CN113313095B - User information matching method and device, computer equipment and storage medium - Google Patents
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Abstract
The application relates to a user information matching method, a user information matching device, computer equipment and a storage medium. The method comprises the following steps: receiving the uploaded user information table and image information; identifying the image information through a character identification technology to obtain user information to be matched; matching the user information to be matched with standard user information in the user information table; and when the user information to be matched is not completely matched with the standard user information, calculating the matching degree of the user information to be matched and the standard user information and outputting the image information corresponding to the user information to be matched and the record of the standard user information of which the matching degree meets the requirement. The method can improve the matching efficiency.
Description
Technical Field
The present application relates to the field of artificial intelligence technologies, and in particular, to a user information matching method, apparatus, computer device, and storage medium.
Background
OCR refers to a process of scanning text data and then analyzing image files to obtain text and layout information.
In the conventional technology, in some service scenarios, the collected information of the user and the image information of the corresponding identity card need to be associated, but the association in the conventional technology is performed manually.
However, the current manual association method uploads the image information of the identification cards one by one and associates the image information, which is inefficient.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a user information matching method, device, computer device and storage medium capable of improving efficiency.
A method of user information matching, the method comprising:
receiving the uploaded user information table and image information;
identifying the image information through a character identification technology to obtain user information to be matched;
matching the user information to be matched with standard user information in the user information table;
when the user information to be matched is not completely matched with the standard user information, calculating the matching degree of the user information to be matched and the standard user information;
and outputting the image information corresponding to the user information to be matched and the record of the standard user information with the matching degree meeting the requirement.
In one embodiment, after the outputting the record of the image information corresponding to the user information to be matched and the standard user information with the matching degree meeting the requirement, the method includes:
receiving an input matching instruction aiming at the image information corresponding to the user information to be matched and the selected standard user information;
establishing a matching relation between the image information corresponding to the user information to be matched and the selected standard user information according to the matching instruction;
and acquiring the currently matched standard user information, and screening the standard user information of which the matching degree in the output record meets the requirement according to the currently matched standard user information.
In one embodiment, the method further comprises:
when the standard user information which is not successfully matched is not matched with the image information, receiving an input parameter query instruction;
inquiring the successfully matched standard user information according to the parameter inquiry instruction;
and when the successfully matched standard user information is matched with the image information, disconnecting the matching relation corresponding to the successfully matched standard user information and reestablishing the disconnected matching relation between the successfully matched standard user information and the image information.
In one embodiment, the standard user information comprises a name and an identification number; the calculating the matching degree of the user information to be matched and the standard user information comprises:
and calculating the matching degree of the user information to be matched and the standard user information according to the matching digits of the name and the identity card number.
In one embodiment, the outputting the record of the image information corresponding to the user information to be matched and the standard user information with the matching degree meeting the requirement includes:
sorting the standard user information with the matching degree meeting the requirement according to the matching degree from big to small;
generating a record according to the image information corresponding to the user information to be matched and the sorted standard user information;
and outputting the record.
In one embodiment, after the image information is identified by the character recognition technology to obtain the user information to be matched, the method further includes:
acquiring the identified valid period and/or the last bit of the identity card;
and calculating the identification measurement index of the image information according to the valid period and/or the last bit of the identity card obtained by identification.
In one embodiment, after the image information is identified by the character recognition technology to obtain the user information to be matched, the method further includes:
acquiring the last digit of the identified identity card;
and checking whether the identity card is correctly identified according to the last bit.
In one embodiment, the method further comprises:
acquiring the established matching relation;
and acquiring the identification measurement indexes of the image information in each matching relation, and selecting the matching relation with which the identification measurement indexes meet the requirements for quality inspection.
In one embodiment, after the matching the user information to be matched with the standard user information in the user information table, the method further includes:
and when the user information to be matched is matched with the standard user information in the user information table, establishing the corresponding relation between the image information corresponding to the user information to be matched and the standard user information in the user information table.
A user information matching apparatus, the apparatus comprising:
the receiving module is used for receiving the uploaded user information list and the uploaded image information;
the identification module is used for identifying the image information through a character identification technology to obtain user information to be matched;
the matching module is used for matching the user information to be matched with the standard user information in the user information table;
the matching degree calculation module is used for calculating the matching degree of the user information to be matched and the standard user information when the user information to be matched and the standard user information are not completely matched;
and the output module is used for outputting the image information corresponding to the user information to be matched and the record of the standard user information with the matching degree meeting the requirement.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method in any of the above embodiments when the processor executes the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method in any of the above-mentioned embodiments.
According to the user information matching method, the user information matching device, the computer equipment and the storage medium, the user information to be matched is obtained through the character recognition technology, so that the user information to be matched is matched with the standard user information, and when the user information to be matched is not completely matched, the image information corresponding to the user information to be matched and the record of the standard user information with the matching degree meeting the requirement are output according to the matching degree so as to be used for manual matching, so that the number of manual matching is greatly reduced, and the matching efficiency is improved.
Drawings
FIG. 1 is a diagram of an exemplary environment in which a user information matching method may be implemented;
FIG. 2 is a flowchart illustrating a method for matching user information according to an embodiment;
FIG. 3 is a schematic illustration of a record output in one embodiment;
FIG. 4 is a flow diagram of manual matching in one embodiment;
FIG. 5 is a block diagram showing the structure of a user information matching apparatus according to an embodiment;
FIG. 6 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The user information matching method provided by the application can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The terminal 102 may upload the user information table and the image information to the server 104, and optionally the image information may be image information obtained by batch scanning, so that the server 104 identifies the image information by a character recognition technology to obtain user information to be matched, matches the user information to be matched with standard user information in the user information table, if the matching is successful, directly establishes a matching relationship between the corresponding image information and the standard user information, if the matching is not complete, calculates a matching degree, and further the server outputs the image information corresponding to the user information to be matched and a record of the standard user information with the matching degree meeting requirements, so that the user information to be matched is obtained by the character recognition technology, so that the user information to be matched is matched with the standard user information, and when the matching is not complete, outputs the image information corresponding to the user information to be matched and the standard user information with the matching degree meeting requirements according to the matching degree And recording is carried out for manual matching, so that the number of manual matching is greatly reduced, and the matching efficiency is improved.
The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, a user information matching method is provided, which is described by taking the method as an example applied to the server in fig. 1, and includes the following steps:
s202: and receiving the uploaded user information list and image information.
Specifically, the user information table is a staff detail table uploaded by the user, and may be in an excel format, where the user information table records information such as names, certificate numbers, and the like of each user, for example, in a pending payment service of an enterprise annuity service, when an organization operator accepts a batch application of a pending payment of an enterprise, the organization operator needs to upload an application detail table (including basic information such as names, certificate numbers, and the like) of the user, and also needs to manually scan and upload image pieces such as identification cards of the staff, and establish a relationship between the image pieces and the staff, so as to facilitate the general company operator to perform material review on a per-person basis. The uploaded application detail list is the user information list. The image information is the copy of the credentials of the person provided by the operator who scans the customer in batches through the scanner. The terminal compresses and packages the personnel certificate scanning pieces scanned in batch, and uploads the compressed file to the server.
After receiving the uploaded user information table and image information, the server can analyze the user information table and record the analyzed application data, namely the standard user information in the following text, in the system. The server can decompress the uploaded compressed file to obtain a plurality of image information, so as to facilitate subsequent processing.
S204: and identifying the image information by a character identification technology to obtain the information of the user to be matched.
Specifically, the character recognition technology may be an OCR image recognition technology, which has a certain accuracy. Therefore, the image information can be identified through the character identification technology to obtain the information of the user to be matched.
Optionally, the server may recognize the image information in a multi-thread parallel manner, and specifically, the server may determine the number of opened threads according to the number of the uploaded image information, for example, set the maximum processable number of the image information of each thread, and then calculate the number of threads to be opened according to the number of the uploaded image information and the maximum processable number of the image information of each thread, so as to uniformly distribute the uploaded image information to the opened threads, thereby improving the processing efficiency.
S206: and matching the user information to be matched with the standard user information in the user information table.
Specifically, the server matches the user information to be matched with the standard user information in the user information table, which may be sequentially reading each parameter in the user information to be matched, and then sequentially matching each parameter with the standard user information. Specifically, the server firstly obtains the name and the identification number in the user information to be matched, then the name is sequentially or parallelly matched with the name in the standard user information in the user information table, if the matching fails, outputting the unmatched result, if the matching is successful, continuing to match the identity card number in the user information to be matched with the identity card number in the standard user information in the user information table sequentially or in parallel, wherein, it should be noted that the matching of the identification card number can be performed in sequence according to the number of digits of the identification card, for example, the matching is performed according to the first digit to reduce a part of standard user information, and then matching according to the second bit, wherein if all the bits are successfully matched, the matching is successful, and if at least one bit fails to be matched, the matching is failed.
S208: and when the user information to be matched is not completely matched with the standard user information, calculating the matching degree of the user information to be matched and the standard user information.
Specifically, the matching degree here is obtained by fuzzy matching the user information to be matched with the standard user information by the server, that is, when the user information to be matched is not completely matched with the standard user information, fuzzy matching is performed, so as to calculate the matching degree according to the parameter of successful matching.
Specifically, the matching degree may be calculated according to a preset rule, for example, the user information to be matched may be classified, then a ratio of successful parameter matching in each classification is calculated, and finally the matching degree is calculated according to the weight of each classification and the ratio. For example, when the user information to be matched includes a name and an identification number, the weight of the name and the identification number is 0.5, in other embodiments, other values may be set, the matching degree of the name is calculated according to the number of successful matching of the number of words in the name, the matching degree of the identification number is calculated according to the number of successful matching of the number of words in the identification number, and the final matching degree is calculated according to each matching degree and the corresponding weight.
S210: and outputting the image information corresponding to the user information to be matched and the record of the standard user information with the matching degree meeting the requirement.
Specifically, the matching degree meeting the requirement refers to selecting the front preset number or the matching degree with the matching degree larger than the threshold value after sorting the matching degrees from large to small.
The server may sort the standard user information whose matching degree with the user information to be matched meets the requirement from large to small according to the matching degree, and then generate and output a record of the image information corresponding to the user information to be matched and the standard user information whose matching degree meets the requirement, which may be specifically shown in fig. 3. So that subsequent users can proceed with the process according to the record.
After matching the user information to be matched with the standard user information in the user information table, the method further comprises the following steps: and when the user information to be matched is matched with the standard user information in the user information table, establishing the corresponding relation between the image information corresponding to the user information to be matched and the standard user information in the user information table. The matching here means complete matching, and as the name and the identification number are completely matched as above, the corresponding relationship between the image information corresponding to the user information to be matched and the standard user information in the user information table can be directly established, so that the processing load of the user can be reduced.
It should be noted that, in this embodiment, in order to reduce the amount of data in the output record, the server deletes the standard user information that has established the matching relationship from the record, so that the amount of subsequent manual processing can be reduced.
It should be noted that, in the server processing, a multithread processing mode may be adopted, the matching is performed in the first thread, the user information to be matched that fails in matching is placed in the image list to be processed, and in the second thread, the user information to be matched may be output, so that the user can perform manual processing in real time.
According to the user information matching method, the user information to be matched is obtained through the character recognition technology, so that the user information to be matched is matched with the standard user information, when the user information to be matched is not completely matched, the image information corresponding to the user information to be matched and the record of the standard user information with the matching degree meeting the requirements are output according to the matching degree, the image information and the record of the standard user information are used for manual matching, the number of manual matching is greatly reduced, and the matching efficiency is improved.
In one embodiment, referring to fig. 4, fig. 4 is a flowchart of manual matching in an embodiment, where after step S210, that is, after outputting the record of the image information corresponding to the user information to be matched and the standard user information whose matching degree meets the requirement, the method includes:
s402: and receiving an input matching instruction aiming at the image information corresponding to the user information to be matched and the selected standard user information.
Specifically, the matching instruction is input by the user, and specifically, as shown in fig. 3, one record output by the matching instruction includes one image information and a plurality of corresponding standard user information, and the standard user information is sorted according to the matching degree from the largest to the smallest, so that the user can check the standard user information sequentially according to the order when matching, so as to determine the corresponding standard user information.
S404: and establishing a matching relation between the image information corresponding to the user information to be matched and the selected standard user information according to the matching instruction.
Specifically, as shown in fig. 3, the user selects the first standard user information, so that the server establishes a matching relationship according to the first standard user information selected by the user and the image information corresponding to the user information to be matched.
S406: and acquiring the currently matched standard user information, and screening the standard user information of which the matching degree in the output record meets the requirement according to the currently matched standard user information.
After the matching relationship is established successfully, the server updates the subsequent records needing manual matching, specifically, the server acquires the current matched standard user information, and deletes the current matched standard user information from the subsequent records, so that the subsequent users further reduce the number of the standard user information needing to be checked when performing manual processing, further reduce the workload and improve the processing efficiency.
In one embodiment, the standard user information includes a name and an identification number; calculating the matching degree of the user information to be matched and the standard user information, wherein the matching degree comprises the following steps: and calculating the matching degree of the user information to be matched and the standard user information according to the matching digits of the name and the identity card number.
Specifically, in practical application, names that are the same or certificate numbers that are inconsistent within 3 digits are considered as suspected matching records, that is, standard user information with matching degrees meeting requirements is preferentially provided for manual matching of operators. By the scoring system, the score > =50 points, which are all considered as standard user information with matching degree meeting the requirement.
See in particular the following table, in this example the degree of match is characterized by a score:
the server matches the name in the user information to be matched with the standard user information, if the matching is successful, the score is obtained 50, then the identity card number is continuously matched to obtain the matching score of the identity card number, and finally the two scores are added to obtain the final score. In other embodiments, the weights of the respective classifications may also be set, and the final matching score, that is, the matching degree, is calculated by the score and the weights.
Preferably, when the certificate number comparison is performed, if the numbers which are not successfully matched correspond to the confusable whole columns, for example, one is 2 and the other is 3, the score can be increased, for example, 2 is added, so as to obtain the score of the identity card.
The matching degree calculation method provided in the above embodiment can accurately calculate the matching degree by classification.
In one embodiment, outputting the image information corresponding to the user information to be matched and the record of the standard user information with the matching degree meeting the requirement includes: sorting the standard user information with the matching degree meeting the requirement according to the matching degree from big to small; generating a record according to the image information corresponding to the user information to be matched and the sorted standard user information; and outputting the record.
Specifically, referring to fig. 3, each record includes a plurality of standard user information whose matching degrees meet the requirement, so that the user can conveniently check the standard user information, the server sorts the standard user information according to the matching degrees from large to small, associates the corresponding image information with the sorted standard user information to generate a record, and outputs the record, for example, to a to-be-processed queue corresponding to another thread, so that the other thread outputs the record in the to-be-processed queue. Optionally, in order to improve processing efficiency, the server may further sort the matching degrees in the output records, for example, obtain a maximum value of the matching degree in each record, then sort according to the maximum values, and further output the sorted maximum values to the user according to a sequence after the maximum values are sorted, so that the user performs manual processing, thus the user with high matching degree is processed first, the remaining records are filtered according to the result of the user processing, and finally the amount of manual processing by the remaining user is less.
In other embodiments, the standard user information is sorted according to the matching degree, or the terminal receives other parameters, such as names, entered by the user, searches for the standard user information through the names, and then performs matching, so as to prevent that all the obtained standard user information with the matching degree meeting the requirement are failed to be matched.
In the above embodiment, the image of the incompletely matched person is displayed in the list of the certificates to be matched, and the operator can manually match the certificates one by one. The system performs reverse order arrangement according to the scores of the image pieces, and the persons with high scores are listed at the front and the persons with low scores are listed at the back.
Specifically, through OCR technique, discern the certificate image, can effectively improve image scanning, upload, the efficiency of matching personnel's information. The success rate of OCR recognizing scanned copies of a document is around 75%, and for example, 300 people automatically recognized 225 matches, and 75 people remain to be matched. In the worst case, the user needs to browse 75+74+73+. +4+3+2+1=2850 times, and the efficiency is improved by (1-2850/45150) = 93.69%.
In addition, aiming at the image pieces which cannot be matched with the personnel completely, the efficiency of manual matching can be improved through a grading and sorting algorithm. After the match is automatically identified by OCR, 75 pieces remain to be matched manually, for example, 300. According to the scoring algorithm, the proportion of the image part scoring more than 50 exceeds 80%, and the operator can very easily select the correct person from the top several persons. 75 x 0.8=60 images, which can be matched to the corresponding person quickly. The remaining 15 images need to be manually identified from 15 persons for matching, and because the number of the remaining persons is small, the difficulty of manual matching is low, and the time consumption of each matching is linearly reduced. Assuming that the single time spent on image-by-list and image-by-list is the same, the equivalent number of times 75 images are matched by the scoring, ranking algorithm is 60 × 3+15+14+ 13.. 4+3+2+1= 300. The matching efficiency is improved by (1-300/45150) = 99.34%.
In one embodiment, when the standard user information which is not successfully matched is not matched with the image information, an input parameter query instruction is received; inquiring the successfully matched standard user information according to the parameter inquiry instruction; and when the successfully matched standard user information is matched with the image information, disconnecting the matching relation corresponding to the successfully matched standard user information and reestablishing the disconnected matching relation between the successfully matched standard user information and the image information.
Specifically, if the remaining image pieces do not find information in the unmatched standard user information, it is likely that there is a mismatch in the manual matching. Therefore, the server can increase the inquiry of successfully matched standard user information, input the name of the person of the image piece, search the matched standard user information, check whether the matched influence piece of the standard user information is correct if the matched standard user information can be found, and disconnect the matching relation between the image information and the standard user information if the matched standard user information is incorrect, and put the image information into the pool to be matched again. If the image is correct, whether the image is a repeated image is judged, if the image is repeated, only one image piece is reserved, and if the image is not repeated but is a certificate material different from a person, the current image piece is matched with the person. In one embodiment, after the image information is identified by the character recognition technology to obtain the user information to be matched, the method further includes: acquiring the identified valid period and/or the last bit of the identity card; and calculating the identification measurement index of the image information according to the valid period and/or the last bit of the identity card obtained by identification.
In one embodiment, after the image information is identified by a character identification technology to obtain the user information to be matched, the method further includes: acquiring the identified valid period; and calculating the interval of the valid period, and judging whether the information of the user to be matched is correctly identified according to the interval of the valid period.
In this embodiment, the validity period of the identification card is of four types, 5 years, 10 years, 20 years and long. In the case where there is a recognition error at the time of OCR recognition, the validity period is judged to be correct by verifying whether or not the interval of the validity period up to the time-validity period start time is not legal, for example, whether or not the calculated interval is 5, 10, 20 and long, and if so, it is correct.
In this embodiment, the scanning accuracy of the validity period of the identification card affects compliance review of the payment application, and by adding an algorithm, the validity period identification error is identified, and the compliance risk is reduced.
In one embodiment, after the image information is identified by a character identification technology to obtain the user information to be matched, the method further includes: acquiring the last digit of the identified identity card; and checking whether the identity card is correctly identified according to the last bit.
The last bit of the identity card is a check code. When OCR identifies the ID card number, an error exists, and whether the ID card number is correct or not can be judged through an ID card check bit algorithm.
In the embodiment, the error rate of the identification card number OCR identification exists, the identification error rate of the identification card is identified by adding a check bit algorithm, manual rechecking is added, and the compliance risk is reduced.
The method further comprises the following steps: acquiring the established matching relation; and acquiring the identification measurement indexes of the image information in each matching relation, and selecting the matching relation with which the identification measurement indexes meet the requirements for quality inspection. In one embodiment, due to the information of manual matching, there may be an error, and after the matching is completed, the server requires manual reconfirmation on of the matching list meeting the conditions according to a preset rule, specifically, the server may output a matching relationship in which the score > =50 of the image, but the matching relationship is different from the name and the identity card of the matched person and the name or the identity card identified by the image, so as to reconfirm the matching relationship.
It should be understood that although the steps in the flowcharts of fig. 2 and 4 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2 and 4 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 5, there is provided a user information matching apparatus including: a first receiving module 100, a recognition module 200, a matching module 300, a matching degree calculation module 400 and an output module 500, wherein:
a first receiving module 100, configured to receive the uploaded user information table and image information;
the identification module 200 is used for identifying the image information through a character identification technology to obtain user information to be matched;
the matching module 300 is used for matching the user information to be matched with the standard user information in the user information table;
the matching degree calculating module 400 is used for calculating the matching degree of the user information to be matched and the standard user information when the user information to be matched and the standard user information are not completely matched;
and the output module 500 is configured to output the image information corresponding to the user information to be matched and the record of the standard user information with the matching degree meeting the requirement.
In one embodiment, the user information matching apparatus further includes:
the second receiving module is used for receiving an input matching instruction aiming at the image information corresponding to the user information to be matched and the selected standard user information;
the matching relation establishing module is used for establishing the matching relation between the image information corresponding to the user information to be matched and the selected standard user information according to the matching instruction;
and the screening module is used for acquiring the currently matched standard user information and screening the standard user information of which the matching degree in the output record meets the requirement according to the currently matched standard user information.
In one embodiment, the user information matching apparatus further includes:
the query instruction receiving module is used for receiving an input parameter query instruction when the standard user information which is not successfully matched is not matched with the image information;
the query module is used for querying the successfully matched standard user information according to the parameter query instruction;
and the re-matching module is used for disconnecting the matching relation corresponding to the successfully matched standard user information and reestablishing the disconnected matching relation between the successfully matched standard user information and the image information when the successfully matched standard user information is matched with the image information.
In one embodiment, the standard user information includes a name and an identification number; the matching degree calculating module 400 is further configured to calculate a matching degree between the user information to be matched and the standard user information according to the matching digits of the name and the identification number.
In one embodiment, the output module 500 includes:
the sorting unit is used for sorting the standard user information with the matching degree meeting the requirement according to the matching degree from big to small;
the generating unit is used for generating records according to the image information corresponding to the user information to be matched and the sorted standard user information;
an output unit for outputting the record.
In one embodiment, the user information matching apparatus further includes:
the identification module is used for acquiring the valid period and/or the last bit of the identity card obtained by identification;
and the first judgment module is used for calculating the identification measurement index of the image information according to the valid period and/or the last bit of the identity card obtained by identification.
In one embodiment, the user information matching apparatus further includes:
a matching relation obtaining module for obtaining the established matching relation;
and the quality inspection module is used for acquiring the identification measurement indexes of the image information in each matching relation and selecting the matching relation of which the identification measurement indexes meet the requirements for quality inspection.
In one embodiment, the user information matching apparatus further includes:
and the corresponding relation establishing module is used for establishing the corresponding relation between the image information corresponding to the user information to be matched and the standard user information in the user information table when the user information to be matched is matched with the standard user information in the user information table.
For the specific definition of the user information matching device, reference may be made to the above definition of the user information matching method, which is not described herein again. The modules in the user information matching device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 6. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing user information tables and image information. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a user information matching method.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program: receiving the uploaded user information table and image information; identifying the image information by a character identification technology to obtain user information to be matched; matching the user information to be matched with the standard user information in the user information table; when the user information to be matched is not completely matched with the standard user information, calculating the matching degree of the user information to be matched and the standard user information; and outputting the image information corresponding to the user information to be matched and the record of the standard user information with the matching degree meeting the requirement.
In one embodiment, outputting the image information corresponding to the user information to be matched and the record of the standard user information with the matching degree meeting the requirement when the processor executes the computer program comprises: receiving an input matching instruction aiming at the image information corresponding to the user information to be matched and the selected standard user information; establishing a matching relation between the image information corresponding to the user information to be matched and the selected standard user information according to the matching instruction; and acquiring the currently matched standard user information, and screening the standard user information of which the matching degree in the output record meets the requirement according to the currently matched standard user information.
In one embodiment, when standard user information which is not successfully matched is not matched with the image information, the processor receives an input parameter query instruction; inquiring the successfully matched standard user information according to the parameter inquiry instruction; and when the successfully matched standard user information is matched with the image information, disconnecting the matching relation corresponding to the successfully matched standard user information and reestablishing the disconnected matching relation between the successfully matched standard user information and the image information.
In one embodiment, the standard user information involved in the execution of the computer program by the processor includes a name and an identification number; the calculation of the matching degree between the user information to be matched and the standard user information, which is realized when the processor executes the computer program, comprises the following steps: and calculating the matching degree of the user information to be matched and the standard user information according to the matching digits of the name and the identity card number.
In one embodiment, the recording of the image information corresponding to the user information to be matched and the standard user information with the matching degree meeting the requirement, which is realized when the processor executes the computer program, includes: sorting the standard user information with the matching degree meeting the requirement according to the matching degree from big to small; generating a record according to the image information corresponding to the user information to be matched and the sorted standard user information; and outputting the record.
In one embodiment, after the processor identifies the image information by a character recognition technology to obtain the user information to be matched when executing the computer program, the method further includes: acquiring the identified valid period and/or the last bit of the identity card; and calculating the identification measurement index of the image information according to the valid period and/or the last bit of the identity card obtained by identification.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring the established matching relation; and acquiring the identification measurement indexes of the image information in each matching relation, and selecting the matching relation with which the identification measurement indexes meet the requirements for quality inspection.
In one embodiment, after the matching of the user information to be matched with the standard user information in the user information table is implemented when the processor executes the computer program, the method further includes: and when the user information to be matched is matched with the standard user information in the user information table, establishing the corresponding relation between the image information corresponding to the user information to be matched and the standard user information in the user information table.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: receiving the uploaded user information table and image information; identifying the image information by a character identification technology to obtain user information to be matched; matching the user information to be matched with the standard user information in the user information table; when the user information to be matched is not completely matched with the standard user information, calculating the matching degree of the user information to be matched and the standard user information; and outputting the image information corresponding to the user information to be matched and the record of the standard user information with the matching degree meeting the requirement.
In one embodiment, after outputting the image information corresponding to the user information to be matched and the record of the standard user information with the matching degree meeting the requirement when the computer program is executed by the processor, the method includes: receiving an input matching instruction aiming at the image information corresponding to the user information to be matched and the selected standard user information; establishing a matching relation between the image information corresponding to the user information to be matched and the selected standard user information according to the matching instruction; and acquiring the currently matched standard user information, and screening the standard user information of which the matching degree in the output record meets the requirement according to the currently matched standard user information.
In one embodiment, when standard user information which is not successfully matched is not matched with the image information, the computer program is executed by a processor, and then an input parameter query instruction is received; inquiring the successfully matched standard user information according to the parameter inquiry instruction; and when the successfully matched standard user information is matched with the image information, disconnecting the matching relation corresponding to the successfully matched standard user information and reestablishing the disconnected matching relation between the successfully matched standard user information and the image information.
In one embodiment, the standard user information involved in the execution of the computer program by the processor includes a name and an identification number; the computer program is used for calculating the matching degree of the user information to be matched and the standard user information when being executed by the processor, and comprises the following steps: and calculating the matching degree of the user information to be matched and the standard user information according to the matching digits of the name and the identity card number.
In one embodiment, the recording of the image information corresponding to the user information to be matched and the standard user information with the matching degree meeting the requirement, which is realized when the computer program is executed by the processor, comprises: sorting the standard user information with the matching degree meeting the requirement according to the matching degree from big to small; generating a record according to the image information corresponding to the user information to be matched and the sorted standard user information; and outputting the record.
In one embodiment, after the computer program is executed by a processor to recognize image information by a character recognition technology to obtain user information to be matched, the method further includes: acquiring the identified valid period; calculating the interval of the valid period and/or the last bit of the identity card; and calculating the identification measurement index of the image information according to the valid period and/or the last bit of the identity card obtained by identification.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring the established matching relation; and acquiring the identification measurement indexes of the image information in each matching relation, and selecting the matching relation with which the identification measurement indexes meet the requirements for quality inspection.
In one embodiment, after the matching of the user information to be matched with the standard user information in the user information table is performed by the computer program when executed by the processor, the method further includes: and when the user information to be matched is matched with the standard user information in the user information table, establishing the corresponding relation between the image information corresponding to the user information to be matched and the standard user information in the user information table.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A user information matching method is characterized by comprising the following steps:
receiving the uploaded user information table and image information; acquiring the number of started threads according to the number of uploaded image information, and uniformly distributing the uploaded image information to the started threads;
identifying the image information through a character identification technology to obtain user information to be matched;
matching the user information to be matched with standard user information in the user information table;
when the user information to be matched is not completely matched with the standard user information, calculating the matching degree of the user information to be matched and the standard user information, wherein the calculating step comprises the following steps: obtaining the classification of the user information to be matched, calculating the successful matching ratio of the parameters in each classification, and calculating the matching degree according to the weight of each classification and the corresponding ratio; wherein, calculating the successful matching ratio of the parameters in each classification comprises: when certificate numbers are compared, if the numbers which are unsuccessfully matched correspond to the easily confused array, increasing the ratio of successful parameter matching;
outputting the image information corresponding to the user information to be matched and the record of the standard user information with the matching degree meeting the requirement;
receiving an input matching instruction aiming at the image information corresponding to the user information to be matched and the selected standard user information;
establishing a matching relation between the image information corresponding to the user information to be matched and the selected standard user information according to the matching instruction;
obtaining currently matched standard user information, and screening the standard user information of which the matching degree in the output record meets the requirement according to the currently matched standard user information, wherein the screening comprises the following steps: deleting the standard user information with the matching relationship established from the unprocessed output record;
after the image information is identified through the character identification technology to obtain the user information to be matched, the method further comprises the following steps:
acquiring the identified valid period and/or the last bit of the identity card;
calculating to obtain an identification measurement index of the image information according to the valid period and/or the last bit of the identity card obtained by identification; or checking whether the identity card is correctly identified according to the last bit.
2. The method of claim 1, further comprising:
when the standard user information which is not successfully matched is not matched with the image information, receiving an input parameter query instruction;
inquiring the successfully matched standard user information according to the parameter inquiry instruction;
and when the successfully matched standard user information is matched with the image information, disconnecting the matching relation corresponding to the successfully matched standard user information and reestablishing the disconnected matching relation between the successfully matched standard user information and the image information.
3. The method of claim 1, wherein the standard user information includes a name and an identification number; the calculating the matching degree of the user information to be matched and the standard user information comprises:
and calculating the matching degree of the user information to be matched and the standard user information according to the matching digits of the name and the identity card number.
4. The method according to claim 1, wherein the outputting the record of the image information corresponding to the user information to be matched and the standard user information with the matching degree meeting the requirement comprises:
sorting the standard user information with the matching degree meeting the requirement according to the matching degree from big to small;
generating a record according to the image information corresponding to the user information to be matched and the sorted standard user information;
and outputting the record.
5. The method of claim 1, further comprising:
acquiring the established matching relation;
and acquiring the identification measurement indexes of the image information in each matching relation, and selecting the matching relation with which the identification measurement indexes meet the requirements for quality inspection.
6. The method according to any one of claims 1 to 3, wherein after matching the user information to be matched with the standard user information in the user information table, the method further comprises:
and when the user information to be matched is matched with the standard user information in the user information table, establishing the corresponding relation between the image information corresponding to the user information to be matched and the standard user information in the user information table.
7. A user information matching apparatus, characterized in that the apparatus comprises:
the first receiving module is used for receiving the uploaded user information list and the uploaded image information; acquiring the number of started threads according to the number of uploaded image information, and uniformly distributing the uploaded image information to the started threads;
the identification module is used for identifying the image information through a character identification technology to obtain user information to be matched;
the matching module is used for matching the user information to be matched with the standard user information in the user information table;
the matching degree calculating module is used for calculating the matching degree of the user information to be matched and the standard user information when the user information to be matched and the standard user information are not completely matched, and comprises the following steps: obtaining the classification of the user information to be matched, calculating the successful matching ratio of the parameters in each classification, and calculating the matching degree according to the weight of each classification and the corresponding ratio; wherein, calculating the successful matching ratio of the parameters in each classification comprises: when certificate numbers are compared, if the numbers which are unsuccessfully matched correspond to the easily confused array, increasing the ratio of successful parameter matching;
the output module is used for outputting the image information corresponding to the user information to be matched and the record of the standard user information with the matching degree meeting the requirement;
the second receiving module is used for receiving an input matching instruction aiming at the image information corresponding to the user information to be matched and the selected standard user information;
the matching relation establishing module is used for establishing the matching relation between the image information corresponding to the user information to be matched and the selected standard user information according to the matching instruction;
the screening module is used for acquiring the currently matched standard user information and screening the standard user information with the matching degree meeting the requirements in the output records according to the currently matched standard user information, and comprises the following steps: deleting the standard user information with the matching relationship established from the unprocessed output record;
the identification module is used for acquiring the valid period and/or the last bit of the identity card obtained by identification;
the first judgment module is used for calculating to obtain an identification measurement index of the image information according to the valid period and/or the last bit of the identity card obtained by identification; or checking whether the identity card is correctly identified according to the last bit.
8. The apparatus of claim 7, further comprising:
the query instruction receiving module is used for receiving an input parameter query instruction when the standard user information which is not successfully matched is not matched with the image information;
the query module is used for querying the successfully matched standard user information according to the parameter query instruction;
and the re-matching module is used for disconnecting the matching relation corresponding to the successfully matched standard user information and reestablishing the disconnected matching relation between the successfully matched standard user information and the image information when the successfully matched standard user information is matched with the image information.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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