CN112016077B - Page information acquisition method and device based on sliding track simulation and electronic equipment - Google Patents
Page information acquisition method and device based on sliding track simulation and electronic equipment Download PDFInfo
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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Abstract
The invention discloses a page information acquisition method based on sliding track simulation, which comprises the following steps: acquiring a first page, wherein the first page comprises an information page and a slider verification page above the information page; acquiring slider verification information based on the slider verification page identification, wherein the slider verification information comprises initial position information and end position information of a slider; substituting the sliding block verification information into a sliding track simulation model to calculate and obtain sliding track simulation information; the sliding track simulation information is sent to a verification server for sliding verification of the sliding block; after the verification is passed, the information page is accessed to acquire page information. According to the invention, the model of machine learning training can be adopted to simulate each detail characteristic when the slide block verification is performed manually, the participation of a user is not needed, the efficiency is high, the error is small, the user can conveniently, quickly and simply acquire page information, and the user experience is improved.
Description
Technical Field
The present invention relates to the field of computer information processing, and in particular, to a method and apparatus for acquiring page information based on sliding track simulation, an electronic device, and a computer readable medium.
Background
Along with the development of communication technology and the popularization of intelligent terminals, various application layers are endless, almost every link and any corner of normal life can be basically covered, great convenience is brought to production and life, and the life of people increasingly depends on personal mobile intelligent terminals. At present, in the use of a personal mobile terminal, the main mode for realizing man-machine interaction still depends on the input operation of a touch screen, and is visible and convenient and direct. However, for users with limited operations due to various reasons, the touch interaction mode cannot be adopted, so that most of interaction functions are lost in the use of the personal mobile terminal, convenience brought by technological development cannot be enjoyed, and extremely poor user experience is caused.
In the prior art, an external control device is often adopted for the part of users, and interaction with the mobile terminal is controlled in a joystick and button mode, so that most of interaction operations are conveniently realized for the users. The above method has difficulty in solving the slider verification. The slider verification is to judge that the current user is a real user by collecting various parameter characteristics when the user slides the slider so as to prevent malicious access, and the operation lever cannot pass the real parameter verification of the slider sliding when realizing interaction, so that the user cannot acquire page information, and a plurality of websites or applications cannot enter.
In addition, other interaction modes are developed and adopted in the prior art, such as capturing eyes to realize interaction or collecting command signals to realize interaction in a human brain implantation mode, but the technology is not mature in development and high in price, and is not suitable for large-scale commercial popularization and use at present.
Therefore, a new page information acquisition method, apparatus, electronic device, and computer-readable storage medium are needed.
The above information disclosed in the background section is only for enhancement of understanding of the background of the disclosure and therefore it may include information that does not form the prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
In view of the above, the present disclosure provides a method, an apparatus, an electronic device, and a computer readable medium for acquiring page information based on sliding track simulation, which can simulate each detail feature when a slider is verified manually by using a model trained by machine learning, without participation of a user, and has the advantages of high efficiency, small error, convenience for a user, rapidness, and simplicity in acquiring page information, and improved user experience.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
According to one aspect of the present disclosure, a method for acquiring page information based on sliding track simulation is provided, including: acquiring a first page, wherein the first page comprises an information page and a slider verification page above the information page; acquiring slider verification information based on the slider verification page identification, wherein the slider verification information comprises initial position information and end position information of a slider; substituting the sliding block verification information into a sliding track simulation model to calculate and obtain sliding track simulation information; the sliding track simulation information is sent to a verification server for sliding verification of the sliding block; and after the verification is passed, accessing the information page to acquire page information.
Optionally, the acquiring the slider verification information based on the slider verification page identification further includes: screenshot to obtain a slider verification page picture; and identifying the sliding block and the sliding block track by utilizing an image identification technology so as to acquire initial position information and end position information of the sliding block.
Optionally, the method further comprises: the sliding track simulation information is track data with a time mark.
Optionally, the track data includes slider position information data and slider speed information data.
Optionally, the slider position information data includes original position information data or processed position information data.
Optionally, the processed location information data further includes: and carrying out normalization processing or percentage processing on the original position information data.
Optionally, the method further comprises: sample data are collected for different types of slide block verification pages, wherein the sample data comprise page data and track data generated when the slide block is manually slid; and training based on the sample data to form a sliding track simulation model.
Optionally, the page data further includes: the screen shots of the slide block verification pages of different types are acquired to obtain slide block verification page pictures; and identifying the sliding block and the sliding block track by utilizing an image identification technology so as to acquire initial position information and end position information of the sliding block.
Optionally, the method further comprises: the verification server is arranged on the server or locally.
According to an aspect of the present disclosure, a page information acquiring device based on sliding track simulation is provided, including: the page module is used for acquiring a first page, wherein the first page comprises an information page and a slide block verification page above the information page; the information module is used for acquiring slider verification information based on the slider verification page identification, wherein the slider verification information comprises initial position information and end position information of the slider; the simulation module is used for substituting the sliding block verification information into a sliding track simulation model to calculate and obtain sliding track simulation information; the verification module is used for sending the sliding track simulation information to a verification server for sliding verification of the sliding block; and the acquisition module is used for acquiring the page information of the information page after the verification is passed.
Optionally, the information module further includes: the screenshot unit is used for screenshot to acquire a slide block verification page picture; and the identification unit is used for identifying the sliding block and the sliding block track by utilizing an image identification technology so as to acquire the initial position and the final position of the sliding block.
Optionally, the method further comprises: the sliding track simulation information is track data with a time mark.
Optionally, the track data includes slider position information data and slider speed information data.
Optionally, the slider position information data includes original position information data or processed position information data.
Optionally, the processed location information data further includes: and carrying out normalization processing or percentage processing on the original position information data.
Optionally, the method further comprises: the sample collection module is used for collecting sample data aiming at different types of slide block verification pages, wherein the sample data comprises page data and track data generated when the slide block is manually slid; and the model training module is used for training and forming a sliding track simulation model based on the sample data.
Optionally, the sample collection module further comprises: the sample screenshot unit is used for performing screenshot on the sliding block verification pages of different types to obtain sliding block verification page pictures; and the sample identification unit is used for identifying the sliding block and the sliding block track by utilizing an image identification technology so as to acquire initial position information and end position information of the sliding block.
Optionally, the method further comprises: the verification server is arranged on the server or locally.
According to an aspect of the present disclosure, there is provided an electronic device including: one or more processors; a storage means for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the methods as described above.
According to an aspect of the present disclosure, a computer-readable medium is presented, on which a computer program is stored, which program, when being executed by a processor, implements a method as described above.
According to the page information acquisition method, the device, the electronic equipment and the computer readable medium based on the sliding track simulation, a first page is acquired, and the first page comprises an information page and a slider verification page above the information page; acquiring slider verification information based on the slider verification page identification, wherein the slider verification information comprises initial position information and end position information of a slider; substituting the sliding block verification information into a sliding track simulation model to calculate and obtain sliding track simulation information; the sliding track simulation information is sent to a verification server for sliding verification of the sliding block; after verification, the information page is accessed to acquire page information, so that each detail characteristic during slide block verification can be simulated manually by adopting a model trained by machine learning, the participation of a user is not needed, the efficiency is high, the error is small, a user can conveniently and rapidly acquire page information, and the user experience is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
In order to make the technical problems solved by the present invention, the technical means adopted and the technical effects achieved more clear, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted, however, that the drawings described below are merely illustrative of exemplary embodiments of the present invention and that other embodiments of the present invention may be derived from these drawings by those skilled in the art without undue effort.
Fig. 1 is a system block diagram illustrating a method and apparatus for page acquisition based on a sliding track simulation according to an exemplary embodiment.
Fig. 2 is a flowchart illustrating a page information acquisition method based on a sliding track simulation according to an exemplary embodiment.
FIG. 3 is a schematic diagram of a first page shown according to an example embodiment.
FIG. 4 is a schematic diagram of a first page after image recognition, according to an example embodiment.
FIG. 5 is a flowchart illustrating the generation of a sliding track simulation model, according to an example embodiment.
Fig. 6 is a flowchart illustrating generating a sliding trajectory simulation model according to another exemplary embodiment.
Fig. 7 is a block diagram showing a page information acquiring apparatus based on a sliding track simulation according to an exemplary embodiment.
Fig. 8 is a block diagram illustrating a sliding trajectory simulation model generating device according to an exemplary embodiment.
Fig. 9 is a block diagram of a sliding trajectory simulation model generating device according to another exemplary embodiment.
Fig. 10 is a block diagram of an electronic device, according to an example embodiment.
FIG. 11 is a block diagram of a computer-readable medium shown according to an example embodiment.
Detailed Description
Exemplary embodiments of the present invention will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art. The same reference numerals in the drawings denote the same or similar elements, components or portions, and thus a repetitive description thereof will be omitted.
The features, structures, characteristics or other details described in a particular embodiment do not exclude that may be combined in one or more other embodiments in a suitable manner, without departing from the technical idea of the invention.
In the description of specific embodiments, features, structures, characteristics, or other details described in the present invention are provided to enable one skilled in the art to fully understand the embodiments. However, it is not excluded that one skilled in the art may practice the present invention without one or more of the specific features, structures, characteristics, or other details.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
It should be understood that although the terms first, second, third, etc. may be used herein to describe various devices, elements, components or portions, this should not be limited by these terms. These words are used to distinguish one from the other. For example, a first device may also be referred to as a second device without departing from the spirit of the invention.
The term "and/or" and/or "includes all combinations of any of the associated listed items and one or more.
Fig. 1 is a system block diagram illustrating a method and apparatus for page acquisition based on a sliding track simulation according to an exemplary embodiment.
As shown in fig. 1, the system architecture 10 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 103 also serves as a medium for providing communication links between the terminal devices 101, 102, 103. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The user may interact with the server 105 via the network 104 using the terminal devices 101, 102, 103 to receive or send messages or the like. Various communication mobile terminal applications, such as financial service type applications, shopping type applications, web browser applications, instant messaging tools, mailbox mobile terminals, social platform software, etc., can be installed on the terminal devices 101, 102, 103.
The terminal devices 101, 102, 103 may be a variety of electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.
The server 105 may be a server providing various services, such as a background management server providing support for various applications used by the user with the terminal devices 101, 102, 103. The background management server may perform processing such as analysis on the received user data, and feed back the processing result (e.g., sending page content based on verification-eligible information, etc.) to the terminal devices 101, 102, 103.
The terminal device 101, 102, 103 may, for example, obtain a first page comprising an information page and a slider verification page above the information page; the terminal device 101, 102, 103 may obtain slider verification information, e.g. based on a slider verification page identification, the slider verification information comprising a start position information and an end position information of the slider; the terminal devices 101, 102, 103 may, for example, substitute the slider verification information into a sliding track simulation model to calculate sliding track simulation information; the terminal device 101, 102, 103 may for example send the sliding track simulation information to a verification server for slider sliding verification; the terminal device 101, 102, 103 may access the information page to obtain page information, e.g. after verification has passed.
Fig. 2 is a flowchart illustrating a page information acquisition method based on a sliding track simulation according to an exemplary embodiment. The page information acquisition method based on the sliding track simulation at least comprises steps S201 to S205.
In step S201, a first page is acquired
A first page is acquired at a user terminal, the first page including an information page and a slider verification page thereon.
FIG. 3 is a schematic diagram of a first page shown according to an example embodiment. As shown in fig. 3, a first page is acquired at the user terminal, where the first page may be a login page, or may be a verification page that appears in an actual use application or a browsing web page. The first page comprises an information page for displaying specific information to a user, and a slider verification page positioned above the information page for detecting whether the current user is a real person.
More specifically, only the user side authenticated through the slider authentication page may continue to browse the information page in the first page to obtain the desired information.
In step S202, slider verification information is acquired
And acquiring slider verification information based on the slider verification page identification, wherein the slider verification information comprises initial position information and end position information of the slider.
More specifically, the screenshot is used for acquiring a first page picture, and the slider track are identified by utilizing an image identification technology so as to acquire the initial position information and the final position information of the slider.
FIG. 4 is a schematic diagram of a first page after image recognition, according to an example embodiment. As shown in fig. 4, the first page picture obtained by the screenshot is subjected to image recognition to obtain a first page frame 400 after being structured and elemental. The first page frame 400 is a page frame adapted to the size of the display screen of the user terminal, and has thereon an information page frame 401, a slider verification page frame 402, a slider track frame 403, and a slider frame 404.
With the first page frame 400 as a coordinate system, any point in the first page frame may be selected as an origin of coordinates, and position information of other frames in the coordinate system may be obtained. Preferably, the first frame center point or the four corner points are used as the origin of coordinates. The sliding block frame can judge and generate the frame position by the center point or the corner point, the initial position is collected as the initial position information of the sliding block frame, the right side rail position of the sliding block track frame or the side length position of the sliding block in the right side rail is the end position of the sliding block,
More specifically, the end position may be represented by the formula a=s+ (L-b), where a is slider end position data, S is slider initial position data, L is slider track length data, and b is slider side length data. For example, the left corner position of the slider frame is taken as the initial position of the slider, and the side length position of the slider moving inwards in the right side of the track frame is taken as the final position.
The position information of each frame may be measured in units of length, or may be measured in pixel points, and is preferably measured in pixel points.
In step S203, the slider track simulation information is calculated
Substituting the slide block verification information obtained in the step S202 into a slide track simulation model to calculate and obtain slide track simulation information.
Specifically, the sliding track simulation information is track data with a time mark, preferably a time sequence array, generated by simulating a manual sliding block.
Preferably, the track data may include distance data, position data, speed data, offset data, etc. of the slider sliding.
More specifically, the distance data includes a distance that the slider moves, which may be an absolute distance or a relative distance with respect to the page.
The position data includes slider start and end position information, which is position information with respect to a coordinate plane with a page.
The speed data includes a sliding speed of the slider.
The offset data comprises offset data simulating the center line of the contact surface and the track of the sliding block during manual sliding.
Preferably, the distance and position data may be absolute value data, or may be data obtained by normalizing the time series array, or may be data corresponding to a page frame (percentage of the screen size).
In step S204, slider sliding verification
And sending the sliding track simulation information generated in the step S203 to a verification server for sliding block verification.
More specifically, the sliding track simulation information is sent to the verification server, and if the sliding track simulation information meets the verification rule, the verification server sends a verification code to the client terminal so that the client terminal passes the verification. If the verification rule is not met, the verification server side sends verification failure information to the client side.
The verification server can be arranged at the server and interact with the user terminal through a network; or may be locally located to interact with direct internal program interface calls. Preferably locally.
In step S205, page information is acquired
After the user terminal obtains the verification code sent in step S204, the information page may be accessed to obtain information page information.
FIG. 5 is a flowchart illustrating the generation of a sliding track simulation model, according to an example embodiment. As shown in fig. 5, generating the sliding trajectory simulation model as in step S203 includes at least steps S501 to S504.
In step S501, a sample picture is acquired
And acquiring different types of user pages using the slide block verification page, and taking the screenshot as a sample picture.
In step S502, sample information is identified
And (3) carrying out structural element processing on the sample picture obtained in the step (S501) by adopting an image recognition method to obtain each element frame of the page, and further obtaining the position information of each frame.
Preferably, the slider and the slider track are identified to obtain the slider initial position information and the slider end position information.
In step S503, slip data is collected
And collecting slider change signal information generated when the slider is manually slid by adopting a mode that the slider is manually slid and passes through verification, wherein the information is track data with a time mark, and is preferably a time sequence array.
Preferably, the track data may include distance data, position data, speed data, offset data, etc. of the slider sliding.
More specifically, the distance data includes a distance that the slider moves, which may be an absolute distance or a relative distance with respect to the page.
The position data includes slider start and end position information, which is position information with respect to a coordinate plane with a page.
The speed data includes a sliding speed of the slider.
The offset data comprises offset data simulating the center line of the contact surface and the track of the sliding block during manual sliding.
Preferably, the distance and position data may be absolute value data, or may be data obtained by normalizing the time series array, or may be data corresponding to a page frame (percentage of the screen size).
In step S504, a generative model is trained.
And (3) taking the data acquired in the steps S502 and S503 as sample data, and constructing a model by adopting a machine learning method, wherein an input layer of the model is slide block verification information data, and an output layer of the model is slide track simulation information.
Fig. 6 is a flowchart illustrating generating a sliding trajectory simulation model according to another exemplary embodiment. As shown in fig. 6, generating the sliding trajectory simulation model includes at least steps S601 to S605.
In step S601, a sample picture is acquired
And acquiring different types of user pages using the slide block verification page, and taking the screenshot as a sample picture.
In step S602, sample information is identified
And (3) carrying out structural element processing on the sample picture obtained in the step (S601) by adopting an image recognition method to obtain each element frame of the page, and further obtaining the position information of each frame.
Preferably, the slider and the slider track are identified to obtain the slider initial position information and the slider end position information.
In step S603, sliding data is collected
And collecting slider change signal information generated when the slider is manually slid by adopting a mode that the slider is manually slid and passes through verification, wherein the information is track data with a time mark, and is preferably a time sequence array.
Preferably, the track data may include distance data, position data, speed data, offset data, etc. of the slider sliding.
More specifically, the distance data includes a distance that the slider moves, which may be an absolute distance or a relative distance with respect to the page.
The position data includes slider start and end position information, which is position information with respect to a coordinate plane with a page.
The speed data includes a sliding speed of the slider.
The offset data comprises offset data simulating the center line of the contact surface and the track of the sliding block during manual sliding.
Preferably, the distance and position data may be absolute value data, or may be data obtained by normalizing the time series array, or may be data corresponding to a page frame (percentage of the screen size).
In step S604, user information is acquired
And acquiring information of the manual sliding user, and connecting the information with sliding data collected when the sliding block is slid.
The user information may be information of user type obtained by analysis, such as identity information, attribute information, behavior information, and financial information of the user, or may be a user type tag generated after analysis.
In step S605, a training generation model is used.
And (3) taking the data acquired in the steps S602, S603 and S604 as sample data, constructing a model by adopting a machine learning method, wherein an input layer of the model is slider verification information data and user information, and an output layer of the model is sliding track simulation information.
The model can be used for simulating track simulation information formed when a user slides the slider in a specific type. Thus, when the method shown in fig. 2 is used, the slider verification information acquired from step S202 and the user information acquired in other ways may be substituted at the time of step S203 at the same time to calculate and obtain the sliding track simulation information conforming to the characteristics of the current user type using the sliding track simulation model obtained by training in the method shown in fig. 6 at step S203.
It should be specifically noted that, the image recognition method and the model training method mentioned in the present disclosure are all common methods in the art, and no new method is required to be specifically designed or created, so specific methods are not described in the present disclosure.
Those skilled in the art will appreciate that all or part of the steps implementing the above-described embodiments are implemented as a program (computer program) executed by a computer data processing apparatus. The above-described method provided by the present invention can be implemented when the computer program is executed. Moreover, the computer program may be stored in a computer readable storage medium, which may be a readable storage medium such as a magnetic disk, an optical disk, a ROM, a RAM, or a storage array composed of a plurality of storage media, for example, a magnetic disk or a tape storage array. The storage medium is not limited to a centralized storage, but may be a distributed storage, such as cloud storage based on cloud computing.
The following describes apparatus embodiments of the invention that may be used to perform method embodiments of the invention. Details described in the embodiments of the device according to the invention should be regarded as additions to the embodiments of the method described above; for details not disclosed in the embodiments of the device according to the invention, reference may be made to the above-described method embodiments.
Fig. 7 is a block diagram showing a page information acquiring apparatus based on a sliding track simulation according to an exemplary embodiment.
As shown in fig. 7, the page information acquisition device 70 based on the sliding track simulation includes a page module 701, an information module 702, a simulation module 703, a verification module 704, and an acquisition module 705.
The page module 701 is configured to obtain a first page, where the first page includes an information page and a slider verification page above the information page.
More specifically, the page module 701 is configured to obtain a first page at the user terminal, where the first page may be a login page, or may be a verification page that appears in an actual application or a browsing web page. The first page comprises an information page for displaying specific information to a user, and a slider verification page positioned above the information page for detecting whether the current user is a real person.
More specifically, only the user side authenticated through the slider authentication page may continue to browse the information page in the first page to obtain the desired information.
The information module 702 is configured to obtain slider verification information based on the slider verification page identification, where the slider verification information includes start position information and end position information of the slider.
The information module 702 includes a screenshot unit and an identification unit. The screenshot unit is used for performing screenshot operation on the page, and the identification unit is used for identifying the slider and the slider track by utilizing an image identification technology on the picture obtained by the screenshot of the screenshot unit so as to obtain the initial position information and the end position information of the slider.
The simulation module 703 is configured to substitute the slider verification information into a sliding track simulation model to calculate sliding track simulation information.
Specifically, the sliding track simulation information is track data with a time mark, preferably a time sequence array, generated by simulating a manual sliding block.
Preferably, the track data may include distance data, position data, speed data, offset data, etc. of the slider sliding.
More specifically, the distance data includes a distance that the slider moves, which may be an absolute distance or a relative distance with respect to the page.
The position data includes slider start and end position information, which is position information with respect to a coordinate plane with a page.
The speed data includes a sliding speed of the slider.
The offset data comprises offset data simulating the center line of the contact surface and the track of the sliding block during manual sliding.
Preferably, the distance and position data may be absolute value data, or may be data obtained by normalizing the time series array, or may be data corresponding to a page frame (percentage of the screen size).
And the verification module 704 is configured to send the sliding track simulation information to a verification server for sliding verification of the slider.
More specifically, the verification module 704 sends the sliding track simulation information to a verification server, and if the sliding track simulation information meets a verification rule, the verification server sends a verification code to the client terminal, so that the client terminal passes verification. If the verification rule is not met, the verification server side sends verification failure information to the client side.
The verification server can be arranged at the server and interact with the user terminal through a network; or may be locally located to interact with direct internal program interface calls. Preferably locally.
And the acquisition module 705 is configured to acquire page information of the information page after the verification is passed.
Fig. 8 is a block diagram illustrating a sliding trajectory simulation model generating device according to an exemplary embodiment. As shown in fig. 8, the sliding trajectory simulation model generation device 80 includes a sample collection module 801 and a model training module 802.
The sample collection module 801 is configured to collect sample data for different types of slider verification pages, where the sample data includes page data and trajectory data generated when the slider is manually slid.
In one embodiment, the sample collection module 801 includes a sample screenshot unit, a sample identification unit, and a slide recording unit.
The sample screenshot unit is used for performing screenshot on the sliding block verification pages of different types to obtain sliding block verification page pictures; the sample identification unit is used for identifying the sliding block and the sliding block track by utilizing an image identification technology so as to acquire initial position information and end position information of the sliding block; the sliding record unit is used for collecting slider change signal information generated when the slider is manually slid by adopting a mode that the manual sliding slider passes through verification, wherein the information is track data with a time mark, and a time sequence array is preferred.
Model training module 802 is configured to train to construct a sliding track simulation model based on the sample data.
In another embodiment, as shown in fig. 9, the model sliding track simulation model generating device further includes a user information module 903 for acquiring user information in addition to the sample collecting module 901 and the model training module 902. The user information may be information of user type obtained by analysis, such as identity information, attribute information, behavior information, and financial information of the user, or may be a user type tag generated after analysis.
The model training unit 902 acquires data acquired by the sample collection module 901 and information data acquired by the user information module 903, and performs training to acquire a sliding track simulation model.
The model can be used for simulating track simulation information formed when a user slides the slider in a specific type. Thus, the simulation module 703 simultaneously substitutes the slider verification information and the user information acquired in other ways to calculate and obtain the sliding track simulation information conforming to the characteristics of the current user type by using the sliding track simulation model obtained by the training of the apparatus shown in fig. 9.
It will be appreciated by those skilled in the art that the modules in the embodiments of the apparatus described above may be distributed in an apparatus as described, or may be distributed in one or more apparatuses different from the embodiments described above with corresponding changes. The modules of the above embodiments may be combined into one module, or may be further split into a plurality of sub-modules.
The following describes an embodiment of an electronic device according to the present invention, which may be regarded as a specific physical implementation of the above-described embodiment of the method and apparatus according to the present invention. Details described in relation to the embodiments of the electronic device of the present invention should be considered as additions to the embodiments of the method or apparatus described above; for details not disclosed in the embodiments of the electronic device of the present invention, reference may be made to the above-described method or apparatus embodiments.
Fig. 10 is a block diagram of an exemplary embodiment of an electronic device according to the present invention. An electronic device 1000 according to the embodiment of the present invention is described below with reference to fig. 10. The electronic device 1000 shown in fig. 10 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 10, the electronic device 1000 is embodied in the form of a general purpose computing device. Components of electronic device 1000 may include, but are not limited to: at least one processing unit 1010, at least one memory unit 1020, a bus 1030 connecting the various system components (including the memory unit 1020 and the processing unit 1010), a display unit 1040, and the like.
Wherein the storage unit stores program code that is executable by the processing unit 1010 such that the processing unit 1010 performs the steps according to various exemplary embodiments of the present invention described in the electronic prescription stream processing method section above in this specification. For example, the processing unit 1010 may perform the steps shown in fig. 2.
The memory unit 1020 may include readable media in the form of volatile memory units such as Random Access Memory (RAM) 10201 and/or cache memory unit 10202, and may further include Read Only Memory (ROM) 10203.
The memory unit 1020 may also include a program/utility 10204 having a set (at least one) of program modules 10205, such program modules 10205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 1030 may be representing one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 1000 may also be in communication with one or more external devices 1000' (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 1000, and/or with any device (e.g., router, modem, etc.) that enables the electronic device 1000 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 1050. Also, electronic device 1000 can communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 1060. The network adapter 1060 may communicate with other modules of the electronic device 1000 via the bus 1030. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with the electronic device 1000, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the exemplary embodiments described herein may be implemented in software, or may be implemented in software in combination with necessary hardware. Thus, the technical solution according to the embodiments of the present invention may be embodied in the form of a software product, which may be stored in a computer readable storage medium (may be a CD-ROM, a usb disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, or a network device, etc.) to perform the above-mentioned method according to the present invention. The computer program, when executed by a data processing device, enables the computer readable medium to carry out the above-described method of the present invention.
The computer program may be stored on one or more computer readable media. The computer readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable storage medium may also be any readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
In summary, the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functionality of some or all of the components in accordance with embodiments of the present invention may be implemented in practice using a general purpose data processing device such as a microprocessor or Digital Signal Processor (DSP). The present invention can also be implemented as an apparatus or device program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present invention may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.
The above-described specific embodiments further describe the objects, technical solutions and advantageous effects of the present invention in detail, and it should be understood that the present invention is not inherently related to any particular computer, virtual device or electronic apparatus, and various general-purpose devices may also implement the present invention. The foregoing description of the embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (16)
1. The page information acquisition method based on the sliding track simulation is characterized by comprising the following steps of:
acquiring a first page, wherein the first page comprises an information page and a slider verification page above the information page;
acquiring slider verification information based on the slider verification page identification, wherein the slider verification information comprises initial position information and end position information of a slider;
selecting any point in the first page frame as a coordinate origin, and acquiring position information of other frames in the coordinate system;
judging and generating a frame position by the sliding block frame according to the center point or the corner point;
collecting initial position information of which the initial position is the slider frame;
collecting the right side rail position of the sliding block track frame or the side length position of the sliding block in the right side rail as the end position of the sliding block;
acquiring information of a manual sliding user, and associating the information with the slider verification information;
substituting the sliding block verification information and the user information into a sliding track simulation model to obtain sliding track simulation information, wherein the sliding track simulation information is track data with a time mark, and the track data comprises sliding distance data, position data, speed data and offset data of the sliding block;
The sliding track simulation information is sent to a verification server;
if the verification rule is met, the verification server side sends a verification code to the client terminal so that the client terminal passes the verification;
and after the verification is passed, accessing the information page to acquire page information.
2. The method of claim 1, wherein the obtaining slider verification information based on the slider verification page identification further comprises:
screenshot to obtain the first page picture;
and identifying the sliding block and the sliding block track by utilizing an image identification technology so as to acquire initial position information and end position information of the sliding block.
3. The method of claim 1, wherein the slider position information data comprises raw position information data or processed position information data.
4. A method according to claim 3, wherein the processed location information data further comprises:
and carrying out normalization processing or percentage processing on the original position information data.
5. The method as recited in claim 1, further comprising:
sample data are collected for different types of slide block verification pages, wherein the sample data comprise page data and track data generated when the slide block is manually slid;
And training based on the sample data to form a sliding track simulation model.
6. The method of claim 5, wherein the page data further comprises:
the screen shots of the slide block verification pages of different types are acquired to obtain slide block verification page pictures;
and identifying the sliding block and the sliding block track by utilizing an image identification technology so as to acquire initial position information and end position information of the sliding block.
7. The method as recited in claim 1, further comprising:
the verification server is arranged on the server or locally.
8. The page information acquisition device based on the sliding track simulation is characterized by comprising:
the page module is used for acquiring a first page, wherein the first page comprises an information page and a slide block verification page above the information page;
the information module is used for acquiring slider verification information based on the slider verification page identification, wherein the slider verification information comprises initial position information and end position information of the slider; selecting any point in the first page frame as a coordinate origin, and acquiring position information of other frames in the coordinate system; the sliding block frame can judge and generate the frame position by the center point or the corner point; collecting initial position information of which the initial position is the slider frame; collecting the right side rail position of the sliding block track frame or the side length position of the sliding block in the right side rail as the end position of the sliding block; acquiring information of a manual sliding user, and associating the information with the slider verification information;
The simulation module is used for substituting the sliding block verification information and the user information into a sliding track simulation model to calculate and obtain sliding track simulation information, wherein the sliding track simulation information is track data with a time mark, and the track data comprises sliding distance data, position data, speed data and offset data of the sliding block;
the verification module is used for sending the sliding track simulation information to the verification server, and if the sliding track simulation information accords with the verification rule, the verification server sends a verification code to the client terminal so that the client terminal passes the verification;
and the acquisition module is used for acquiring the page information of the information page after the verification is passed.
9. The apparatus of claim 8, wherein the information module further comprises:
the screenshot unit is used for screenshot to acquire a slide block verification page picture;
and the identification unit is used for identifying the sliding block and the sliding block track by utilizing an image identification technology so as to acquire the initial position and the final position of the sliding block.
10. The apparatus of claim 8, wherein the slider position information data comprises raw position information data or processed position information data.
11. The apparatus of claim 10, wherein the processed location information data further comprises:
And carrying out normalization processing or percentage processing on the original position information data.
12. The apparatus as recited in claim 8, further comprising:
the sample collection module is used for collecting sample data aiming at different types of slide block verification pages, wherein the sample data comprises page data and track data generated when the slide block is manually slid;
and the model training module is used for training and forming a sliding track simulation model based on the sample data.
13. The apparatus of claim 12, wherein the sample collection module further comprises:
the sample screenshot unit is used for performing screenshot on the sliding block verification pages of different types to obtain sliding block verification page pictures;
and the sample identification unit is used for identifying the sliding block and the sliding block track by utilizing an image identification technology so as to acquire initial position information and end position information of the sliding block.
14. The apparatus as recited in claim 8, further comprising:
the verification server is arranged on the server or locally.
15. An electronic device, wherein the electronic device comprises:
a processor; the method comprises the steps of,
a memory storing computer executable instructions that, when executed, cause the processor to perform the method of any of claims 1-7.
16. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of claims 1-7.
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| CN113900571B (en) * | 2021-10-14 | 2023-11-14 | 北京淇瑀信息科技有限公司 | Information display method and device and electronic equipment |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108008898A (en) * | 2017-12-13 | 2018-05-08 | 东软集团股份有限公司 | Page info acquisition methods, device, computer equipment and storage medium |
| CN109241709A (en) * | 2018-08-03 | 2019-01-18 | 平安科技（深圳）有限公司 | User behavior recognition method and device based on the verifying of sliding block identifying code |
| CN109684803A (en) * | 2018-12-19 | 2019-04-26 | 西安电子科技大学 | Man-machine verification method based on gesture sliding |
| CN109858230A (en) * | 2019-01-08 | 2019-06-07 | 平安科技（深圳）有限公司 | Sliding block verification method, device, computer equipment and storage medium |
| CN109902470A (en) * | 2019-01-08 | 2019-06-18 | 平安科技（深圳）有限公司 | Sliding block verification method, device, computer equipment and storage medium |
| CN109977650A (en) * | 2019-02-27 | 2019-07-05 | 深圳点猫科技有限公司 | A kind of method and electronic equipment being automatically performed sliding block verifying based on browser |
| CN110532755A (en) * | 2019-08-09 | 2019-12-03 | 北京三快在线科技有限公司 | A kind of method and device of computer implemented risk identification |
| CN111309222A (en) * | 2019-11-28 | 2020-06-19 | 苏宁金融科技(南京)有限公司 | Sliding block notch positioning and dragging track generation method for sliding block verification code |
| CN111310156A (en) * | 2019-11-28 | 2020-06-19 | 苏宁金融科技(南京)有限公司 | Automatic identification method and system for slider verification code |
| CN111310155A (en) * | 2019-11-28 | 2020-06-19 | 苏宁金融科技(南京)有限公司 | System architecture for automatic identification of slider verification code and implementation method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190311114A1 (en) * | 2018-04-09 | 2019-10-10 | Zhongan Information Technology Service Co., Ltd. | Man-machine identification method and device for captcha |
-
2020
- 2020-07-14 CN CN202010676520.XA patent/CN112016077B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108008898A (en) * | 2017-12-13 | 2018-05-08 | 东软集团股份有限公司 | Page info acquisition methods, device, computer equipment and storage medium |
| CN109241709A (en) * | 2018-08-03 | 2019-01-18 | 平安科技（深圳）有限公司 | User behavior recognition method and device based on the verifying of sliding block identifying code |
| CN109684803A (en) * | 2018-12-19 | 2019-04-26 | 西安电子科技大学 | Man-machine verification method based on gesture sliding |
| CN109858230A (en) * | 2019-01-08 | 2019-06-07 | 平安科技（深圳）有限公司 | Sliding block verification method, device, computer equipment and storage medium |
| CN109902470A (en) * | 2019-01-08 | 2019-06-18 | 平安科技（深圳）有限公司 | Sliding block verification method, device, computer equipment and storage medium |
| CN109977650A (en) * | 2019-02-27 | 2019-07-05 | 深圳点猫科技有限公司 | A kind of method and electronic equipment being automatically performed sliding block verifying based on browser |
| CN110532755A (en) * | 2019-08-09 | 2019-12-03 | 北京三快在线科技有限公司 | A kind of method and device of computer implemented risk identification |
| CN111309222A (en) * | 2019-11-28 | 2020-06-19 | 苏宁金融科技(南京)有限公司 | Sliding block notch positioning and dragging track generation method for sliding block verification code |
| CN111310156A (en) * | 2019-11-28 | 2020-06-19 | 苏宁金融科技(南京)有限公司 | Automatic identification method and system for slider verification code |
| CN111310155A (en) * | 2019-11-28 | 2020-06-19 | 苏宁金融科技(南京)有限公司 | System architecture for automatic identification of slider verification code and implementation method |
Non-Patent Citations (2)
| Title |
|---|
| 基于面向对象的MDA三级建模技术;黄建庭等;《计算机应用》;20100228;第30卷(第02期);第385-389页 * |
| 滑块式验证码的破解方法研究;朱林果;《中国优秀硕士学位论文全文数据库》;20190630;信息科技辑 I138-442 * |
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