Mobile terminal user information care verification method and device, equipment and storage medium

Abstract

The invention relates to the technical field of biological recognition, is applied to the field of financial business science and technology, and discloses a mobile terminal user information care verification method, device and equipment and a storage medium, and the method comprises the steps: generating a login identifier based on the basic user information of a current user; determining an information verification mode of the current mobile terminal through a cloud background according to the login identifier; and when the information verification mode is a care verification mode, starting a care verification process to perform identity information verification on the current user. By means of the mode, the login identifier is generated through the basic information of the user, the information verification mode is determined through the cloud background according to the identifier, when it is recognized that the current user needs the care verification mode, the care verification process is automatically started, and the user experience is improved through interaction and verification with the cloud background. And on the premise of ensuring the accuracy and security of the user identity information, the identity verification efficiency of the care login mode is improved.

Description

Technical Field

[0001] The present application relates to the field of biometric identification technology, which is applied to the field of financial business technology, and in particular to a mobile user information care verification method, device, equipment and storage medium. Background Art

[0002] With the popularity of mobile devices and the development of mobile Internet technology, mobile financial apps have become an indispensable tool in people's daily lives. These apps provide convenient financial services such as transfers, payments, and financial management. In order to meet the needs of different user groups, especially for older or less educated users, many financial apps have launched care modes to improve usability by simplifying the interface and increasing the font size.

[0003] However, in actual use, even in the care mode, older users still face challenges in the login verification process. Existing login verification methods usually include entering an account number, password, checking the user agreement, and subsequent multi-step verification, such as entering a mobile phone verification code and physiological feature verification (such as face verification). These verification steps may be too complicated for older users, especially in the physiological feature verification stage, where users need to complete a series of actions based on voice and text prompts, such as shaking their heads and blinking, which may lead to verification failures. Therefore, how to improve the identity authentication efficiency of the care login mode in the field of financial business technology has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] The present application provides a mobile user information care verification method, device, equipment and storage medium to improve the identity authentication efficiency of the care login mode in the field of financial business technology.

[0005] In a first aspect, the present application provides a mobile terminal user information care verification method, the method comprising:

[0006] Generate a login ID based on the basic user information of the current user;

[0007] According to the login identifier, determine the information verification method of the current mobile terminal through the cloud background;

[0008] In case the information verification mode is a care verification mode, a care verification process is initiated to verify the identity information of the current user.

[0009] In a second aspect, the present application also provides a mobile terminal user information care verification device, the device comprising:

[0010] A login identification generation module is used to generate a login identification based on the basic user information of the current user;

[0011] An information verification method determination module is used to determine the information verification method of the current mobile terminal through the cloud background according to the login identifier;

[0012] The care verification process verification module is used to start the care verification process to verify the identity information of the current user when the information verification mode is the care verification mode.

[0013] In a third aspect, the present application also provides a computer device, comprising a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program and implement the mobile user information care verification method as described above when executing the computer program.

[0014] In a fourth aspect, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the processor implements the mobile terminal user information care verification method as described above.

[0015] The present application discloses a method, device, equipment and storage medium for user information care verification on a mobile terminal. The method includes generating a login identifier based on the basic user information of the current user; determining the information verification method of the current mobile terminal through the cloud background according to the login identifier; and starting the care verification process to verify the identity information of the current user when the information verification method is the care verification method. Through the above method, the present application generates a login identifier through the basic information of the user, and determines the information verification method through the cloud background according to the identifier. When it is identified that the current user needs the care verification method, the care verification process is automatically started. Through interaction and verification with the cloud background, the accuracy and security of the user's identity information are ensured, and the identity authentication efficiency of the care login mode is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 is a schematic flow chart of a mobile terminal user information care verification method provided by the first embodiment of the present application;

[0018] Figure 2 is a schematic flow chart of a mobile terminal user information care verification method provided by the second embodiment of the present application;

[0019] Figure 3 A schematic block diagram of a mobile terminal user information care verification device provided in an embodiment of the present application;

[0020] Figure 4 A schematic block diagram of the structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0022] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0023] It should be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0024] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0025] The embodiments of the present application provide a mobile user information care verification method, device, equipment and storage medium. The mobile user information care verification method can be applied to a server, generate a login identifier through the user's basic information, and determine the information verification method through the cloud background according to the identifier. When it is identified that the current user needs a care verification method, the care verification process is automatically started. Through interaction and verification with the cloud background, the accuracy and security of the user's identity information are ensured, and the identity authentication efficiency of the care login mode is improved. The server can be an independent server or a server cluster.

[0026] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0027] See also Figure 1 , Figure 1 This is a schematic flow chart of a mobile user information care verification method provided by the first embodiment of the present application. The mobile user information care verification method can be applied to a server, and is used to generate a login identifier through the user's basic information, and determine the information verification method through the cloud background according to the identifier. When it is recognized that the current user needs a care verification method, the care verification process is automatically started. Through interaction and verification with the cloud background, the accuracy and security of the user's identity information are ensured, and the identity authentication efficiency of the care login mode is improved.

[0028] like Figure 1 As shown, the mobile terminal user information care verification method specifically includes steps S10 to S30.

[0029] Step S10: Generate a login ID based on the basic user information of the current user;

[0030] Specifically, the default user login credentials are changed to: ID card + login password + SMS verification of bound mobile phone number. The user interface requires an additional check to select mobile phone number / account login. If the user checks the mobile phone number / account login, the normal login verification process will be returned.

[0031] Step S20: Determine the information verification method of the current mobile terminal through the cloud backend according to the login identifier;

[0032] Specifically, if the user logs in through ID card verification, the background verification end will identify the age of the ID card entered by the user before uploading the verification data to the cloud. If the age is ≥50 years old (50 years old is an example, the specific age can be set by the user), it will enter the caring login process, otherwise, it will enter the normal process. If the user fails the physiological feature verification stage more than five times, it will also enter the caring login process.

[0033] Step S30: When the information verification mode is the care verification mode, a care verification process is started to verify the identity information of the current user.

[0034] Specifically, the current mainstream login verification method is to enter any one of the account code / ID card / mobile phone number, then enter the corresponding login password, check to read the user agreement, and then click login to proceed to the next step of verification. When a new App (app l icat ion, application) is installed or the App has not been used for a long time, the next step of verification is to enter the number / last digit (4 digits) of the mobile phone bound to the account, obtain and enter the verification code, and then proceed to the next step of verification. The next step of verification is physiological feature verification, which is usually facial recognition verification. Many older users are stuck at this stage. Due to the limitation of the verification algorithm, during this stage of verification, the user is required to align the face with the corresponding area of ​​the mobile device screen (face frame area). After alignment, the user is required to make corresponding body movements according to voice or text prompts (such as shaking the head left or right, nodding, blinking, etc., and some verification algorithms also require corresponding frequencies). During this period, the mobile device screen will have strong light and display color changes (outside the face frame area), such as yellow 2s → blue 2s → red 2s. After completing the above body movement verification and display color change verification, the user can log in and use the App.

[0035] Even though there are voice and text prompts throughout this stage, it is still troublesome for users with low cultural level and older age, such as: 1. It is difficult for users to align with the face frame area (too close or too far), and it is easy to move the face out of the frame during the verification process; 2. During the display color change verification process, users may find it difficult to tolerate the exposure to pure color high-brightness light, resulting in errors in subsequent verification; 3. During the body movement verification stage, users often maintain a certain posture after making the corresponding action, such as: after the user shakes his head to the left, he maintains the posture of the left head to continue the subsequent body movement verification, resulting in errors in subsequent verification; for example: after the user is required to blink, some users will suddenly keep their eyes closed for several seconds, resulting in errors in the initial stage of the subsequent body movement verification; for example: when the user is required to nod, the user raises / lowers his head and keeps it, or maintains the posture of raising / lowering his head after nodding, resulting in errors in subsequent verification.

[0036] In one embodiment, if the user logs in through the caring login process, an identification is performed and the identification is sent back to the cloud backend for storage. When the user logs in through the mobile phone number / account, the cloud backend is requested for this identification. If the user does not have this identification, subsequent logins are performed according to the normal login verification process. If the backend feedback has this identification, the caring login process is entered.

[0037] The care login process generally includes three steps: user facial recognition, user body movement recognition, and recognition of user facial features when the screen display color changes.

[0038] The present embodiment discloses a mobile terminal user information care verification method, device, equipment and storage medium, the mobile terminal user information care verification method includes generating a login identifier based on the basic user information of the current user; determining the information verification method of the current mobile terminal through the cloud background according to the login identifier; when the information verification method is the care verification method, starting the care verification process to verify the identity information of the current user. Through the above method, the present application generates a login identifier through the basic information of the user, and determines the information verification method through the cloud background according to the identifier. When it is identified that the current user needs the care verification method, the care verification process is automatically started. Through interaction and verification with the cloud background, the accuracy and security of the user's identity information are ensured, and the identity authentication efficiency of the care login mode is improved.

[0039] See also Figure 2 , Figure 2 This is a schematic flow chart of a mobile user information care verification method provided by the second embodiment of the present application. The mobile user information care verification method can be applied to a server, and is used to increase the complexity of identity verification by combining facial recognition and body movement verification, providing multi-dimensional biometric data, making identity verification more accurate, and reducing the possibility of misidentification.

[0040] based on Figure 1 The embodiment shown, this embodiment Figure 2 As shown, step S30 includes steps S301 to S303.

[0041] Step S301, calling the facial recognition module of the current mobile terminal, obtaining the facial image of the current user through the facial recognition module, and verifying the facial image;

[0042] Specifically, the facial recognition module is called to identify whether the current distance of the user's face is appropriate (too close or too far), and the user is prompted through text and voice to adjust the distance between the user and the screen. After the distance is appropriate, a face frame area is generated according to the position of the user's face on the screen at this time (the entire face must be within the screen range), and the user is prompted through text and voice not to move the device or head. The waiting and verification time will be adjusted as needed.

[0043] Step S302: when the facial image passes the verification, calling the body movement verification module of the current mobile terminal, and verifying the current body movement of the current user through the body movement verification module;

[0044] Specifically, during the body movement verification phase, the user is reminded not to move the device or head, and any two of the following postures are randomly selected: lowering the head, raising the head, turning the head to the left, and turning the head to the right, and then identifying them in turn. The identification process is as follows: remind the user to lower the head → wait → identify → remind the user to restore the normal posture / maintain this posture after successful identification, then exclude this posture and the subsequent second posture and randomly select another posture, and then remind the user to directly perform the randomly selected posture.

[0045] Step S303: When the current body movement passes the verification, determine that the current user passes the identity information verification.

[0046] In one embodiment, if the head tilt is selected, the user is allowed to directly change from the head-down posture to the head-up posture, and then the recognition is performed again. If it still fails, the user is reminded of the recognition failure, and then the recognition is restarted → the user is reminded to perform a second posture recognition, such as: turn the head to the left → wait → recognize → remind the user that the normal posture can be restored / maintained after the recognition is successful → obtain the first confidence interval after the two recognitions and the cloud data verification, if the two recognition results are within the first confidence interval, the recognition is completed; if the two recognition results are within the second confidence interval, the subsequent screen color change verification is performed, if both recognitions are not within the second confidence interval, the recognition fails, reset, and then the recognition is restarted → the recognition is completed and successful, waiting for the background to feedback the login data → normal login.

[0047] The present embodiment discloses a method, device, equipment and storage medium for user information care and verification on a mobile terminal. The method includes generating a login identifier based on the basic user information of the current user; determining the information verification method of the current mobile terminal through the cloud background according to the login identifier; calling the facial recognition module of the current mobile terminal, obtaining the facial image of the current user through the facial recognition module, and verifying the facial image; if the facial image passes the verification, calling the body movement verification module of the current mobile terminal, and verifying the current body movement of the current user through the body movement verification module; if the current body movement passes the verification, determining that the current user passes the identity information verification. In the above manner, the present application increases the complexity of identity verification by combining facial recognition and body movement verification, provides multi-dimensional biometric data, makes identity verification more accurate, and reduces the possibility of misidentification.

[0048] based on Figure 2 In the embodiment shown, in this embodiment, step S301 includes:

[0049] Acquiring the current distance between the current mobile terminal and the facial image through the facial recognition module, and generating a distance prompt signal according to the current distance and a preset distance threshold;

[0050] Based on the current distance, generating a standard facial frame;

[0051] Based on the distance prompt signal, the current user is prompted to adjust the facial position to the standard facial frame, the facial image is generated, and the facial image is verified by the facial recognition module.

[0052] In one embodiment, the facial recognition module captures the user's facial image through a front camera and estimates the current distance between the camera and the user's face through a specific sensor or algorithm (such as a sensor, structured light technology, or binocular vision).

[0053] A distance prompt signal is generated based on the comparison between the current distance and the preset distance threshold. If the current distance exceeds the threshold, the prompt signal will instruct the user to adjust the distance, and then a standard face frame is generated based on the current distance to represent the area where the facial recognition module expects the user's face to be located.

[0054] The system guides the user to move the face into the standard face frame through interface prompts or sound prompts. The user adjusts the face position according to the prompts to ensure that the face is within the standard face frame. After the user adjusts the face position, the facial recognition module reacquires the facial image.

[0055] The facial recognition module analyzes the re-acquired facial image and compares it with the user's facial data stored in the database. The facial recognition module generates a verification result to determine whether the user has passed the facial recognition verification.

[0056] The present embodiment discloses a method, apparatus, device and storage medium for user information care and verification on a mobile terminal. The method comprises generating a login identifier based on basic user information of a current user; determining the information verification mode of the current mobile terminal through a cloud background according to the login identifier; obtaining the current distance between the current mobile terminal and the facial image through the facial recognition module, and generating a distance prompt signal according to the current distance and a preset distance threshold; generating a standard facial frame based on the current distance; prompting the current user to adjust the facial position to the standard facial frame based on the distance prompt signal, generating the facial image, and verifying the facial image through the facial recognition module; calling the body movement verification module of the current mobile terminal when the facial image passes the verification, and verifying the current body movement of the current user through the body movement verification module; determining that the current user passes the identity information verification when the current body movement passes the verification. Through the above method, this application generates a login identification through the user's basic information, and determines the information verification method through the cloud background based on the identification. When it is recognized that the current user needs a care verification method, the care verification process is automatically started. Through interaction and verification with the cloud background, the accuracy and security of the user's identity information are ensured, and the identity authentication efficiency of the care login mode is improved.

[0057] based on Figure 2 In the embodiment shown, in this embodiment, step S302 includes:

[0058] Determine two standard body movements through the body movement verification module, and generate a first body movement prompt signal and a second body movement prompt signal, wherein the standard body movements are stored in the cloud backend;

[0059] In response to the first limb movement prompt signal and the second limb movement prompt signal, determining the current limb movement;

[0060] Comparing the current limb movement with the standard limb movement respectively to generate a first limb movement comparison result and a second limb movement comparison result;

[0061] When the first limb movement comparison result and the second limb movement comparison result belong to a first confidence interval, it is determined that the current limb movement passes the verification.

[0062] In one embodiment, the user's current body movement is compared with the standard body movement to generate a body movement comparison result, and the first body movement comparison result and the second body movement comparison result are compared. When the first body movement comparison result and the second body movement comparison result both belong to a preset first confidence interval, it is determined that the current body movement passes the verification.

[0063] The present embodiment discloses a method, apparatus, device and storage medium for user information care and verification on a mobile terminal. The method comprises generating a login identifier based on basic user information of a current user; determining the information verification mode of the current mobile terminal through a cloud background according to the login identifier; calling a facial recognition module of the current mobile terminal, acquiring a facial image of the current user through the facial recognition module, and verifying the facial image; determining two standard body movements through the body movement verification module, and generating a first body movement prompt signal and a second body movement prompt signal, wherein the standard body movement is stored in the cloud background; determining the current body movement in response to the first body movement prompt signal and the second body movement prompt signal; respectively comparing the current body movement with the standard body movement to generate a first body movement comparison result and a second body movement comparison result; determining that the current body movement has passed the verification when the first body movement comparison result and the second body movement comparison result belong to a first confidence interval; and determining that the current user has passed the identity information verification when the current body movement has passed the verification. Through the above method, this application generates a login identification through the user's basic information, and determines the information verification method through the cloud background based on the identification. When it is recognized that the current user needs a care verification method, the care verification process is automatically started. Through interaction and verification with the cloud background, the accuracy and security of the user's identity information are ensured, and the identity authentication efficiency of the care login mode is improved.

[0064] In a more preferred embodiment, after step S302, the following steps are further included:

[0065] When the first limb motion comparison result and the second limb motion comparison result belong to a second confidence interval, calling a color change module of the current mobile terminal, and randomly changing the screen color of the current mobile terminal through the color change module;

[0066] Acquire the transformed color facial image of the current user under each of the screen colors, and verify each of the transformed color facial images;

[0067] When each of the color-changed facial images passes the verification, it is determined that the current user passes the identity information verification.

[0068] In a more preferred embodiment, obtaining the color-changed facial image of the current user under each of the screen colors and verifying each of the color-changed facial images includes:

[0069] In response to the color switching instruction issued by the color changing module, a facial action adjustment signal is issued;

[0070] Based on the facial action adjustment signal, acquiring each of the transformed color facial images, and matching each of the transformed color facial images with a preset standard color facial image to generate at least two facial comparison results;

[0071] Based on the comparison result between each facial comparison result and a preset standard confidence interval, each of the color-changed facial images is verified.

[0072] Specifically, remind the user to face the screen and stare at the screen / camera → wait → posture recognition check → if the user's posture is normal, proceed to the next step; otherwise, remind the user again to face the screen and stare at the screen / camera → remind the user to close his eyes for 5s (or more than 5s), and start blink recognition 1-2s before the reminder → identify whether the user has closed his eyes; if it is recognized that the user has rhinitis, proceed to the next step; otherwise, remind and identify again → if the user is in a closed-eye state, perform color change face recognition of two to three random colors in turn → recognition is completed → remind the user to open his eyes and perform open-eye recognition → proceed to the next step regardless of whether the open-eye recognition is completed → background recognition verification, if any of blink recognition, color change face recognition, and open-eye recognition falls within the corresponding specific confidence interval, the recognition is completed and successful; otherwise, the recognition fails, reset, and then restart the recognition.

[0073] Based on any of the above embodiments, in this embodiment, step S10 includes:

[0074] Obtaining user age information from the basic user information;

[0075] When the user age information is greater than or equal to a preset age threshold, or when it is detected that the number of default login failures reaches a preset number threshold, the caring login identifier is generated.

[0076] Specifically, when a user logs in through ID card verification, the background verification end will identify the age of the user's ID card before uploading the verification data to the cloud. If the age is ≥50 years old, it will enter the caring login process, otherwise, it will enter the normal process. If the user fails the physiological feature verification stage more than five times, it will also enter the caring login process.

[0077] It should be noted that the age information and time information involved in the above embodiments can be set by the user according to actual needs. They are only used as examples and are not specifically limited.

[0078] See also Figure 3 , Figure 3The embodiment of the present application provides a schematic block diagram of a mobile terminal user information care verification device, which is used to execute the above-mentioned mobile terminal user information care verification method. The mobile terminal user information care verification device can be configured on a server.

[0079] like Figure 3 As shown, the mobile terminal user information care verification device 400 includes:

[0080] A login identification generating module 410 is used to generate a login identification based on the basic user information of the current user;

[0081] An information verification method determination module 420 is used to determine the information verification method of the current mobile terminal through the cloud background according to the login identifier;

[0082] The care verification process verification module 430 is used to start the care verification process to verify the identity information of the current user when the information verification mode is the care verification mode.

[0083] Furthermore, the care verification process verification module 430 includes:

[0084] A facial image verification unit, configured to call a facial recognition module of the current mobile terminal, obtain a facial image of the current user through the facial recognition module, and verify the facial image;

[0085] A body movement verification unit, configured to call a body movement verification module of the current mobile terminal if the facial image passes the verification, and verify the current body movement of the current user through the body movement verification module;

[0086] The identity information verification unit is used to determine that the current user has passed the identity information verification when the current body movement has passed the verification.

[0087] Furthermore, the facial image verification unit comprises:

[0088] A distance prompt signal generating subunit, configured to obtain a current distance between the current mobile terminal and the facial image through the facial recognition module, and generate a distance prompt signal according to the current distance and a preset distance threshold;

[0089] A standard facial frame generating subunit, configured to generate a standard facial frame based on the current distance;

[0090] The facial image verification subunit is used to prompt the current user to adjust the facial position to the standard facial frame based on the distance prompt signal, generate the facial image, and verify the facial image through the facial recognition module.

[0091] Furthermore, the body movement verification unit includes:

[0092] A body movement prompt signal generating subunit, used for determining two standard body movements through the body movement verification module, and generating a first body movement prompt signal and a second body movement prompt signal, wherein the standard body movements are stored in the cloud backend;

[0093] a current limb movement determining subunit, configured to determine the current limb movement in response to the first limb movement prompt signal and the second limb movement prompt signal;

[0094] A body movement comparison subunit, used for comparing the current body movement with the standard body movement, to generate a first body movement comparison result and a second body movement comparison result;

[0095] The limb movement verification subunit is used to determine that the current limb movement passes the verification when the first limb movement comparison result and the second limb movement comparison result belong to a first confidence interval.

[0096] Furthermore, the care verification process verification module 430 further includes:

[0097] A color-changed facial image acquisition unit, used for acquiring the color-changed facial image of the current user under each of the screen colors, and verifying each of the color-changed facial images;

[0098] The color-changing verification unit is used to determine that the current user has passed the identity information verification when each of the color-changing facial images has passed the verification.

[0099] Furthermore, the color-changed facial image acquisition unit comprises:

[0100] A facial action adjustment signal sending subunit, configured to send a facial action adjustment signal in response to a color switching instruction sent by the color changing module;

[0101] A facial comparison result generating subunit, configured to obtain each of the transformed color facial images based on the facial action adjustment signal, and match each of the transformed color facial images with a preset standard color facial image to generate at least two facial comparison results;

[0102] The transformed color verification subunit is used to verify each of the transformed color facial images based on the comparison result of each of the facial comparison results and a preset standard confidence interval.

[0103] Furthermore, the login identification generation module 410 includes:

[0104] A user age information acquisition unit, used to acquire the user age information in the basic user information;

[0105] The caring login mark generation unit is used to generate the caring login mark when the user age information is greater than or equal to a preset age threshold, or when it is detected that the number of default login failures reaches a preset number threshold.

[0106] It should be noted that those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described device and each module can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0107] The above-mentioned device can be implemented in the form of a computer program. Figure 4 Runs on the computer device shown.

[0108] See also Figure 4 , Figure 4 1 is a schematic block diagram of a computer device provided in an embodiment of the present application. The computer device may be a server.

[0109] See also Figure 4 The computer device includes a processor, a memory and a network interface connected through a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0110] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any one of the mobile terminal user information care verification methods.

[0111] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0112] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any mobile terminal user information care verification method.

[0113] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0114] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0115] In one embodiment, the processor is used to run a computer program stored in the memory to implement the following steps:

[0116] Generate a login ID based on the basic user information of the current user;

[0117] According to the login identifier, determine the information verification method of the current mobile terminal through the cloud background;

[0118] In case the information verification mode is a care verification mode, a care verification process is initiated to verify the identity information of the current user.

[0119] In one embodiment, when the information verification mode is a care verification mode, a care verification process is started to verify the identity information of the current user, so as to achieve:

[0120] Calling the facial recognition module of the current mobile terminal, obtaining the facial image of the current user through the facial recognition module, and verifying the facial image;

[0121] In the case where the facial image passes the verification, calling the body movement verification module of the current mobile terminal, and verifying the current body movement of the current user through the body movement verification module;

[0122] In the case where the current body movement passes the verification, it is determined that the current user passes the identity information verification.

[0123] In one embodiment, the facial recognition module of the current mobile terminal is called, the facial image of the current user is obtained through the facial recognition module, and the facial image is verified to achieve:

[0124] Acquiring the current distance between the current mobile terminal and the facial image through the facial recognition module, and generating a distance prompt signal according to the current distance and a preset distance threshold;

[0125] Based on the current distance, generating a standard facial frame;

[0126] Based on the distance prompt signal, the current user is prompted to adjust the facial position to the standard facial frame, the facial image is generated, and the facial image is verified by the facial recognition module.

[0127] In one embodiment, when the facial image passes the verification, the body movement verification module of the current mobile terminal is called, and the current body movement of the current user is verified by the body movement verification module, so as to achieve:

[0128] Determine two standard body movements through the body movement verification module, and generate a first body movement prompt signal and a second body movement prompt signal, wherein the standard body movements are stored in the cloud backend;

[0129] In response to the first limb movement prompt signal and the second limb movement prompt signal, determining the current limb movement;

[0130] Comparing the current limb movement with the standard limb movement respectively to generate a first limb movement comparison result and a second limb movement comparison result;

[0131] When the first limb movement comparison result and the second limb movement comparison result belong to a first confidence interval, it is determined that the current limb movement passes the verification.

[0132] In one embodiment, when the facial image passes the verification, the body movement verification module of the current mobile terminal is called, and after the current body movement of the current user is verified by the body movement verification module, it is also used to implement:

[0133] When the first limb motion comparison result and the second limb motion comparison result belong to a second confidence interval, calling a color change module of the current mobile terminal, and randomly changing the screen color of the current mobile terminal through the color change module;

[0134] Acquire the transformed color facial image of the current user under each of the screen colors, and verify each of the transformed color facial images;

[0135] When each of the color-changed facial images passes the verification, it is determined that the current user passes the identity information verification.

[0136] In one embodiment, the facial image of the current user in each of the screen colors is acquired and each of the facial images in the changed colors is verified to achieve:

[0137] In response to the color switching instruction issued by the color changing module, a facial action adjustment signal is issued;

[0138] Based on the facial action adjustment signal, acquiring each of the transformed color facial images, and matching each of the transformed color facial images with a preset standard color facial image to generate at least two facial comparison results;

[0139] Based on the comparison result between each facial comparison result and a preset standard confidence interval, each of the color-changed facial images is verified.

[0140] In one embodiment, a login identifier is generated based on the basic user information of the current user to implement:

[0141] Obtaining user age information from the basic user information;

[0142] When the user age information is greater than or equal to a preset age threshold, or when it is detected that the number of default login failures reaches a preset number threshold, the caring login identifier is generated.

[0143] A computer-readable storage medium is also provided in an embodiment of the present application, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and the processor executes the program instructions to implement any mobile user information care verification method provided in the embodiment of the present application.

[0144] The computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiment, such as a hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a smart memory card (Smart Medi a Card, SMC), a secure digital (Secure Digital, SD) card, a flash memory card (Flash Card), etc., equipped on the computer device.

[0145] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A mobile terminal user information care verification method, characterized in that: include: Generate a login ID based on the basic user information of the current user; According to the login identifier, determine the information verification method of the current mobile terminal through the cloud background; In case the information verification mode is a care verification mode, a care verification process is initiated to verify the identity information of the current user.

2. The mobile terminal user information care verification method according to claim 1, characterized in that: When the information verification mode is the care verification mode, starting the care verification process to verify the identity information of the current user includes: Calling the facial recognition module of the current mobile terminal, obtaining the facial image of the current user through the facial recognition module, and verifying the facial image; In the case where the facial image passes the verification, calling the body movement verification module of the current mobile terminal, and verifying the current body movement of the current user through the body movement verification module; In the case where the current body movement passes the verification, it is determined that the current user passes the identity information verification.

3. The mobile terminal user information care verification method according to claim 2, characterized in that: The calling of the facial recognition module of the current mobile terminal, obtaining the facial image of the current user through the facial recognition module, and verifying the facial image includes: Acquiring the current distance between the current mobile terminal and the facial image through the facial recognition module, and generating a distance prompt signal according to the current distance and a preset distance threshold; Based on the current distance, generating a standard facial frame; Based on the distance prompt signal, the current user is prompted to adjust the facial position to the standard facial frame, the facial image is generated, and the facial image is verified by the facial recognition module.

4. The mobile terminal user information care verification method according to claim 2, characterized in that: When the facial image passes the verification, calling the body movement verification module of the current mobile terminal, and verifying the current body movement of the current user through the body movement verification module, includes: Determine two standard body movements through the body movement verification module, and generate a first body movement prompt signal and a second body movement prompt signal, wherein the standard body movements are stored in the cloud backend; In response to the first limb movement prompt signal and the second limb movement prompt signal, determining the current limb movement; Comparing the current limb movement with the standard limb movement respectively to generate a first limb movement comparison result and a second limb movement comparison result; When the first limb movement comparison result and the second limb movement comparison result belong to a first confidence interval, it is determined that the current limb movement passes the verification.

5. The mobile terminal user information care verification method according to claim 4, characterized in that: In the case where the facial image passes the verification, calling the body movement verification module of the current mobile terminal, and verifying the current body movement of the current user through the body movement verification module, the method further includes: When the first limb motion comparison result and the second limb motion comparison result belong to a second confidence interval, calling a color change module of the current mobile terminal, and randomly changing the screen color of the current mobile terminal through the color change module; Acquire the transformed color facial image of the current user under each of the screen colors, and verify each of the transformed color facial images; When each of the color-changed facial images passes the verification, it is determined that the current user passes the identity information verification.

6. The mobile terminal user information care verification method according to claim 5, characterized in that: The step of obtaining the color-changed facial image of the current user under each of the screen colors and verifying each of the color-changed facial images comprises: In response to the color switching instruction issued by the color changing module, a facial action adjustment signal is issued; Based on the facial action adjustment signal, acquiring each of the transformed color facial images, and matching each of the transformed color facial images with a preset standard color facial image to generate at least two facial comparison results; Based on the comparison result between each facial comparison result and a preset standard confidence interval, each of the color-changed facial images is verified.

7. The mobile terminal user information care verification method according to any one of claims 1 to 6, characterized in that: The login identifier includes a care login identifier, and the generating of the login identifier based on the basic user information of the current user includes: Obtaining user age information from the basic user information; When the user age information is greater than or equal to a preset age threshold, or when it is detected that the number of default login failures reaches a preset number threshold, the caring login identifier is generated.

8. A mobile user information care verification device, characterized in that: include: A login identification generation module is used to generate a login identification based on the basic user information of the current user; An information verification method determination module is used to determine the information verification method of the current mobile terminal through the cloud background according to the login identifier; The care verification process verification module is used to start the care verification process to verify the identity information of the current user when the information verification mode is the care verification mode.

9. A computer device, characterized in that: The computer device includes a memory and a processor; The memory is used to store computer programs; The processor is used to execute the computer program and implement the mobile terminal user information care verification method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements the mobile terminal user information care verification method according to any one of claims 1 to 7.

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