnel is accelerated.
It will be understood by those skilled in the art that in the method of the present invention, the order of writing the steps does not imply a strict order of execution and any limitations on the implementation, and the specific order of execution of the steps should be determined by their function and possible inherent logic.
According to the scheme, the key information in the contract image can be extracted through a robot process automation technology and an optical recognition technology, the contract is automatically approved, the supplementary contract information is generated, and a contract signing approval confirmation process is started. The repeated labor is reduced, the working efficiency of business personnel is improved, and the labor cost is reduced.
In some embodiments, the contract image is processed using optical recognition techniques, including: and preprocessing the contract image by using an optical recognition technology to obtain a preprocessed contract image, and performing image segmentation processing on the preprocessed image according to a preset rule by using the optical recognition technology to obtain a segmented contract image.
In some embodiments, preprocessing the identical image includes: the method comprises the following steps of carrying out binarization, image noise reduction, inclination angle detection, correction and other processing on a contract image to obtain a preprocessed contract image, and carrying out image segmentation processing on the preprocessed image according to a preset rule, wherein the image segmentation processing comprises the following steps: and respectively carrying out image segmentation on the contract head part, the contract general part, the contract content part and the contract signing part in the contract image to obtain the contract image after segmentation processing.
In some embodiments, obtaining the structured text data of the processed contract image comprises: and carrying out character detection, character recognition and Chinese conversion processing on the processed contract image by utilizing an optical recognition technology to obtain the structured text data of the contract image.
In some embodiments, obtaining a contract image includes: and automatically acquiring a contract image in a preset time period according to a preset frequency by utilizing a robot process automation technology, wherein the contract image can be obtained by scanning a contract file and/or directly uploading the contract image.
In some embodiments, the structured text data in the contract image is entered into a server using robotic process automation techniques, including: and calling an interface of the server by utilizing a robot process automation technology, and inputting the structured text data in the contract image into a contract template in a standard format to obtain standardized contract structured text data.
In some embodiments, processing structured text data entered into a server includes: and detecting contract information data in a preset time period by a timing task scheduling technology, carrying out approval processing on the detected contract information data, storing the contract information as contract supplementary information, and initiating a contract signing approval confirmation process.
In some embodiments, initiating a contract signing approval validation process according to the contract supplementary information comprises: and marking the contract additional information with labels and sending the labels to service personnel, wherein different labels are used for representing different contract types.
Referring to fig. 3, fig. 3 is a schematic diagram of a frame of an embodiment of an electronic device according to the present application. The electronic device 30 includes a memory 31 and a processor 32 coupled to each other, and the processor 32 is configured to execute program instructions stored in the memory 31 to implement the steps of any of the embodiments of the contract-entry automation method described above. In one particular implementation scenario, the electronic device 30 may include, but is not limited to: a microcomputer, a server, and the electronic device 30 may also include a mobile device such as a notebook computer, a tablet computer, and the like, which is not limited herein.
In particular, the processor 32 is configured to control itself and the memory 31 to implement the steps of any of the contract-reimbursement automation method embodiments described above. Processor 32 may also be referred to as a CPU (Central Processing Unit). The processor 32 may be an integrated circuit chip having signal processing capabilities. The Processor 32 may also be a general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. In addition, the processor 32 may be commonly implemented by an integrated circuit chip.
Referring to fig. 4, fig. 4 is a block diagram of an embodiment of a non-volatile computer readable storage medium 40 according to the present application. The non-transitory computer readable storage medium 40 stores program instructions 401 executable by the processor for implementing the steps of any of the contract entry automation method embodiments described above.
In some embodiments, functions of or modules included in the apparatus provided in the embodiments of the present disclosure may be used to execute the method described in the above method embodiments, and specific implementation thereof may refer to the description of the above method embodiments, and for brevity, will not be described again here.
The foregoing description of the various embodiments is intended to highlight various differences between the embodiments, and the same or similar parts may be referred to each other, and for brevity, will not be described again herein.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a module or a unit is merely one type of logical division, and an actual implementation may have another division, for example, a unit or a component may be combined or integrated with another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some interfaces, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
Claims (10)
1. An automated method for entry-filling a contract, comprising:
acquiring a contract image;
processing and identifying the contract image by using an optical identification technology to obtain structured text data of the processed contract image;
inputting the structured text data in the contract image into a server by utilizing a robot process automation technology;
and processing the structured text data of the input server to generate additional contract information, and initiating a contract signing approval confirmation process according to the additional contract information.
2. The automated method of treaty entry of claim 1 wherein said processing the treaty image using optical recognition techniques comprises:
preprocessing the contract image by utilizing an optical recognition technology to obtain a preprocessed contract image,
and carrying out image segmentation processing on the preprocessed image according to a preset rule by utilizing an optical recognition technology to obtain a contract image after segmentation processing.
3. The automated method of treaty entry of claim 2, wherein said preprocessing the treaty image comprises:
the contract image is processed by binaryzation, image noise reduction, inclination angle detection, correction and the like to obtain a preprocessed contract image,
the image segmentation processing is performed on the preprocessed image according to a preset rule, and the image segmentation processing comprises the following steps:
and respectively carrying out image segmentation on the contract head part, the contract general part, the contract content part and the contract signing part in the contract image to obtain a segmented contract image.
4. The automated method of treaty entry of claim 1, wherein said obtaining of the processed structured textual data of the treaty image comprises:
and carrying out character detection, character recognition and Chinese conversion processing on the processed contract image by utilizing the optical recognition technology to obtain the structured text data of the contract image.
5. The automated method of treaty entry of claim 1, wherein said obtaining a treaty image comprises:
automatically acquiring contract images in a preset time period according to a preset frequency by utilizing a robot process automation technology,
wherein, the contract image can be obtained by scanning the contract document and/or directly uploading the contract image.
6. The automated method of entry-after-contract of claim 1, wherein said entering structured text data in the contract image into a server using robotic flow automation techniques comprises:
and calling an interface of the server by utilizing the robot process automation technology, and inputting the structured text data in the contract image into a contract template with a standard format to obtain standardized contract structured text data.
7. The automated method of treaty entry according to claim 1, wherein processing the structured text data entered into the server comprises:
and detecting the structured text data in a preset time period by a timed task scheduling technology, carrying out batch processing on the detected structured text data, storing the processed structured text data as the supplementary entry information of the contract, and initiating a contract signing approval confirmation process.
8. The automated method for supplementary treaty of claim 7, wherein the initiating a treaty signing approval validation process according to the supplementary treaty information comprises:
labeling the contract additional recording information, sending the labeled contract additional recording information to business personnel,
wherein different tags are used to characterize different contract types.
9. An electronic device comprising a memory and a processor coupled to each other, the processor being configured to execute program instructions stored in the memory to implement the automated method of contract entry according to any one of claims 1 to 8.
10. A non-transitory computer readable storage medium having stored thereon program instructions that, when executed by a processor, implement the automated method of contract completions of any of claims 1 to 8.
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| CN202210734655.6A CN115063114A (en) | 2022-06-25 | 2022-06-25 | Contract additional recording automation method, electronic equipment and storage medium |
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| CN202210734655.6A CN115063114A (en) | 2022-06-25 | 2022-06-25 | Contract additional recording automation method, electronic equipment and storage medium |
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| CN113642557A (en) * | 2021-08-10 | 2021-11-12 | 中国民用航空局信息中心 | System and method for supplementing historical data in airworthiness field |
| CN113723918A (en) * | 2021-08-25 | 2021-11-30 | 北京来也网络科技有限公司 | Information input method and device combining RPA and AI |
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