WO2018233356A1 - Procédé, système, dispositif et support de stockage lisible pour balayer un document - Google Patents

Procédé, système, dispositif et support de stockage lisible pour balayer un document Download PDF

Info

Publication number
WO2018233356A1
WO2018233356A1 PCT/CN2018/082913 CN2018082913W WO2018233356A1 WO 2018233356 A1 WO2018233356 A1 WO 2018233356A1 CN 2018082913 W CN2018082913 W CN 2018082913W WO 2018233356 A1 WO2018233356 A1 WO 2018233356A1
Authority
WO
WIPO (PCT)
Prior art keywords
file
barcode
image
category
index
Prior art date
Application number
PCT/CN2018/082913
Other languages
English (en)
Chinese (zh)
Inventor
戴建云
周鹏
Original Assignee
平安科技（深圳）有限公司
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 平安科技（深圳）有限公司 filed Critical 平安科技（深圳）有限公司
Publication of WO2018233356A1 publication Critical patent/WO2018233356A1/fr

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G06K7/1404—Methods for optical code recognition
    • G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G06K7/1404—Methods for optical code recognition
    • G06K7/1439—Methods for optical code recognition including a method step for retrieval of the optical code
    • G06K7/1447—Methods for optical code recognition including a method step for retrieval of the optical code extracting optical codes from image or text carrying said optical code
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/00127—Connection or combination of a still picture apparatus with another apparatus, e.g. for storage, processing or transmission of still picture signals or of information associated with a still picture
    • H04N1/00326—Connection or combination of a still picture apparatus with another apparatus, e.g. for storage, processing or transmission of still picture signals or of information associated with a still picture with a data reading, recognizing or recording apparatus, e.g. with a bar-code apparatus
    • H04N1/00328—Connection or combination of a still picture apparatus with another apparatus, e.g. for storage, processing or transmission of still picture signals or of information associated with a still picture with a data reading, recognizing or recording apparatus, e.g. with a bar-code apparatus with an apparatus processing optically-read information
    • H04N1/00334—Connection or combination of a still picture apparatus with another apparatus, e.g. for storage, processing or transmission of still picture signals or of information associated with a still picture with a data reading, recognizing or recording apparatus, e.g. with a bar-code apparatus with an apparatus processing optically-read information with an apparatus processing barcodes or the like
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/04—Scanning arrangements, i.e. arrangements for the displacement of active reading or reproducing elements relative to the original or reproducing medium, or vice versa
    • H04N1/0402—Scanning different formats; Scanning with different densities of dots per unit length, e.g. different numbers of dots per inch (dpi); Conversion of scanning standards
    • H04N1/042—Details of the method used

Definitions

  • the present application relates to the field of insurance, and in particular, to a file scanning method, system, device and computer readable storage medium.
  • the main purpose of the present application is to provide a file scanning method, apparatus and computer readable storage medium, aiming at solving the technical problem of low efficiency in batch file scanning work.
  • the present application provides a file scanning method, and the file scanning method includes the following steps:
  • the batch file is sequentially scanned according to the file stacking order to obtain the file image
  • the present application further provides a file scanning system, where the file scanning system includes:
  • a scanning module configured to sequentially scan a batch file according to a file stacking sequence to obtain a file image when receiving a batch scan instruction
  • a classification module configured to search an index barcode and a category barcode in the file image, and determine a file image corresponding to the category barcode according to a scan order;
  • the barcode module is configured to configure an image barcode for the file image corresponding to the category barcode according to the index barcode and the category barcode.
  • the present application further provides a file scanning apparatus, including: a memory, a processor, and a file scanning program stored on the memory and operable on the processor, The step of implementing the file scanning method of any of the above, when the file scanning program is executed by the processor.
  • the present application further provides a computer readable storage medium having a file scanning program stored thereon, the file scanning program being executed by a processor to implement any of the above The steps of the file scanning method.
  • This application completes the one-time entry of batch file images by batch scanning.
  • the index bar code in the file image is captured to obtain the index information of the batch file;
  • the category bar code in the file image is captured, and the category bar code is determined.
  • Corresponding file images which automatically classify the files corresponding to this scan.
  • the image barcode is configured for the file image corresponding to each category barcode, and the image barcode can distinguish and identify the file images of different categories, so that the index information and the category of the file image can be quickly read, and the user does not need to check each file image one by one.
  • the application reduces the workload of batch file scanning and image classification, and reduces the repeated scanning and classification errors caused by manual errors, and improves the scanning efficiency of batch files.
  • FIG. 1 is a schematic structural diagram of an apparatus for a hardware operating environment according to an embodiment of the present application
  • FIG. 2 is a schematic flow chart of a first embodiment of a scanning method of the present application
  • FIG. 3 is a schematic flowchart of a second embodiment of a scanning method of the present application.
  • FIG. 4 is a schematic flow chart of a third embodiment of a scanning method of the present application.
  • FIG. 5 is a schematic flowchart of a fourth embodiment of a scanning method of the present application.
  • FIG. 6 is a schematic flowchart diagram of a fifth embodiment of a scanning method of the present application.
  • FIG. 7 is a schematic flowchart diagram of a sixth embodiment of a method for scanning a file according to the present application.
  • FIG. 8 is a schematic flowchart diagram of a seventh embodiment of a scanning method of the present application.
  • FIG. 9 is a schematic diagram of a file scanning scenario in the embodiment of the present application.
  • FIG. 10 is a schematic diagram of a file scanning scenario in the embodiment of the present application.
  • FIG. 11 is a schematic diagram of a text recognition area of a document image according to an embodiment of the present application.
  • FIG. 1 is a schematic structural diagram of a device in a hardware operating environment according to an embodiment of the present application.
  • the file scanning device of the embodiment of the present application may be a PC configured with a scanner, or may be a device such as a smart phone or a portable computer configured with a scanning function.
  • the apparatus may include a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a memory 1004, and a scanner 1005.
  • the communication bus 1002 is used to implement connection communication between these components.
  • the user interface 1003 can include a display, an input unit such as a keyboard, and the optional user interface 1003 can also include a standard wired interface, a wireless interface.
  • the memory 1004 may be a high speed RAM memory or a stable memory (non-volatile) Memory), such as disk storage.
  • the memory 1004 can also optionally be a storage device independent of the aforementioned processor 1001.
  • the scanner 1005 is configured to scan a batch data file to obtain image data. It will be understood by those skilled in the art that the device structure illustrated in FIG. 1 does not constitute a limitation to the device, and may include more or less components than those illustrated, or some components may be combined, or different component arrangements.
  • an operating system, a user interface module, and a file scanning program may be included in the memory 1004 as a computer storage medium. In the terminal shown in FIG.
  • the user interface 1003 is mainly used to connect to the client and perform data communication with the client; and the processor 1001 can be used to call a file scanning program stored on the memory 1004 to control the scanner 1005 to perform batch file processing. Scanning and performing the file scanning method of any of the embodiments of the present invention.
  • the specific embodiment of the scanning device of the present application is substantially the same as the embodiments of the following document scanning method, and details are not described herein.
  • the first embodiment of the automatic intelligent classification image of the present application provides a file scanning method, where the file scanning method includes:
  • Step S10 When receiving the batch scan instruction, sequentially scan the batch file according to the file stacking order to obtain the file image.
  • the user When there are a large number of paper documents to be scanned, the user will sort the documents to be scanned and put them into the scanner. Then, the user can input a batch scan instruction through a terminal such as a client. After the file scanning device receives the batch scanning instruction, the scanner is controlled to be started, and the batch files are sequentially scanned according to the stacking order of the files to obtain images of the respective files.
  • the file scanning device can be deployed in the scanner or deployed in the server, and can be flexibly configured according to actual needs.
  • Step S20 Find an index barcode and a category barcode in the file image, and determine a file image corresponding to the category barcode according to the scan order.
  • the file scanning device After obtaining the image of the batch file, the file scanning device searches the file image for the index bar code and the category bar code of the batch file.
  • the index barcode and the category barcode may be barcodes such as a two-dimensional code.
  • the index barcode includes bar code categories and index information.
  • the bar code category identifies the category of the bar code; the index information includes case information corresponding to the batch file, such as the service serial number, the service category, the insured identity, and the like, wherein the service category includes claims, life insurance, auto insurance, and the like.
  • the index barcode may also include only the link of the barcode category and the index information, and the file scanning device may acquire the index information according to the link of the index information.
  • the bar code category and image category are included in the category bar code.
  • Image categories include ID cards, accident certificates, registration fee documents, surgical documents, medical documents, invoices, and more.
  • the user may paste the index bar code and the category bar code on the page of the batch file for scanning and scanning by the scanner; of course, the user may also print the file with the index bar code and the category bar code.
  • the user pastes the index barcode on the first page of the file, so that the first image in the scanned image image contains the index barcode.
  • the user stacks the files of the same category together and pastes the barcode of this category on the front page of the category file.
  • the file scanning device detects whether there is a barcode in the scanned document image; if there is a barcode in the document image, the barcode is identified, and according to the barcode type or the index information and the image category in the barcode, whether the barcode is an index barcode or a category barcode . Thereby, the search of the index barcode and the category barcode is realized.
  • the file scanning device uses the image in which the category barcode is located according to the scanning order of the batch file, and the image in the scanning order after the image in which the category barcode is located and the image in which the next category barcode is located.
  • the file image corresponding to this category barcode is scanned, including the image in which the bar code of this category is located, and all the file images in the scanning order after the image in which the bar code of the category is located. Thereby, a file image corresponding to each category barcode is obtained.
  • Step S30 Configure an image barcode for the file image corresponding to the category barcode according to the index barcode and the category barcode.
  • the image barcode is configured on the file image to facilitate identification of each file image.
  • the file scanning device configures the image barcode for the file image corresponding to each category barcode according to the index barcode and each category barcode. Specifically, the file scanning device acquires the index information of the index barcode, and the image category in the category barcode, and configures the corresponding image barcode.
  • the image barcode contains index information and image categories. Therefore, information such as service serial number, service category, user identity, and image category can be obtained through the image barcode. Then, the document scanning device stores the image barcode as the image barcode of the document image corresponding to the barcode of the category.
  • the file scanning device configures corresponding image barcodes for the file images corresponding to the barcodes of the respective categories. Then, the file scanning device stores the file images and their corresponding image barcodes correspondingly, or adds the image barcodes to the corresponding file images, so as to quickly extract relevant information of the file images.
  • a total of 10 batch files are scanned this time, corresponding to 10 file images.
  • the index file and the first category barcode are attached to the first file
  • the second category barcode is attached to the fifth file.
  • the file scanning device determines, according to the scanning order, that the first to fourth document images are file images corresponding to the first category bar code, and the fifth to tenth file images are file images corresponding to the second category bar code.
  • the file scanning device obtains the first image barcode according to the index barcode and the first category barcode, and the first image barcode is the image barcode of the first to fourth document images; the file scanning device is based on the index barcode and the second category barcode
  • the second image barcode is obtained by the configuration, and the second image barcode is the image barcode of the fifth to tenth document images. Thereby, the image barcode of each document image is obtained.
  • the one-time input of the batch file image is completed by batch scanning.
  • the index barcode in the file image is captured to obtain the index information of the batch file;
  • the category barcode in the file image is captured, and the category is determined.
  • the file image corresponding to the barcode is used to automatically classify the files corresponding to this scan.
  • the image barcode is configured for the file image corresponding to each category barcode, and the image barcode can distinguish and identify the file images of different categories, so that the index information and the category of the file image can be quickly read, and the user does not need to check each file image one by one.
  • the manual classification is performed. Therefore, the workload of the batch file scanning and the image classification link is reduced, and the repeated image scanning and classification errors caused by the manual error are reduced, and the scanning efficiency of the batch file is improved.
  • a second embodiment of the present document scanning method provides a file scanning method.
  • the file image includes a plurality of index barcodes according to the first embodiment of the present document scanning method. include:
  • Step S21 Determine, according to a scanning sequence, a file image corresponding to each index barcode
  • Step S22 Searching for a category barcode in the file image corresponding to each index barcode to obtain a category barcode of the index barcode.
  • Step S23 determining, according to the scanning sequence and the file image corresponding to each index bar code, a file image corresponding to the category bar code subordinate to each index bar code;
  • step S30 includes:
  • Step S31 Configure an image barcode for the file image corresponding to the category barcode of each index barcode according to the index bar code and the category barcode of the subordinate.
  • users can scan the data of multiple cases together, such as the information of claims cases and the data of underwriting cases.
  • the index bar code and the category bar code are attached.
  • the user will have an index barcode attached to the top page of each file, so that the first image in the scanned image image contains the index barcode.
  • the user stacks the files of the same category in the same case, and pastes the barcode of this category on the front page of the category file.
  • the file scanning device controls the scanner to sequentially scan the batch file according to the file stacking order to obtain the file image.
  • the file scanning device looks up the index bar code in the file image. If multiple index barcodes are found in the document image, the file scanning device determines that there are multiple cases of data in the batch file. Then, the file scanning device divides the file image according to the scanning order, and determines the file image corresponding to each index barcode.
  • the file scanning device uses the image in which the index bar code is located and the image in the scanning order after the image in which the index bar code is located and the image in which the next index bar code is located, as the file image corresponding to the index bar code.
  • the file image corresponding to the last index bar code in the scan order includes the image in which the index bar code is located, and all file images in the scan order after the image in which the index bar code is located. Thereby, a file image corresponding to each index barcode is obtained.
  • the file scanning device searches for the category barcode in the file image corresponding to each index barcode.
  • the file scanning device correspondingly identifies the category bar code found in the file image corresponding to each index bar code as the category bar code subordinate to each index bar code.
  • the file scanning device determines the file image corresponding to the subordinate category bar code according to the scanning order of the file image in the file image corresponding to each index bar code. Specifically, the file scanning device uses the image in which the category bar code is located and the image in the scanning order after the image in which the category bar code is located and the image in which the next category bar code is located, as the file image corresponding to the bar code of the category. The file image corresponding to the bar code in the last category is scanned, including the image in which the bar code of this category is located, and all the file images in the scanning order after the image in which the bar code of the category is located. Thereby, a file image corresponding to each category barcode is obtained. After obtaining the file image corresponding to the category bar code of each index bar code, the file scanning device configures the image bar code for the file image corresponding to the category bar code of each index bar code according to each index bar code and its subordinate category bar code.
  • a total of 10 batch files are scanned this time, corresponding to 10 file images.
  • the first file is affixed with an index bar code and a first category bar code
  • the third file is affixed with a second category bar code
  • the fifth file is affixed with a second category bar code and a third category bar code.
  • the file scanning device determines, according to the scanning order, that the first to fourth file images are file images corresponding to the first index bar code
  • the fifth to tenth file images are file images corresponding to the second index bar code.
  • the file scanning device searches for the category bar code of the first index bar code in the first to fourth file images, finds the first category bar code and the second category bar code, and determines that the file image corresponding to the first category bar code is the first
  • the file image corresponding to the second file type is the third to fourth file image.
  • the file scanning device searches for the category bar code of the second index bar code in the fifth to tenth file images to find the third category bar code; and determines that the file image corresponding to the third category bar code is the fifth to tenth file image. .
  • the file scanning device obtains the first image barcode according to the first index barcode and the first category barcode, and the first image barcode is the image barcode of the first to second document images; according to the first index barcode and the second category
  • the bar code configuration obtains the second image bar code, and the second image bar code is the image bar code of the third to fourth file images; the file scanning device is configured to obtain the third image bar code according to the second index bar code and the third category bar code, and the third image is obtained.
  • the barcode is the image barcode of the fifth to tenth document image. Thereby, the image barcode of each document image is obtained.
  • the data files of different cases are simultaneously scanned, and the file images of different cases are automatically separated by the index bar code, and the file images of each case are automatically classified according to the category bar codes of each index bar code, and then correspondingly
  • the image barcode is configured for the document image, which greatly reduces the scanning workload, and ensures the correctness of the batch file image classification and improves the file scanning efficiency.
  • a third embodiment of the present document scanning method provides a file scanning method, based on the first embodiment or the second embodiment of the above-mentioned scanning method of the present application (this embodiment uses the scanning method of the present application)
  • An embodiment is an example. After the step S30, the method further includes:
  • Step S41 Identify a video barcode of the file image to obtain a service category of the file image, and determine a service database corresponding to the file image according to the service category;
  • Step S42 Upload the file image to a corresponding service database.
  • the file scanning device After obtaining the document image and the image barcode, the file scanning device reads the image barcode of each file image for identification, and obtains the service category of each file image. Then, the file scanning device acquires a service database corresponding to each image file according to the service category of each file image. For example, if the service type of the file image is life insurance, the file scanning device determines that the service database corresponding to the file image is a life insurance database; if the service type of the file image is a claim, the file scanning device determines that the service database corresponding to the file image is the claim database. After obtaining the service database corresponding to each file image, the file scanning device uploads each file image to its corresponding service database for use.
  • the embodiment automatically determines the service database according to the image barcode of the image file, the error of the manual recognition is reduced, the upload speed is accelerated, and the user experience is improved.
  • a fourth embodiment of the present document scanning method provides a file scanning method, which is based on the first embodiment, the second embodiment, or the third embodiment of the present document scanning method.
  • the first embodiment of the application document scanning method is an example. After the step S30, the method further includes:
  • Step S51 Identify a video barcode of the file image to obtain a service category and a video category of the file image, and determine a service node corresponding to the file image according to the service category and the image category of the file image;
  • Step S52 Send a push message to the service node to notify that the file image has been entered.
  • the file scanning device After obtaining the document image and the image barcode, the file scanning device respectively reads the image barcode of each file image to identify the service category and image category of the document image. Then, the file scanning device determines the business system corresponding to each file image according to the service type of each file image. Specifically, the file scanning device determines the service node corresponding to each file image according to each file image category and the data requirement preset by each service node in the corresponding service system. For example, if the service category of the document image is a claim, and the image category is an accident certificate, the corresponding business system is a claim system, and the corresponding service node is a survey node in the claims system for the investigator to investigate the accident use. It should be noted that one file image can correspond to multiple service nodes.
  • the file scanning device After the service node corresponding to the file image is obtained, the file scanning device sends a push message to the service node corresponding to the file image, and notifies the service node that the corresponding file image has been entered, and can be used.
  • the business node can call its required file image into the database.
  • the image barcode of the file image is obtained to obtain the service category and the image category of the file image, and the service node corresponding to the file image is determined according to the service category and the image category of the file image; the push message is sent to the service node, and the file image is notified Enter for the business node to process the business in time.
  • a fifth embodiment of the present document scanning method provides a file scanning method, which is based on the first to fourth embodiments of the above-described scanning method of the present application.
  • the method further includes:
  • Step S61 Identify the image barcode to obtain an image category of the file image, and determine, according to the image category, whether the file image needs to be recognized by the text;
  • Step S62 If the file image needs to be recognized by text, text recognition is performed on the file image to obtain text information.
  • the file scanning device After obtaining the document image and its image barcode, the file scanning device detects whether text recognition of the document image is required. Specifically, as an implementation manner, the file scanning device identifies the image barcode of the document image to obtain an image category of the document image. Then, according to the preset text recognition requirement, it is judged whether the image of this category needs to be recognized by the text. If necessary, it is determined that the document image needs to be recognized by the text. Then, the file scanning device performs text recognition on the document image to extract text information in the text image. For example, a file scanning device can use OCR (Optical) Character Recognition, optical character recognition technology, recognizes the text information corresponding to the text image.
  • OCR Optical
  • the document scanning device detects each of the document images, and performs text recognition on the document image that needs to be recognized by the text to obtain corresponding text information. Then, the file scanning device can upload the text information of the file image to its corresponding business database for the service node to call. Further, the text information can be automatically uploaded to the business system or the service node corresponding to the file image, thereby saving the workload of manual calling.
  • text recognition is performed on the file image, so that the service node can quickly invoke the text information in the file without manual entry, which greatly improves the service processing efficiency.
  • the sixth embodiment of the present document scanning method provides a file scanning method. Based on the fifth embodiment of the file scanning method, the step S62 includes:
  • Step S621 If the file image needs to perform text recognition, determine an area in which the file image needs to be recognized according to the image type;
  • Step S622 performing text recognition on the image in the area to obtain text information.
  • the document scanning device needs to determine the area where the image needs to be recognized by the text, and only recognize the area where the text recognition is required. Specifically, as an implementation manner, the file scanning device acquires the location of the region in which the image needs to be recognized according to the preset text recognition requirement, and finds the corresponding region in the current text image, thereby eliminating the interference region and The area that does not contain the currently required information. Then, the file scanning device performs text recognition on the image in the area in the text image to obtain text information.
  • the image category is the file image of the invoice. If the text recognition requirement is the invoice amount, the position where the image of this category needs to be recognized by the text is the invoice amount area position. Therefore, the position of the invoice amount area where text recognition is required can be set in advance based on the invoice face.
  • the location of the invoice amount area is first determined according to the image category; then, the invoice amount area is text-recognized, and the obtained text information includes the invoice amount.
  • text recognition is only performed on a part of the image, which reduces the workload of text recognition and removes redundant information, thereby ensuring that key information in the image can be recognized and used.
  • a seventh embodiment of the present document scanning method provides a file scanning method, which is based on the fifth embodiment or the sixth embodiment of the file scanning method (the fifth embodiment of the scanning method of the present application)
  • the method further includes:
  • Step S63 Identify the image barcode to obtain the identity of the insured, and query the credit information and the insurance business record of the insured according to the insured identity;
  • Step S64 Analyze the insured person's business risk and configure the risk analysis result according to the text information, the insured person's credit information, and the insurance business record.
  • the file scanning device may further perform risk analysis and early warning on the case according to the obtained text information. Specifically, as an implementation manner, the file scanning device identifies the image barcode of the document image, and obtains the identity of the insured, such as the name of the insured, the ID number, the customer number, and the like. Then, the file scanning device root is insured, and the insured person's credit information and insurance business records are searched in the database.
  • the insured's credit information includes credit overdue risk, administrative negative risk, fraud risk untrustworthy executor (court ruling refused to execute), enforced person (the existence of court judgment needs to be implemented), serious traffic violation (detention, revoke) Licensing, etc.), the mobile phone number is at risk of fraud, the card number is at risk of fraud, the ID number is fraudulent, there is a risk of fraud, and so on.
  • the insured's insurance business records include records of insurance business such as insurance and claims.
  • the insurance record includes information such as the type of insurance and insurance amount of the insured's policy; the claim record includes information such as the time of the insured's visit, hospital, medicine, and amount.
  • the document scanning device analyzes the insured's business risk based on the text information of the document image, the insured's credit information, and the insurance business record.
  • the file scanning device can combine the text information of the file image corresponding to the same index barcode to perform comprehensive analysis.
  • the service category of the current batch file is used as a claim.
  • the text information of the document image includes the policy of the claim, the hospital, the time, the medicine, the amount, and the like.
  • the document scanning device extracts the risk item in the insured person's credit information, and assigns it to the risk analysis result as the insured's business risk.
  • the document scanning device performs a check and aggravation on the hospital and the time for applying for the claim, and determines whether the claim has been applied for; and calculates the claimant's claim frequency to determine whether the claim frequency exceeds
  • the preset threshold is too frequent and there is the possibility of fraudulent insurance; the type of the insured person's disease is detected to determine whether it is within the scope of the policy's claims agreement, and whether the disease type is insured according to the gender and age of the insured person. In the case of common diseases, etc.; the hospital inspected by the insured person is tested to determine whether the hospital where the insured person is visiting is within the scope of the claims agreement of the policy, whether it is a designated hospital or the like.
  • the file scanning device configures the detection result of each piece of information as the risk risk of the insured person into the risk analysis result. Thereby, the risk analysis result is obtained. Further, after obtaining the risk analysis result, the file scanning device may upload the risk analysis result to the service database corresponding to the file image, or push the risk analysis result to the service node corresponding to the file image to prompt the auditor to risk the case.
  • the risk analysis of the file can be initially performed, and the obtained risk analysis result provides a risk prompt for the subsequent business review, thereby reducing the business risk.
  • the embodiment of the present application further provides a file scanning system, where the file scanning system includes:
  • a scanning module configured to sequentially scan a batch file according to a file stacking sequence to obtain a file image when receiving a batch scan instruction
  • a classification module configured to search an index barcode and a category barcode in the file image, and determine a file image corresponding to the category barcode according to a scan order;
  • the barcode module is configured to configure an image barcode for the file image corresponding to the category barcode according to the index barcode and the category barcode.
  • the file image includes a plurality of index barcodes
  • the classification module is further configured to: determine, according to a scan order, a file image corresponding to each index barcode; respectively, in the file image corresponding to each index barcode Searching the category bar code to obtain the category bar code of the index bar code; and determining, according to the scan order and the file image corresponding to each index bar code, the file image corresponding to the category bar code subordinate to each index bar code;
  • the barcode module is further configured to configure an image barcode for the file image corresponding to the category barcode of each index barcode according to the index bar code and the category barcode of the subordinate.
  • the file scanning system further includes: an uploading module, configured to identify an image barcode of the file image to obtain a service category of the file image, and determine a service database corresponding to the file image according to the service category; The file image is uploaded to a corresponding service database.
  • an uploading module configured to identify an image barcode of the file image to obtain a service category of the file image, and determine a service database corresponding to the file image according to the service category; The file image is uploaded to a corresponding service database.
  • the file scanning system further includes: a notification module, configured to identify an image barcode of the file image to obtain a service category and an image category of the file image, and determine, according to the service category and the image category of the file image. a service node corresponding to the file image; sending a push message to the service node, notifying that the file image has been entered.
  • a notification module configured to identify an image barcode of the file image to obtain a service category and an image category of the file image, and determine, according to the service category and the image category of the file image.
  • the file scanning system further includes: an identification module, configured to identify the image barcode to obtain an image category of the file image, and determine, according to the image category, whether the file image needs to be recognized by a text; If the document image needs to be recognized by text, text recognition is performed on the document image to obtain text information.
  • an identification module configured to identify the image barcode to obtain an image category of the file image, and determine, according to the image category, whether the file image needs to be recognized by a text; If the document image needs to be recognized by text, text recognition is performed on the document image to obtain text information.
  • the identifying module is further configured to: if the file image needs to perform text recognition, determine an area in which the file image needs to be recognized according to the image type; and perform text recognition on the image in the area , get text information.
  • the file scanning system further includes: a risk module, configured to identify the image barcode to obtain an insured identity, and query the insured person's credit information and insurance business records according to the insured identity; And analyzing the business risk of the insured person and configuring the risk analysis result according to the text information, the credit information of the insured, and the insurance business record.
  • a risk module configured to identify the image barcode to obtain an insured identity, and query the insured person's credit information and insurance business records according to the insured identity; And analyzing the business risk of the insured person and configuring the risk analysis result according to the text information, the credit information of the insured, and the insurance business record.
  • the embodiment of the present application further provides a computer readable storage medium, where the file readable program is stored on the computer readable storage medium, and the file scanning program is executed by the processor to implement any embodiment of the present invention.
  • File scanning method The specific embodiment of the computer readable storage medium of the present application is substantially the same as the embodiment of the above file scanning method, and details are not described herein.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Electromagnetism (AREA)
  • Multimedia (AREA)
  • Toxicology (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Processing Or Creating Images (AREA)

Abstract

L'invention concerne un procédé permettant de balayer un document. Le procédé consiste à : lorsqu'une instruction de balayage de lot est reçue, balayer séquentiellement un lot de documents selon un ordre d'empilement de documents afin d'obtenir des images de document ; rechercher un code-barres d'index et un code-barres de catégorie dans les images du document, puis déterminer, selon un ordre de balayage, une image de document correspondant au code-barres de catégorie ; et, selon le code-barres d'index et le code-barres de catégorie, ajouter un code-barres d'image à l'image de document correspondant au code-barres de catégorie. L'invention concerne également un système, un dispositif et un support de stockage lisible par ordinateur permettant de balayer un document. L'invention balaie et ajoute des codes-barres à des lots de documents, ce qui permet d'améliorer l'efficacité de balayage des lots de documents.
PCT/CN2018/082913 2017-06-21 2018-04-13 Procédé, système, dispositif et support de stockage lisible pour balayer un document WO2018233356A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710479074.1 2017-06-21
CN201710479074.1A CN108334797B (zh) 2017-06-21 2017-06-21 文件扫描方法、装置和计算机可读存储介质

Publications (1)

Publication Number Publication Date
WO2018233356A1 true WO2018233356A1 (fr) 2018-12-27

Family

ID=62922050

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2018/082913 WO2018233356A1 (fr) 2017-06-21 2018-04-13 Procédé, système, dispositif et support de stockage lisible pour balayer un document

Country Status (2)

Country Link
CN (1) CN108334797B (fr)
WO (1) WO2018233356A1 (fr)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110148247B (zh) * 2019-04-18 2021-08-03 济南企财通软件有限公司 票据自动归档方法及实现该方法的装置
CN110933071B (zh) * 2019-11-27 2022-01-28 中国银行股份有限公司 影像文件传输方法及装置
CN110942054B (zh) * 2019-12-30 2023-06-30 福建天晴数码有限公司 页面内容识别方法
CN111680693A (zh) * 2020-05-28 2020-09-18 泰康保险集团股份有限公司 理赔业务批量处理方法及装置
CN113157639A (zh) * 2020-12-30 2021-07-23 深圳云墨信息技术有限公司 一种用条码实现影像文件自动分类及自动编目录的方法
CN112861561B (zh) * 2021-03-09 2022-11-11 上海交通大学 一种基于屏幕调光特征的二维码安全增强方法及装置

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080291502A1 (en) * 2007-05-23 2008-11-27 Hirofumi Horikawa Document processing device and document processing method
CN104636700A (zh) * 2013-11-15 2015-05-20 株式会社理光 文档图像管理装置以及文档图像管理系统
CN105335395A (zh) * 2014-07-14 2016-02-17 株式会社理光 文档图像管理装置以及文档图像管理系统
CN106326348A (zh) * 2016-08-08 2017-01-11 成都四威高科技产业园有限公司 一种纸质质量档案的电子化扫描处理系统及方法
CN106529597A (zh) * 2016-11-11 2017-03-22 理光图像技术（上海）有限公司 扫描图像文件生成装置

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6192165B1 (en) * 1997-12-30 2001-02-20 Imagetag, Inc. Apparatus and method for digital filing
JP4738943B2 (ja) * 2005-09-01 2011-08-03 キヤノン株式会社 画像処理装置およびその方法
JP5328456B2 (ja) * 2008-09-09 2013-10-30 キヤノン株式会社 画像処理装置、画像処理方法、プログラムおよび記憶媒体
CN102254381B (zh) * 2011-01-27 2013-08-07 北京中科金财科技股份有限公司 票据影像信息处理的方法、系统及自动柜员机
CN103095782A (zh) * 2011-11-08 2013-05-08 智仁科技开发股份有限公司 具有识别机制的云处理方法及其系统
CN103425685A (zh) * 2012-05-18 2013-12-04 京华时报社 访问纸媒体的方法及设备
CN102936987B (zh) * 2012-09-13 2015-08-26 北京立思辰计算机技术有限公司 一种智能批量文件回收装置与方法
TW201714124A (zh) * 2015-10-14 2017-04-16 台中銀租賃事業股份有限公司 文件管理系統及其方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080291502A1 (en) * 2007-05-23 2008-11-27 Hirofumi Horikawa Document processing device and document processing method
CN104636700A (zh) * 2013-11-15 2015-05-20 株式会社理光 文档图像管理装置以及文档图像管理系统
CN105335395A (zh) * 2014-07-14 2016-02-17 株式会社理光 文档图像管理装置以及文档图像管理系统
CN106326348A (zh) * 2016-08-08 2017-01-11 成都四威高科技产业园有限公司 一种纸质质量档案的电子化扫描处理系统及方法
CN106529597A (zh) * 2016-11-11 2017-03-22 理光图像技术（上海）有限公司 扫描图像文件生成装置

Also Published As

Publication number Publication date
CN108334797B (zh) 2021-04-23
CN108334797A (zh) 2018-07-27

Similar Documents

Publication Publication Date Title
WO2018233356A1 (fr) Procédé, système, dispositif et support de stockage lisible pour balayer un document
WO2020119116A1 (fr) Procédé, appareil et dispositif de vérification d'assurance médicale basés sur l'analyse de données et support de stockage
Alonso-Fernandez et al. Quality measures in biometric systems
WO2019223058A1 (fr) Procédé, dispositif et appareil d'amélioration du taux de réponse du service clientèle intelligent, et support d'enregistrement
US10679089B2 (en) Systems and methods for optical character recognition
WO2019218444A1 (fr) Procédé, appareil et dispositif de génération de rapport d'essai, et support de stockage
WO2019090983A1 (fr) Procédé, appareil et système de règlement d'indemnisation basés sur une assurance médicale
WO2013155905A1 (fr) Procédé, dispositif et supports de stockage informatique pour la collecte d'informations relatives à des préférences d'utilisateur
WO2019144513A1 (fr) Procédé, dispositif et système de mise en œuvre de changement d'informations de mot de passe bancaire et support d'informations
WO2017213281A1 (fr) Procédé de désidentification de données volumineuses
CA3020995A1 (fr) Amelioration de la precision d'une reconnaissance optique de caracteres (ocr) grace a la combinaison de resultats obtenus sur des trames video
WO2019242090A1 (fr) Procédé, dispositif et appareil de réponse de service client intelligent, et support d'informations
WO2019144530A1 (fr) Procédé, dispositif, système et support de stockage destinés à la mise en œuvre d'un service de transfert et d'ouverture de compte de carte de crédit
US10354134B1 (en) Feature classification with spatial analysis
US20150178581A1 (en) Biometric authentication device and reference data verification method
WO2017039287A1 (fr) Système et procédé d'authentification de signature manuelle sur la base de segments
US9947105B2 (en) Information processing apparatus, recording medium, and information processing method
WO2020000621A1 (fr) Procédé et appareil de commande de climatiseur, dispositif de climatisation et support d'informations
WO2020087704A1 (fr) Procédé, appareil et dispositif de gestion d'informations de crédit et support d'enregistrement
JP6435934B2 (ja) 文書画像処理用のプログラムおよびこのプログラムを用いた画像処理装置ならびに文字認識装置
WO2015130129A1 (fr) Système de gestion de bibliothèque
WO2019056750A1 (fr) Procédé d'identification de caractère unique d'informations, serveur d'application, système et support d'informations
WO2019090987A1 (fr) Procédé et dispositif d'analyse de performance d'application
KR102252286B1 (ko) 이미지형 문서의 변화 감지 및 인식 장치 및 방법
US10740638B1 (en) Data element profiles and overrides for dynamic optical character recognition based data extraction

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18820784

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 15/05/2020)

122 Ep: pct application non-entry in european phase

Ref document number: 18820784

Country of ref document: EP

Kind code of ref document: A1