CN114118949B - Information processing system and method for bill - Google Patents

Information processing system and method for bill Download PDF

Info

Publication number
CN114118949B
CN114118949B CN202111318813.1A CN202111318813A CN114118949B CN 114118949 B CN114118949 B CN 114118949B CN 202111318813 A CN202111318813 A CN 202111318813A CN 114118949 B CN114118949 B CN 114118949B
Authority
CN
China
Prior art keywords
financial
data
graph
financial data
sequence
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202111318813.1A
Other languages
Chinese (zh)
Other versions
CN114118949A (en
Inventor
王广清
张大兵
刘嫣
赵开一
贾顺迪
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Gas Group Co Ltd
Original Assignee
Beijing Gas Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Gas Group Co Ltd filed Critical Beijing Gas Group Co Ltd
Priority to CN202111318813.1A priority Critical patent/CN114118949B/en
Publication of CN114118949A publication Critical patent/CN114118949A/en
Application granted granted Critical
Publication of CN114118949B publication Critical patent/CN114118949B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/103Workflow collaboration or project management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/12Accounting
    • G06Q40/125Finance or payroll
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The invention provides a bill information processing system and method, which solve the technical problems of efficiency and error of the conventional key financial data transfer. The method comprises the following steps: forming a time-series financial graph sequence according to the customized financial data; extracting graphic information in the financial graphics to form a financial data sequence corresponding to the financial graphics; checking the financial data sequence and a third-party financial log, and identifying a qualified financial data sequence and an abnormal financial data sequence; forwarding the qualified financial data to a business system; and forwarding the abnormal financial data and the associated data to the research and judgment terminal for error correction feedback. The pattern recognition technology is utilized to form the effective transmission of financial data between two independent systems through information carrier change, so that the efficiency defect and the error defect caused by manual intervention are avoided. Meanwhile, a verification mechanism is formed through comparison of the related data of the third party, and effective combination of effective filtering of abnormal data and a subsequent error correction process is guaranteed.

Description

Information processing system and method for bill
Technical Field
The invention relates to the technical field of data processing, in particular to an information processing system and method for bills.
Background
The data processing process between the electronic accounting system and the ERP (EnterpriseResourcePlanning) system is relatively independent, and a direct data interaction mode is lacked, for example, the user bill data and the user resource data cannot be directly communicated. In the prior art, manual processing is adopted when the key data of the bill are recorded and transferred between systems, the time cost and the labor cost are too high, and the manual identification of the key data of the bill has higher error rate.
Disclosure of Invention
In view of the above problems, embodiments of the present invention provide a system and a method for processing information of a ticket, which solve the technical problems of efficiency and error of the existing key financial data transfer.
The information processing method of the bill provided by the embodiment of the invention comprises the following steps:
forming a time-series financial graph sequence according to the customized financial data;
extracting graphic information in the financial graphics to form a financial data sequence corresponding to the financial graphics;
checking the financial data sequence and a third-party financial log, and identifying a qualified financial data sequence and an abnormal financial data sequence;
forwarding the qualified financial data to a business system;
and forwarding the abnormal financial data and the associated data to the research and judgment terminal for error correction feedback.
In one embodiment of the present invention, the forming process of the financial graphic sequence includes:
performing pattern scanning or pattern capturing on the financial bill to form a financial pattern;
adding a time stamp and a source identifier to the formed financial graph;
and forming a corresponding time-ordered financial graph sequence according to the time stamp and the source identification.
In an embodiment of the present invention, the forming process of the financial data sequence includes:
selecting a financial graph sequence with a source and a time period determined, performing graph recognition to extract a background graph, and comparing the background graph with a preset graph mark to form background graph data;
performing pattern recognition according to the background pattern data to extract financial data and financial data types;
and establishing a financial data sequence of financial data in the financial graph according to the financial data type.
In one embodiment of the present invention, the pattern recognition process includes:
determining an alternative area range of the financial graph according to the background graph data;
forming a reference lattice within the range of the candidate area of the financial graph by using the background graph data;
forming a virtual line segment in an alternative area range of the financial graph by using the reference dot matrix;
corresponding to the financial pattern: determining a standard background graph, a standard alternative region range in the standard background graph, a standard reference dot matrix in the standard alternative region range and a standard virtual line segment in the alternative region range according to the preset graph mark;
forming deformation data in the range of the candidate area according to the offset error of the virtual line segment relative to the corresponding standard virtual line segment;
and adjusting the financial graph in the range of the alternative area according to the deformation data to identify the financial data or the financial data type.
In an embodiment of the present invention, the checking process includes:
acquiring third-party financial flow data, and performing correlation comparison with a financial data sequence;
outputting to the qualified financial data sequence when the correlation comparison is consistent;
and outputting the correlation comparison deviation to the abnormal financial data sequence.
In an embodiment of the present invention, the forwarding to the service system includes:
forwarding the qualified financial data sequence to a service system data input interface;
and forming mapping data corresponding to the financial graph sequence and the financial data sequence according to the lattice financial data sequence and storing.
In an embodiment of the present invention, the error correction feedback process includes:
forming content error mapping data between the abnormal financial data sequence and the corresponding financial pattern sequence;
forming an error information collection table according to the content error mapping data and forwarding the error information collection table to a research and judgment terminal;
and receiving an error information feedback form fed back by the research and judgment terminal to update the qualified financial data sequence.
An information processing system for a ticket, comprising:
the memory is used for storing program codes corresponding to the processing process of the bill information processing method;
and a processor for executing the program code.
The information processing system of the bill of the embodiment of the invention comprises:
data patterning means for forming a timed financial pattern sequence based on the customized financial data;
the data identification device is used for extracting graphic information in the financial graphics to form a financial data sequence corresponding to the financial graphics;
the data verification device is used for verifying the financial data sequence and the third-party financial log and identifying the qualified financial data sequence and the abnormal financial data sequence;
service connection means for forwarding qualified financial data to a service system;
and the data research and judgment device is used for forwarding the abnormal financial data and the associated data to the research and judgment terminal for error correction feedback.
The information processing system and the method for the bill form effective transmission of financial data between two independent systems through information carrier change by utilizing a pattern recognition technology, and avoid efficiency defects and error defects caused by manual intervention. Meanwhile, a verification mechanism is formed through comparison of the related data of the third party, and effective combination of effective filtering of abnormal data and a subsequent error correction process is guaranteed.
Drawings
Fig. 1 is a flow chart of an information processing method of a bill according to an embodiment of the invention.
FIG. 2 is a schematic diagram of an information processing system of a ticket according to an embodiment of the invention.
Detailed Description
The present invention will be further described with reference to the drawings and the detailed description below, in order to make the objects, technical solutions and advantages of the present invention more apparent. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The information processing method of the bill according to an embodiment of the invention is shown in fig. 1. In fig. 1, the present embodiment includes:
step 100: a timed financial graphics sequence is formed based on the customized financial data.
As will be appreciated by those skilled in the art, financial data is typically physical data carrying financial information, and has different data presentation formats for different data providers of physical data, i.e., the same type of financial information may form different customized physical data. The customized financial data is based on customized notes. Patterning the financial data may form a financial pattern corresponding to the financial data.
Step 200: and extracting graphic information in the financial graphics to form a financial data sequence corresponding to the financial graphics.
Those skilled in the art will appreciate that the text pattern and the identification pattern in the graph can be identified with a high probability by OCR (Optical Character Recognition) technology. Acquiring financial data in a financial graph by OCR technology may achieve an acceptable balance between data acquisition efficiency and data error rate. The financial data includes data types and data values.
Step 300: and checking the financial data sequence with a third-party financial log, and identifying the qualified financial data sequence and the abnormal financial data sequence.
The third party financial log includes, but is not limited to, the financial data provider's aggregate data, electronic transaction data or reconciliation data, etc., as well as the financial data recipient's aggregate data, electronic transaction data or reconciliation data, etc. Using the reliability of the available financial information of another path as a financial log for financial data verification, error data in the financial data sequence can be effectively sorted.
Step 400: and forwarding the qualified financial data to the business system.
The qualified financial data is forwarded to the business system to satisfy the integrity and persistence of the business process.
Step 500: and forwarding the abnormal financial data and the associated data to the research and judgment terminal for error correction feedback.
The abnormal financial data can be corrected and converted into qualified financial data by further research.
The bill information processing method of the embodiment of the invention utilizes the pattern recognition technology to form the effective transmission of financial data between two independent systems through the change of the information carrier, thereby avoiding the efficiency defect and the error defect caused by manual intervention. Meanwhile, a verification mechanism is formed through comparison of the related data of the third party, and effective combination of effective filtering of abnormal data and a subsequent error correction process is guaranteed.
As shown in fig. 1, in an embodiment of the present invention, step 100 includes:
step 110: and performing pattern scanning or pattern capturing on the financial bill to form a financial pattern.
The graphic scan is for paper tickets, the graphic capture is for electronic pictures, and forming the financial graphic includes normalizing the graphic size, color gamut, or format.
Step 120: adding a time stamp and a source identification to the formed financial graph.
The time stamp is incremented in units of time divided by year, month and day. The source identifier is set according to customized information of the financial data source. Financial data sources, including but not limited to financial institution names, customized information for the financial data sources may be pre-set or formatted.
Step 130: and forming a corresponding time-ordered financial graph sequence according to the time stamp and the source identification.
The time stamp and the source identifier can be used as screening rules for financial graphics to form a financial graphics sequence as needed.
According to the bill information processing method, the data standardization measurement dimension is established by utilizing the financial information patterning process, so that financial information obtained discretely under a long time scale has a unified measurement dimension, and the acquisition standardization of financial graphics is ensured.
As shown in fig. 1, in an embodiment of the present invention, step 200 includes:
step 210: and selecting a financial graph sequence with a source and a time period determined, performing graph recognition, extracting a background graph, and comparing the background graph with a preset graph mark to form background graph data.
Background graphics include, but are not limited to, lines, localized graphics formed by lines, global graphics formed by localized graphics, single text patterns, multiple text patterns, indivisible patterns, and the like. The preset pattern is preset and customized according to the basic pattern of the financial data source. The base pattern includes, but is not limited to, ground marks, tables, or coordinate reference points, etc.
Step 220: and performing pattern recognition according to the background pattern data to extract the financial data and the financial data type.
The pattern recognition locates text patterns from the background pattern data according to the line patterns, locates according to the text-based meanings of the text patterns and determines the financial data type according to comparison with a preset type list. Corresponding financial value data or financial status data is determined based on the financial data type location and the surrounding line pattern.
Step 230: and establishing a financial data sequence of financial data in the financial graph according to the financial data type.
In one embodiment of the invention, a key value pair of the financial data type and the financial data is established, a data segment identifier of the key value pair is formed through a time stamp and a source identifier, and a financial data sequence is formed through the data segment. The financial data sequence may be formed on demand by a time stamp and a source identifier, or may be formed incrementally based on the time stamp and the source identifier. The financial data sequence may be formatted in a spreadsheet or electronic form.
According to the bill information processing method, the financial graph is subjected to hierarchical recognition to extract financial data corresponding to the financial data type, an ordered substantial information sequence is established, and data is indirectly transmitted across systems to realize automation in a data carrier change mode, so that intersystem information interference and manual intervention at the stage are avoided.
As shown in FIG. 1, in one embodiment of the present invention, the financial pattern formed for the paper financial data, step 220 comprises:
step 221: an alternate region range of the financial graphic is determined from the background graphic data.
The range of the alternative area includes numerical class graphics of the financial data or literal mix class graphics of the financial data type.
Step 222: a reference lattice is formed within the range of the candidate areas of the financial graphic using the background graphic data.
The background graphic data may be used to determine turning points in the edges, vertices, midpoints, and contours of the range of the candidate region, and may also determine turning points in the edges, vertices, midpoints, and contours of the range of the candidate region. I.e. a reference point centered on the alternative area.
Step 223: virtual line segments are formed within the range of the candidate areas of the financial graph using the reference lattice.
A group of virtual line segments covering the financial graph in the range of the alternative area can be formed by using the connecting line segments among the reference points, and the trend and the arrangement density of the virtual line segments have randomness.
Step 224: corresponding to the financial pattern: and determining a standard background graph, a standard alternative region range in the standard background graph, a standard reference dot matrix in the standard alternative region range and a standard virtual line segment in the alternative region range according to the preset graph identification.
Namely, the standard virtual line segment corresponds to the virtual line segment, the standard background graph corresponds to the background graph, the standard alternative region range corresponds to the alternative region range, and the standard reference lattice corresponds to the reference lattice. The standard parameters are not affected by patterning errors and serve as a quantization basis for measuring the financial pattern determination area formed by scanning.
Step 225: and forming deformation data in the range of the candidate area according to the offset error of the virtual line segment relative to the corresponding standard virtual line segment.
The deformation data includes, but is not limited to, deformation location, deformation range, deformation direction, deformation magnitude, etc. within the range of the candidate region.
Step 226: and adjusting the financial graph in the range of the alternative area according to the deformation data to identify the financial data or the financial data type.
According to the bill information processing method, the formed virtual line segment set is utilized to carry out deformation parameter identification on the area to be identified in the pattern identification process, and the measurement scale of local deformation is obtained through comparison with the standard parameter, so that paper processing defects are eliminated, and the pattern identification reliability and accuracy are effectively improved.
As shown in fig. 1, in an embodiment of the present invention, step 300 includes:
step 310: and acquiring third-party financial flow data, and performing correlation comparison with a financial data sequence.
The third party financial instrument data includes, but is not limited to, serial form data or account serial form data that identifies the financial institution. Correlation comparisons include, but are not limited to, comparisons of correlations between account numbers or card numbers; a comparison of the correlation between the date or/and the graphical identifier; correlation between financial data types. Correlation includes, but is not limited to, similarity, identity, component parts, mutual exclusion, progression, and the like.
Step 320: and outputting the qualified financial data sequence when the correlation comparison is consistent.
The qualified financial data sequence has a process of data reordering, periodic ordering, after receipt of incremental data.
In one embodiment of the invention, the sequence of qualifying financial data subtracts the corresponding qualifying financial data from the business feedback data.
Step 330: and outputting the correlation comparison deviation to the abnormal financial data sequence.
The abnormal financial data sequence has a process of reordering data, and periodically ordering, after receiving incremental data.
In one embodiment of the invention, the sequence of abnormal financial data subtracts the corresponding abnormal financial data from the error correction feedback data.
The bill information processing method of the embodiment of the invention provides flexible verification rules in the verification process, and forms parallel channels for normal data output and fault-tolerant abnormal data output, so that business processing and abnormal processing can be performed in parallel and asynchronously, and the minimum influence of abnormal data on a business system is ensured.
As shown in fig. 1, in an embodiment of the present invention, step 400 includes:
step 410: and forwarding the qualified financial data sequence to the business system data input interface.
Step 420: and forming mapping data corresponding to the financial graph sequence and the financial data sequence according to the lattice financial data sequence and storing.
As shown in fig. 1, in an embodiment of the present invention, step 500 includes:
step 510: content error map data is formed between the anomalous financial data sequence and the corresponding financial pattern sequence.
Content error map data includes, but is not limited to, locations, ranges, and highlights of abnormal financial data on the corresponding financial graph.
Step 520: and forming an error information collection table according to the content error mapping data and forwarding the error information collection table to the research and judgment terminal.
The error information collection table includes fields for formally stored financial patterns, abnormal financial data involved, and research result data. The research terminal includes, but is not limited to, an email address, a web service address, a web server address, or a mobile terminal.
Step 530: and receiving an error information feedback form fed back by the research and judgment terminal to update the qualified financial data sequence.
The error information feedback table includes abnormal financial data and corresponding research result data. And replacing the abnormal financial data with the research result data to form corresponding qualified financial data.
The information processing method of the bill links the processing and feedback processing processes of the qualified financial data and the abnormal financial data with the business system, ensures the data processing interactivity when the information processing process interacts with the business system, and ensures that the information processing process can keep the reliable interaction of the input updating and the input feedback in an asynchronous state.
An information processing system of a ticket according to an embodiment of the present invention includes:
the memory is used for storing program codes corresponding to the processing process of the information processing method of the bill in the embodiment;
and the processor is used for executing the program codes corresponding to the processing procedures of the information processing method of the bill in the embodiment.
The processor may employ a DSP (Digital Signal Processor) digital signal processor, an FPGA (Field-Programmable Gate Array) Field programmable gate array, a MCU (Microcontroller Unit) system board, a SoC (system on a chip) system board, or an PLC (Programmable Logic Controller) minimum system including I/O.
An information processing system of a ticket according to an embodiment of the present invention is shown in fig. 2. In fig. 2, the present embodiment includes:
data patterning means 10 for forming a timed financial graphic sequence based on the customized financial data;
data recognition means 20 for extracting graphic information in the financial graphic to form a financial data sequence corresponding to the financial graphic;
the data verification device 30 is used for verifying the financial data sequence with the third-party financial log and identifying the qualified financial data sequence and the abnormal financial data sequence;
service connection means 40 for forwarding qualified financial data to the service system;
and the data research and judgment device 50 is used for forwarding the abnormal financial data and the associated data to the research and judgment terminal for error correction feedback.
As shown in fig. 2, in one embodiment of the present invention, the data mapping apparatus 10 includes:
the figure acquisition module 11 is used for carrying out figure scanning or figure capturing on the financial bill to form a financial figure;
a graphic marking module 12 for adding a time stamp and a source identification to the formed financial graphic;
the graphic sequence module 13 is configured to form a corresponding time-sequenced financial graphic sequence according to the timestamp and the source identifier.
As shown in fig. 2, in an embodiment of the present invention, the data identifying apparatus 20 includes:
the background extraction module 21 is used for selecting a financial graph sequence determined by a source and a time period to perform graph recognition and extract a background graph, and comparing the background graph with a preset graph mark to form background graph data;
a data recognition module 22 for performing pattern recognition based on the background pattern data to extract financial data and financial data types;
the data planning module 23 is configured to establish a financial data sequence of financial data in the financial graph according to the financial data type.
As shown in fig. 2, in one embodiment of the present invention, 22 comprises:
a region selection unit 22a for determining an alternative region range of the financial figure from the background figure data;
a reference determination unit 22b for forming a reference lattice within the range of the candidate area of the financial figure using the background figure data;
a line segment virtual unit 22c for forming a virtual line segment within the range of the candidate region of the financial figure using the reference dot matrix;
reference standard unit 22d for corresponding financial patterns: determining a standard background graph, a standard alternative region range in the standard background graph, a standard reference dot matrix in the standard alternative region range and a standard virtual line segment in the alternative region range according to the preset graph mark;
an error quantization unit 22e, configured to form deformation data within the candidate region according to the offset error of the virtual line segment relative to the corresponding standard virtual line segment;
and a gain identification unit 22f for identifying the financial data or the financial data type according to the financial pattern after the deformation data is adjusted within the range of the candidate region.
As shown in fig. 2, in an embodiment of the present invention, the data verification device 30 includes:
the correlation comparison module 31 is used for acquiring third-party financial flow data and performing correlation comparison with a financial data sequence;
a qualified sequence module 32, configured to output a qualified financial data sequence when the correlation comparison is consistent;
an anomaly sequence module 33 for outputting to the anomaly financial data sequence when the correlation comparison deviates.
As shown in fig. 2, in an embodiment of the present invention, the service connection device 40 includes:
a forwarding service module 41, configured to forward the qualified financial data sequence to a service system data input interface;
and the data backup module 42 is used for forming and storing mapping data corresponding to the financial graph sequence and the financial data sequence according to the lattice financial data sequence.
As shown in fig. 2, in an embodiment of the present invention, the data grinding device 50 includes:
an error description module 51 for forming content error map data between the abnormal financial data sequence and the corresponding financial pattern sequence;
the error forwarding module 52 is configured to form an error information collection table according to the content error mapping data and forward the error information collection table to the studying and judging terminal;
and the feedback processing module 53 is used for receiving the error information feedback form fed back by the research and judgment terminal and updating the qualified financial data sequence.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims (7)

1. A bill information processing method, characterized by comprising:
forming a time-series financial graph sequence according to the customized financial data;
extracting graphic information in the financial graphics to form a financial data sequence corresponding to the financial graphics;
checking the financial data sequence and a third-party financial log, and identifying a qualified financial data sequence and an abnormal financial data sequence;
forwarding the qualified financial data to a business system;
the abnormal financial data and the associated data are forwarded to a research and judgment terminal for error correction feedback;
the process for forming the financial data sequence comprises the following steps:
selecting a financial graph sequence with a source and a time period determined, performing graph recognition to extract a background graph, and comparing the background graph with a preset graph mark to form background graph data;
performing pattern recognition according to the background pattern data to extract financial data and financial data types;
establishing a financial data sequence of financial data in the financial graph according to the financial data type;
the financial graph formed for the paper financial data, the graph recognition based on the background graph data to extract the financial data and the financial data type includes:
determining an alternative area range of the financial graph according to the background graph data, wherein the alternative area range comprises a numerical class graph of the financial data or a character mixed class graph of the financial data type;
forming a reference dot matrix in an alternative area range of the financial graph by using the background graph data, wherein the reference dot matrix takes the alternative area as a center and comprises turning points in edges, vertexes, midpoints and contours of the alternative area range and turning points in edges, vertexes, midpoints and contours of the alternative area in an extension range;
forming a group of virtual line segments in the range of the alternative area of the financial graph by using the reference dot matrix, wherein the virtual line segments cover the financial graph in the range of the alternative area, and randomness exists in the trend and the arrangement density of the virtual line segments;
corresponding to the financial pattern: determining a standard background graph, a standard alternative region range in the standard background graph, a standard reference lattice in the standard alternative region range and a standard virtual line segment in the alternative region range according to the preset graph mark, wherein the standard virtual line segment corresponds to the virtual line segment, the standard background graph corresponds to the background graph, the standard alternative region range corresponds to the alternative region range, and the standard reference lattice corresponds to the reference lattice;
forming deformation data in the range of the candidate area according to the offset error of the virtual line segment relative to the corresponding standard virtual line segment, wherein the deformation data comprises but is not limited to deformation positions, deformation ranges, deformation directions and deformation amplitudes in the range of the candidate area;
according to the deformation data, adjusting the financial graph in the range of the alternative area, and then identifying financial data or financial data types;
the formation of the financial data sequence includes:
and establishing a key value pair of the financial data type and the financial data, forming a data segment identifier of the key value pair through a time stamp and a source identifier, forming a financial data sequence through data segments according to requirements or forming the financial data sequence through data segment increment.
2. The information processing method of a ticket according to claim 1, wherein the forming process of the financial graphic sequence includes:
performing pattern scanning or pattern capturing on the financial bill to form a financial pattern;
adding a time stamp and a source identifier to the formed financial graph;
and forming a corresponding time-ordered financial graph sequence according to the time stamp and the source identification.
3. The ticket information processing method as claimed in claim 1, wherein the verifying process comprises:
acquiring third-party financial flow data, and performing correlation comparison with a financial data sequence;
outputting to the qualified financial data sequence when the correlation comparison is consistent;
and outputting the correlation comparison deviation to the abnormal financial data sequence.
4. The ticket information processing method according to claim 1, wherein the forwarding to the service system comprises:
forwarding the qualified financial data sequence to a service system data input interface;
and forming mapping data corresponding to the financial graph sequence and the financial data sequence according to the lattice financial data sequence and storing.
5. The ticket information processing method according to claim 1, wherein the error correction feedback process includes:
forming content error mapping data between the abnormal financial data sequence and the corresponding financial pattern sequence;
forming an error information collection table according to the content error mapping data and forwarding the error information collection table to a research and judgment terminal;
and receiving an error information feedback form fed back by the research and judgment terminal to update the qualified financial data sequence.
6. An information processing system for a ticket, comprising:
a memory for storing program codes corresponding to the information processing method processing procedures of the ticket according to any one of claims 1 to 5;
and a processor for executing the program code.
7. An information processing system for a ticket, comprising:
data patterning means for forming a timed financial pattern sequence based on the customized financial data;
the data identification device is used for extracting graphic information in the financial graphics to form a financial data sequence corresponding to the financial graphics;
the data verification device is used for verifying the financial data sequence and the third-party financial log and identifying the qualified financial data sequence and the abnormal financial data sequence;
service connection means for forwarding qualified financial data to a service system;
the data research and judgment device is used for forwarding the abnormal financial data and the associated data to the research and judgment terminal for error correction feedback;
the data identification device includes:
the background extraction module is used for selecting a financial graph sequence determined by a source and a time period to perform graph recognition and extract a background graph, and comparing the background graph with a preset graph mark to form background graph data;
the data identification module is used for carrying out pattern identification according to the background pattern data to extract financial data and financial data types;
the data planning module is used for establishing a financial data sequence of financial data in the financial graph according to the financial data type; the formation of the financial data sequence includes:
establishing a key value pair of the financial data type and the financial data, forming a data segment identifier of the key value pair through a time stamp and a source identifier, forming a financial data sequence through data segments according to requirements or forming a financial data sequence through data segment increment;
the data identification module comprises:
the area selection unit is used for determining an alternative area range of the financial graph according to the background graph data, wherein the alternative area range comprises a numerical value type graph of the financial data or a character mixed type graph of the financial data type;
a reference determining unit, configured to form a reference lattice within an alternative region range of the financial graph using the background graph data, where the reference lattice is centered on the alternative region, and includes turning points in edges, vertices, midpoints and contours defining the alternative region range, and includes turning points in edges, vertices, midpoints and contours within an extension range of the alternative region;
the line segment virtual unit is used for forming virtual line segments in the range of the alternative area of the financial graph by utilizing the reference dot matrix, wherein the virtual line segments cover the financial graph in the range of the alternative area, and the trend and the arrangement density of the virtual line segments are random;
a reference standard unit for corresponding to the financial pattern: determining a standard background graph, a standard alternative region range in the standard background graph, a standard reference lattice in the standard alternative region range and a standard virtual line segment in the alternative region range according to the preset graph mark, wherein the standard virtual line segment corresponds to the virtual line segment, the standard background graph corresponds to the background graph, the standard alternative region range corresponds to the alternative region range, and the standard reference lattice corresponds to the reference lattice;
an error quantization unit, configured to form deformation data within an alternative region according to an offset error of the virtual line segment relative to the corresponding standard virtual line segment, where the deformation data includes, but is not limited to, a deformation position, a deformation range, a deformation direction, and a deformation amplitude within the alternative region;
and the gain identification unit is used for identifying the financial data or the financial data type according to the financial pattern after the deformation data are adjusted within the range of the alternative area.
CN202111318813.1A 2021-11-09 2021-11-09 Information processing system and method for bill Active CN114118949B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111318813.1A CN114118949B (en) 2021-11-09 2021-11-09 Information processing system and method for bill

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111318813.1A CN114118949B (en) 2021-11-09 2021-11-09 Information processing system and method for bill

Publications (2)

Publication Number Publication Date
CN114118949A CN114118949A (en) 2022-03-01
CN114118949B true CN114118949B (en) 2023-06-27

Family

ID=80377707

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111318813.1A Active CN114118949B (en) 2021-11-09 2021-11-09 Information processing system and method for bill

Country Status (1)

Country Link
CN (1) CN114118949B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1804861A (en) * 2005-12-29 2006-07-19 北大方正集团有限公司 Document image geometry fault correction method
CN101064007A (en) * 2006-04-29 2007-10-31 北大方正集团有限公司 Digital correction method for geometric distortion of form image
CN104574419A (en) * 2015-01-28 2015-04-29 深圳市安健科技有限公司 Lens distortion parameter calibration method and system
CN106845508A (en) * 2015-12-07 2017-06-13 腾讯科技(深圳)有限公司 The methods, devices and systems of release in a kind of detection image
CN107194400A (en) * 2017-05-31 2017-09-22 北京天宇星空科技有限公司 A kind of finance reimbursement unanimous vote is according to picture recognition processing method
CN108537237A (en) * 2018-04-04 2018-09-14 深圳怡化电脑股份有限公司 Characteristic area extracting method, device, equipment and the storage medium of bill
CN109145915A (en) * 2018-07-27 2019-01-04 武汉科技大学 License plate rapid distortion antidote under a kind of complex scene

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101727682B (en) * 2008-10-17 2011-12-21 山东新北洋信息技术股份有限公司 Electronic note processing method
CN109887153B (en) * 2019-02-03 2021-08-24 国信电子票据平台信息服务有限公司 Finance and tax processing method and system
CN110472660A (en) * 2019-07-09 2019-11-19 深圳壹账通智能科技有限公司 Abnormal deviation data examination method, device, computer equipment and storage medium
CN110807455A (en) * 2019-09-19 2020-02-18 平安科技(深圳)有限公司 Bill detection method, device and equipment based on deep learning and storage medium
CN111476648A (en) * 2020-03-13 2020-07-31 云南建能科技有限公司 Financial voucher recording method
CN111768565B (en) * 2020-05-21 2022-03-18 程功勋 Method for identifying and post-processing invoice codes in value-added tax invoices
CN111950380A (en) * 2020-07-19 2020-11-17 中国建设银行股份有限公司 Bill auditing method and device, electronic equipment and computer-readable storage medium

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1804861A (en) * 2005-12-29 2006-07-19 北大方正集团有限公司 Document image geometry fault correction method
CN101064007A (en) * 2006-04-29 2007-10-31 北大方正集团有限公司 Digital correction method for geometric distortion of form image
CN104574419A (en) * 2015-01-28 2015-04-29 深圳市安健科技有限公司 Lens distortion parameter calibration method and system
CN106845508A (en) * 2015-12-07 2017-06-13 腾讯科技(深圳)有限公司 The methods, devices and systems of release in a kind of detection image
CN107194400A (en) * 2017-05-31 2017-09-22 北京天宇星空科技有限公司 A kind of finance reimbursement unanimous vote is according to picture recognition processing method
CN108537237A (en) * 2018-04-04 2018-09-14 深圳怡化电脑股份有限公司 Characteristic area extracting method, device, equipment and the storage medium of bill
CN109145915A (en) * 2018-07-27 2019-01-04 武汉科技大学 License plate rapid distortion antidote under a kind of complex scene

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Automatic blur detection in mobile captured document images: Towards quality check in mobile based document imaging applications;Ganesh Nunnagoppula;《 2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013)》;全文 *

Also Published As

Publication number Publication date
CN114118949A (en) 2022-03-01

Similar Documents

Publication Publication Date Title
CN109887153B (en) Finance and tax processing method and system
US20070064991A1 (en) System and method for detecting cheque fraud
EP2937818A1 (en) Information code, information code generation method, information code reader device, and information code usage system
CN105511791A (en) Handwriting processing method and device for electronic test and quality control record chart
US8485425B2 (en) Inline mail validation
CN103019636A (en) Voucher design printing method and system
CN109165852A (en) A kind of operation field verification method and system based on RFID identification technology
US8098884B2 (en) Verification system and method in a document processing environment
CN109271951A (en) A kind of method and system promoting book keeping operation review efficiency
CN101364529A (en) Method for automatically downloading sequence number of integrated circuit
CN101964710A (en) Digital signature and signature authenticating method
CN114118949B (en) Information processing system and method for bill
CN110991150B (en) Data format conversion method, device and account reporting system
CN111768565B (en) Method for identifying and post-processing invoice codes in value-added tax invoices
Higgins et al. Working With Image Cash Letters (ISLs) X9. 37, 180 or 187 files
CN103514670B (en) Tax control inventory Antiforge system and method
CN111462388A (en) Bill inspection method and device, terminal equipment and storage medium
CN115829307A (en) Automatic production method and device of smart card and readable storage medium
CN113435986A (en) Financial data management method
CN113963368A (en) Business data entry method and device, electronic equipment and storage medium
CN112434997A (en) Date generation device, control method, and non-transitory computer-readable medium
CN111223230A (en) Invoice file authenticity identification method based on CRNN algorithm
CN109741166A (en) Invoice validation system and verification method
US9213970B1 (en) Processing of co-mingled paper correspondence
CN115640952B (en) Method and system for importing and uploading data

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant