CN113536270A - Information verification method and device, computer equipment and storage medium - Google Patents

Information verification method and device, computer equipment and storage medium Download PDF

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Publication number
CN113536270A
CN113536270A CN202110844840.6A CN202110844840A CN113536270A CN 113536270 A CN113536270 A CN 113536270A CN 202110844840 A CN202110844840 A CN 202110844840A CN 113536270 A CN113536270 A CN 113536270A
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China
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virtual object
image
verification
expression
object expression
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CN202110844840.6A
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CN113536270B (en
Inventor
张唯
曾豪
丁彧
李林橙
陶建容
范长杰
胡志鹏
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Netease Hangzhou Network Co Ltd
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Netease Hangzhou Network Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/25Fusion techniques
    • G06F18/253Fusion techniques of extracted features
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent

Abstract

The embodiment of the application discloses a method and a device for information verification, computer equipment and a storage medium. The method comprises the steps of sending an information verification request to a server through operation triggering of a graphical user interface, enabling the server to return a virtual object expression image and verification prompt information to a terminal according to the information verification request, generating a verification page and displaying the verification page on the graphical user interface after the terminal receives the virtual object expression image and the verification prompt information, obtaining an operation result according to operation of a user on the verification page, further determining the verification result based on the operation result, and accordingly completing a function of the graphical user interface corresponding to the request according to the verification result. The security of information authentication can be improved.

Description

Information verification method and device, computer equipment and storage medium
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for information verification, a computer device, and a storage medium.
Background
Verification code (complete automatic Public television test to tell Computers and Humans), is a Public, fully Automated program that distinguishes users as Computers or Humans. It is possible to prevent: the password is cracked maliciously, the ticket is swiped, the forum is watered, a hacker is effectively prevented from carrying out continuous login attempts on a certain specific registered user in a brute force cracking mode of a specific program, and actually, a verification code is used in a current passing mode of a plurality of websites. This question can be generated and evaluated by a computer, but only by a human being. Since the computer cannot solve the captcha's question, the user who answers the question may be considered a human.
In the related art, the verification methods include the following steps: the verification code comprises a graphic verification code, a short message verification code, a voice verification code, a slider verification code, a problem verification code and a recognition verification code. The security of the authentication mode is low.
Disclosure of Invention
The embodiment of the application provides an information verification method, an information verification device, computer equipment and a storage medium, and the safety of information verification can be improved.
The embodiment of the application provides an information verification method, which is applied to a terminal and comprises the following steps:
sending an information verification request to a server;
when receiving a virtual object expression image and verification prompt information returned by the server according to the information verification request, displaying a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information, wherein the verification prompt information is used for prompting the incidence relation between the virtual object expression image and a verification requirement;
generating an operation result based on the operation on the verification page;
and sending the operation result to the server so that the server verifies the operation result to obtain a verification result.
Correspondingly, the embodiment of the application provides another information verification method, which is applied to a server and comprises the following steps:
responding to an information verification request sent by a terminal, and screening out a virtual object expression image from the image set;
sending the virtual object expression image and verification prompt information to the terminal so that the terminal displays a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information, wherein the verification prompt information is used for prompting the association relationship between the virtual object expression image and a verification requirement;
and receiving an operation result sent by the terminal, wherein the operation result is generated according to the operation of the user on the verification page, and the operation result is verified to obtain an operation result.
Correspondingly, the embodiment of the present application further provides an information verification apparatus, which is applied to a terminal, and the apparatus includes:
a first sending unit, configured to send an information verification request to a server;
the first display unit is used for displaying a verification page on a graphical user interface according to the virtual object expression image and verification prompt information when receiving the virtual object expression image and the verification prompt information returned by the server according to the information verification request, wherein the verification prompt information is used for prompting the incidence relation between the virtual object expression image and the verification requirement;
a first generating unit configured to generate an operation result based on an operation on the verification page;
and the second sending unit is used for sending the operation result to the server so that the server verifies the operation result to obtain a verification result.
In some embodiments, the first generation unit includes:
a first determining subunit, configured to determine, in response to a user selection operation on the plurality of virtual object expression images in the verification page, a target virtual object expression image from the plurality of virtual object expression images;
and the second determining subunit is used for obtaining the operation result based on the expression image of the target virtual object.
In some embodiments, the first generation unit includes:
a third determining subunit, configured to determine, in response to a selection operation of the user on the plurality of expression keywords in the verification page, a target expression keyword from the plurality of expression keywords;
and the fourth determining subunit is used for obtaining the operation result based on the target expression keyword.
In some embodiments, the first generation unit includes:
a fifth determining subunit, configured to determine, in response to a selection operation of the user on the plurality of virtual object expressions in the verification page, a target virtual object expression image from the plurality of virtual object expression images;
and the sixth determining subunit is used for obtaining the operation result based on the expression image of the target virtual object.
In some embodiments, the apparatus further comprises:
the second display unit is used for displaying an image switching control on the verification page if the verification result indicates that the verification fails;
a fourth sending unit, configured to send an image switching request to the server in response to a trigger operation for the image switching control;
and the updating unit is used for updating the verification page based on the virtual object expression image when receiving the virtual object expression image returned by the server aiming at the image switching request.
Correspondingly, the embodiment of the present application further provides another information verification apparatus, which is applied to a server, and the apparatus includes:
the screening unit is used for responding to an information verification request sent by the terminal and screening out the expression images of the virtual objects from the image set;
a third sending unit, configured to send the virtual object expression image and verification prompt information to the terminal, so that the terminal displays a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information, where the verification prompt information is used to prompt an association relationship between the virtual object expression image and a verification requirement;
and the first receiving unit is used for receiving an operation result sent by the terminal, generating the operation result according to the operation of the user on the verification page, and verifying the operation result to obtain an operation result.
In some embodiments, the apparatus further comprises:
the acquisition unit is used for acquiring sample noise data;
a second generating unit configured to generate a virtual object expression image based on the sample noise data;
and the first determining unit is used for obtaining a virtual object expression image according to the virtual object expression image and obtaining the image set based on the virtual object expression image.
In some embodiments, the first determination unit comprises:
the extraction subunit is used for determining a target facial expression and extracting expression characteristic data of the target facial expression;
and the fusion subunit is used for fusing the virtual object expression image and the expression characteristic data to obtain a virtual object expression image corresponding to the virtual object expression image.
In some embodiments, the first determination unit comprises:
and the screening subunit is used for screening the virtual object images according to the definition of the virtual object expression images and/or the abnormal information of the virtual object expression images to obtain a screened image set.
In some embodiments, a screening unit, comprises:
the grouping subunit is used for grouping the expression images of the virtual objects in the image set to obtain more than one image subset;
a seventh determining subunit, configured to determine a target image subset from the more than one image subsets, and use the virtual object expression image included in the target image subset as the screened virtual object expression image.
In some embodiments, the grouping subunit is specifically configured to:
grouping the expression images of the virtual objects in the image set according to a specified number to obtain a plurality of candidate image subsets, wherein the specified number is the number of the expression images of the virtual objects contained in each candidate image subset;
extracting expression characteristic vectors of the expression images of the virtual objects;
calculating a vector distance value between expression feature vectors of every two virtual object expression images in each candidate image subset;
determining a subset of images from the plurality of candidate subsets of images based on the vector distance values.
In some embodiments, the grouping subunit is specifically configured to:
grouping the expression images of the virtual objects in the image set according to a specified number to obtain a plurality of candidate image subsets, wherein the specified number is the number of the expression images of the virtual objects contained in each candidate image subset;
extracting expression characteristic vectors of the expression images of the virtual objects;
calculating a vector distance value between expression feature vectors of every two virtual object expression images in each candidate image subset;
determining a first virtual object expression image with the largest difference in a target candidate image subset based on vector distance values of expression feature vectors corresponding to every two virtual object expression images in the target candidate image subset in the plurality of candidate image subsets; acquiring first vector distance values between other virtual object expression images in the target candidate image subset except the first virtual object expression image, and second vector distance values between the first virtual object expression image and other virtual object expression images in the target candidate image subset respectively; and if the second vector distance values are all larger than the first vector distance value preset value, determining that the target candidate image subset is combined into the image subset.
In some embodiments, the apparatus further comprises:
and the second determining unit is used for determining the virtual object expression image with the maximum difference in the target image subset based on the vector distance value of the expression feature vector corresponding to every two virtual object expression images in the target image subset, and taking the virtual object expression image with the maximum difference as a verification answer.
In some embodiments, the apparatus further comprises:
and the third determining unit is used for determining the virtual object expression image with the vector distance value within a preset range as a verification answer based on the vector distance value of the expression feature vector corresponding to every two virtual object expression images in the target image subset.
In some embodiments, the apparatus further comprises:
and the comparison unit is used for comparing the expression image of the virtual object corresponding to the operation result with the verification answer, if the expression image of the virtual object is consistent with the verification answer, the verification is passed, and if the expression image of the virtual object is inconsistent with the verification answer, the verification fails.
Accordingly, embodiments of the present application further provide a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the method for information verification provided in any of the embodiments of the present application.
Correspondingly, the embodiment of the application also provides a storage medium, wherein the storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to execute the above information verification method.
The method and the device for verifying the information of the graphical user interface send an information verification request to a server through operation triggering of the graphical user interface, so that the server returns a virtual object expression image and verification prompt information to a terminal according to the information verification request, after the terminal receives the virtual object expression image and the verification prompt information, a verification page is generated and displayed on the graphical user interface, an operation result is obtained according to operation of a user on the verification page, the verification result is further determined based on the operation result, and therefore the function of the graphical user interface corresponding request is completed according to the verification result. The security of information authentication can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic view of a scenario of an information verification system according to an embodiment of the present application.
Fig. 2 is a schematic flowchart of an information verification method according to an embodiment of the present disclosure.
Fig. 3 is a schematic view of an application scenario of a method for information verification according to an embodiment of the present application.
Fig. 4 is a schematic application scenario diagram of another information verification method according to an embodiment of the present application.
Fig. 5 is a schematic application scenario diagram of another information verification method according to an embodiment of the present application.
Fig. 6 is a flowchart illustrating another information verification method according to an embodiment of the present application.
Fig. 7 is a flowchart illustrating another information verification method according to an embodiment of the present application.
Fig. 8 is a schematic view of an image scene generated by a method for information verification according to an embodiment of the present application.
Fig. 9 is a schematic diagram of an image scene generated by another information verification method according to an embodiment of the present application.
Fig. 10 is a flowchart illustrating another information verification method according to an embodiment of the present application.
Fig. 11 is a schematic application scenario diagram of another information verification method according to an embodiment of the present application.
Fig. 12 is a schematic application scenario diagram of another information verification method according to an embodiment of the present application.
Fig. 13 is a block diagram of an information verification apparatus according to an embodiment of the present application.
Fig. 14 is a block diagram of another information verification apparatus according to an embodiment of the present disclosure.
Fig. 15 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides an information verification method, an information verification device, a storage medium and computer equipment. Specifically, the method for information verification according to the embodiment of the present application may be executed by a computer device, where the computer device may be a terminal or a server. The terminal can be a terminal device such as a smart phone, a tablet Computer, a notebook Computer, a touch screen, a Personal Computer (PC), a Personal Digital Assistant (PDA), and the like. The server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as cloud service, a cloud database, cloud computing, a cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, CDN, and a big data and artificial intelligence platform.
For example, referring to fig. 1, fig. 1 is a schematic view of a scenario of an information verification system provided in an embodiment of the present application, and the scenario includes a terminal and a server, where the terminal and the server are connected through a network. The network includes network entities such as routers and gateways.
The terminal can send a game acquisition request to the server through a graphical user interface, the graphical user interface at least displays user personal information and/or user account information, and the game acquisition request indicates the server to return a game task according to the user personal information and/or the user account information; when a game task returned by the server according to the game acquisition request is received, displaying a game operation page on the graphical user interface according to the game task; determining a game task execution result based on the touch operation on the game operation page; verifying the game task execution result to obtain a verification result; and when the verification result indicates that the verification is successful, sending a function execution request of the graphical user interface to the server.
The server can acquire user information carried in a game acquisition request when receiving the game acquisition request sent by the terminal; determining a target game matched with the user information from a preset game set, wherein the preset game set comprises a plurality of preset games; determining a game task based on the target game; and responding to the game acquisition request to send the game task to the terminal.
The above example of fig. 1 is only an example of a system architecture for implementing the embodiment of the present invention, and the embodiment of the present invention is not limited to the system architecture shown in fig. 1, and various embodiments of the present invention are proposed based on the system architecture.
The following are detailed below. It should be noted that the following description of the embodiments is not intended to limit the preferred order of the embodiments.
The embodiment of the present application provides a method for information verification, which may be executed by a terminal or a server, and the embodiment of the present application is described by taking an example that the method for information verification is executed by a terminal.
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating another information verification method according to an embodiment of the present disclosure. The specific flow of the information verification method can be as follows:
101. and sending an information verification request to the server.
In the embodiment of the application, the information verification request can be sent to the server through the graphical user interface. The graphical user interface refers to an interface for executing related functions through user information, and the related functions may include multiple functions, such as user login, user registration, user information change, activity confirmation, login exception, user account password recovery, and the like. Accordingly, the graphical user interface refers to a user interface, such as a user login interface, a user registration interface, etc., that performs the above-described functions. The user login interface can complete the user login function through user information; the user registration interface can complete the user registration function through the user information. The graphical user interface may also implement more functions related to user information, which are not described herein in detail.
Wherein the verification information comprises a verification code that can be used to distinguish whether the operator is a computer or a public fully automated program of a person. The information authentication request instructs the server to transmit the authentication information to the terminal.
Specifically, the graphical user interface may include: and the function control can be used for triggering the sending of the information verification request to the server.
For example, current graphical user interfaces may be used to perform user login functions, with the graphical user interface exposed with functionality controls. After the user inputs the login information through the graphical user interface, the function control can be clicked, and therefore an information verification request is triggered to be sent to the server.
102. And when receiving the virtual object expression image and the verification prompt information returned by the server according to the information verification request, displaying a verification page on the graphical user interface according to the virtual object expression image and the verification prompt information.
In an embodiment of the present application, the verification information may include: the expression image of the virtual object and/or the verification prompt message. And the verification prompt information is used for prompting the association relationship between the expression image of the virtual object and the verification requirement.
The virtual object expression image refers to a virtually generated face image, the virtual object expression image is different from a real face image in order to protect privacy of a user, and meanwhile, the generated virtual object expression image can guarantee sufficient face reality and naturalness in order to guarantee the vivid effect of the virtual object expression image.
The verification prompt information refers to a problem generated through the expression image of the virtual object, and indicates a user to perform verification operation on a verification code containing the expression image of the virtual object.
For example, please refer to fig. 3, and fig. 3 is a schematic view illustrating an application scenario of a method for information verification according to an embodiment of the present application. In the graphical user interface shown in fig. 3, there are included: a user information page, a verification page, and a functionality control. The user information page is used for inputting user information by a user; the function control is used for triggering and sending an information verification request to the server; the verification page shows: and verifying the prompt information and the expression image of the virtual object. The verification prompt information may be "please select the most distinctive expression picture", that is, the verification requirement is: one or more virtual object expression images are selected from the virtual object expression images of the current verification page. The expression difference between the selected one or more virtual object expression images and the rest unselected virtual object expression images is larger. In fig. 3, the virtual object expression image includes, in order from left to right: a first virtual object expression image P1, a second virtual object expression image P2, and a third virtual object expression image P3. Further, when the user sees the verification prompt information of the current verification page: after "please select the expression picture with the largest difference", the user may select one or more virtual object expression images from the plurality of virtual object expression images to obtain an operation result.
103. And generating an operation result based on the operation on the verification page.
After the terminal displays the verification page, the user can operate the verification page. Specifically, the user can operate the content in the verification page according to the verification prompt information, so as to obtain an operation result.
In some embodiments, to improve the user experience, the number of virtual object expression images in the verification page may be multiple, and the multiple virtual object expression images may be: and at this time, the verification prompt information can instruct the user to screen the virtual object expression images meeting the specified conditions from the plurality of virtual object expression images. Wherein, the satisfaction of the specified condition refers to the satisfaction of the condition of the verification prompt information. The step "generate operation result based on operation on verification page" may include the following operations:
responding to the selection operation of a user on a plurality of virtual object expression images in the verification page, and determining a target virtual object expression image from the plurality of virtual object expression images;
and obtaining an operation result based on the expression image of the target virtual object.
The selection operation refers to the user selecting the virtual object expression image in the verification page, for example, the user may click the virtual object expression image in the verification page to select the virtual object expression image.
For example, with continuing reference to fig. 3, the verification page shown in fig. 3 includes 3 images of the expressions of the virtual object, which are respectively: a first virtual object expression image P1, a second virtual object expression image P2, and a third virtual object expression image P3. When the user sees the verification prompt information of the current verification page: after "please select the most different expression picture", a selection operation may be performed on the second virtual object expression image P2. In the first virtual object expression image P1, the second virtual object expression image P2, and the third virtual object expression image P3, the expression difference between the second virtual object expression image P2 and the first virtual object expression image P1 is large, and the expression difference between the second virtual object expression image P2 and the third virtual object expression image P3 is also large, so that the user can pick out the second virtual object expression image P2 as an answer to the verification prompt information, and obtain the current user operation result.
For another example, referring to fig. 3 again, the verification page shown in fig. 3 includes 3 virtual object expression images, which are respectively: a first virtual object expression image P1, a second virtual object expression image P2, and a third virtual object expression image P3. When the user sees the verification prompt information of the current verification page: after "please pick out similar expression pictures", the selection operation may be performed on the first virtual object expression image P1 and the third virtual object expression image P3. In the first, second, and third virtual object expression images P1, P2, and P3, the expression difference between the virtual object expression image P2 and the first virtual object expression image P1 is large, the expression difference between the virtual object expression image P2 and the third virtual object expression image P3 is also large, and the expression difference between the first virtual object expression image P1 and the third virtual object expression image P3 is small, so that the user can select the first virtual object expression image P1 and the third virtual object expression image P3 as answers to the verification prompt information, and obtain the current user operation result.
In some embodiments, in order to improve the user experience, the number of the virtual object expression images in the verification page may be one, and at this time, the verification prompt information may instruct the user to select an expression keyword matching the virtual object expression image from the plurality of expression keywords. The step "generate operation result based on operation on verification page" may include the following operations:
responding to the selection operation of a user on the plurality of expression keywords in the verification page, and determining a target expression keyword from the plurality of expression keywords;
and obtaining an operation result based on the target expression keywords.
The expression keywords are used to represent expressions of the expression images of the virtual object, and for example, the expression keywords may include: joy, anger, frustration, anger, cry, sadness, etc.
In this embodiment, the selection operation refers to that the user selects an expression keyword in the verification page, for example, the user may click the expression keyword in the verification page to select the expression keyword.
For example, referring to fig. 4, fig. 4 is a schematic view of an application scenario of another information verification method according to an embodiment of the present application. In the graphical user interface shown in fig. 4, there are included: a user information page, a verification page, and a functionality control. The user information page is used for inputting user information by a user; the function control is used for triggering and sending an information verification request to the server; the verification page shows: and verifying the prompt information and the expression image of the virtual object. The verification prompt information can be expression keywords matching with the following face images, and the expression keywords are selected from the verification prompt information: ", the virtual object expression image includes: the first virtual object expression image. The user can select one expression keyword from the plurality of expression keywords as a target expression keyword according to the verification prompt information of the verification page, and an operation result can be obtained according to the target expression keyword.
In some embodiments, in order to improve the user experience, the virtual object emoticon image may include a plurality of virtual object emoticon images, and the verification prompt information may be used to prompt the user to select a virtual object emoticon image matching the preset emoticon keyword from the plurality of virtual object emoticon images. The step "generating operation results based on the operation on the verification page" may include the following operations:
responding to the selection operation of a user on the expressions of the virtual objects in the verification page, and determining a target virtual object expression image from the plurality of virtual object expression images;
and obtaining an operation result based on the expression image of the target virtual object.
The selection operation refers to the user selecting the virtual object expression image in the verification page, for example, the user may click the virtual object expression image in the verification page to select the virtual object expression image.
For example, the verification page may include 3 images of the virtual object expression, which are: a first virtual object expression image, a second virtual object expression image, and a third virtual object expression image. When the clicking operation of the user on the first virtual object expression image is detected, the fact that the user selects the first virtual object expression image as the target virtual object expression image can be determined, the first virtual object expression image is used as a response to the verification prompt information, and a current user operation result is obtained.
104. And sending the operation result to the server so that the server verifies the operation result to obtain a verification result.
Further, an operation result of the user operating based on the verification page is sent to the server, and the operation result is verified through the server.
Wherein, the verification result may include: and if the verification is successful or the verification is failed, indicating that the operation result of the successful verification is the same as the correct answer of the verification prompt information, and indicating that the operation result of the failed verification is different from the correct answer of the verification prompt information.
105. And receiving a verification result sent by the server, and if the verification result indicates that the verification is successful, sending a function execution request of the graphical user interface to the server.
And after receiving the verification result sent by the server, judging whether the verification result is successful.
If the verification result is that the verification is successful, which indicates that the verification of the verification code is completed, a function execution request of the current graphical user interface may be sent to the server, for example, if the current graphical user interface executes user login, a user login request is sent to the server, and the like.
In some embodiments, to improve information verification efficiency, the method may further include the steps of:
if the verification result indicates that the verification fails, displaying an image switching control on a verification page;
responding to the triggering operation aiming at the image switching control, and sending an image switching request to a server;
and when receiving the virtual object expression image returned by the server for the image switching request, updating the verification page based on the virtual object expression image.
The image switching control is used for triggering the terminal to send an image switching request to the server, wherein the image switching request indicates to acquire the expression image of the virtual object from the server again and replace the expression image of the virtual object in the current terminal verification page for displaying.
For example, referring to fig. 5, fig. 5 is a schematic view of an application scenario of another information verification method according to an embodiment of the present application. In the verification page shown in FIG. 5, the verification result can fail verification, and then "verify failed! The user can click the image switching control to send an image switching request to the server, and when receiving a virtual object expression image returned by the server according to the image switching request, the virtual object expression image in the current verification page can be replaced to be displayed, so that the user can perform selection operation again until the verification task is completed, and specifically, all pictures in the verification page can be replaced, or only part of the pictures can be replaced.
The embodiment of the application discloses an information verification method, which comprises the following steps: sending an information verification request to a server through a graphical user interface; when receiving a virtual object expression image and verification prompt information returned by the server according to the information verification request, displaying a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information; generating an operation result based on the operation on the verification page; sending the operation result to the server to enable the server to verify the operation result to obtain a verification result; and receiving a verification result sent by the server, and if the verification result indicates that the verification is successful, sending a function execution request of the graphical user interface to the server. Thus, the security of information authentication can be improved.
The embodiment of the present application provides another information verification method, which can be executed by a server or a terminal, and the information verification method is executed by the terminal as an example in the embodiment of the present application.
Referring to fig. 6, fig. 6 is a schematic flowchart illustrating another information verification method according to an embodiment of the present disclosure. The specific flow of the information verification method can be as follows:
201. and sending an information verification request to the server through the graphical user interface.
In an embodiment of the present application, the graphical user interface may include: and the user can trigger the terminal to send an information verification request to the server through the operation of the function control, and the information verification request instructs the server to send the expression image of the virtual object to the terminal.
202. And when receiving the virtual object expression image returned by the server according to the information verification request, displaying a verification page on the graphical user interface according to the virtual object expression image.
Further, when the terminal receives the virtual object expression image returned by the server for the information verification request, verification prompt information can be generated according to the virtual object expression image.
For example, when the server returns a plurality of virtual object expression images according to the verification information request, the terminal may generate verification prompt information according to facial expressions of the plurality of virtual object expression images, for example, the verification prompt information may be: and selecting a virtual object expression image with similar facial expression, or selecting a virtual object expression image with the largest facial expression difference in the virtual object expression image, and the like.
The verification prompt information is generated at the terminal, so that the pressure of the server side can be relieved, and on the other hand, the data transmission quantity between the server and the terminal can be reduced, and the data transmission speed is improved, so that the verification of the verification information can be completed quickly.
After the terminal generates the verification prompt information according to the virtual object expression image, the verification prompt information and the virtual object expression image can be displayed on a verification page, so that a user can conveniently perform selection operation.
203. And generating an operation result based on the operation on the verification page, and verifying the operation result to obtain a verification result.
Specifically, an operation result is generated according to the operation of the user on the verification page, and the operation result comprises the target virtual object expression image selected by the user.
Furthermore, the operation result is verified, that is, the operation result is compared with the correct answer of the verification prompt message, so that the verification result can be obtained.
For example, if the operation result is the same as the correct answer of the verification prompt message, the verification result may be determined to be successful; if the operation result is not the same as the correct answer of the verification prompt message, the verification result can be determined to be verification failure.
204. And if the verification result indicates that the verification is successful, sending a function execution request of the graphical user interface to the server.
When the verification result indicates that the verification is successful, the verification of the verification information is completed, and then a function execution request of the graphical user interface can be sent to the server to complete the to-be-executed function of the current graphical user interface.
The embodiment of the application discloses an information verification method, which comprises the following steps: sending an information verification request to a server through a graphical user interface; when receiving a virtual object expression image returned by the server according to the information verification request, displaying a verification page on the graphical user interface according to the virtual object expression image, wherein the verification page at least comprises: the virtual object expression image and verification prompt information generated by the terminal according to the virtual object expression image; generating an operation result based on the operation on the verification page, and verifying the operation result to obtain a verification result; and if the verification result indicates that the verification is successful, sending a function execution request of the graphical user interface to the server. The pressure of the server side can be relieved by generating the verification prompt information through the terminal, and meanwhile, the safety of information verification can be improved by realizing verification code verification through the identification of the face image.
The embodiment of the present application provides another information verification method, which can be executed by a server or a terminal, and the information verification method is executed by the server as an example in the embodiment of the present application.
Referring to fig. 7, fig. 7 is a flowchart illustrating another information verification method according to an embodiment of the present disclosure. The specific flow of the information verification method can be as follows:
301. and screening out the expression image of the virtual object from the image set in response to the information verification request sent by the terminal.
Wherein, the information verification request instructs the server to send the verification code, namely the verification information, to the terminal, and the verification information at least includes: the virtual object expression image.
The image set comprises a plurality of virtual object expression images, the virtual object expression images refer to virtual object expression images generated by the server, and the virtual object expression images are similar to real face images but have differences.
In some embodiments, in order to protect the privacy information of the real user image, before the step "filtering out the expression image of the virtual object from the image set", the following steps may be further included:
collecting sample noise data;
generating a virtual object expression image based on the sample noise data;
and obtaining a virtual object expression image according to the virtual object expression image, and obtaining an image set based on the virtual object expression image.
The sample noise data refers to an input of the image generation network, and for example, the sample noise data may be a noise vector conforming to a normal distribution. The sample noise data is input into an image generation network, the image generation network is utilized to process the sample noise data, and the virtual object expression image is output.
In the embodiment of the application, in order to ensure that the expression image of the virtual object is different from the real face image and ensure the face reality and naturalness of the expression image of the virtual object, the generation confrontation network model can be used for generating the expression image of the virtual object.
Specifically, the generation of the countermeasure network model mainly comprises two parts: generating a model and a discriminant model. The generation of the model means that data such as characters, images and videos can be generated from input data through model training according to tasks. The generated model is used for generating a model of the specified distribution data, and the generated model has the functions of capturing the distribution of the sample data and converting the distribution condition of the original input information into the sample of the specified distribution through parameter conversion in the maximum likelihood estimation.
The discrimination model determines data such as an image generated by the generation model, and determines whether the data is data in real training data.
Further, the generation model and the discrimination model in the generation countermeasure network model can play a game with each other, and the simple mode of the game is as follows: the generated model generates a plurality of pictures- > distinguishing the pictures generated by the model learning and distinguishing and the real pictures- > the generated model adjusts the model parameters according to the distinguishing model to generate a new picture- > distinguishing the model and then learns and distinguishes the generated pictures and the real pictures, and therefore the generated model can become a perfect model until the model parameters of the generated model and the distinguishing model are optimal.
For example, please refer to fig. 8, fig. 8 is a schematic diagram of an image scene generated by a method for information verification according to an embodiment of the present disclosure. In fig. 8, the random noise may be: normally distributed noise data (i.e., uniform class-one distribution data, since the training model is transformed according to the distribution, the model functions to transform the class-one distribution into the data distribution required by the task). Noise data may first be input into the generation network; the noise data can generate virtual image data through the generating network, and because the aim of the embodiment is to make the images which cannot be distinguished by the identifying network as far as possible, the embodiment can combine the identifying network to carry out model training, so that the virtual image effect generated by the generating network is more vivid through the training.
The generated image output by the generated network and the real image are input into the identification network, and then the final identification result output is obtained through the model parameter calculation of the identification network, and the output can be: the parameter value between 0 and 1, 0 can represent the generated image, 1 can represent the real image, and for the generated image generated by the generating network, it is desirable to identify that the network can output an output value close to 0 as much as possible so as to effectively judge whether the generated image is true or false.
By generating the confrontation network model in this embodiment, a plurality of virtual object expression images can be generated, and an image set including the plurality of virtual object expression images is obtained.
In some embodiments, in order to ensure the facial expression diversity of the expression image of the virtual object, the step "obtaining the expression image of the virtual object according to the expression image of the virtual object" may include the following operations:
determining a target facial expression, and extracting expression characteristic data of the target facial expression;
and fusing the virtual object expression image and the expression characteristic data to obtain a virtual object expression image corresponding to the virtual object expression image.
The target facial expression refers to a facial image with the target facial expression, a plurality of target facial expressions can be obtained from a facial database, and different target facial expressions correspond to different expression keywords.
For example, the target facial expression may include: facial expression A, facial expression B, facial expression C and the like. The expression keywords corresponding to the facial expression a may be: for the sake of mind, the expression keywords corresponding to the facial expression B may be: sadness, the expression keyword corresponding to the facial expression C may be: cry, etc.
Further, for the target facial expression, expression feature data of the target facial expression may be extracted, and then a new virtual object expression image, that is, a processed facial image, is generated based on the expression feature data and the sample virtual object expression image generated in the previous step, where the processed facial image carries the target facial expression.
For example, please refer to fig. 9, fig. 9 is a schematic diagram of an image scene generated by another information verification method according to an embodiment of the present application. The target expression image refers to an image with a target expression, and the target expression image is processed through an expression feature extraction network, so that the target expression feature of the target expression image can be extracted. Further, the target expression feature and the generated image a are used as input of a generation network, the target expression feature is fused by the generation network to generate the image a, a generated image B is obtained by output, and then the generated image B and the real image are identified by an identification network, wherein the identification process can refer to the above description. The generation image A refers to a sample virtual object expression image generated by generating a confrontation network model, and the generation image B refers to a processed virtual object expression image with a fusion target expression, so that virtual object expression images with various expressions can be obtained.
In some embodiments, in order to ensure that the generated verification code brings a good experience to the user, in the step "obtaining the image set based on the expression image of the virtual object", the method may further include the following steps:
and screening the virtual object images according to the definition of the virtual object expression images and/or the abnormal information of the virtual object expression images to obtain a screened image set.
Specifically, in order to improve the user experience, the step "filtering out a virtual object expression image from an image set" may include the following operations:
grouping the expression images of the virtual objects in the image set to obtain more than one image subset;
and determining a target image subset from more than one image subsets, and taking the virtual object expression images contained in the target image subset as the screened virtual object expression images.
Specifically, acquiring definition information and expression abnormal information of the expression image of each processed sample virtual object; screening the processed sample virtual object expression images in the image set based on the definition information and the expression abnormal information to obtain a plurality of target sample virtual object expression images; and dividing the expression images of the target sample virtual objects to obtain a plurality of image subsets.
The definition information includes the definition of the expression image of the virtual object, and in order to enable a user to clearly identify the expression image of the virtual object, the expression image of the virtual object with lower definition needs to be removed.
The expression abnormality means that the expression image of the virtual object cannot be identified, that is, no corresponding expression keyword exists. The expression anomaly information may include expression keywords of each processed sample virtual object expression image.
Further, according to the definition information and the expression abnormal information, the image definition in the expression image of the processed sample virtual object does not meet the preset definition and the image with the abnormal expression is removed, the remaining image definition meets the preset definition, and the image with the normal expression can be used as the expression image of the target virtual object. Then, the expression image of the target virtual object is divided, so that a plurality of image subsets can be obtained, and each image subset can be used as a group of verification codes for verifying the user.
In some embodiments, to improve the user experience, the step "dividing the target sample virtual object expression images to obtain a plurality of target image subsets" may include the following operations:
grouping the expression images of the virtual objects in the image set according to the specified number to obtain a plurality of candidate image subsets;
extracting expression characteristic vectors of expression images of each virtual object;
calculating a vector distance value between expression characteristic vectors of every two virtual object expression images in each candidate image subset;
an image subset is determined from a plurality of candidate image subsets based on the vector distance values.
In this embodiment of the present application, in order to ensure that the difficulty level of the verification code is moderate, the specified number may be designed as: 3, to avoid that too many images take more time for the user to recognize.
Specifically, all target sample virtual object expression images are combined according to the designated data, for example, the target sample virtual object expression images may include: combining the target sample virtual object expression images based on the specified number to obtain a first candidate image subset, including: a first virtual object expression image, a second virtual object expression image, and a third virtual object expression image; a second subset of candidate images comprising: a second virtual object expression image, a third virtual object expression image, and a fourth virtual object expression image; a third subset of candidate images comprising: a first virtual object expression image, a second virtual object expression image, and a fourth virtual object expression image; a fourth subset of candidate images comprising: a first virtual object expression image, a third virtual object expression image, and a fourth virtual object expression image.
The expression feature vectors of the expression images of the target sample virtual object are extracted, and the image features can be extracted through the trained network model. Firstly, preprocessing a target sample virtual object expression image, including image cutting and the like, to obtain a processed image meeting the network model input condition, then inputting the processed image into a convolutional neural network model, performing feature extraction, performing normalization processing on extracted feature data, and finally obtaining an expression feature vector.
In the embodiment of the application, the trained network model may be formed by 30 layers of convolutional neural networks, training is completed on a training set with the number of 400000, an SGD optimization algorithm is used to update parameters, the learning rate is 0.0002, a total of 20 epochs (a period of forward transfer and a period of reverse transfer of all training samples) are trained, and finally a Triplet Loss is used as a Loss function. Finally, the trained network model can output a low-dimensional expression characterization vector for each input image.
The triple Loss is a Loss function in deep learning and is used for training samples with small differences, such as human faces and the like, Feed data comprises an Anchor (Anchor) example, a Positive (Positive) example and a Negative (Negative) example, and similarity calculation of the samples is achieved by optimizing that the distance between the Anchor example and the Positive example is smaller than the distance between the Anchor example and the Negative example.
Further, for the target sample virtual object expression images in each candidate subset, a distance value between expression feature vectors of every two target sample virtual object expression images is calculated.
For example, a first subset of candidate images includes: the expression feature vector of the first virtual object expression image can be: a, the expression feature vector of the expression image of the second virtual object may be: b, the expression feature vector of the expression image of the third virtual object may be: c. further, the distance value between the expression feature vectors of the first virtual object expression image and the second virtual object expression image obtained by calculation may be: and the distance value between the expression feature vectors of the first virtual object expression image and the third virtual object expression image can be: and the distance ac, the distance value between the expression feature vectors of the second virtual object expression image and the third virtual object expression image may be: a distance bc.
In the embodiment of the application, in order to ensure that the virtual object expression image with larger expression difference exists in the image subset so as to be distinguished quickly, when the image subset is determined, the virtual object expression image with larger expression difference than other virtual object expression images can be ensured to exist in the image subset.
For example, a preset distance value may be set, the distance between the expression images of the virtual objects in the candidate image subset is compared with the preset distance value, and if there are expression feature vectors of two expression images of the virtual objects greater than the preset distance value, it may be determined that the candidate image subset is combined into an image subset, which may be used as the verification code.
In some embodiments, in order to filter out verification information that facilitates user operation, the step "determining a subset of images from a plurality of candidate subsets of images based on vector distance values" may include the following operations:
determining a first virtual object expression image with the largest difference in a target candidate image subset based on vector distance values of expression feature vectors corresponding to every two virtual object expression images in the target candidate image subset in the plurality of candidate image subsets;
acquiring first vector distance values between other virtual object expression images except the first virtual object expression image in the target candidate image subset and second vector distance values between the first virtual object expression image and other virtual object expression images in the target candidate image subset respectively;
and if the second vector distance values are all larger than the preset value of the first vector distance value, determining that the target candidate image subset is combined into the image subset.
For example, the target candidate image subset includes: the expression feature vector of the first virtual object expression image can be: a, the expression feature vector of the expression image of the second virtual object may be: b, the expression feature vector of the expression image of the third virtual object may be: c. further, the distance value between the expression feature vectors of the first virtual object expression image and the second virtual object expression image obtained by calculation may be: and the distance value between the expression feature vectors of the first virtual object expression image and the third virtual object expression image can be: and the distance ac, the distance value between the expression feature vectors of the second virtual object expression image and the third virtual object expression image may be: a distance bc.
Further, the anisotropic values are compared with each other, a maximum distance value is screened out, and the first virtual object expression image can be determined according to the maximum distance value. Then, a first vector distance value between other virtual object expression images except the first virtual object expression image in the target candidate image subset and a second vector distance value between the first virtual object expression image and each other virtual object expression image are calculated.
And taking the target candidate image subset with the second vector distance values larger than the preset numerical value of the first vector distance value as an image subset.
In some embodiments, to improve validation effectiveness, the step of "screening out a virtual object expression image from the image set" may include: screening a plurality of virtual object expression images from the image set; the verification prompt information is used for instructing a user to screen a virtual object expression image with the largest expression difference from the plurality of virtual object expression images;
the method may further comprise the operations of:
and determining the virtual object expression image with the maximum difference in the target image subset based on the vector distance value of the expression characteristic vector corresponding to every two virtual object expression images in the target image subset, and taking the virtual object expression image with the maximum difference as a verification answer.
For example, the subset of target images includes: the vector distance value of the first virtual object expression image and the second virtual object expression image obtained by calculation may be: a first value; the vector distance value between the first virtual object expression image and the third virtual object expression image may be: a second value; the vector distance value between the third virtual object expression image and the second virtual object expression image may be: and if the first numerical value is larger than the second numerical value and the second numerical value is larger than the third numerical value, determining the first virtual object expression image as a verification answer.
In some embodiments, to improve validation effectiveness, the step of "screening out a virtual object expression image from the image set" may include: screening a plurality of virtual object expression images from the image set; the verification prompt information is used for instructing a user to screen virtual object expression images with consistent expressions from the multiple virtual object expression images;
the method may further comprise the steps of:
and determining the virtual object expression image with the vector distance value within a preset range as a verification answer based on the vector distance value of the expression characteristic vector corresponding to every two virtual object expression images in the target image subset.
For example, the subset of target images includes: the vector distance value of the first virtual object expression image and the second virtual object expression image obtained by calculation may be: a first value; the vector distance value between the first virtual object expression image and the third virtual object expression image may be: a second value; the vector distance value between the third virtual object expression image and the second virtual object expression image may be: a third value. If the first numerical value and the second numerical value are within the preset range, the first virtual object expression image and the second virtual object expression image can be determined as verification answers.
In some embodiments, in order to meet different user requirements, it may be set that a plurality of expression images of the virtual object are included in a group of verification codes, and then the step "sift out the expression images of the virtual object from the image set" may include the following operations:
determining a target image subset from a plurality of image subsets;
and taking the target sample virtual object expression image in the target image subset as a virtual object expression image.
For example, after receiving an information verification request sent by a terminal, a group of image subsets can be arbitrarily selected from the image sets, and a target sample virtual object expression image in the target image subset is used as a virtual object expression image to generate a verification code.
Alternatively, in some embodiments, it may be set that the set of verification codes includes a virtual object expression image, and the step "sift out the virtual object expression image from the image set" may include the following operations:
a virtual object expression image is determined from the plurality of sample virtual object expression images.
In this embodiment, the image subset does not need to be divided, processing resources can be saved, and after an information verification request sent by the terminal is received, one virtual object expression image can be arbitrarily selected from the generated plurality of sample virtual object expression images to generate the verification code.
302. And sending the expression image of the virtual object and the verification prompt information to the terminal so that the terminal displays a verification page on the graphical user interface according to the expression image of the virtual object and the verification prompt information.
And the verification prompt information is used for prompting the association relation between the expression image of the virtual object and the verification requirement.
Further, after determining the virtual object expression image, verification prompt information may be generated according to the virtual object expression image.
For example, if the number of the expression images of the virtual object is multiple, the verification prompt information may instruct the user to select the facial image with the largest difference from the expression images of the virtual object, or the verification prompt information may instruct the user to select the facial image with similar expression from the expression images of the virtual object.
For another example, if the number of virtual object expression images is one, the verification prompt information may instruct the user to select an expression keyword or the like that matches the virtual object expression image.
Further, the virtual object expression image and the verification prompt information are sent to the terminal in response to the information verification request, so that the terminal displays a verification page on the graphical user interface according to the virtual object expression image and the verification prompt information.
After the face image is determined and the verification prompt information is generated according to the face image, the current verification code including the face image and the verification prompt information can be determined. The authentication code is then sent to the terminal.
In some embodiments, to reduce the difficulty of the user operation, the method may further include the steps of:
when an image switching request sent by a terminal is received, acquiring a vector distance value between every two expression characteristic vectors of the expression images of the virtual object in each image subset;
determining an image subset corresponding to expression feature vectors of the virtual object expression images with the largest difference of vector distance values;
and generating verification prompt information based on the virtual object expression image in the image subset, and sending the virtual object expression image and the verification prompt information to the terminal.
The image switching request instructs the server to resend the expression image of the virtual object to the terminal, that is, reselects the image subset which does not include the expression image of the virtual object displayed by the current terminal from the plurality of image subsets.
Specifically, a vector distance value between expression feature vectors of every two virtual object expression images in each image subset is obtained, a maximum vector distance value in each image subset is determined, then the maximum vector distance values in each image subset are compared, and a maximum vector distance value is obtained, namely, the vector distance value difference is maximum. Therefore, an image subset corresponding to the expression feature vector of the virtual object expression image with the largest vector distance value difference can be obtained, and the expression feature vector of the virtual object expression image in the subset has the largest distance value and the largest expression difference, so that the user can easily distinguish the images.
Further, verification prompt information is generated based on the virtual object expression image in the image subset, and the virtual object expression image and the verification prompt information are sent to the terminal.
In some embodiments, to ensure that the user continues to perform the relevant task, the method may further comprise the steps of:
when an operation result sent by a terminal is received, verifying the operation result to obtain a verification result, wherein the operation result is an operation result of a user operating a verification page;
and sending the verification result to the terminal.
For example, the verification hint information may be: please select the most distinctive facial expression picture; the virtual object expression image includes: a first virtual object expression image, a second virtual object expression image, and a third virtual object expression image. The user may select the first virtual object expression image as the target virtual object expression image, that is, the operation result is the first virtual object expression image, and the correct answer of the verification prompt message may be the first virtual object expression image, and then it may be determined that the operation result is the same as the correct answer of the verification prompt message, that is, the verification is successful.
For another example, the verification hint information may be: please select the most distinctive facial expression picture; the virtual object expression image includes: a first virtual object expression image, a second virtual object expression image, and a third virtual object expression image. The user may select the second virtual object expression image as the target virtual object expression image, that is, the operation result is the first virtual object expression image, and the correct answer of the verification prompt message may be the first virtual object expression image, and then it may be determined that the operation result is different from the correct answer of the verification prompt message, that is, the verification fails. And then, feeding back the verification result to the terminal so that the user can continuously perform subsequent operations.
303. And receiving an operation result sent by the terminal.
The operation result can be generated according to the operation of the user on the verification page, and then the verification is performed on the operation result, so that the operation result can be obtained.
The embodiment of the application discloses an information verification method, which comprises the following steps: when a game acquisition request sent by a terminal is received, user information carried in the game acquisition request is acquired; determining a target game matched with the user information from a preset game set, wherein the preset game set comprises a plurality of preset games; determining a game task based on the target game; and responding to the game acquisition request to send the game task to the terminal. The complexity of a short message verification code mode is avoided, and the convenience of a verification code operation mode is improved.
Based on the above description, the method of information verification of the present application will be further described below by way of example. Referring to fig. 10, fig. 10 is a schematic flowchart of another information verification method provided in the embodiment of the present application, taking the information verification method as applied to interaction between a terminal and a server, and taking an application scenario as a user registration scenario as an example, a specific flow may be as follows:
401. and the terminal sends a verification code acquisition request to the server through the registration operation of the user on the user registration interface.
The user registration interface is used for implementing the function of executing user registration.
Referring to fig. 11, fig. 11 is a schematic view of an application scenario of another information verification method according to an embodiment of the present application. In the user registration interface shown in fig. 10, the following are included: user information input page, register control. The user information input page is used for inputting personal information by a user, and the registration control is used for sending a verification code acquisition request to the server. After the user finishes inputting the personal information of the user on the user information input page, the user can click a registration button to trigger the terminal to send an authentication code acquisition request to the server.
402. The server receives a verification code acquisition request, determines a target image subset from the plurality of image subsets according to the verification code acquisition request, and generates a verification problem based on the virtual face image in the image subset.
Each image subset comprises at least one virtual face image, the virtual face images can be generated in advance, and the virtual face images do not comprise face images which exist really, so that privacy disclosure of users is avoided.
When the server receives a verification code acquisition request sent by the terminal, any one image subset can be selected from a plurality of pre-generated image subsets to obtain a target image subset.
For example, the subset of images may include: the first image subset, the second image subset and the third image subset may be selected to be a target image subset when receiving a request for acquiring a verification code.
Further, virtual face images in the target image subset are obtained, verification problems (equivalent to verification prompt information) are generated according to the virtual face images, and the verification problems can be generated according to the number of the virtual face images in the target image subset. For example, if there are multiple virtual face images in the target image subset, the verification problem may be "please select face images with similar expressions", and so on.
403. And the server sends the virtual face images in the image subset to the terminal and verifies the problem.
After the server determines the virtual face image and generates the verification problem according to the virtual face image, the virtual face image and the verification problem can be sent to the terminal to perform verification operation.
404. And after the terminal receives the virtual face image and the verification problem, displaying the virtual face image and the verification problem on a verification page.
Referring to fig. 12, fig. 12 is a schematic view of an application scenario of another information verification method according to an embodiment of the present application. In the user registration page shown in fig. 12, a verification page is included, which shows: the face image verification method comprises the steps of obtaining a first virtual face image, a second virtual face image, a third virtual face image and a verification problem, wherein the verification problem is 'please select face images with similar expressions'.
405. And the terminal selects a target virtual face image from the plurality of virtual faces according to the selection operation of the user on the verification page and sends the target virtual face image to the server.
The user may perform a selection operation on the virtual face image displayed on the verification page, for example, if the user can click the first virtual face image, the user may select the first virtual face image as the target virtual face image. The terminal may then send the user selection to the server to cause the server to authenticate.
406. And the server verifies the target virtual face image, and if the verification is passed, the server registers the user information.
Specifically, when the server generates the verification question based on the virtual face image, the server determines the correct answer of the verification question at the same time.
For example, the verification problem is: please select face images with similar expressions. The user-selectable virtual face images include: the correct answers of the first virtual face image, the second virtual face image and the third virtual face image can be as follows: a first virtual face image. And if the user selects the first virtual face image as the target virtual face image, the user selects a correct answer to complete verification of the verification code.
And when the verification is successful, the server can complete the user information registration according to the user information.
According to the method and the device, a verification code obtaining request is sent to a server through the registration operation of a user on a user registration interface at a terminal, when the server receives the verification code obtaining request, a target image subset is determined from a plurality of image subsets according to the verification code obtaining request, verification problems are generated based on virtual face images in the image subsets, and then the server sends the virtual face images in the image subsets and the verification problems to the terminal. The method comprises the steps that after a terminal receives a virtual face image and a verification problem, the virtual face image and the verification problem are displayed on a verification page, the terminal selects a target virtual face image from a plurality of virtual faces according to the selection operation of a user on the verification page and sends the target virtual face image to a server, finally, the server verifies the target virtual face image, and if the verification is passed, user information is registered. Therefore, the safety of information verification during user registration can be improved.
In order to better implement the method for information verification provided by the embodiment of the present application, the embodiment of the present application further provides an apparatus for information verification based on the method for information verification. The meaning of the noun is the same as that in the above information verification method, and specific implementation details can refer to the description in the method embodiment.
Referring to fig. 13, fig. 13 is a block diagram of an information verification apparatus according to an embodiment of the present application, where the information verification apparatus includes:
a first sending unit 501, configured to send an information verification request to a server;
a first display unit 502, configured to, when receiving a virtual object expression image and verification prompt information returned by the server according to the information verification request, display a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information, where the verification prompt information is used to prompt an association relationship between the virtual object expression image and a verification requirement;
a first generating unit 503, configured to generate an operation result based on an operation on the verification page;
a second sending unit 504, configured to send the operation result to the server, so that the server verifies the operation result to obtain a verification result.
In some embodiments, the first generating unit 503 may include:
a first determining subunit, configured to determine, in response to a user selection operation on the plurality of virtual object expression images in the verification page, a target virtual object expression image from the plurality of virtual object expression images;
and the second determining subunit is used for obtaining the operation result based on the expression image of the target virtual object.
In some embodiments, the first generating unit 503 may include:
a third determining subunit, configured to determine, in response to a selection operation of the user on the plurality of expression keywords in the verification page, a target expression keyword from the plurality of expression keywords;
and the fourth determining subunit is used for obtaining the operation result based on the target expression keyword.
In some embodiments, the first generating unit 503 may include:
a fifth determining subunit, configured to determine, in response to a selection operation of the user on the plurality of virtual object expressions in the verification page, a target virtual object expression image from the plurality of virtual object expression images;
and the sixth determining subunit is used for obtaining the operation result based on the expression image of the target virtual object.
In some embodiments, the apparatus may further comprise:
the second display unit is used for displaying an image switching control on the verification page if the verification result indicates that the verification fails;
a fourth sending unit, configured to send an image switching request to the server in response to a trigger operation for the image switching control;
and the updating unit is used for updating the verification page based on the virtual object expression image when receiving the virtual object expression image returned by the server aiming at the image switching request.
The embodiment of the application discloses an information verification device, which is applied to a terminal and used for sending an information verification request to a server through a first sending unit 501; when receiving a virtual object expression image and verification prompt information returned by the server according to the information verification request, the first display unit 502 displays a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information, wherein the verification prompt information is used for prompting the association relationship between the virtual object expression image and a verification requirement; the first generation unit 503 generates an operation result based on the operation on the verification page; the second sending unit 504 sends the operation result to the server, so that the server verifies the operation result to obtain a verification result. Thus, the security of information authentication can be improved.
The embodiment of the application also provides an information verification device based on the information verification method.
Referring to fig. 14, fig. 14 is a block diagram of another information verification apparatus according to an embodiment of the present disclosure, the apparatus including:
a screening unit 601, configured to screen a virtual object expression image from the image set in response to an information verification request sent by the terminal;
a third sending unit 602, configured to send the virtual object expression image and verification prompt information to the terminal, so that the terminal displays a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information, where the verification prompt information is used to prompt an association relationship between the virtual object expression image and a verification requirement;
a first receiving unit 603, configured to receive an operation result sent by the terminal, where the operation result is generated according to an operation of a user on the verification page, and the operation result is verified to obtain an operation result.
In some embodiments, the apparatus may further comprise:
the acquisition unit is used for acquiring sample noise data;
a second generating unit configured to generate a virtual object expression image based on the sample noise data;
and the first determining unit is used for obtaining a virtual object expression image according to the virtual object expression image and obtaining the image set based on the virtual object expression image.
In some embodiments, the first determination unit may include:
the extraction subunit is used for determining a target facial expression and extracting expression characteristic data of the target facial expression;
and the fusion subunit is used for fusing the virtual object expression image and the expression characteristic data to obtain a virtual object expression image corresponding to the virtual object expression image.
In some embodiments, the first determination unit may include:
and the screening subunit is used for screening the virtual object images according to the definition of the virtual object expression images and/or the abnormal information of the virtual object expression images to obtain a screened image set.
In some embodiments, the screening unit 601 may include:
the grouping subunit is used for grouping the expression images of the virtual objects in the image set to obtain more than one image subset;
a seventh determining subunit, configured to determine a target image subset from the more than one image subsets, and use the virtual object expression image included in the target image subset as the screened virtual object expression image.
In some embodiments, the grouping subunit may be specifically configured to:
grouping the expression images of the virtual objects in the image set according to a specified number to obtain a plurality of candidate image subsets, wherein the specified number is the number of the expression images of the virtual objects contained in each candidate image subset;
extracting expression characteristic vectors of the expression images of the virtual objects;
calculating a vector distance value between expression feature vectors of every two virtual object expression images in each candidate image subset;
determining a subset of images from the plurality of candidate subsets of images based on the vector distance values.
In some embodiments, the grouping subunit may be specifically configured to:
grouping the expression images of the virtual objects in the image set according to a specified number to obtain a plurality of candidate image subsets, wherein the specified number is the number of the expression images of the virtual objects contained in each candidate image subset;
extracting expression characteristic vectors of the expression images of the virtual objects;
calculating a vector distance value between expression feature vectors of every two virtual object expression images in each candidate image subset;
determining a first virtual object expression image with the largest difference in a target candidate image subset based on vector distance values of expression feature vectors corresponding to every two virtual object expression images in the target candidate image subset in the plurality of candidate image subsets; acquiring first vector distance values between other virtual object expression images in the target candidate image subset except the first virtual object expression image, and second vector distance values between the first virtual object expression image and other virtual object expression images in the target candidate image subset respectively; and if the second vector distance values are all larger than the first vector distance value preset value, determining that the target candidate image subset is combined into the image subset.
In some embodiments, the apparatus may further comprise:
and the second determining unit is used for determining the virtual object expression image with the maximum difference in the target image subset based on the vector distance value of the expression feature vector corresponding to every two virtual object expression images in the target image subset, and taking the virtual object expression image with the maximum difference as a verification answer.
In some embodiments, the apparatus may further comprise:
and the third determining unit is used for determining the virtual object expression image with the vector distance value within a preset range as a verification answer based on the vector distance value of the expression feature vector corresponding to every two virtual object expression images in the target image subset.
In some embodiments, the apparatus may further comprise:
and the comparison unit is used for comparing the expression image of the virtual object corresponding to the operation result with the verification answer, if the expression image of the virtual object is consistent with the verification answer, the verification is passed, and if the expression image of the virtual object is inconsistent with the verification answer, the verification fails.
The embodiment of the application discloses an information verification device, which is applied to a server and is used for responding to an information verification request sent by a terminal through a screening unit 601 and screening out an expression image of a virtual object from an image set; a third sending unit 602 sends the expression image of the virtual object and verification prompt information to the terminal, so that the terminal displays a verification page on a graphical user interface according to the expression image of the virtual object and the verification prompt information, wherein the verification prompt information is used for prompting an association relationship between the expression image of the virtual object and a verification requirement; the first receiving unit 603 receives an operation result sent by the terminal, where the operation result is generated according to an operation of the user on the verification page, and the operation result is verified to obtain an operation result. Thus, the security of information authentication can be improved.
Correspondingly, the embodiment of the application also provides a computer device, and the computer device can be a terminal. Referring to fig. 15, fig. 15 is a schematic structural diagram of a computer device according to an embodiment of the present disclosure. The computer apparatus 800 includes a processor 801 having one or more processing cores, a memory 802 having one or more computer-readable storage media, and a computer program stored on the memory 802 and executable on the processor. The processor 801 is electrically connected to the memory 802. Those skilled in the art will appreciate that the computer device configurations illustrated in the figures are not meant to be limiting of computer devices and may include more or fewer components than those illustrated, or some components may be combined, or a different arrangement of components.
The processor 801 is a control center of the computer apparatus 800, connects various parts of the entire computer apparatus 800 using various interfaces and lines, performs various functions of the computer apparatus 800 and processes data by running or loading software programs and/or modules stored in the memory 802, and calling data stored in the memory 802, thereby monitoring the computer apparatus 800 as a whole.
In the embodiment of the present application, the processor 801 in the computer device 800 loads instructions corresponding to processes of one or more application programs into the memory 802, and the processor 801 executes the application programs stored in the memory 802 according to the following steps, so as to implement various functions:
sending an information verification request to a server;
when receiving a virtual object expression image and verification prompt information returned by the server according to the information verification request, displaying a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information, wherein the verification prompt information is used for prompting the incidence relation between the virtual object expression image and a verification requirement;
generating an operation result based on the operation on the verification page;
and sending the operation result to the server so that the server verifies the operation result to obtain a verification result.
Alternatively, the first and second electrodes may be,
responding to an information verification request sent by a terminal, and screening out a virtual object expression image from the image set;
sending the virtual object expression image and verification prompt information to the terminal so that the terminal displays a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information, wherein the verification prompt information is used for prompting the association relationship between the virtual object expression image and a verification requirement;
and receiving an operation result sent by the terminal, wherein the operation result is generated according to the operation of the user on the verification page, and the operation result is verified to obtain an operation result.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Optionally, as shown in fig. 15, the computer device 800 further includes: a touch display 803, a radio frequency circuit 804, an audio circuit 805, an input unit 806, and a power supply 807. The processor 801 is electrically connected to the touch display screen 803, the radio frequency circuit 804, the audio circuit 805, the input unit 806, and the power supply 807, respectively. Those skilled in the art will appreciate that the computer device configuration illustrated in FIG. 15 does not constitute a limitation of computer devices, and may include more or fewer components than those illustrated, or some components may be combined, or a different arrangement of components.
The touch display screen 803 can be used for displaying a graphical user interface and receiving operation instructions generated by a user acting on the graphical user interface. The touch display 803 may include a display panel and a touch panel. The display panel may be used, among other things, to display information entered by or provided to a user and various graphical user interfaces of the computer device, which may be made up of graphics, text, icons, video, and any combination thereof. Alternatively, the Display panel may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. The touch panel may be used to collect touch operations of a user on or near the touch panel (for example, operations of the user on or near the touch panel using any suitable object or accessory such as a finger, a stylus pen, and the like), and generate corresponding operation instructions, and the operation instructions execute corresponding programs. Alternatively, the touch panel may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 801, and can receive and execute commands sent by the processor 801. The touch panel may overlay the display panel, and when the touch panel detects a touch operation thereon or nearby, the touch panel transmits the touch operation to the processor 801 to determine the type of the touch event, and then the processor 801 provides a corresponding visual output on the display panel according to the type of the touch event. In the embodiment of the present application, a touch panel and a display panel may be integrated into the touch display screen 803 to realize input and output functions. However, in some embodiments, the touch panel and the touch panel can be implemented as two separate components to perform the input and output functions. That is, the touch display 803 may also be used as a part of the input unit 806 to implement an input function.
The radio frequency circuit 804 may be used for transceiving radio frequency signals to establish wireless communication with a network device or other computer device through wireless communication, and to transceive signals with the network device or other computer device.
The audio circuit 805 may be used to provide an audio interface between a user and a computer device through speakers, microphones, and the like. The audio circuit 805 may transmit the electrical signal converted from the received audio data to a speaker, and convert the electrical signal into an audio signal for output; on the other hand, the microphone converts the collected sound signal into an electrical signal, which is received by the audio circuit 805 and converted into audio data, and the audio data is processed by the audio data output processor 801 and then transmitted to another computer device via the rf circuit 804, or the audio data is output to the memory 802 for further processing. The audio circuit 805 may also include an earbud jack to provide communication of peripheral headphones with the computer device.
The input unit 806 may be used to receive input numbers, character information, or user characteristic information (e.g., fingerprint, iris, facial information, etc.), and generate keyboard, mouse, joystick, optical, or trackball signal inputs related to user settings and function control.
The power supply 807 is used to power the various components of the computer device 800. Optionally, the power supply 807 may be logically connected to the processor 801 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system. The power supply 807 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
Although not shown in fig. 15, the computer device 800 may further include a camera, a sensor, a wireless fidelity module, a bluetooth module, etc., which are not described in detail herein.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
As can be seen from the above, the computer device provided in this embodiment sends an information verification request to the server; when receiving a virtual object expression image and verification prompt information returned by the server according to the information verification request, displaying a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information, wherein the verification prompt information is used for prompting the incidence relation between the virtual object expression image and a verification requirement; generating an operation result based on the operation on the verification page; and sending the operation result to the server so that the server verifies the operation result to obtain a verification result.
Alternatively, the first and second electrodes may be,
responding to an information verification request sent by a terminal, and screening out a virtual object expression image from the image set; sending the virtual object expression image and verification prompt information to the terminal so that the terminal displays a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information, wherein the verification prompt information is used for prompting the association relationship between the virtual object expression image and a verification requirement; and receiving an operation result sent by the terminal, wherein the operation result is generated according to the operation of the user on the verification page, and the operation result is verified to obtain an operation result.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.
To this end, the present application provides a computer-readable storage medium, in which a plurality of computer programs are stored, and the computer programs can be loaded by a processor to execute the steps in any of the methods for information verification provided by the embodiments of the present application. For example, the computer program may perform the steps of:
sending an information verification request to a server;
when receiving a virtual object expression image and verification prompt information returned by the server according to the information verification request, displaying a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information, wherein the verification prompt information is used for prompting the incidence relation between the virtual object expression image and a verification requirement;
generating an operation result based on the operation on the verification page;
and sending the operation result to the server so that the server verifies the operation result to obtain a verification result.
Alternatively, the first and second electrodes may be,
responding to an information verification request sent by a terminal, and screening out a virtual object expression image from the image set;
sending the virtual object expression image and verification prompt information to the terminal so that the terminal displays a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information, wherein the verification prompt information is used for prompting the association relationship between the virtual object expression image and a verification requirement;
and receiving an operation result sent by the terminal, wherein the operation result is generated according to the operation of the user on the verification page, and the operation result is verified to obtain an operation result.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Wherein the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
Since the computer program stored in the storage medium can execute the steps in any information verification method provided in the embodiments of the present application, the beneficial effects that can be achieved by any information verification method provided in the embodiments of the present application can be achieved, and detailed descriptions are omitted here for the details, see the foregoing embodiments.
The method, the apparatus, the storage medium, and the computer device for information verification provided in the embodiments of the present application are described in detail above, and a specific example is applied in the present application to explain the principles and implementations of the present application, and the description of the above embodiments is only used to help understand the method and the core ideas of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (19)

1. A method for information verification is applied to a terminal, and is characterized in that the method comprises the following steps:
sending an information verification request to a server;
when receiving a virtual object expression image and verification prompt information returned by the server according to the information verification request, displaying a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information, wherein the verification prompt information is used for prompting the incidence relation between the virtual object expression image and a verification requirement;
generating an operation result based on the operation on the verification page;
and sending the operation result to the server so that the server verifies the operation result to obtain a verification result.
2. The method of claim 1, wherein the virtual object expression image comprises a plurality of virtual object expression images, and the verification prompt information is used for instructing a user to screen a virtual object expression image with the largest expression difference or a virtual object expression image with a consistent expression from the plurality of virtual object expression images;
generating an operation result based on the operation on the verification page, including:
responding to the selection operation of a user on the plurality of virtual object expression images in the verification page, and determining a target virtual object expression image from the plurality of virtual object expression images;
and obtaining the operation result based on the expression image of the target virtual object.
3. The method according to claim 1, wherein the verification prompt message is used for prompting a user to select an expression keyword matching the expression image of the virtual object from a plurality of expression keywords;
generating an operation result based on the operation on the verification page, including:
responding to the selection operation of the user on the plurality of expression keywords in the verification page, and determining a target expression keyword from the plurality of expression keywords;
and obtaining the operation result based on the target expression keywords.
4. The method according to claim 1, wherein the virtual object expression image comprises a plurality of virtual object expression images, and the verification prompt message is used for prompting a user to select a virtual object expression image matching a preset expression keyword from the plurality of virtual object expression images;
generating an operation result based on the operation on the verification page, including:
responding to the selection operation of the user on the plurality of virtual object expressions in the verification page, and determining a target virtual object expression image from the plurality of virtual object expression images;
and obtaining the operation result based on the expression image of the target virtual object.
5. The method of claim 1, further comprising:
if the verification result indicates that the verification fails, displaying an image switching control on the verification page;
responding to the triggering operation aiming at the image switching control, and sending an image switching request to the server;
and when receiving a virtual object expression image returned by the server aiming at the image switching request, updating the verification page based on the virtual object expression image.
6. A method for information verification is applied to a server, and is characterized in that the method comprises the following steps:
responding to an information verification request sent by a terminal, and screening out a virtual object expression image from the image set;
sending the virtual object expression image and verification prompt information to the terminal so that the terminal displays a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information, wherein the verification prompt information is used for prompting the association relationship between the virtual object expression image and a verification requirement;
and receiving an operation result sent by the terminal, wherein the operation result is generated according to the operation of the user on the verification page, and the operation result is verified to obtain an operation result.
7. The method of claim 6, further comprising:
collecting sample noise data;
generating a virtual object expression image based on the sample noise data;
and obtaining a virtual object expression image according to the virtual object expression image, and obtaining the image set based on the virtual object expression image.
8. The method of claim 7, wherein obtaining the virtual object expression image according to the virtual object expression image comprises:
determining a target facial expression, and extracting expression characteristic data of the target facial expression;
and fusing the virtual object expression image and the expression feature data to obtain a virtual object expression image corresponding to the virtual object expression image.
9. The method of claim 7, wherein deriving the set of images based on the virtual object expression image comprises:
and screening the virtual object images according to the definition of the virtual object expression images and/or the abnormal information of the virtual object expression images to obtain a screened image set.
10. The method of claim 6, wherein the screening of the set of images for virtual object expression images comprises:
grouping the expression images of the virtual objects in the image set to obtain more than one image subset;
and determining a target image subset from the more than one image subsets, and taking the virtual object expression images contained in the target image subset as the screened virtual object expression images.
11. The method of claim 10, wherein grouping the expression images of the virtual objects in the image set to obtain more than one image subset comprises:
grouping the expression images of the virtual objects in the image set according to a specified number to obtain a plurality of candidate image subsets, wherein the specified number is the number of the expression images of the virtual objects contained in each candidate image subset;
extracting expression characteristic vectors of the expression images of the virtual objects;
calculating a vector distance value between expression feature vectors of every two virtual object expression images in each candidate image subset;
determining a subset of images from the plurality of candidate subsets of images based on the vector distance values.
12. The method of claim 11, wherein determining a subset of images from the plurality of subsets of candidate images based on the vector distance values comprises:
determining a first virtual object expression image with the largest difference in a target candidate image subset based on vector distance values of expression feature vectors corresponding to every two virtual object expression images in the target candidate image subset in the plurality of candidate image subsets;
acquiring first vector distance values between other virtual object expression images in the target candidate image subset except the first virtual object expression image, and second vector distance values between the first virtual object expression image and other virtual object expression images in the target candidate image subset respectively;
and if the second vector distance values are all larger than the first vector distance value preset value, determining that the target candidate image subset is combined into the image subset.
13. The method of claim 11, wherein the screening of the set of images for virtual object expression images comprises: screening a plurality of virtual object expression images from the image set; the verification prompt information is used for instructing a user to screen the virtual object expression image with the largest expression difference from the plurality of virtual object expression images;
the method further comprises the following steps:
and determining the virtual object expression image with the maximum difference in the target image subset based on the vector distance value of the expression feature vector corresponding to every two virtual object expression images in the target image subset, and taking the virtual object expression image with the maximum difference as a verification answer.
14. The method of claim 11, wherein the screening of the set of images for virtual object expression images comprises: screening a plurality of virtual object expression images from the image set; the verification prompt information is used for instructing a user to screen virtual object expression images with consistent expressions from the virtual object expression images;
the method further comprises the following steps:
and determining the virtual object expression image with the vector distance value within a preset range as a verification answer based on the vector distance value of the expression characteristic vector corresponding to every two virtual object expression images in the target image subset.
15. The method according to any one of claims 13 or 14, wherein the verifying the operation result to obtain the operation result comprises:
and comparing the expression image of the virtual object corresponding to the operation result with the verification answer, if the expression image of the virtual object is consistent with the verification answer, the verification is passed, and if the expression image of the virtual object is inconsistent with the verification answer, the verification fails.
16. An apparatus for information verification, applied to a terminal, the apparatus comprising:
a first sending unit, configured to send an information verification request to a server;
the first display unit is used for displaying a verification page on a graphical user interface according to the virtual object expression image and verification prompt information when receiving the virtual object expression image and the verification prompt information returned by the server according to the information verification request, wherein the verification prompt information is used for prompting the incidence relation between the virtual object expression image and the verification requirement;
a first generating unit configured to generate an operation result based on an operation on the verification page;
and the second sending unit is used for sending the operation result to the server so that the server verifies the operation result to obtain a verification result.
17. An apparatus for information verification, applied to a server, the apparatus comprising:
the screening unit is used for responding to an information verification request sent by the terminal and screening out the expression images of the virtual objects from the image set;
a third sending unit, configured to send the virtual object expression image and verification prompt information to the terminal, so that the terminal displays a verification page on a graphical user interface according to the virtual object expression image and the verification prompt information, where the verification prompt information is used to prompt an association relationship between the virtual object expression image and a verification requirement;
and the first receiving unit is used for receiving an operation result sent by the terminal, generating the operation result according to the operation of the user on the verification page, and verifying the operation result to obtain an operation result.
18. A computer device comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor when executing the program implements a method of information authentication as claimed in any one of claims 1 to 15.
19. A storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the method of information authentication according to any one of claims 1 to 15.
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