CN113159732A - Qualification approval method, device, equipment and storage medium - Google Patents
Qualification approval method, device, equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a qualification approval method, a qualification approval device, qualification approval equipment and a storage medium. The method comprises the steps of obtaining preset qualification approval information input by a user for qualification application; the preset qualification approval information comprises preset qualification text information and a preset qualification image; performing qualification audit according to the qualification file elements identified in the preset qualification image and the preset qualification text information; and if the qualification file elements are successfully matched with the preset qualification text information, determining that the qualification application is approved and approved. According to the technical scheme, the unstructured qualification image can be approved, and automatic qualification approval is achieved.
Description
Technical Field
The embodiment of the invention relates to an automatic programming technology, in particular to a qualification approval method, a qualification approval device, qualification approval equipment and a storage medium.
Background
Some business systems require a user to apply for qualification before allowing other functions to be used, and then a system administrator confirms and approves the qualification. Such systems involving approval business require the applicant to upload a document image issued by a management department and an applicant identity document image, then enter basic information, and after submission, the document image is approved by an administrator.
The approval of some systems is triggered by the applicant after the applicant filed the application, i.e. the applicant notifies the authorized approver to perform manual verification and approval. Therefore, in view of the process approval mode, all the existing process approvals need to be participated by someone, and the authorized approvers subjectively judge the legality and validity of the qualification. The existing automatic approval tool has single input element, namely the input element is mainly structured data and is stored in a workflow or approval information database. The method is not enough for the situation that unstructured multimedia information such as user related certificates and qualification scanning piece information needs to be input, so that the use scene is single, and the requirement of qualification approval cannot be met. The existing automatic approval system is suitable for the information input by the user as structured data, and the qualification service approval system has the following characteristics: (1) the qualification application is a rigid requirement, namely the user must firstly apply the qualification before using other functions of the service system; (2) the qualification application business volume is large, the user base number determines that the qualification application and approval business volume is large, and the application pieces submitted by the user are complex; (3) the manpower for examination and approval is insufficient, manual examination and approval is repetitive work and consumes time, and in order to ensure the continuity of examination and approval, a specially-assigned person needs to be arranged for examination and approval, so that expensive manpower is wasted. Due to the practical reasons, the flow can be affected and cannot be handled in time, so that the blockage is caused. For example, a certain process has a strong requirement on timeliness, and if an approver does not approve the process in time, adverse effects may be caused on company services.
Disclosure of Invention
The embodiment of the invention provides a qualification approval method, a qualification approval device, a qualification approval apparatus and a storage medium, which are used for realizing the approval of unstructured qualification images and realizing the automatic qualification approval.
In a first aspect, an embodiment of the present invention provides a qualification approval method, including:
acquiring preset qualification approval information input for qualification application by a user; the preset qualification approval information comprises preset qualification text information and a preset qualification image;
performing qualification audit according to the qualification file elements identified in the preset qualification image and the preset qualification text information;
and if the qualification file elements are successfully matched with the preset qualification text information, determining that the qualification application is approved and approved.
In a second aspect, an embodiment of the present invention further provides an approval apparatus for qualification, including:
the qualification approval information acquisition module is used for acquiring preset qualification approval information input by a user for qualification application; the preset qualification approval information comprises preset qualification text information and a preset qualification image;
the qualification auditing module is used for auditing the qualification according to the qualification file elements identified in the preset qualification image and the preset qualification text information;
and the approval passing module is used for determining that the qualification application is approved and approved if the qualification file elements are successfully matched with the preset qualification text information.
In a third aspect, an embodiment of the present invention further provides a qualification approval apparatus, where the qualification approval apparatus includes:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a qualification method as provided by any of the embodiments of the invention.
In a fourth aspect, embodiments of the present invention also provide a storage medium containing computer-executable instructions for performing a qualification approval method as provided by any of the embodiments of the present invention when executed by a computer processor.
The embodiment of the invention identifies the qualification file elements in the qualification image to perform qualification approval on the unstructured data such as the image, solves the problems that the existing qualification approval tool has low manual approval efficiency and large human resource consumption because the input elements do not support the image, realizes automatic qualification approval and improves the effect of qualification approval efficiency.
Drawings
FIG. 1 is a flowchart of a qualification approval method according to an embodiment of the present invention;
FIG. 2 is a flowchart of a qualification approval method according to a second embodiment of the present invention;
FIG. 3 is a flowchart of a qualification approval method according to a third embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an approval apparatus for qualification according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of a qualification approval apparatus according to a fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a qualification approval method according to an embodiment of the present invention, where the method is applicable to a service system, and when a user applies for qualification and then verifies qualification approval information input by the user, the method may be executed by a qualification approval apparatus, which may be implemented by hardware and/or software and may generally be integrated in a qualification approval device, such as a server. The qualification approval method specifically comprises the following steps:
the preset qualification approval information comprises preset qualification text information and a preset qualification image. The user applies for qualification and can input related preset qualification approval information in a qualification approval system interface. The preset qualification approval information is certificate information related to the user, and some service systems need the user to apply for qualification before allowing other functions to be used. Such systems involving approval services require document information uploaded by the applicant, which may include a preset qualification image and preset qualification text information, where the preset qualification image is a document image required by a qualification application, such as a document scanning image issued by a management department and an applicant identity document scanning image, and then a user enters text information related to the qualification application, that is, information of the document, such as information number, issuing organization, issuing time and validity period covered by the document.
120, performing qualification audit according to the qualification file elements identified in the preset qualification image and the preset qualification text information;
the preset qualification approval information input by the user for qualification application can be input into a qualification approval engine, and the qualification approval engine takes the input information of the user as input and the approval result as output based on preset series parameters. The qualification document elements that can be identified from the preset qualification image based on Optical Character Recognition (OCR) can be some related information of the certificate, such as the information number covered by the certificate, the issuing organization, the issuing time and the validity period, etc. Identification Parameters (IRP), which are Parameters to be input when Image Recognition is performed using OCR, may be set in advance, and these Parameters constitute a model of Image Recognition so as to accurately and efficiently identify a certificate issued by a government department, identification card information of a user, and the like. Approval parameters of qualification approval: the (ARP) can also be preset, and when the automatic approval is carried out, the identification result is used as input based on the approval Parameters, and whether the information input by the user is real or not is verified by calling the authentication information of a government department or an authority.
And comparing whether the qualification document element is consistent with the preset qualification text information or not under the condition of verifying that the information input by the user is real, wherein qualification approval is possible only if the qualification document element is consistent with the preset qualification text information.
And step 130, if the qualification file elements are successfully matched with the preset qualification text information, determining that the qualification application is approved.
The successful matching of the qualification document elements and the preset qualification text information means that the qualification document elements are consistent with the preset qualification text information, and meanwhile, the confidence coefficient of the qualification document elements needs to be identified to be larger than a preset confidence coefficient threshold. According to the recognition algorithm preset in the recognition parameters, for example, the Tesseract algorithm is appointed to be adopted to recognize characters in the picture; acquiring information numbers, issuing mechanisms, issuing time, validity periods and the like covered by certificates through regular expressions, and simultaneously returning confidence degrees of information identification of the identification results; the authenticity of the certificate file can be inquired in an official system according to the certificate number identified in the picture, and whether the certificate is expired or invalid can be known according to the inquiry result; if no match occurs during the verification process, rejecting the application; the method comprises the steps of carrying out the same identification on characters in an identity card picture on identity card information, obtaining an identity card number, an issuing mechanism, issuing time, an effective period and the like covered by an identity card through a regular expression, and inquiring the authenticity of the identity card; and finally, comparing the identified basic information of the identity card and the certificate with preset qualification text information input by a user on an interface. And when the confidence coefficient is greater than the confidence coefficient threshold value, the examination and approval are passed.
According to the technical scheme, the quality document elements in the quality image are identified, the quality examination and approval is carried out on the unstructured data such as the image, the problems that the existing quality examination and approval tool entry elements do not support the image, manual examination and approval efficiency is low, and human resource consumption is large are solved, automatic quality examination and approval are achieved, and the quality examination and approval efficiency is improved.
Example two
Fig. 2 is a flowchart of a qualification approval method according to a second embodiment of the present invention, which is further refined based on the above technical solution, and after performing qualification audit according to the qualification document elements identified in the preset qualification image and the preset qualification text information, the method further includes: and if the qualification file elements are unsuccessfully matched with the preset qualification text information, informing a preset administrator to carry out manual examination. The qualification approval method provided by this embodiment specifically includes:
220, performing qualification audit according to the qualification file elements identified in the preset qualification image and the preset qualification text information;
and step 230, if the qualification file elements are successfully matched with the preset qualification text information, determining that qualification application approval passes.
And 240, if the qualification file elements are unsuccessfully matched with the preset qualification text information, informing a preset administrator to perform manual review.
The existing automatic approval tool is lack of an escape channel, namely, the existing automatic approval tool is lack of setting remedial measures, and completely depends on an automatic approval system. When the system has the condition of incapability of approval or other exceptional conditions, the escape passage for approval by manual intervention is lacked. Whether the matching of the qualification document element and the preset qualification text information is successful or failed needs to be determined according to whether the qualification document element is consistent with the preset qualification text information or not and whether the confidence coefficient of the qualification document element is greater than a preset confidence coefficient threshold or not. It is understood that the order of execution of step 230 and step 240 is not limited.
Optionally, if the qualification document element fails to match the preset qualification text information, notifying a preset administrator to perform manual review, including:
if the qualification document element is completely matched with the content of the preset qualification text information and the confidence coefficient of the qualification document element identified from the preset qualification image is smaller than a confidence coefficient threshold value, informing a preset administrator to perform manual examination;
and if the qualification file elements are not completely matched with the content of the preset qualification text information and the confidence coefficient of the qualification file elements identified from the preset qualification image is greater than the confidence coefficient threshold value, informing a preset administrator to perform manual examination.
Optionally, after notifying the preset administrator to perform manual review if the qualification document element is completely matched with the content of the preset qualification text information and the confidence of the qualification document element identified from the preset qualification image is smaller than a threshold, the method further includes:
and if the manual examination is passed, reducing the confidence coefficient threshold value according to a preset adjustment range.
If the manual review passes, the setting of the confidence threshold is larger, and the condition that the review is too harsh exists, so that the review result of the manual intervention is fed back to the review engine, and the review engine can reduce the confidence threshold in the review parameters.
Optionally, after notifying the preset administrator to perform manual review if the qualification document element is not completely matched with the content of the preset qualification text information and the confidence of the qualification document element identified from the preset qualification image is greater than the confidence threshold, the method further includes:
and if the manual examination is not passed, increasing the confidence threshold according to a preset adjustment range.
If the manual examination does not pass, the threshold value of the confidence coefficient is set to be smaller, and the situation that the examination and approval is too loose exists, so that after the examination and approval result of the manual intervention is fed back to the examination and approval engine, the examination and approval engine can increase the threshold value of the confidence coefficient in the examination and approval parameters.
Optionally, before performing qualification audit according to the qualification document elements identified in the preset qualification image and the preset qualification text information, the method further includes:
comparing the size of the image file of the preset qualification image with a preset file size threshold value, and rejecting the preset qualification image with the image file size smaller than the preset file size threshold value; and/or the presence of a gas in the gas,
determining the definition of the preset qualification image based on a preset definition algorithm, and rejecting the preset qualification image with the definition not meeting definition conditions; and/or the presence of a gas in the gas,
and identifying resources according to the qualification file elements and the corresponding file validity, and eliminating the preset qualification images which do not accord with preset file valid conditions.
Wherein, the recognition parameters may include the direction of the detected picture, including horizontal and vertical, the detection language, default may be chinese, OCR confidence, and recognition algorithm (recognition algorithm): the parameter is used for identifying an algorithm of character information in the picture, and the selection of the main stream comprises the following steps: Tesseract/AipOcr/KNN implements OCR.
The approval parameters are composed of a series of threshold values and judgment conditions, and because related files in the application form can be stored in the server so as to facilitate manual review and later log tracking, the definition and the file size need to be considered. Because the definition of the image is an important index for measuring the quality of the image, the image can better correspond to the subjective feeling of people, and the blurring of the image is shown when the definition of the image is not high. The approval parameters include a qualification file size threshold, and a qualification file definition evaluation function, for example, includes: the system comprises a gradient function, a gray variance function, an energy gradient function, an entropy function, a secondary fuzzy algorithm and the like, an ID document size threshold, an ID document definition evaluation function, and a function type which can be the same as the qualification document definition evaluation function, and whether to start green approval of a recommended code, wherein the parameters indicate that an applicant has an input internal recommended code, and if the recommended code is started during approval, a green approval channel can be passed, the system directly registers and approves, the urgency degree of an approval sheet and the grade of a user.
After the user inputs the information of the application form and submits the information to the approval engine, the automatic approval process can be started. The pre-processing of the image may be performed after the approval has been initiated,
(1) and detecting whether the file is fuzzy or not based on the identification parameters, if the identification algorithm is specified as a secondary fuzzy algorithm, and directly rejecting the application form with the fuzzy. Principle of second order blur: if an image is blurred, then the image is subjected to blurring processing again, and the high-frequency component is not changed greatly; however, if the original image is clear, and the original image is blurred once, the high frequency components will be changed greatly, which is essentially a sharpness algorithm based on secondary blurring.
(2) And acquiring the size of the image file, and comparing the size of the image file with a file size threshold in the approval parameters to directly reject the image file which is not satisfied.
(3) And inquiring the authenticity and the validity of the certificate and the identity card according to the qualification file elements, and rejecting the preset qualification images which do not accord with the preset file valid conditions, wherein the forged, overdue and invalid certificates belong to the range which do not accord with the preset file valid conditions.
According to the technical scheme, the escape passage is arranged and can be used as a remedial measure, and the qualification approval is not dependent on an automatic approval system too much under the condition that manpower is taken out from the work of releasing approval through the qualification approval engine. And carrying out manual intervention approval for the condition that the system cannot be approved or is exceptional.
EXAMPLE III
Fig. 3 is a flowchart of a qualification approval method provided in the third embodiment of the present invention, which is further detailed based on the above technical solution, and the qualification approval method provided in this embodiment further includes:
and 340, adjusting preset parameters in qualification approval according to the manual rechecking result fed back by the administrator.
The sample library of the samples can select the application forms after the examination and approval within a period of time, wherein the application forms include application forms which pass the examination and approval and reject the examination and approval. The positive sampling proportion can be the sampling proportion of the approved application form when the administrator rechecks, and the negative sampling proportion can be the sampling proportion of the approved and rejected application form when the administrator rechecks. The positive sampling ratio and the negative sampling ratio can be preset and can be modified by an administrator. And randomly sampling in batches, manually rechecking and checking, and optimizing feedback adjustment identification parameters and approval parameters according to a manual rechecking result fed back by an administrator. The manual rechecking result can be the evaluation of whether the result is reasonable after sampling rechecking. Manual review checks may be performed by multiple administrators and then the manual review results are summarized. And adjusting the approval parameters and the identification parameters set during initialization according to the rechecking result.
According to the technical scheme of the embodiment, a feedback mechanism is added, and since the approval of some services can not be completely automated when manual definition is really needed, a manual intervention mechanism should be added for the system, the correctness of the automatic approval is manually rechecked, and particularly, parameters in the approval engine need to be timely corrected through certain manual intervention when the system is initialized. After the system has been in operation for a period of time, the automated approval confidence level of the system converges to a higher level.
Example four
Fig. 4 is a schematic structural diagram of a qualification approval apparatus according to a fourth embodiment of the present invention, where the qualification approval apparatus provided in this embodiment specifically includes:
a qualification approval information obtaining module 410, configured to obtain preset qualification approval information input by the user for a qualification application; the preset qualification approval information comprises preset qualification text information and a preset qualification image;
a qualification auditing module 420, configured to perform qualification auditing according to the qualification file elements identified in the preset qualification image and the preset qualification text information;
and an approval pass module 430, configured to determine that the qualification application approval passes if the qualification file element is successfully matched with the preset qualification text information.
By identifying the qualification file elements in the qualification image, the qualification approval is carried out on the unstructured data such as the image, the problems that the existing qualification approval tool has low manual approval efficiency and large human resource consumption because the input elements do not support the image are solved, the automatic qualification approval is realized, and the qualification approval efficiency is improved.
Optionally, the qualification approval apparatus further includes:
and the manual auditing intervention module is used for informing a preset administrator to perform manual auditing if the qualification file elements and the preset qualification text information fail to be matched after the qualification auditing is performed according to the qualification file elements and the preset qualification text information identified in the preset qualification image.
Optionally, the manual review intervention module includes:
a first manual review intervention unit, configured to notify a preset administrator to perform manual review if the qualification document element is completely matched with the preset qualification text information content and the confidence level of the qualification document element identified from the preset qualification image is smaller than a confidence level threshold; or,
and the second manual review intervention unit is used for informing the preset administrator to perform manual review if the qualification file elements are not completely matched with the preset qualification text information content and the confidence coefficient of the qualification file elements identified from the preset qualification image is smaller than the confidence coefficient threshold value.
Optionally, the manual review intervention module further includes:
and the first confidence threshold adjusting unit is used for informing a preset administrator to perform manual review if the qualification document element is completely matched with the preset qualification text information content and the confidence of the qualification document element identified from the preset qualification image is smaller than a threshold, and then reducing the confidence threshold according to a preset adjusting range if the manual review is passed.
Optionally, the manual review intervention module further includes:
and the second confidence threshold adjusting unit is used for informing the preset administrator to perform manual review and then reducing the confidence threshold according to a preset adjusting range if the manual review fails after the qualification document elements are not completely matched with the preset qualification text information content and the confidence of the qualification document elements identified from the preset qualification image is smaller than the confidence threshold.
Optionally, the qualification approval apparatus further includes:
the first qualification image screening module is used for comparing the size of the image file of the preset qualification image with a preset file size threshold value before qualification verification is carried out according to the qualification file elements identified in the preset qualification image and the preset qualification text information, and rejecting the preset qualification image of which the size is smaller than the preset file size threshold value; and/or the presence of a gas in the gas,
the second qualification image screening module is used for determining the definition of the preset qualification image based on a preset definition algorithm and rejecting the preset qualification image with the definition not meeting the definition condition; and/or the presence of a gas in the gas,
and the third qualification image screening module is used for identifying resources according to the qualification file elements and the corresponding file validity and eliminating the preset qualification images which do not meet the preset file validity conditions.
Optionally, the qualification approval apparatus further includes:
the first sampling module is used for sampling from the approved application form in the preset time period according to the positive sampling proportion to obtain an approved application form sample;
the second sampling module is used for sampling from the application form which is not approved within the preset time period according to a negative sampling proportion to obtain a sample of the application form which is not approved;
the sample rechecking module is used for providing the examination and approval passing application form sample and the examination and approval failing application form sample to an administrator for manual rechecking;
and the parameter adjusting module is used for adjusting the preset parameters in the qualification approval according to the manual rechecking result fed back by the administrator.
The qualification approval device provided by the embodiment of the invention can execute the qualification approval method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
EXAMPLE five
Fig. 5 is a schematic structural diagram of a qualification approval apparatus according to a fifth embodiment of the present invention, as shown in fig. 5, the qualification approval apparatus includes a processor 510, a memory 520, an input device 530, and an output device 540; the number of processors 510 in the qualification approval apparatus may be one or more, and one processor 510 is taken as an example in fig. 5; the processor 510, the memory 520, the input device 530, and the output device 540 in the qualification approval apparatus may be connected by a bus or other means, and fig. 5 illustrates an example of a bus connection.
The memory 520 is a computer-readable storage medium, and can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the qualification approval method in the embodiment of the present invention (for example, the qualification approval information obtaining module 410, the qualification approval module 420, and the approval passing module 430 in the qualification approval apparatus). The processor 510 executes various functional applications and data processing of the qualification approval apparatus by operating software programs, instructions and modules stored in the memory 520, thereby implementing the qualification approval method described above.
The memory 520 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 520 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 520 may further include memory located remotely from processor 510, which may be connected to a qualification approval facility via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 530 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function controls of the qualification approval apparatus. The output device 540 may include a display device such as a display screen.
EXAMPLE six
A sixth embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a qualification approval method, comprising:
acquiring preset qualification approval information input for qualification application by a user; the preset qualification approval information comprises preset qualification text information and a preset qualification image;
performing qualification audit according to the qualification file elements identified in the preset qualification image and the preset qualification text information;
and if the qualification file elements are successfully matched with the preset qualification text information, determining that the qualification application is approved and approved.
Of course, the storage medium provided by the embodiment of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the operations of the method described above, and may also perform related operations in the qualification approval method provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the qualification approval apparatus, the included units and modules are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (16)
1. A qualification approval method, comprising:
acquiring preset qualification approval information input for qualification application by a user; the preset qualification approval information comprises preset qualification text information and a preset qualification image;
performing qualification audit according to the qualification file elements identified in the preset qualification image and the preset qualification text information;
and if the qualification file elements are successfully matched with the preset qualification text information, determining that the qualification application is approved and approved.
2. The method according to claim 1, further comprising, after performing qualification audit according to the qualification document elements identified in the preset qualification image and the preset qualification text information:
and if the qualification file elements are unsuccessfully matched with the preset qualification text information, informing a preset administrator to carry out manual examination.
3. The method according to claim 2, wherein if the qualification document elements fail to match the predetermined qualification text information, notifying a predetermined administrator for manual review, comprises:
if the qualification document element is completely matched with the content of the preset qualification text information and the confidence coefficient of the qualification document element identified from the preset qualification image is smaller than a confidence coefficient threshold value, informing a preset administrator to perform manual examination;
and if the qualification file elements are not completely matched with the content of the preset qualification text information and the confidence coefficient of the qualification file elements identified from the preset qualification image is greater than the confidence coefficient threshold value, informing a preset administrator to perform manual examination.
4. The method of claim 3, further comprising, after notifying the predetermined administrator for manual review if the qualification document elements completely match the predetermined qualification text message content and the confidence level of the qualification document elements identified from the predetermined qualification image is less than a threshold value:
and if the manual examination is passed, reducing the confidence coefficient threshold value according to a preset adjustment range.
5. The method of claim 3, further comprising, after notifying the predetermined administrator for manual review if the qualification document elements do not completely match the predetermined qualification text message content and the confidence level of the qualification document elements identified from the predetermined qualification image is greater than the confidence level threshold:
and if the manual examination is not passed, increasing the confidence threshold according to a preset adjustment range.
6. The method according to claim 1, further comprising, before performing qualification review based on the qualification document elements identified in the preset qualification image and the preset qualification text information:
comparing the size of the image file of the preset qualification image with a preset file size threshold value, and rejecting the preset qualification image with the image file size smaller than the preset file size threshold value; and/or the presence of a gas in the gas,
determining the definition of the preset qualification image based on a preset definition algorithm, and rejecting the preset qualification image with the definition not meeting definition conditions; and/or the presence of a gas in the gas,
and identifying resources according to the qualification file elements and the corresponding file validity, and eliminating the preset qualification images which do not accord with preset file valid conditions.
7. The method of any one of claims 1-6, further comprising:
sampling from the approved application sheets in a preset time period according to a positive sampling proportion to obtain approved application sheet samples;
sampling from the application form which is not approved in the preset time period according to a negative sampling proportion to obtain an approval-failed application form sample;
providing the sample of the approved application form and the sample of the non-approved application form for an administrator for manual review;
and adjusting preset parameters in qualification approval according to a manual rechecking result fed back by the administrator.
8. An approval system for qualification, comprising:
the qualification approval information acquisition module is used for acquiring preset qualification approval information input by a user for qualification application; the preset qualification approval information comprises preset qualification text information and a preset qualification image;
the qualification auditing module is used for auditing the qualification according to the qualification file elements identified in the preset qualification image and the preset qualification text information;
and the approval passing module is used for determining that the qualification application is approved and approved if the qualification file elements are successfully matched with the preset qualification text information.
9. The apparatus of claim 8, further comprising:
and the manual auditing intervention module is used for informing a preset administrator to perform manual auditing if the qualification file elements and the preset qualification text information fail to be matched after the qualification auditing is performed according to the qualification file elements and the preset qualification text information identified in the preset qualification image.
10. The apparatus of claim 9, wherein the manual review intervention module comprises:
a first manual review intervention unit, configured to notify a preset administrator to perform manual review if the qualification document element is completely matched with the preset qualification text information content and the confidence level of the qualification document element identified from the preset qualification image is smaller than a confidence level threshold; or,
and the second manual review intervention unit is used for informing the preset administrator to perform manual review if the qualification file elements are not completely matched with the preset qualification text information content and the confidence coefficient of the qualification file elements identified from the preset qualification image is greater than the confidence coefficient threshold value.
11. The apparatus of claim 10, wherein the manual review intervention module further comprises:
and the first confidence threshold adjusting unit is used for informing a preset administrator to perform manual review if the qualification document element is completely matched with the preset qualification text information content and the confidence of the qualification document element identified from the preset qualification image is smaller than a threshold, and then reducing the confidence threshold according to a preset adjusting range if the manual review is passed.
12. The apparatus of claim 10, wherein the manual review intervention module further comprises:
and the second confidence threshold adjusting unit is used for informing a preset administrator to perform manual review if the qualification document element is not completely matched with the preset qualification text information content and the confidence of the qualification document element identified from the preset qualification image is greater than the confidence threshold, and then increasing the confidence threshold according to a preset adjusting range if the manual review fails.
13. The apparatus of claim 8, further comprising:
the first qualification image screening module is used for comparing the size of the image file of the preset qualification image with a preset file size threshold value before qualification verification is carried out according to the qualification file elements identified in the preset qualification image and the preset qualification text information, and rejecting the preset qualification image of which the size is smaller than the preset file size threshold value; and/or the presence of a gas in the gas,
the second qualification image screening module is used for determining the definition of the preset qualification image based on a preset definition algorithm and rejecting the preset qualification image with the definition not meeting the definition condition; and/or the presence of a gas in the gas,
and the third qualification image screening module is used for identifying resources according to the qualification file elements and the corresponding file validity and eliminating the preset qualification images which do not meet the preset file validity conditions.
14. The apparatus of any one of claims 8-13, further comprising:
the first sampling module is used for sampling from the approved application form in the preset time period according to the positive sampling proportion to obtain an approved application form sample;
the second sampling module is used for sampling from the application form which is not approved within the preset time period according to a negative sampling proportion to obtain a sample of the application form which is not approved;
the sample rechecking module is used for providing the examination and approval passing application form sample and the examination and approval failing application form sample to an administrator for manual rechecking;
and the parameter adjusting module is used for adjusting the preset parameters in the qualification approval according to the manual rechecking result fed back by the administrator.
15. A qualification approval apparatus, comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the qualification approval method of any of claims 1-7.
16. A storage medium containing computer-executable instructions for performing the qualification approval method of any one of claims 1-7 when executed by a computer processor.
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| CN202110517566.1A CN113159732A (en) | 2021-05-12 | 2021-05-12 | Qualification approval method, device, equipment and storage medium |
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