WO2018233356A1 - 文件扫描方法、系统、装置和计算机可读存储介质 - Google Patents

文件扫描方法、系统、装置和计算机可读存储介质 Download PDF

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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
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WIPO (PCT)
Prior art keywords
file
barcode
image
category
index
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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.)
Ceased
Application number
PCT/CN2018/082913
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English (en)
French (fr)
Inventor
戴建云
周鹏
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Ping An Technology Shenzhen Co Ltd
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Ping An Technology Shenzhen Co Ltd
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Publication of WO2018233356A1 publication Critical patent/WO2018233356A1/zh
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Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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.

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Abstract

本申请公开了一种文件扫描方法，该方法包括：在收到批量扫描指令时，按照文件叠放顺序依次扫描批量文件得到文件影像；在所述文件影像中查找索引条码和类别条码，并根据扫描顺序确定所述类别条码对应的文件影像；根据所述索引条码和所述类别条码，为所述类别条码对应的文件影像配置影像条码。本申请还公开了一种文件扫描系统、装置以及一种计算机可读存储介质。本申请实现了批量文件的扫描和条码标记，提高了批量文件的扫描效率。

Description

文件扫描方法、系统、装置和计算机可读存储介质
本申请要求于2017年6月21日提交中国专利局、申请号为201710479074.1、发明名称为“文件扫描方法、装置和计算机可读存储介质”的中国专利申请的优先权，其全部内容通过引用结合在申请中。
技术领域
本申请涉及保险领域，尤其涉及一种文件扫描方法、系统、装置和计算机可读存储介质。
背景技术
目前，在保险理赔、核保等案件中，客户会提交大量的文件资料，由工作人员逐张扫描资料文件，对扫描得到的文件影像进行分类后才能上传到业务系统中，以供使用。但是，随着保险市场的扩大，案件量也在逐年爆增，导致工作人员在扫描环节上工作量十分巨大，且在文件影像的分类上容易出现错误，效率也很低，从而制约了整个案件作业流程，影响案件作业时效。因此，如何减少批量文件扫描的工作量成为了一个亟需解决的问题。
发明内容
本申请的主要目的在于提供一种文件扫描方法、装置和计算机可读存储介质，旨在解决在批量文件扫描工作的效率低的技术问题。
为实现上述目的，本申请提供一种文件扫描方法，所述文件扫描方法包括以下步骤：
在收到批量扫描指令时，按照文件叠放顺序依次扫描批量文件得到文件影像；
在所述文件影像中查找索引条码和类别条码，并根据扫描顺序确定所述类别条码对应的文件影像；
根据所述索引条码和所述类别条码，为所述类别条码对应的文件影像配置影像条码。
此外，为实现上述目的，本申请还提供一种文件扫描系统，所述文件扫描系统包括：
扫描模块，用于在收到批量扫描指令时，按照文件叠放顺序依次扫描批量文件得到文件影像；
分类模块，用于在所述文件影像中查找索引条码和类别条码，并根据扫描顺序确定所述类别条码对应的文件影像；
条码模块，用于根据所述索引条码和所述类别条码，为所述类别条码对应的文件影像配置影像条码。
此外，为实现上述目的，本申请还提供一种文件扫描装置，所述文件扫描装置包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的文件扫描程序，所述文件扫描程序被所述处理器执行时实现如上任一项所述的文件扫描方法的步骤。
此外，为实现上述目的，本申请还提供一种计算机可读存储介质，所述计算机可读存储介质上存储有文件扫描程序，所述文件扫描程序被处理器执行时实现如上任一项所述的文件扫描方法的步骤。
本申请通过批量扫描完成了批量文件影像的一次性录入，在得到文件影像后，抓取文件影像中的索引条码从而获取批量文件的索引信息；抓取文件影像中的类别条码，并确定类别条码对应的文件影像，从而自动将本次扫描的文件对应进行分类。然后，为各类别条码对应的文件影像配置影像条码，影像条码能够将不同类别的文件影像进行区分和标识，便于文件影像的索引信息和类别的快速读取，无需用户再逐张检查各文件影像进行人工分类，由此，本申请减少了批量文件扫描和影像分类环节的工作量，并且降低了人工失误造成的影像重复扫描、分类错误等情况，提高了批量文件的扫描效率。
附图说明
图1为本申请实施例方案涉及的硬件运行环境的装置结构示意图；
图2为本申请文件扫描方法第一实施例的流程示意图；
图3为本申请文件扫描方法第二实施例的流程示意图；
图4为本申请文件扫描方法第三实施例的流程示意图；
图5为本申请文件扫描方法第四实施例的流程示意图；
图6为本申请文件扫描方法第五实施例的流程示意图；
图7为本申请文件扫描方法第六实施例的流程示意图；
图8为本申请文件扫描方法第七实施例的流程示意图；
图9为本申请实施例中一种文件扫描场景示意图；
图10为本申请实施例中一种文件扫描场景示意图；
图11为本申请实施例中一种文件影像的文本识别区域示意图。
本申请目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
应当理解，此处所描述的具体实施例仅仅用以解释本申请，并不用于限定本申请。
如图1所示，图1是本申请实施例方案涉及的硬件运行环境的装置结构示意图。本申请实施例文件扫描装置可以是配置了扫描仪的PC，也可以是配置了扫描功能的智能手机、便携计算机等装置设备。如图1所示，该装置可以包括：处理器1001，例如CPU，通信总线1002，用户接口1003，存储器1004，扫描仪1005。其中，通信总线1002用于实现这些组件之间的连接通信。用户接口1003可以包括显示屏（Display）、输入单元比如键盘（Keyboard），可选的用户接口1003还可以包括标准的有线接口、无线接口。存储器1004可以是高速RAM存储器，也可以是稳定的存储器（non-volatile memory），例如磁盘存储器。存储器1004可选的还可以是独立于前述处理器1001的存储装置。扫描仪1005，用于扫描批量资料文件，获取影像数据。本领域技术人员可以理解，图1中示出的装置结构并不构成对装置的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。如图1所示，作为一种计算机存储介质的存储器1004中可以包括操作系统、用户接口模块以及文件扫描程序。在图1所示的终端中用户接口1003主要用于连接用户端，与用户端进行数据通信；而处理器1001可以用于调用存储器1004上存储的文件扫描程序，控制扫描仪1005进行批量文件的扫描，并执行本发明任一实施例所述的文件扫描方法。本申请文件扫描装置的具体实施例与下述文件扫描方法各实施例基本相同，在此不作赘述。
参照图2，本申请自动智能分类影像第一实施例提供一种文件扫描方法，所述文件扫描方法包括：
步骤S10、在收到批量扫描指令时，按照文件叠放顺序依次扫描批量文件得到文件影像。
当有大量的纸质文件需要扫描时，用户将需要扫描的文件整理后，放入扫描仪。然后，用户可以通过客户端等终端，输入批量扫描指令。当文件扫描装置收到批量扫描指令后，控制扫描仪启动，按照文件的叠放顺序依次扫描批量文件，得到各张文件的影像。其中，文件扫描装置可以部署在扫描仪中，也可以部署在服务器中，可以根据实际需要灵活配置。
步骤S20、在所述文件影像中查找索引条码和类别条码，并根据扫描顺序确定所述类别条码对应的文件影像。
在得到批量文件的影像后，文件扫描装置在文件影像中查找本批文件的索引条码和类别条码。需要说明的是，索引条码和类别条码可以是二维码等条码。其中，索引条码中包含有条码类别和索引信息。条码类别标识了本条码的类别；索引信息包含了批量文件对应的案件信息，例如业务流水号、业务类别、被保人身份等信息，其中业务类别包括理赔、人寿、车险等业务。当然，索引条码中也可以仅包括条码类别及索引信息的链接，文件扫描装置可以根据索引信息的链接获取索引信息。类别条码中包含有条码类别和影像类别。影像类别包括身份证、事故证明、挂号费单据、手术单据、医药单据、发票等等。
具体的，作为一种实施方式，用户可以将索引条码、类别条码贴在批量文件的页面上，供扫描仪扫描录入；当然，用户也可以将印有或贴有索引条码、类别条码的文件，放入批量文件中，供扫描仪扫描录入。通常，为了保障批量文件的全部文件影像都能被配置准确影像条码，用户将索引条码贴在文件首页，使的扫描得到的文件影像中第一张影像就包含有索引条码。进一步地，为了保障文件影像分类正确，用户将同一类别的文件叠放在一起，并将此类别的条码贴在此类别文件的首页。
文件扫描装置在扫描得到的文件影像中检测是否有条码；若文件影像中有条码，则识别此条码，根据条码中的条码类别或是索引信息、影像类别，判断条码是否为索引条码、类别条码。由此，实现了索引条码和类别条码的查找。
由于客户申请理赔时，可能一次提供多个类别的资料，例如身份证、发票、事故证明等等，为了标识不同类别的资料，批量文件中可能有多个类别条码，因此，需要确定各类别条码对应的文件影像。若文件扫描装置在本次扫描得到的文件影像中仅找到一个类别条码，则确定本次扫描得到的文件影像为此类别条码对应的文件影像。若文件扫描装置在本次扫描得到的文件影像中找到两个或以上的类别条码，则根据扫描顺序确定各类别条码对应的文件影像。具体的，作为一种实施方式，文件扫描装置根据批量文件的扫描顺序，将类别条码所在的影像，以及扫描顺序在此类别条码所在的影像之后、下一个类别条码所在的影像之前的影像，作为此类别条码对应的文件影像。扫描顺序在最后的类别条码对应的文件影像，包括此类别条码所在的影像，以及扫描顺序在此类别条码所在的影像之后的全部文件影像。由此，得到各类别条码对应的文件影像。
步骤S30、根据所述索引条码和所述类别条码，为所述类别条码对应的文件影像配置影像条码。
在得到索引条码、类别条码，以及类别条码对应的文件影像后，对文件影像配置影像条码，以便于标识各文件影像。作为一种实施方式，文件扫描装置根据索引条码和各类别条码，分别为各类别条码对应的文件影像配置影像条码。具体的，文件扫描装置获取索引条码的索引信息，和类别条码中的影像类别，配置对应的影像条码。影像条码中包含有索引信息和影像类别，由此，可以通过影像条码获取业务流水号、业务类别、用户身份等信息，以及影像类别。然后，文件扫描装置将影像条码作为此类别条码对应的文件影像的影像条码，进行存储。由此，文件扫描装置分别为各类别条码对应的文件影像配置对应的影像条码。然后，文件扫描装置将各文件影像及其对应的影像条码对应存储，或是将影像条码添加到对应的文件影像中，便于快速提取得到文件影像的相关信息。
例如，参照图9，本次扫描的批量文件共10张，对应10张文件影像。其中，根据扫描顺序，第一张文件上贴有索引条码和第一类别条码，第五张文件上贴有第二类别条码。则文件扫描装置根据扫描顺序，确定第一张至第四张文件影像为第一类别条码对应的文件影像，第五张至第十张文件影像为第二类别条码对应的文件影像。然后，文件扫描装置根据索引条码和第一类别条码配置得到第一影像条码，第一影像条码即为第一张至第四张文件影像的影像条码；文件扫描装置根据索引条码和第二类别条码配置得到第二影像条码，第二影像条码即为第五张至第十张文件影像的影像条码。由此，得到各文件影像的影像条码。
本实施例通过批量扫描完成了批量文件影像的一次性录入，在得到文件影像后，抓取文件影像中的索引条码从而获取批量文件的索引信息；抓取文件影像中的类别条码，并确定类别条码对应的文件影像，从而自动将本次扫描的文件对应进行分类。然后，为各类别条码对应的文件影像配置影像条码，影像条码能够将不同类别的文件影像进行区分和标识，便于文件影像的索引信息和类别的快速读取，无需用户再逐张检查各文件影像进行人工分类，由此，本实施例减少了批量文件扫描和影像分类环节的工作量，并且降低了人工失误造成的影像重复扫描、分类错误等情况，提高了批量文件的扫描效率。
进一步地，参照图3，本申请文件扫描方法第二实施例提供一种文件扫描方法，基于上述本申请文件扫描方法第一实施例，所述文件影像中包括多个索引条码，所述步骤S20包括：
步骤S21、根据扫描顺序，确定所述各索引条码对应的文件影像；
步骤S22、分别在所述各索引条码对应的文件影像中查找类别条码，得到所述各索引条码下属的类别条码；
步骤S23、根据扫描顺序及所述各索引条码对应的文件影像，分别确定所述各索引条码下属的类别条码所对应的文件影像；
对应的，所述步骤S30包括：
步骤S31、根据所述各索引条码及其下属的类别条码，分别为所述各索引条码下属的类别条码所对应的文件影像配置影像条码。
为了进一步提升文件的扫描效率，用户可以将多个案件的资料放在一起扫描，例如理赔案件的资料、核保案件的资料。作为一种实施方式，用户将多个案件的文件分别整理、叠放好后，贴上索引条码和类别条码。通常，为了保障批量文件的全部文件影像都能被配置准确影像条码，用户将有索引条码贴在各案件的文件首页，使的扫描得到的文件影像中第一张影像就包含有索引条码。进一步地，为了保障文件影像分类正确，用户将同一案件中同一类别的文件叠放在一起，并将此类别的条码贴在此类别文件的首页。然后，用户将各案件的文件叠放在一起，放入扫描仪，通过客户端输入批量扫描指令。文件扫描装置在收到批量扫描指令后，控制扫描仪按照文件叠放顺序依次扫描批量文件，得到文件影像。然后，文件扫描装置在文件影像中查找索引条码。若在文件影像中找到多个索引条码，则文件扫描装置确定本批文件中有多个案件的资料。然后，文件扫描装置根据扫描顺序，将文件影像进行划分，确定各索引条码对应的文件影像。具体的，文件扫描装置根据扫描顺序，将索引条码所在的影像，以及扫描顺序在此索引条码所在的影像之后、下一索引条码所在的影像之前的影像作为此索引条码对应的文件影像。扫描顺序在最后的索引条码对应的文件影像，包括此索引条码所在的影像，以及扫描顺序在此索引条码所在的影像之后的全部文件影像。由此，得到各索引条码对应的文件影像。然后，文件扫描装置分别在各索引条码对应的文件影像中查找类别条码。然后，文件扫描装置将在各索引条码对应的文件影像中找到的类别条码，对应作为各索引条码下属的类别条码。然后，文件扫描装置分别在各索引条码对应的文件影像中，根据文件影像的扫描顺序，确定其下属类别条码对应的文件影像。具体的，文件扫描装置根据扫描顺序，将类别条码所在的影像，以及扫描顺序在此类别条码所在的影像之后、下一类别条码所在的影像之前的影像作为此类别条码对应的文件影像。扫描顺序在最后的类别条码对应的文件影像，包括此类别条码所在的影像，以及扫描顺序在此类别条码所在的影像之后的全部文件影像。由此，得到各类别条码对应的文件影像。在得到各索引条码下属的类别条码所对应的文件影像后，文件扫描装置分别根据各索引条码及其下属的类别条码，为各索引条码下属的类别条码所对应的文件影像配置影像条码。
例如，参照图10，本次扫描的批量文件共10张，对应10张文件影像。其中，根据扫描顺序，第一张文件上贴有索引条码和第一类别条码，第三张文件上贴有第二类别条码，第五张文件上贴有第二类别条码和第三类别条码。则文件扫描装置根据扫描顺序，确定第一张至第四张文件影像为第一索引条码对应的文件影像，第五张至第十张文件影像为第二索引条码对应的文件影像。然后，文件扫描装置在第一张至第四张文件影像中查找第一索引条码下属的类别条码，找到第一类别条码和第二类别条码；并确定第一类别条码对应的文件影像为第一张至第二张文件影像，第二类别条码对应的文件影像为第三张至第四张文件影像。文件扫描装置在第五张至第十张文件影像中查找第二索引条码下属的类别条码，找到第三类别条码；并确定第三类别条码对应的文件影像为第五张至第十张文件影像。然后，文件扫描装置根据第一索引条码和第一类别条码配置得到第一影像条码，第一影像条码即为第一张至第二张文件影像的影像条码；根据第一索引条码和第二类别条码配置得到第二影像条码，第二影像条码即为第三张至第四张文件影像的影像条码；文件扫描装置根据第二索引条码和第三类别条码配置得到第三影像条码，第三影像条码即为第五张至第十张文件影像的影像条码。由此，得到各文件影像的影像条码。
本实施例实现了同时扫描不同案件的资料文件，并且通过索引条码自动将不同案件的文件影像区分开来，进而根据各索引条码下属的类别条码将各案件的文件影像进行自动分类，然后，对应的为文件影像配置影像条码，大大减少了扫描工作量，并且保障了批量文件影像分类的正确性，提高了文件扫描效率。
进一步地，参照图4，本申请文件扫描方法第三实施例提供一种文件扫描方法，基于上述本申请文件扫描方法第一实施例或第二实施例（本实施例以本申请文件扫描方法第一实施例为例），所述步骤S30之后，还包括：
步骤S41、识别所述文件影像的影像条码得到所述文件影像的业务类别，根据所述业务类别确定所述文件影像对应的业务数据库；
步骤S42、将所述文件影像上传至对应的业务数据库。
在得到文件影像及影像条码后，文件扫描装置读取各文件影像的影像条码进行识别，得到各文件影像的业务类别。然后，文件扫描装置分别根据各文件影像的业务类别，获取各影像文件对应的业务数据库。例如，若文件影像的业务类别为寿险，则文件扫描装置确定文件影像对应的业务数据库为寿险数据库；若文件影像的业务类别为理赔，则文件扫描装置确定文件影像对应的业务数据库为理赔数据库。在得到各文件影像对应的业务数据库后，文件扫描装置分别将各文件影像上传到其对应的业务数据库，以供使用。
由于本实施例是根据影像文件的影像条码自动确定业务数据库的，减少了人工识别的错误，加快了上传速度，提高了用户体验。
进一步的，参照图5，本申请文件扫描方法第四实施例提供一种文件扫描方法，基于上述本申请文件扫描方法第一实施例、第二实施例或第三实施例（本实施例以本申请文件扫描方法第一实施例为例），所述步骤S30之后，还包括：
步骤S51、识别所述文件影像的影像条码得到所述文件影像的业务类别和影像类别，根据所述文件影像的业务类别和影像类别确定所述文件影像对应的业务节点；
步骤S52、向所述业务节点发送推送消息，通知文件影像已录入。
在得到文件影像及其影像条码后，文件扫描装置分别读取各文件影像的影像条码进行识别，得到文件影像的业务类别和影像类别。然后，文件扫描装置分别根据各文件影像的业务类别确定各文件影像对应的业务系统。具体的，文件扫描装置分别根据各文件影像类别，及其对应的业务系统中各业务节点预设的资料需求，确定各文件影像对应的业务节点。例如，文件影像的业务类别为理赔，影像类别为事故证明，则对应的业务系统为理赔系统，对应的业务节点为理赔系统中的调查节点，以供调查人调查事故使用。需要说明的是，一个文件影像可以对应多个业务节点。在得到文件影像对应的业务节点后，文件扫描装置向文件影像对应的业务节点发送推送消息，通知此业务节点其相应的文件影像已经录入，可以使用。业务节点可以到数据库中调用其所需的文件影像。
在本实施例中，识别文件影像的影像条码得到文件影像的业务类别和影像类别，根据文件影像的业务类别和影像类别确定文件影像对应的业务节点；向业务节点发送推送消息，通知文件影像已录入，以供业务节点及时进行业务处理。
进一步地，参照图6，本申请文件扫描方法第五实施例提供一种文件扫描方法，基于上述本申请文件扫描方法第一至第四实施例（本实施例以本申请文件扫描方法第一实施例为例），所述步骤S30之后，还包括：
步骤S61、识别所述影像条码得到所述文件影像的影像类别，根据所述影像类别判断所述文件影像是否需要进行文本识别；
步骤S62、若所述文件影像需要进行文本识别，则对所述文件影像进行文本识别得到文本信息。
在得到文件影像及其影像条码后，文件扫描装置检测是否需要对文件影像进行文本识别。具体的，作为一种实施方式，文件扫描装置识别文件影像的影像条码，得到文件影像的影像类别。然后，根据预设的文本识别需求，判断此类别的影像是否需要进行文本识别。若需要，则判定文件影像需要进行文本识别。然后，文件扫描装置对文件影像进行文本识别，提取文本影像中的文本信息。例如，文件扫描装置可以使用OCR（Optical Character Recognition，光学字符识别）技术，识别得到文本影像对应的文本信息。由此，文件扫描装置分别对各文件影像进行检测，对需要进行文本识别的文件影像进行文本识别，得到对应的文本信息。然后，文件扫描装置可以将文件影像的文本信息上传到其对应的业务数据库中，以供业务节点调用。进一步地，还可以自动将文本信息上传到文件影像对应的业务系统或业务节点中，节省人工调用的工作量。
本实施例通过对文件影像进行文本识别，使得业务节点可以快速调用文件中的文本信息，无需手动录入，大大提高了业务处理效率。
进一步地，参照图7，本申请文件扫描方法第六实施例提供一种文件扫描方法，基于上述文件扫描方法第五实施例，所述步骤S62包括：
步骤S621、若所述文件影像需要进行文本识别，则根据所述影像类别确定所述文件影像需要进行文本识别的区域；
步骤S622、对所述区域中的影像进行文本识别，得到文本信息。
若判定文件影像需要进行文本识别，则文件扫描装置需确定影像需要进行文本识别的区域，仅对需要进行文本识别的区域进行识别。具体的，作为一种实施方式，文件扫描装置根据预设的文本识别需求，获取此类别的影像需要进行文本识别的区域的位置，并在当前文本影像中找到对应的区域，从而剔除干扰区域和未包含当前所需信息的区域。然后，文件扫描装置对文本影像中此区域内的影像进行文本识别，得到文本信息。
例如，参照图11，影像类别为发票的文件影像，若文本识别需求为发票金额，则此类别的影像需要进行文本识别的位置为发票金额区域位置。因此，可以根据发票票面，预先设置需要进行文本识别的发票金额区域的位置。则在对影像类别为发票的文件影像进行文本识别时，首先根据影像类别确定发票金额区域的位置；然后，对发票金额区域进行文本识别，得到的文本信息包括发票金额。
本实施例仅对影像中的部分区域进行文本识别，既减少了文本识别的工作量，又能去除冗余信息，保障了影像中的关键信息能够被识别出来，便于使用。
进一步地，参照图8，本申请文件扫描方法第七实施例提供一种文件扫描方法，基于上述文件扫描方法第五实施例或第六实施例（本实施例以本申请文件扫描方法第五实施例为例），所述步骤S30之后，还包括：
步骤S63、识别所述影像条码得到被保人身份，根据所述被保人身份查询所述被保人的征信信息和保险业务记录；
步骤S64、根据所述文本信息及所述被保人的征信信息、保险业务记录，分析所述被保人的业务风险并配置风险分析结果。
在识别得到文件影像的文本信息，或是文件影像中部分区域的文本信息后，文件扫描装置可以进一步根据得到的文本信息，对案件进行风险分析预警。具体的，作为一种实施方式，文件扫描装置识别文件影像的影像条码，得到被保人身份，例如被保人的姓名、证件号码、客户号码等信息。然后，文件扫描装置根被保人身份，在数据库中查找被保人的征信信息和保险业务记录。其中，被保人的征信信息包括信贷逾期风险、行政负面风险、欺诈风险失信被执行人(法院判决拒不执行）、被执行人（存在法院判决需要执行）、交通严重违章（拘留、吊销执照等）、手机号存在欺诈风险、卡号存在欺诈风险、身份证号存在欺诈风险、存在欺诈风险等等。被保人的保险业务记录包括投保、理赔等保险业务的记录。投保记录中包括被保人保单的险种、保额等信息；理赔记录包括被保人就诊的时间、医院、药品、金额等信息。然后，文件扫描装置根据文件影像的文本信息及被保人的征信信息、保险业务记录，分析被保人的业务风险。需要说明的是，在进行风险分析时，文件扫描装置可以将同一索引条码对应的文件影像的文本信息结合起来，进行综合分析。以当前批量文件的业务类别为理赔进行举例说明，文件影像的文本信息中包括本次申请理赔的保单，以及就诊的医院、时间、药品、金额等等。则文件扫描装置提取被保人征信信息中的风险项，作为被保人的业务风险，配置到风险分析结果中。并且，文件扫描装置根据被保人的理赔记录，对本次申请理赔就诊的医院、时间进行查重处理，判断是否已经申请过理赔；对被保人的理赔频率进行计算，判断理赔频率是否超过预设的阈值，过于频繁而存在骗保的可能；对被保人的疾病类型进行检测，判断是否在保单的理赔协议范围内，根据被保人的性别、年龄判断疾病类型是否被保人当前情况下常见的疾病等；对被保人就诊的医院进行检测，判断被保人就诊的医院是否在保单的理赔协议范围内，是否为定点医院等。然后，文件扫描装置将各项信息的检测结果作为被保人的业务风险，配置到风险分析结果中。由此，得到风险分析结果。进一步地，在得到风险分析结果后，文件扫描装置可以将风险分析结果上传到文件影像对应的业务数据库，或是将风险分析结果推送给文件影像对应的业务节点，以提示审核人本案的风险。
本实施例实现了在批量扫描文件时，能够初步对文件进行业务风险分析，得到的风险分析结果为后续的业务审核提供了风险提示，降低了业务风险。
此外，本申请实施例还提出一种文件扫描系统，所述文件扫描系统包括：
扫描模块，用于在收到批量扫描指令时，按照文件叠放顺序依次扫描批量文件得到文件影像；
分类模块，用于在所述文件影像中查找索引条码和类别条码，并根据扫描顺序确定所述类别条码对应的文件影像；
条码模块，用于根据所述索引条码和所述类别条码，为所述类别条码对应的文件影像配置影像条码。
可选地，所述文件影像中包括多个索引条码，所述分类模块还用于，根据扫描顺序，确定所述各索引条码对应的文件影像；分别在所述各索引条码对应的文件影像中查找类别条码，得到所述各索引条码下属的类别条码；根据扫描顺序及所述各索引条码对应的文件影像，分别确定所述各索引条码下属的类别条码所对应的文件影像；
所述条码模块还用于，根据所述各索引条码及其下属的类别条码，分别为所述各索引条码下属的类别条码所对应的文件影像配置影像条码。
可选地，所述文件扫描系统还包括：上传模块，用于识别所述文件影像的影像条码得到所述文件影像的业务类别，根据所述业务类别确定所述文件影像对应的业务数据库；将所述文件影像上传至对应的业务数据库。
可选地，所述文件扫描系统还包括：通知模块，用于识别所述文件影像的影像条码得到所述文件影像的业务类别和影像类别，根据所述文件影像的业务类别和影像类别确定所述文件影像对应的业务节点；向所述业务节点发送推送消息，通知文件影像已录入。
可选地，所述文件扫描系统还包括：识别模块，用于识别所述影像条码得到所述文件影像的影像类别，根据所述影像类别判断所述文件影像是否需要进行文本识别；若所述文件影像需要进行文本识别，则对所述文件影像进行文本识别得到文本信息。
可选地，所述识别模块还用于，若所述文件影像需要进行文本识别，则根据所述影像类别确定所述文件影像需要进行文本识别的区域；对所述区域中的影像进行文本识别，得到文本信息。
可选地，所述文件扫描系统还包括：风险模块，用于识别所述影像条码得到被保人身份，根据所述被保人身份查询所述被保人的征信信息和保险业务记录；根据所述文本信息及所述被保人的征信信息、保险业务记录，分析所述被保人的业务风险并配置风险分析结果。
本申请文件扫描系统的具体实施例与上述文件扫描方法各实施例基本相同，在此不作赘述。
此外，本申请实施例还提出一种计算机可读存储介质，所述计算机可读存储介质上存储有文件扫描程序，所述文件扫描程序被处理器执行时实现本发明任一实施例所述的文件扫描方法。本申请计算机可读存储介质的具体实施例与上述文件扫描方法各实施例基本相同，在此不作赘述。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者系统不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者系统所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者系统中还存在另外的相同要素。上述本申请实施例序号仅仅为了描述，不代表实施例的优劣。
以上仅为本申请的优选实施例，并非因此限制本申请的专利范围，凡是利用本申请说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本申请的专利保护范围内。

Claims (20)

  1. 一种文件扫描方法，其特征在于，所述文件扫描方法包括以下步骤：
    在收到批量扫描指令时，按照文件叠放顺序依次扫描批量文件得到文件影像；
    在所述文件影像中查找索引条码和类别条码，并根据扫描顺序确定所述类别条码对应的文件影像；
    根据所述索引条码和所述类别条码，为所述类别条码对应的文件影像配置影像条码。
  2. 如权利要求1所述的文件扫描方法，其特征在于，所述文件影像中包括多个索引条码，所述在所述文件影像中查找索引条码和类别条码，并根据扫描顺序确定所述类别条码对应的文件影像的步骤包括：
    根据扫描顺序，确定所述各索引条码对应的文件影像；
    分别在所述各索引条码对应的文件影像中查找类别条码，得到所述各索引条码下属的类别条码；
    根据扫描顺序及所述各索引条码对应的文件影像，分别确定所述各索引条码下属的类别条码所对应的文件影像；
    所述根据所述索引条码和所述类别条码，为所述类别条码对应的文件影像配置影像条码的步骤包括：
    根据所述各索引条码及其下属的类别条码，分别为所述各索引条码下属的类别条码所对应的文件影像配置影像条码。
  3. 如权利要求1所述的文件扫描方法，其特征在于，在根据所述索引条码和所述类别条码，为所述类别条码对应的文件影像配置影像条码之后，所述文件扫描方法还包括：
    识别所述文件影像的影像条码得到所述文件影像的业务类别，根据所述业务类别确定所述文件影像对应的业务数据库；
    将所述文件影像上传至对应的业务数据库。
  4. 如权利要求1所述的文件扫描方法，其特征在于，在根据所述索引条码和所述类别条码，为所述类别条码对应的文件影像配置影像条码之后，所述文件扫描方法还包括：
    识别所述文件影像的影像条码得到所述文件影像的业务类别和影像类别，根据所述文件影像的业务类别和影像类别确定所述文件影像对应的业务节点；
    向所述业务节点发送推送消息，通知文件影像已录入。
  5. 如权利要求1所述的文件扫描方法，其特征在于，在根据所述索引条码和所述类别条码，为所述类别条码对应的文件影像配置影像条码之后，所述文件扫描方法还包括：
    识别所述影像条码得到所述文件影像的影像类别，根据所述影像类别判断所述文件影像是否需要进行文本识别；
    若所述文件影像需要进行文本识别，则对所述文件影像进行文本识别得到文本信息。
  6. 如权利要求5所述的文件扫描方法，其特征在于，所述若所述文件影像需要进行文本识别，则对所述文件影像进行文本识别得到文本信息的步骤包括：
    若所述文件影像需要进行文本识别，则根据所述影像类别确定所述文件影像需要进行文本识别的区域；
    对所述区域中的影像进行文本识别，得到文本信息。
  7. 如权利要求5所述的文件扫描方法，其特征在于，在根据所述索引条码和所述类别条码，为所述类别条码对应的文件影像配置影像条码之后，所述文件扫描方法还包括：
    识别所述影像条码得到被保人身份，根据所述被保人身份查询所述被保人的征信信息和保险业务记录；
    根据所述文本信息及所述被保人的征信信息、保险业务记录，分析所述被保人的业务风险并配置风险分析结果。
  8. 一种文件扫描系统，其特征在于，所述文件扫描系统包括：
    扫描模块，用于在收到批量扫描指令时，按照文件叠放顺序依次扫描批量文件得到文件影像；
    分类模块，用于在所述文件影像中查找索引条码和类别条码，并根据扫描顺序确定所述类别条码对应的文件影像；
    条码模块，用于根据所述索引条码和所述类别条码，为所述类别条码对应的文件影像配置影像条码。
  9. 如权利要求8所述的文件扫描系统，其特征在于，所述文件影像中包括多个索引条码，所述分类模块还用于，
    根据扫描顺序，确定所述各索引条码对应的文件影像；分别在所述各索引条码对应的文件影像中查找类别条码，得到所述各索引条码下属的类别条码；根据扫描顺序及所述各索引条码对应的文件影像，分别确定所述各索引条码下属的类别条码所对应的文件影像；
    所述条码模块还用于，根据所述各索引条码及其下属的类别条码，分别为所述各索引条码下属的类别条码所对应的文件影像配置影像条码。
  10. 如权利要求8所述的文件扫描系统，其特征在于，所述文件扫描系统还包括：
    上传模块，用于识别所述文件影像的影像条码得到所述文件影像的业务类别，根据所述业务类别确定所述文件影像对应的业务数据库；将所述文件影像上传至对应的业务数据库。
  11. 如权利要求8所述的文件扫描系统，其特征在于，所述文件扫描系统还包括：
    通知模块，用于识别所述文件影像的影像条码得到所述文件影像的业务类别和影像类别，根据所述文件影像的业务类别和影像类别确定所述文件影像对应的业务节点；向所述业务节点发送推送消息，通知文件影像已录入。
  12. 如权利要求8所述的文件扫描系统，其特征在于，所述文件扫描系统还包括：
    识别模块，用于识别所述影像条码得到所述文件影像的影像类别，根据所述影像类别判断所述文件影像是否需要进行文本识别；若所述文件影像需要进行文本识别，则对所述文件影像进行文本识别得到文本信息。
  13. 一种文件扫描装置，其特征在于，所述文件扫描装置包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的文件扫描程序，所述文件扫描程序被所述处理器执行时实现如下步骤：
    在收到批量扫描指令时，按照文件叠放顺序依次扫描批量文件得到文件影像；
    在所述文件影像中查找索引条码和类别条码，并根据扫描顺序确定所述类别条码对应的文件影像；
    根据所述索引条码和所述类别条码，为所述类别条码对应的文件影像配置影像条码。
  14. 如权利要求13所述的文件扫描装置，其特征在于，所述文件影像中包括多个索引条码，所述文件扫描程序被所述处理器执行时还实现如下步骤：
    根据扫描顺序，确定所述各索引条码对应的文件影像；
    分别在所述各索引条码对应的文件影像中查找类别条码，得到所述各索引条码下属的类别条码；
    根据扫描顺序及所述各索引条码对应的文件影像，分别确定所述各索引条码下属的类别条码所对应的文件影像；
    根据所述各索引条码及其下属的类别条码，分别为所述各索引条码下属的类别条码所对应的文件影像配置影像条码。
  15. 如权利要求13所述的文件扫描装置，其特征在于，所述文件扫描程序被所述处理器执行时还实现如下步骤：
    识别所述文件影像的影像条码得到所述文件影像的业务类别，根据所述业务类别确定所述文件影像对应的业务数据库；
    将所述文件影像上传至对应的业务数据库。
  16. 如权利要求13所述的文件扫描装置，其特征在于，所述文件扫描程序被所述处理器执行时还实现如下步骤：
    识别所述文件影像的影像条码得到所述文件影像的业务类别和影像类别，根据所述文件影像的业务类别和影像类别确定所述文件影像对应的业务节点；
    向所述业务节点发送推送消息，通知文件影像已录入。
  17. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质上存储有文件扫描程序，所述文件扫描程序被处理器执行时实现如下步骤：
    在收到批量扫描指令时，按照文件叠放顺序依次扫描批量文件得到文件影像；
    在所述文件影像中查找索引条码和类别条码，并根据扫描顺序确定所述类别条码对应的文件影像；
    根据所述索引条码和所述类别条码，为所述类别条码对应的文件影像配置影像条码。
  18. 如权利要求17所述的计算机可读存储介质，其特征在于，所述文件影像中包括多个索引条码，所述文件扫描程序被处理器执行时还实现如下步骤：
    根据扫描顺序，确定所述各索引条码对应的文件影像；
    分别在所述各索引条码对应的文件影像中查找类别条码，得到所述各索引条码下属的类别条码；
    根据扫描顺序及所述各索引条码对应的文件影像，分别确定所述各索引条码下属的类别条码所对应的文件影像；
    根据所述各索引条码及其下属的类别条码，分别为所述各索引条码下属的类别条码所对应的文件影像配置影像条码。
  19. 如权利要求17所述的计算机可读存储介质，其特征在于，所述文件扫描程序被处理器执行时还实现如下步骤：
    识别所述文件影像的影像条码得到所述文件影像的业务类别，根据所述业务类别确定所述文件影像对应的业务数据库；将所述文件影像上传至对应的业务数据库。
  20. 如权利要求17所述的计算机可读存储介质，其特征在于，所述文件扫描程序被处理器执行时还实现如下步骤：
    识别所述文件影像的影像条码得到所述文件影像的业务类别和影像类别，根据所述文件影像的业务类别和影像类别确定所述文件影像对应的业务节点；
    向所述业务节点发送推送消息，通知文件影像已录入。
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Families Citing this family (7)

* 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
CN115712748A (zh) * 2022-11-24 2023-02-24 航天信息股份有限公司 文件扫描分组方法、装置、电子设备和存储介质

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

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