CN110674847A - Card classification storage method and device, computer equipment and storage medium - Google Patents
Card classification storage method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to the field of big data processing, in particular to a card classification storage method and device, computer equipment and a storage medium. The method comprises the following steps: receiving a card storage instruction sent by a terminal, wherein the card storage instruction carries a card image; carrying out optical character recognition on the card image to obtain card recognition information; inputting the card identification information into a trained card classification model to obtain a card classification result associated with the card identification information; acquiring a data desensitization algorithm corresponding to the card classification result, and performing desensitization processing on the card identification information through the data desensitization algorithm; and storing the card identification information subjected to desensitization treatment into a card classification corresponding to the card classification result. By adopting the method, the card recording efficiency can be improved.
Description
Technical Field
The present application relates to the field of artificial intelligence technologies, and in particular, to a method and an apparatus for sorting and storing cards, a computer device, and a storage medium.
Background
With the rapid development of the computer technology field, people can contact a large number of physical cards, such as identity cards, bank cards and the like, in daily life.
Because the entity cards owned by each person are different in type and quantity, in different application scenes, people are required to provide information of different entity cards and input the card information into computer equipment, and the computer equipment stores the corresponding card information into corresponding classifications through the control of users, so that the subsequent auditing or use and the like are facilitated. However, such operations are slow, resulting in a large amount of waiting time being required, and also a large number of card classifications have to be queried before entry to determine the classification of the card to be entered, resulting in inefficient entry.
Disclosure of Invention
In view of the above, it is desirable to provide a card sorting and saving method, a card sorting and saving device, a computer device, and a storage medium, which can improve card recording efficiency.
A card classification saving method comprises the following steps:
receiving a card storage instruction sent by a terminal, wherein the card storage instruction carries a card image;
carrying out optical character recognition on the card image to obtain card recognition information;
inputting the card identification information into a trained card classification model to obtain a card classification result associated with the card identification information;
acquiring a data desensitization algorithm corresponding to the card classification result, and performing desensitization processing on the card identification information through the data desensitization algorithm;
and storing the card identification information subjected to desensitization treatment into a card classification corresponding to the card classification result.
In one embodiment, the card identification information includes at least one field information; the inputting the card identification information into a trained card classification model to obtain a card classification result associated with the card identification information includes:
obtaining each card template in the trained card classification model;
when the coincidence rate of the field information in the card identification information and the standard field information in the card template is greater than a preset threshold value, obtaining a card classification result corresponding to the card template;
and associating the card identification information with the card classification result, and outputting the card classification result associated with the card identification information.
In one embodiment, the method further comprises:
when the coincidence rate of the field information in the card identification information and the standard field information in each card template is not greater than a preset threshold value, sending the card classification result corresponding to each card module and the coincidence rate corresponding to each card template to the terminal;
obtaining a card classification result selected by the terminal;
and associating the card identification information with the card classification result selected by the terminal, and outputting the card classification result associated with the card identification information.
In one embodiment, after outputting the card classification result associated with the card identification information, the method further includes:
when the number of the card classification results is at least two, the card classification results are sent to the terminal;
obtaining a card classification result selected by the terminal;
and associating the card identification information with the card classification result selected by the terminal, and outputting the card classification result associated with the card identification information.
In one embodiment, after outputting the card classification result associated with the card identification information, the method further includes:
when the number of the card classification results is at least two, obtaining stored card identification information corresponding to the card classification results;
comparing the card identification information with the stored card identification information to obtain similarity;
and when the similarity reaches a preset similarity, acquiring a card classification corresponding to the stored card identification information as a card classification result of the card identification information.
In one embodiment, the storing the card identification information after the desensitization processing into the card classification corresponding to the card classification result includes:
receiving standard biological characteristic information sent by the terminal, and generating a card opening authority according to the standard biological characteristic information;
and storing the card opening authority and the card identification information subjected to desensitization treatment into a card classification corresponding to the card classification result.
In one embodiment, the method further comprises:
receiving a card opening instruction sent by the terminal, wherein the card opening instruction carries current biological characteristic information;
acquiring the matching rate of the current biological characteristic information and the standard biological characteristic information;
when the matching rate reaches a preset value, configuring the card opening authority to be opened, and acquiring a decryption algorithm corresponding to the card identification information subjected to desensitization processing;
decrypting the card identification information subjected to desensitization processing through the decryption algorithm to obtain card identification information;
and sending the card identification information obtained by decryption to the terminal.
A card classification saving apparatus, the apparatus comprising:
the first receiving module is used for receiving a card storage instruction sent by a terminal, and the card storage instruction carries a card image;
the identification module is used for carrying out optical character identification on the card image to obtain card identification information;
the classification module is used for inputting the card identification information into a trained card classification model to obtain a card classification result associated with the card identification information;
the desensitization module is used for acquiring a data desensitization algorithm corresponding to the card classification result and desensitizing the card identification information through the data desensitization algorithm;
and the storage module is used for storing the card identification information subjected to desensitization treatment into the card classification corresponding to the card classification result.
A computer device comprising a memory storing a computer program and a processor implementing the steps of any of the methods described above 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 of any of the above.
According to the card classification storage method, the card classification storage device, the computer equipment and the storage medium, the card information is obtained by carrying out optical character recognition on the card image, then the card classification result is obtained according to the card classification model, data desensitization processing is carried out on the card identification information, the cards can be conveniently and safely classified and stored, manual entry is not needed, and the entry efficiency can be improved.
Drawings
FIG. 1 is a diagram illustrating an exemplary embodiment of a card classification storage method;
FIG. 2 is a flowchart illustrating a card classification saving method according to an embodiment;
FIG. 3 is a flowchart illustrating a card classification result obtaining step according to an embodiment;
FIG. 4 is a flowchart illustrating a card classification result obtaining step according to another embodiment;
FIG. 5 is a block diagram showing the structure of a card sorting and holding 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 card classification storage 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. Wherein, the user can send the card image to the server 104 through the terminal 102, the server 104 can carry out optical character recognition on the card image after receiving the card image to obtain card identification information, then the card identification information is input into a trained card classification model to obtain a card classification result associated with the card identification information, thereby obtaining card classification, for the sake of safety, the server 104 inquires a corresponding data desensitization algorithm according to the card classification result, carries out desensitization processing on the card identification information through the data desensitization algorithm, thereby storing the card identification information after the desensitization processing, so that firstly, people do not need to carry out manual classification on the card, the recording efficiency of the card identification information can be improved, and in daily life, people do not need to carry the entity cards with them, only need to inquire the corresponding card information, the use efficiency of the card 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 card classification saving method is provided, which is described by taking the application of the method to the server in fig. 1 as an example, and includes the following steps:
s202: and receiving a card storage instruction sent by the terminal, wherein the card storage instruction carries a card image.
Specifically, the card saving instruction is an instruction sent by the terminal to the server for requesting the server to save the card image. The cards include but are not limited to identification cards (second generation identification cards (including chinese identification cards and minority identification cards), hong kong identification cards, australian identification cards, taiwan identification cards and some foreign identification cards), bank cards (debit cards and credit cards), residence cards, business cards, electric charge cards, gas cards, bus cards, driving licenses, boarding passes, coupons, shopping cards, admission tickets, general cards and other types of cards. Card images include, but are not limited to, images of the cards described above. The card image acquisition mode may be that after the terminal receives a shooting instruction input by the user, the terminal starts a camera to shoot the card to obtain a card image. Optionally, the terminal may adjust the captured image when the camera is turned on to capture the card, for example, the terminal may identify a boundary of the card, and then cut the captured image according to the identified boundary to obtain a card image only including card information, so that the background may be deleted, thereby avoiding an error occurring during subsequent optical character recognition. Further, the terminal may be provided with a card management application, and the user may generate a card saving instruction by clicking a card saving button in the application, and the terminal may transmit the generated card saving instruction to the server. The card management application is an application for performing classification management on cards.
In one embodiment, the server can acquire the card images sent by the terminal in batch, so that the card images can be processed by a plurality of threads at the same time to achieve the purpose of batch classification and storage.
S204: and carrying out optical character recognition on the card image to obtain card recognition information.
Specifically, the card identification information refers to text content or image content on the card, that is, card information obtained by the server through performing optical character recognition on the card, for example, the card identification information corresponding to the identification card may include contents such as name, address, identification number, issuing authority, validity period, and the like.
Optical character recognition, i.e. OCR recognition, may mainly comprise the steps of: firstly, image preprocessing mainly comprises algorithms such as image binaryzation, noise removal, inclination correction and the like; secondly, analyzing the layout, which mainly comprises an algorithm of segmenting and dividing the document pictures into sections; thirdly, character cutting mainly comprises a character cutting algorithm and is used for mainly solving the problem that characters are difficult to cut simply due to character adhesion and broken pen; fourthly, extracting character features, which mainly comprises extracting multidimensional features from the character image for a subsequent feature matching pattern recognition algorithm; fifthly, character recognition, namely, carrying out template rough classification and template fine matching on the feature vector extracted from the current character and a feature template library, and recognizing the algorithm of the character; sixthly, the layout recovery mainly comprises the steps of identifying the typesetting of the original document, and outputting the identification result to the format documents such as word or pdf according to the original typesetting format; seventh, post-processing correction, i.e., correction of the recognition result according to the relation of a specific language context.
S206: and inputting the card identification information into the trained card classification model to obtain a card classification result associated with the card identification information.
Specifically, the card classification model refers to a model in which the server classifies the card images according to the card identification information, and the card classification model can judge according to the card identification information to obtain a corresponding card classification result. For example, for identification of an identity card, a standard identification template, for example, { "name", "address", "identity card number", "issuing authority" }, is stored in the card classification model, and when the coincidence rate of the card identification information and the keyword information in the standard identification template reaches a preset threshold, the server takes the card classification corresponding to the standard identification template with the coincidence rate reaching the preset threshold as the card classification result of the card image.
S208: and acquiring a data desensitization algorithm corresponding to the card classification result, and performing desensitization processing on the card identification information through the data desensitization algorithm.
In particular, data desensitization refers to data deformation performed on some sensitive information through desensitization rules, so that reliable protection of sensitive private data is achieved. Under the condition of relating to client security data or some business sensitive data, the real data is modified and provided for test use under the condition of not violating system rules, and data desensitization is required to be carried out on personal information such as identification numbers, mobile phone numbers, card numbers, client numbers and the like. By desensitizing the data of the card identification information, a malicious attacker can be ensured to be unable to associate the data with a specific user within a certain range, so that the privacy of the user data is ensured.
In practical application, different card identification information corresponds to different data desensitization algorithms, so that the desensitization mode can adapt to the card identification information, and the different desensitization modes ensure the safety of data. The server acquires a corresponding data desensitization algorithm according to the card classification result, and serializes information of the card through the data desensitization algorithm, such as shift operation, AND operation, or operation and the like, so that data is not transmitted in a real data form. The process of converting the card identification information into a form that can be stored or transmitted is called serialization processing, thereby further obtaining the encrypted card identification information.
S210: and storing the card identification information subjected to desensitization treatment into a card classification corresponding to the card classification result.
Specifically, the server stores the desensitized card identification information into the corresponding card classification, so that the card identification information is not displayed in a plaintext form, and the security is improved. For example, when the card classification result is a bank card, the server stores the encrypted card identification information into a classification of the bank card. When the database stores data, the results recognized by OCR corresponding to the card types are uniformly stored in a universal Object format of each card type, for example, the data format stored in the ID card is a JsonObject { "name": three "," address ": Shanghai city … …", "identification card number": 11111"," issuing authority ": XXX", and other card types also have a JSON Object format prepared in a uniform way; when in storage, the data is desensitized, and all the data are encrypted in order to ensure the information security of users. The server carries out optical character recognition on the card, acquires the card classification result corresponding to the card identification information again, carries out data desensitization processing on the card identification information, and can conveniently and safely classify and store the card.
Referring to fig. 3, in one embodiment, the server may determine to obtain the card classification result according to the logic of fig. 3, that is, the server may determine whether the card is an identification card through the card classification model, and if so, store the identification card through the data format of the identification card. If not, continuously judging whether the card is a bank card or not through the card classification model, if so, continuously judging whether the card is a credit card or not, if the identified card identification information contains the card number and the phonetic alphabet of the card name, judging that the card classification result is the credit card by the server, then judging which bank card belongs to according to the card Bin provided by the card number, and storing. When the card classification model judges that the card is not a bank card, whether the card is a residence permit is continuously judged, for example, whether the card identification information returned by the optical character recognition is possibly a template of a non-residence permit or not is judged, but whether the card classification result is the residence permit or not can be judged according to whether the card identification information obtained by the optical character recognition contains keywords of the residence permit or not, when the server judges that the card classification result is not the residence permit, the server can continuously judge whether the card is the travel permit or not according to the card classification model, if the card is the travel permit, storage is carried out according to the template of the travel permit, otherwise, the server can continuously judge whether the card is the driving permit or not according to the card classification model, and if the card is the driving permit, storage is carried out. And optionally, if the card identification information obtained by the server through optical character recognition does not judge the card classification result, the card image can be uniformly assigned to other card classifications for uniform management and storage.
According to the card classification storage method, the card information is obtained by carrying out optical character recognition on the card image, then the card classification result is obtained according to the card classification model, data desensitization processing is carried out on the card identification information, the card can be conveniently and safely classified and stored, manual entry is not needed, entry efficiency can be improved, a wallet and the like do not need to be found when the card is used, and the card use efficiency can be improved.
Specifically, referring to fig. 4, fig. 4 is a schematic flow chart of a step of obtaining a card classification result in another embodiment, in the card classification storage method, a card classification result is mainly required to be obtained, and the obtaining of the card classification result based on a card classification model will be described in detail below.
In one embodiment, the card identification information includes at least one field information; inputting the card identification information into the trained card classification model to obtain a card classification result associated with the card identification information, which may include: obtaining each card template in the trained card classification model; when the coincidence rate of the field information in the card identification information and the standard field information in the card template is greater than a preset threshold value, obtaining a card classification result corresponding to the card template; and associating the card identification information with the card classification result, and outputting the card classification result associated with the card identification information.
In one embodiment, the card classification result obtaining step may further include: when the coincidence rate of the field information in the card identification information and the standard field information in each card template is not greater than a preset threshold value, sending the card classification result corresponding to each card module and the coincidence rate corresponding to each card template to the terminal; obtaining a card classification result selected by the terminal according to the coincidence rate; and associating the card identification information with the card classification result selected by the terminal, and outputting the card classification result associated with the card identification information.
In one embodiment, the card classification result obtaining step may further include: when the number of the card classification results is at least two, the card classification results are sent to the terminal; obtaining a card classification result selected by a terminal; and associating the card identification information with the card classification result selected by the terminal, and outputting the card classification result associated with the card identification information.
In one embodiment, the card classification result obtaining step may further include: when the number of the card classification results is at least two, the stored card identification information corresponding to the card classification results is obtained; comparing the card identification information with the stored card identification information to obtain similarity; and when the similarity reaches the preset similarity, acquiring the card classification corresponding to the stored card identification information as a card classification result of the card identification information.
Specifically, referring to fig. 4, the card identification information includes at least one field information, which may refer to keyword information in the card. For example, when the card is an identification card, the field information may be "name": zhang san "," address ": shanghai city XXX", "identification card number": 11111"," issuing authority ": XXX". A plurality of card templates are prestored in a database of the server, each card template comprises at least one piece of standard field information, and the standard field information refers to keyword information prestored in the card template. When the coincidence rate of the field information in the card identification information and the standard field information in the card template reaches a preset threshold value, the server acquires a card classification result corresponding to the card template, associates the card identification information with the card classification result, and outputs the card classification result associated with the card identification information.
When the coincidence rate of the field information in the card identification information and the standard field information in each card template is not greater than the preset threshold value, the server sends the card classification result corresponding to each card template and the coincidence rate corresponding to each card template to the terminal so as to display the card classification result and the coincidence rate. Therefore, the user can select one of the card classification results according to the coincidence rate and send the selected card classification result to the server. The server receives the unique selection instruction for the card classification result sent by the terminal, then associates the card identification information with the card classification result corresponding to the unique selection instruction of the terminal, outputs the card classification result associated with the card identification information, and stores the encrypted card identification information into the card classification corresponding to the card classification result according to the unique selection instruction. For example, when the card classification result corresponding to the card template includes a bank card classification, an identity card classification and a residence certificate classification, the server sends the bank card classification, the identity card classification and the residence certificate classification, and the coincidence rate corresponding to the bank card template, the identity card template and the residence certificate template to the corresponding terminal for displaying, and when the bank card classification is selected by the terminal, the server stores the encrypted card identification information into the bank card holder corresponding to the bank card classification.
In addition, when the number of the card classification results is at least two, the card classification data corresponding to the card classification results is sent to the terminal, so that the terminal displays the card classification results; the server acquires a selection instruction sent by the terminal, wherein the selection instruction comprises a selected card classification result; save the card classification that corresponds with card classification result with encryption card identification information, include: and storing the encrypted card identification information into the card classification corresponding to the selected card classification result. The selection instruction refers to a selection instruction of a card classification result. When the number of the card templates reaching the preset threshold is at least two and the number of the corresponding card classification results is at least two, the server displays the two card classification results on the corresponding terminal and acquires a selection instruction sent by the terminal, the card classification result selected by the terminal is a target classification result, and the server stores the encrypted card identification information into the target classification corresponding to the target classification result. For example, when the card classification result is "debit card classification and credit card classification", the server displays the "debit card classification and credit card classification" on the terminal, and when the terminal selects the "debit card classification", the server stores the encrypted card identification information in the cardholder of the debit card.
In one embodiment, when the card classification results are at least two, the server can perform information comparison on the card identification information and other stored encrypted card identification information, wherein the comparison refers to comparison of the coincidence rate of the keyword information to obtain a comparison result, the encrypted card identification information of which the comparison result reaches a preset threshold value is obtained, the card classification result corresponding to the encrypted card identification information is obtained, the card identification information is stored in the card classification corresponding to the card classification result, and the server can further accurately divide the card identification information by using the card classification result of the encrypted card identification information of which the coincidence rate with the keyword information of the card identification information reaches the preset threshold value, so that the problem of correctly dividing the card identification information when the card classification results are at least two is solved.
In the embodiment, the cards are classified into the corresponding card classifications through the card classification model, so that the correctness of the classification result can be ensured, and the correctness of the card classification storage is ensured.
In one embodiment, storing the card identification information after the desensitization processing into the card classification corresponding to the card classification result may include: receiving standard biological characteristic information sent by a terminal, and generating a card opening authority according to the standard biological characteristic information; and storing the card opening authority and the card identification information subjected to desensitization treatment into a card classification corresponding to the card classification result.
In one embodiment, the card classification storage method may further include: receiving a card opening instruction sent by a terminal, wherein the card opening instruction carries current biological characteristic information; acquiring the matching rate of the current biological characteristic information and the standard biological characteristic information; when the matching rate reaches a preset value, configuring the card opening authority to be opened, and acquiring a decryption algorithm corresponding to the card identification information subjected to desensitization; decrypting the desensitized card identification information through a decryption algorithm to obtain card identification information; and sending the card identification information obtained by decryption to the terminal.
The card opening permission refers to the permission of whether the card identification information of the plaintext can be checked, in order to guarantee the card identification information, only the card owner can check the card identification information, and therefore the biological characteristic information of the card owner is set to be used as the verification of the card opening permission.
When the biological characteristic information is a face image, the face is input when the card identification information is classified and stored, and the safety of the card identification information is further guaranteed. The face feature information refers to face feature information of a user corresponding to a terminal for classified storage of the card, the card opening authority includes opening and closing, when the card opening authority is opening, the user can check the card identification information, and when the card opening authority is closing, the user cannot check the card identification information. The server stores the card opening authority and the encrypted card identification information in a card classification mode corresponding to the card classification result in an associated mode, the server generates the card opening authority according to the face feature information, information leakage is further prevented, and safety of card identification information classification storage is improved.
The method for setting the card opening authority by the server includes but is not limited to fingerprint identification, eye print identification, iris identification, voiceprint identification, retina identification and the like. For example, when the fingerprint identification is performed, the server receives user fingerprint information sent by the terminal, generates card opening authority according to the user fingerprint information, and stores the card opening authority and the encrypted card identification information in association with the card classification corresponding to the card classification result.
When the server has set up the card and has opened the authority, the user then needs to carry out the authority when using the card and verify, specifically can include: when the server acquires a card opening instruction, the card opening instruction carries current face feature information sent by the terminal; the server compares the current face characteristic information with the face characteristic information to obtain a comparison result; when the comparison result reaches a preset value, configuring the card opening authority to open, acquiring a decryption algorithm corresponding to the card identification information subjected to desensitization, and decrypting the card identification information subjected to desensitization according to the decryption algorithm to obtain card identification information; and sending the card identification information to the terminal for displaying. The card opening instruction is an instruction used by the terminal for checking card identification information, the current face feature information refers to face feature information of a user checking the card identification information, the server compares the current face feature information with the face feature information to obtain a comparison result, when the comparison result reaches a preset value, the current face feature information and the user represented by the face feature information are the same person, the server configures the card opening authority to be opened and obtains a decryption algorithm corresponding to the encrypted card identification information, it can be understood that the decryption algorithm is used for decrypting the card identification information after desensitization processing to obtain the card identification information, and the server sends the card identification information to the terminal for display.
In the embodiment, the security of the classified storage of the card information can be improved through the comparison and decryption processes of the biological characteristic information.
It should be understood that although the various steps in the flow charts of fig. 2-4 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. 2-4 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 5, there is provided a card classification saving apparatus including: a first receiving module 100, an identifying module 200, a classifying module 300, a desensitization module 400, and a saving module 500, wherein:
the first receiving module 100 is configured to receive a card saving instruction sent by the terminal, where the card saving instruction carries a card image.
The recognition module 200 is configured to perform optical character recognition on the card image to obtain card recognition information.
The classification module 300 is configured to input the card identification information into the trained card classification model to obtain a card classification result associated with the card identification information.
And the desensitization module 400 is used for acquiring a data desensitization algorithm corresponding to the card classification result and desensitizing the card identification information through the data desensitization algorithm.
The storage module 500 is configured to store the card identification information after the desensitization processing into a card classification corresponding to the card classification result.
In one embodiment, the card identification information may include at least one field information; the classification module 300 may include:
and the card module acquisition unit is used for acquiring each card template in the trained card classification model.
And the classification unit is used for acquiring a card classification result corresponding to the card template when the coincidence rate of the field information in the card identification information and the standard field information in the card template is greater than a preset threshold value.
And the first output unit is used for associating the card identification information with the card classification result and outputting the card classification result associated with the card identification information.
In one embodiment, the card sorting and storing device may further include:
and the first sending module is used for sending the card classification result corresponding to each card module and the coincidence rate corresponding to each card template to the terminal when the coincidence rate of the field information in the card identification information and the standard field information in each card template is not greater than a preset threshold value.
And the first result acquisition module is used for acquiring the card classification result selected by the terminal according to the coincidence rate.
And the first output module is used for associating the card identification information with the card classification result selected by the terminal and outputting the card classification result associated with the card identification information.
In one embodiment, the card sorting and storing device may further include:
and the second sending module is used for sending the card classification results to the terminal when the card classification results are at least two.
And the second result acquisition module is used for acquiring the card classification result selected by the terminal.
And the second output module is used for associating the card identification information with the card classification result selected by the terminal and outputting the card classification result associated with the card identification information.
In one embodiment, the card sorting and storing device may further include:
and the information acquisition module is used for acquiring the stored card identification information corresponding to the card classification results when the number of the card classification results is at least two.
And the comparison module is used for comparing the card identification information with the stored card identification information to obtain the similarity.
And the third output module is used for acquiring the card classification corresponding to the stored card identification information as the card classification result of the card identification information when the similarity reaches the preset similarity.
In one embodiment, the saving module 500 may include:
and the authority generating unit is used for receiving the standard biological characteristic information sent by the terminal and generating the card opening authority according to the standard biological characteristic information.
And the storage unit is used for storing the card opening authority and the card identification information subjected to desensitization treatment into the card classification corresponding to the card classification result.
In one embodiment, the card sorting and storing device may further include:
and the second receiving module is used for receiving a card opening instruction sent by the terminal, and the card opening instruction carries the current biological characteristic information.
And the matching rate acquisition module is used for acquiring the matching rate of the current biological characteristic information and the standard biological characteristic information.
And the decryption algorithm acquisition module is used for configuring the card opening authority to be opened when the matching rate reaches a preset value, and acquiring the decryption algorithm corresponding to the card identification information after desensitization treatment.
And the decryption module is used for decrypting the card identification information subjected to desensitization treatment through a decryption algorithm to obtain the card identification information.
And the third sending module is used for sending the card identification information obtained by decryption to the terminal.
For specific definition of the card classification storage device, reference may be made to the above definition of the card classification storage method, which is not described herein again. The modules in the card classification storage 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, a network interface, and a database 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 card image data. 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 card classification saving 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, there is provided a computer device comprising a memory storing a computer program and a processor implementing the following steps when the processor executes the computer program: receiving a card storage instruction sent by a terminal, wherein the card storage instruction carries a card image; carrying out optical character recognition on the card image to obtain card recognition information; inputting the card identification information into a trained card classification model to obtain a card classification result associated with the card identification information; acquiring a data desensitization algorithm corresponding to the card classification result, and performing desensitization processing on the card identification information through the data desensitization algorithm; and storing the card identification information subjected to desensitization treatment into a card classification corresponding to the card classification result.
In one embodiment, the card identification information implemented by the processor when executing the computer program includes at least one field information; inputting the card identification information into the trained card classification model to obtain a card classification result associated with the card identification information, which may include: obtaining each card template in the trained card classification model; when the coincidence rate of the field information in the card identification information and the standard field information in the card template is greater than a preset threshold value, obtaining a card classification result corresponding to the card template; and associating the card identification information with the card classification result, and outputting the card classification result associated with the card identification information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: when the coincidence rate of the field information in the card identification information and the standard field information in each card template is not greater than a preset threshold value, sending the card classification result corresponding to each card module and the coincidence rate corresponding to each card template to the terminal; obtaining a card classification result selected by the terminal according to the coincidence rate; and associating the card identification information with the card classification result selected by the terminal, and outputting the card classification result associated with the card identification information.
In one embodiment, after outputting the card classification result associated with the card identification information, the processor, when executing the computer program, may further include: when the number of the card classification results is at least two, the card classification results are sent to the terminal; obtaining a card classification result selected by a terminal; and associating the card identification information with the card classification result selected by the terminal, and outputting the card classification result associated with the card identification information.
In one embodiment, the processor, when executing the computer program, further comprises, after outputting the card classification result associated with the card identification information: when the number of the card classification results is at least two, the stored card identification information corresponding to the card classification results is obtained; comparing the card identification information with the stored card identification information to obtain similarity; and when the similarity reaches the preset similarity, acquiring the card classification corresponding to the stored card identification information as a card classification result of the card identification information.
In one embodiment, the saving of the card identification information after the desensitization process to the card classification corresponding to the card classification result, which is realized when the processor executes the computer program, may include: receiving standard biological characteristic information sent by a terminal, and generating a card opening authority according to the standard biological characteristic information; and storing the card opening authority and the card identification information subjected to desensitization treatment into a card classification corresponding to the card classification result.
In one embodiment, the processor, when executing the computer program, further performs the steps of: receiving a card opening instruction sent by a terminal, wherein the card opening instruction carries current biological characteristic information; acquiring the matching rate of the current biological characteristic information and the standard biological characteristic information; when the matching rate reaches a preset value, configuring the card opening authority to be opened, and acquiring a decryption algorithm corresponding to the card identification information subjected to desensitization; decrypting the desensitized card identification information through a decryption algorithm to obtain card identification information; and sending the card identification information obtained by decryption to the terminal.
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 a card storage instruction sent by a terminal, wherein the card storage instruction carries a card image; carrying out optical character recognition on the card image to obtain card recognition information; inputting the card identification information into a trained card classification model to obtain a card classification result associated with the card identification information; acquiring a data desensitization algorithm corresponding to the card classification result, and performing desensitization processing on the card identification information through the data desensitization algorithm; and storing the card identification information subjected to desensitization treatment into a card classification corresponding to the card classification result.
In one embodiment, the card identification information implemented when the computer program is executed by the processor includes at least one field information; inputting the card identification information into the trained card classification model to obtain a card classification result associated with the card identification information, which may include: obtaining each card template in the trained card classification model; when the coincidence rate of the field information in the card identification information and the standard field information in the card template is greater than a preset threshold value, obtaining a card classification result corresponding to the card template; and associating the card identification information with the card classification result, and outputting the card classification result associated with the card identification information.
In one embodiment, the computer program when executed by the processor further performs the steps of: when the coincidence rate of the field information in the card identification information and the standard field information in each card template is not greater than a preset threshold value, sending the card classification result corresponding to each card module and the coincidence rate corresponding to each card template to the terminal; obtaining a card classification result selected by the terminal according to the coincidence rate; and associating the card identification information with the card classification result selected by the terminal, and outputting the card classification result associated with the card identification information.
In one embodiment, the computer program when executed by the processor, after outputting the card classification result associated with the card identification information, may further include: when the number of the card classification results is at least two, the card classification results are sent to the terminal; obtaining a card classification result selected by a terminal; and associating the card identification information with the card classification result selected by the terminal, and outputting the card classification result associated with the card identification information.
In one embodiment, the computer program when executed by the processor, further comprises, after outputting a card classification result associated with the card identification information: when the number of the card classification results is at least two, the stored card identification information corresponding to the card classification results is obtained; comparing the card identification information with the stored card identification information to obtain similarity; and when the similarity reaches the preset similarity, acquiring the card classification corresponding to the stored card identification information as a card classification result of the card identification information.
In one embodiment, the saving of the card identification information after the desensitization process to the card classification corresponding to the card classification result, which is realized when the computer program is executed by the processor, may include: receiving standard biological characteristic information sent by a terminal, and generating a card opening authority according to the standard biological characteristic information; and storing the card opening authority and the card identification information subjected to desensitization treatment into a card classification corresponding to the card classification result.
In one embodiment, the computer program when executed by the processor further performs the steps of: receiving a card opening instruction sent by a terminal, wherein the card opening instruction carries current biological characteristic information; acquiring the matching rate of the current biological characteristic information and the standard biological characteristic information; when the matching rate reaches a preset value, configuring the card opening authority to be opened, and acquiring a decryption algorithm corresponding to the card identification information subjected to desensitization; decrypting the desensitized card identification information through a decryption algorithm to obtain card identification information; and sending the card identification information obtained by decryption to the terminal.
One of ordinary skill will appreciate that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
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 card classification saving method comprises the following steps:
receiving a card storage instruction sent by a terminal, wherein the card storage instruction carries a card image;
carrying out optical character recognition on the card image to obtain card recognition information;
inputting the card identification information into a trained card classification model to obtain a card classification result associated with the card identification information;
acquiring a data desensitization algorithm corresponding to the card classification result, and performing desensitization processing on the card identification information through the data desensitization algorithm;
and storing the card identification information subjected to desensitization treatment into a card classification corresponding to the card classification result.
2. The method of claim 1, wherein the card identification information includes at least one field information; the inputting the card identification information into a trained card classification model to obtain a card classification result associated with the card identification information includes:
obtaining each card template in the trained card classification model;
when the coincidence rate of the field information in the card identification information and the standard field information in the card template is greater than a preset threshold value, obtaining a card classification result corresponding to the card template;
and associating the card identification information with the card classification result, and outputting the card classification result associated with the card identification information.
3. The method of claim 2, wherein after obtaining each card template in the trained card classification model, further comprising:
when the coincidence rate of the field information in the card identification information and the standard field information in each card template is not greater than a preset threshold value, sending the card classification result corresponding to each card module and the coincidence rate corresponding to each card template to the terminal;
obtaining a card classification result selected by the terminal according to the coincidence rate;
and associating the card identification information with the card classification result selected by the terminal, and outputting the card classification result associated with the card identification information.
4. The method according to claim 2, wherein after outputting the card classification result associated with the card identification information, further comprising:
when the number of the card classification results is at least two, the card classification results are sent to the terminal;
obtaining a card classification result selected by the terminal;
and associating the card identification information with the card classification result selected by the terminal, and outputting the card classification result associated with the card identification information.
5. The method according to claim 2, wherein after outputting the card classification result associated with the card identification information, further comprising:
when the number of the card classification results is at least two, obtaining stored card identification information corresponding to the card classification results;
comparing the card identification information with the stored card identification information to obtain similarity;
and when the similarity reaches a preset similarity, acquiring a card classification corresponding to the stored card identification information as a card classification result of the card identification information.
6. The method according to any one of claims 1 to 5, wherein the storing the card identification information after the desensitization process into the card classification corresponding to the card classification result comprises:
receiving standard biological characteristic information sent by the terminal, and generating a card opening authority according to the standard biological characteristic information;
and storing the card opening authority and the card identification information subjected to desensitization treatment into a card classification corresponding to the card classification result.
7. The method of claim 6, further comprising:
receiving a card opening instruction sent by the terminal, wherein the card opening instruction carries current biological characteristic information;
acquiring the matching rate of the current biological characteristic information and the standard biological characteristic information;
when the matching rate reaches a preset value, configuring the card opening authority to be opened, and acquiring a decryption algorithm corresponding to the card identification information subjected to desensitization processing;
decrypting the card identification information subjected to desensitization processing through the decryption algorithm to obtain card identification information;
and sending the card identification information obtained by decryption to the terminal.
8. A card classification holding apparatus, comprising:
the first receiving module is used for receiving a card storage instruction sent by a terminal, and the card storage instruction carries a card image;
the identification module is used for carrying out optical character identification on the card image to obtain card identification information;
the classification module is used for inputting the card identification information into a trained card classification model to obtain a card classification result associated with the card identification information;
the desensitization module is used for acquiring a data desensitization algorithm corresponding to the card classification result and desensitizing the card identification information through the data desensitization algorithm;
and the storage module is used for storing the card identification information subjected to desensitization treatment into the card classification corresponding to the card classification result.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
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 7.
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