CN110750771A - Login authentication method and device, computer equipment and storage medium - Google Patents
Login authentication method and device, computer equipment and storage medium Download PDFInfo
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- CN110750771A CN110750771A CN201910848890.4A CN201910848890A CN110750771A CN 110750771 A CN110750771 A CN 110750771A CN 201910848890 A CN201910848890 A CN 201910848890A CN 110750771 A CN110750771 A CN 110750771A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/45—Structures or tools for the administration of authentication
Abstract
The application relates to the technical field of intelligent interaction, and provides a login authentication method, a login authentication device, computer equipment and a storage medium.
Description
Technical Field
The present application relates to the field of intelligent interaction technologies, and in particular, to a login authentication method and apparatus, a computer device, and a storage medium.
Background
At present, when a user accesses a certain page or with the help of certain tools, login authentication operations are often required to be performed, for example, the user logs in an authentication mailbox, the user logs in an authentication bank account, and the like.
The traditional login authentication mode mainly comprises a login authentication mode based on face recognition, and a computer directly verifies the identity of a user through the face recognition to complete login authentication operation.
Therefore, the traditional login authentication mode based on face recognition is easy to cause recognition errors due to appearance change or wearing of glasses and the like, and the recognition efficiency is low.
Disclosure of Invention
In view of the above, it is desirable to provide a login authentication method, device, computer device and storage medium that do not rely on face recognition.
A login authentication method, the method comprising:
when a preset instruction for inputting a login gesture is detected, acquiring a login gesture image;
identifying a plurality of finger joint key points in the login gesture image, and determining position data among the finger joint key points;
if the corresponding coding information is inquired from a preset database according to the position data, the coding information is sent to a server, and the server is used for performing login authentication according to the coding information;
and if the corresponding coding information cannot be inquired from the preset database according to the position data, pushing a prompt message of the login gesture input error.
In one embodiment, the identifying a plurality of knuckle key points in the login gesture image comprises:
and identifying a plurality of finger joint key points in the login gesture image through a gesture identification model.
In one embodiment, the number of the login gesture images is multiple;
the determining position data between a plurality of the knuckle key points comprises:
determining position data among a plurality of finger joint key points corresponding to the login gesture images to obtain a plurality of groups of position data;
after the determining the position data among the plurality of the finger joint key points, the method further comprises the following steps:
and acquiring codes corresponding to each group of the position data and combining the codes to obtain code information.
In one embodiment, before the step of collecting the login gesture image in response to the user login operation, the method further includes:
responding to a user login code setting operation;
acquiring image data of a user-defined coding gesture and a user-defined code input by a user;
identifying the position data of the key point of the finger joint corresponding to the user-defined coding gesture through a gesture identification model of openfuse according to the image data of the user-defined coding gesture;
and storing the corresponding relation between the user-defined code input by the user and the finger joint key point position data corresponding to the user-defined code gesture to the preset database, and sending the user-defined code input by the user to the server.
In one embodiment, collecting the custom code entered by the user comprises:
receiving a coding sequence input by a user;
judging whether two adjacent coded same events exist in a coded sequence input by a user;
if yes, feeding back an error message set by the coding sequence to the user;
and if the user-defined coding gesture does not exist, identifying the position data of the key point of the finger joint corresponding to the user-defined coding gesture according to the image data of the user-defined coding gesture.
In one embodiment, querying the corresponding encoding information from the preset database according to the location data includes:
extracting the position data of the key point of the finger joint of each finger in the position data;
determining the relative spatial position relationship between the key points of the finger joints on a single finger according to the key point position data of the finger joints of each finger;
and obtaining coding information corresponding to the number of the extended fingers according to the relative spatial position relationship between the key points of the finger joints on each finger.
In one embodiment, querying the corresponding encoding information from the preset database according to the location data includes:
searching 3 finger joint key points belonging to the same finger according to the position data;
when the 3 knuckle key points are in the same straight line, judging that fingers corresponding to the 3 knuckle key points extend out;
the number of the extended fingers is used as the coded information.
A login authentication apparatus, the apparatus comprising:
the image acquisition module is used for acquiring login gesture images when a preset instruction for inputting the login gesture is detected;
the key point acquisition module is used for identifying a plurality of finger joint key points in the login gesture image and determining position data among the finger joint key points;
the first query module is used for sending the coding information to a server when the corresponding coding information is queried from a preset database according to the position data, and the server is used for performing login authentication according to the coding information;
and the second query module is used for pushing a prompt message of a login gesture input error when the corresponding coding information cannot be queried from the preset database according to the position data.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method as described above when executing the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method as described above.
The login authentication method, the login authentication device, the computer equipment and the storage medium adopt a gesture recognition mode, accurately recognize the code input by the current login operation of the user based on the corresponding relation between the position data and the code between the finger joint key points corresponding to the input login gesture image, do not depend on face recognition, avoid recognition errors caused by face feature change, and can efficiently and accurately realize login authentication.
Drawings
FIG. 1 is a diagram of an application environment for a login authentication method in one embodiment;
FIG. 2 is a flowchart illustrating a login authentication method according to an embodiment;
FIG. 3 is a block diagram showing the structure of a login authentication apparatus according to an embodiment;
FIG. 4 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The login authentication method provided by the application can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. A user logs in the terminal 102, and when the terminal 102 detects a preset instruction for inputting a login gesture, the terminal 102 calls an image acquisition device (such as a camera) to acquire a login gesture image; identifying a plurality of finger joint key points in the login gesture image, and determining position data among the plurality of finger joint key points; when the corresponding coding information is inquired from the preset database according to the position data, the coding information is sent to the server 104, and the server 104 performs login authentication according to the coding information; when the corresponding coding information cannot be inquired from the preset database according to the position data, the terminal 102 pushes a prompt message of the login gesture input error to the user, so that the user can know the current login gesture input error. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, a login authentication method is provided, which is described by taking the method as an example applied to the terminal in fig. 1, and includes the following steps:
s200: and when a preset instruction for inputting a login gesture is detected, acquiring a login gesture image.
The method comprises the steps that a user logs in the terminal, when the terminal detects a preset instruction for inputting a login gesture, the terminal enters an image acquisition mode, and a gesture image of the user is acquired. In practical application, a user clicks a login website on a terminal to access a server and enter a login interface, the server feeds back a preset instruction, when the terminal detects the preset instruction for inputting the login gesture, an image acquisition function is started, a login gesture image is acquired, and the login gesture image can be completed through a camera on the terminal.
S400: a plurality of knuckle key points in the login gesture image are identified, and position data between the plurality of knuckle key points is determined.
The finger joint key points refer to the key points on each finger, and specifically, a plurality of finger joint key points in the login gesture image can be recognized through the gesture recognition model, and the position data among the finger joint key points is determined. More specifically, a plurality of finger joint key points in a login gesture image can be identified through a gesture recognition model of openposition, and position data among the plurality of finger joint key points is determined.
S600: and if the corresponding coding information is inquired from the preset database according to the position data, the coding information is sent to a server, and the server is used for login authentication according to the coding information.
The corresponding relation between the position data and the codes is stored in the preset database, when the corresponding code information is inquired from the preset database according to the position data, the login gesture is successfully input at this time, the terminal sends the obtained code information to the server, the server performs login authentication according to the code information, when the code information is consistent with the preset code information, the server judges that the login authentication is successful, and the user can perform the next operation on the terminal; when the coding information is inconsistent with the preset coding information, the server judges that the login authentication fails, the server can feed back a prompt message of the login authentication failure to the terminal, and the terminal displays the information to the user.
S800: and if the corresponding coding information cannot be inquired from the preset database according to the position data, pushing a prompt message of the login gesture input error.
When the corresponding coding information cannot be inquired from the preset database according to the position data, the login gesture input error is indicated, the terminal pushes a prompt message of the login gesture input error to the user, and the user can select to input the login gesture image again.
According to the login authentication method, a gesture recognition mode is adopted, the code input by the current login operation of the user is accurately recognized based on the corresponding relation between the position data and the code of the finger joint key points corresponding to the input login gesture image, the face recognition is not relied on, the recognition error caused by the change of the face features is avoided, and the login authentication can be efficiently and accurately realized.
In one embodiment, the number of login gesture images is multiple; determining position data between a plurality of finger joint keypoints comprises: determining position data among a plurality of finger joint key points corresponding to each login gesture image to obtain a plurality of groups of position data; after determining the position data among a plurality of finger joint key points, the method further comprises the following steps: and acquiring and combining codes corresponding to each group of position data to obtain code information.
The number of the login gesture images can be multiple, multiple groups of position data and multiple codes are correspondingly obtained, and the multiple codes are combined to obtain coded information. For example, the login gesture image currently input by the user includes 3 login gesture images in total, i.e., image 1, image 2, and image 3, the position data No. 1 corresponding to image 1, the position data No. 2 corresponding to fig. 2, and the position data No. 3 of image 3 are determined, the code corresponding to the position data No. 1 is obtained as 1, the code corresponding to the position data No. 2 is obtained as 2, and the code corresponding to the position data No. 3 is obtained as 3, and the code information 123 is obtained by combining the code 1, the code 2, and the code 3.
In one embodiment, before acquiring the login gesture image in response to the user login operation, the method further includes: responding to a user login code setting operation; acquiring image data of a user-defined coding gesture and a user-defined code input by a user; identifying the position data of the key point of the finger joint corresponding to the user-defined coding gesture through a gesture identification model of openfuse according to the image data of the user-defined coding gesture; storing the corresponding relation between the user-defined code input by the user and the finger joint key point position data corresponding to the user-defined code gesture to a preset database, and sending the user-defined code input by the user to a server.
The whole scheme further comprises a user-defined code setting stage, when the terminal is in the user-defined code setting stage, the terminal responds to user-defined login code setting operation, images of user-defined code gestures and user-defined codes correspondingly input by the user are collected, the data of the key point positions of the finger joints are identified through a gesture recognition model of openpos for the images of the user-defined code gestures, the corresponding relation of the user-defined codes and the data of the key point positions of the finger joints corresponding to the user-defined code gestures is sent to a server, and the server stores the codes as login authentication codes (passwords). Furthermore, the number of the corresponding extending fingers of different user-defined coding gestures is different. That is, the code may correspond to the number of the protruding fingers, and the code may be selected to be a number within 0 to 5 or within 0 to 10.
In practical application, a user operates on a terminal, clicks a setting button on a display interface of the terminal, enters a code setting stage, the terminal starts an image acquisition function of the terminal, the user sequentially makes a customized first gesture of 'scissors hand', a customized second gesture of 'extending out a middle finger' and a customized third gesture of 'extending out a middle finger, an index finger and a ring finger', the user inputs 213 codes to the terminal while making the customized gestures, the terminal acquires image data of the first gesture, the second gesture and the third gesture, finger joint key point position data corresponding to the first gesture, the second gesture and the third gesture are identified through a gesture identification model of openpos (for example, for a first finger joint key point, including 6 finger joint key points which are relatively in a 'V' shape with connecting lines, wherein 3 finger joint key points are on one straight line, and the other 3 finger joint key points are on the other straight line, the two straight lines form a V shape), the terminal stores the code 213 and the position data of the key points of the finger joints of the corresponding first gesture, second gesture and third gesture in an associated manner to form a corresponding relationship between the two, and sends the self-defined code input by the user to the server as a login authentication code.
In one embodiment, collecting the custom code entered by the user comprises: receiving a coding sequence input by a user; judging whether two adjacent coded same events exist in a coded sequence input by a user; if yes, feeding back an error message set by the coding sequence to the user; and if the user defined coding gesture does not exist, identifying the position data of the finger joint key point corresponding to the user defined coding gesture according to the image data of the user defined coding gesture.
When a user registers in a webpage account, the coding sequence is input into the terminal, the terminal sends the coding sequence to the webpage server for storage, and the coding sequence is respectively input according to different webpages and different account user requirements. When the user records the codes, the user can adopt a manual recording mode or a voice recording mode. The coded sequence only can be composed of numbers not greater than 10, and an edge triggering mode is adopted in the subsequent coding gesture recognition for supporting, so that the situation that two adjacent codes are the same cannot exist in the coded sequence in the coding setting stage, and when the two adjacent codes exist, an error message is fed back to a user by the coded sequence, for example, a 'setting error' text message or a voice message is fed back to the user; when not present, this goes to subsequent processing. Correspondingly, in the gesture code recognition stage, the user code gesture is recognized through the gesture recognition model of openfuse in an edge triggering mode. Specifically, a login gesture image is acquired in real time, a user gesture is recognized through a gesture recognition model of openpos, when user coding gestures recognized at two adjacent moments are the same, a new code is not triggered, and only codes corresponding to the same coding gesture are obtained; when the user code gestures recognized at two adjacent moments are different, the corresponding codes are triggered and obtained. Taking code 3 as an example, when two adjacent moments recognize that the code gesture is the gesture corresponding to code 3, the terminal recognizes a single code 3, but does not recognize the code 33, and only if the code gestures recognized at the adjacent moments are different, the corresponding code is generated. In other words, 3322 is such an invalid code.
In one embodiment, querying the corresponding encoded information from the preset database according to the location data includes: extracting the position data of the key point of the finger joint of each finger in the position data; determining the relative spatial position relationship between the key points of the finger joints on a single finger according to the key point position data of the finger joints of each finger; and obtaining coding information corresponding to the number of the extended fingers according to the relative spatial position relationship between the key points of the finger joints on each finger.
The method comprises the steps of taking fingers as distinguishing objects, screening out position data of key points of finger joints of each finger from the position data of the key points of the finger joints, determining the relative spatial position relation between the key points of the finger joints on a single finger, constructing a spatial coordinate system according to the mutual spatial position relation, showing in the spatial coordinate system in a manner of marking and adding coordinates of the key points of each finger joint, identifying whether the finger stretches out or not according to the relative spatial position relation between the key points of the finger joints on the same finger, and obtaining codes corresponding to the number of the stretched fingers.
In one embodiment, querying the corresponding encoded information from the preset database according to the location data includes: searching 3 finger joint key points belonging to the same finger according to the position data; when the 3 finger joint key points are positioned on the same straight line, judging that the fingers corresponding to the 3 finger joint key points are stretched out; the number of the extended fingers is used as the coded information.
If one were to put out the hand gesture of a scissors hand (numeric code 2), we could get at least the position information of the 3 knuckle key points of the index finger, and the 3 knuckle key points of the middle finger. Using this positional information, we calculate the spatial relative positional relationship of the 6 finger joint keypoints (e.g., whether the point on the index finger and the point on the middle finger are on a straight line) to determine whether it is a particular scissors hand gesture. Similarly, if 3 fingers are detected with keypoints arranged in a straight line, code 3 can be considered.
It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
As shown in fig. 3, a login authentication apparatus includes:
the image acquisition module 200 is used for acquiring a login gesture image when a preset instruction for inputting a login gesture is detected;
a key point obtaining module 400, configured to identify a plurality of finger joint key points in the login gesture image, and determine position data between the plurality of finger joint key points;
the first query module 600 is configured to send the coding information to a server when querying corresponding coding information from a preset database according to the position data, where the server is configured to perform login authentication according to the coding information;
the second query module 800 is configured to push a prompt message indicating that the login gesture input is incorrect when the corresponding encoding information cannot be queried from the preset database according to the location data.
The login authentication device adopts a gesture recognition mode, accurately recognizes the code input by the current login operation of the user based on the corresponding relation between the position data and the code of the finger joint key points corresponding to the input login gesture image, does not depend on face recognition, avoids recognition errors caused by face feature change, and can efficiently and accurately realize login authentication.
In one embodiment, the key point obtaining module 400 is further configured to identify a plurality of finger joint key points in the login gesture image through a gesture recognition model.
In one embodiment, the number of login gesture images is multiple; the key point obtaining module 400 is further configured to determine position data between a plurality of finger joint key points corresponding to each login gesture image, so as to obtain a plurality of sets of position data; the first query module 600 is further configured to obtain codes corresponding to each group of location data and combine the codes to obtain coded information.
In one embodiment, the login authentication device further includes a setting module, configured to respond to a user login code setting operation; acquiring image data of a user-defined coding gesture and a user-defined code input by a user; identifying the position data of the key point of the finger joint corresponding to the user-defined coding gesture through a gesture identification model of openfuse according to the image data of the user-defined coding gesture; storing the corresponding relation between the user-defined code input by the user and the finger joint key point position data corresponding to the user-defined code gesture to a preset database, and sending the user-defined code input by the user to a server.
In one embodiment, the setting module is further configured to receive a coded sequence input by a user; judging whether two adjacent coded same events exist in a coded sequence input by a user; if yes, feeding back an error message set by the coding sequence to the user; and if the user defined coding gesture does not exist, identifying the position data of the finger joint key point corresponding to the user defined coding gesture according to the image data of the user defined coding gesture.
In one embodiment, the first query module 600 is further configured to extract the knuckle key point position data of each finger in the position data; determining the relative spatial position relationship between the key points of the finger joints on a single finger according to the key point position data of the finger joints of each finger; and obtaining coding information corresponding to the number of the extended fingers according to the relative spatial position relationship between the key points of the finger joints on each finger.
In one embodiment, the first query module 600 is further configured to find 3 knuckle key points belonging to the same finger according to the position data; when the 3 finger joint key points are positioned on the same straight line, judging that the fingers corresponding to the 3 finger joint key points are stretched out; the number of the extended fingers is used as the coded information.
For specific limitations of the login authentication device, reference may be made to the above limitations of the login authentication method, which is not described herein again. The modules in the login authentication device may be wholly or partially implemented by software, hardware, or a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing data such as the corresponding relation between the user-defined code input by the user and the finger joint key point position data corresponding to the user-defined code gesture. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a login authentication method.
Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
when a preset instruction for inputting a login gesture is detected, acquiring a login gesture image;
identifying a plurality of finger joint key points in the login gesture image, and determining position data among the plurality of finger joint key points;
if the corresponding coding information is inquired from the preset database according to the position data, the coding information is sent to a server, and the server is used for login authentication according to the coding information;
and if the corresponding coding information cannot be inquired from the preset database according to the position data, pushing a prompt message of the login gesture input error.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and identifying a plurality of finger joint key points in the login gesture image through a gesture identification model.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
determining position data among a plurality of finger joint key points corresponding to each login gesture image to obtain a plurality of groups of position data; and acquiring and combining codes corresponding to each group of position data to obtain code information.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
responding to a user login code setting operation; acquiring image data of a user-defined coding gesture and a user-defined code input by a user; identifying the position data of the key point of the finger joint corresponding to the user-defined coding gesture through a gesture identification model of openfuse according to the image data of the user-defined coding gesture; storing the corresponding relation between the user-defined code input by the user and the finger joint key point position data corresponding to the user-defined code gesture to a preset database, and sending the user-defined code input by the user to a server.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
receiving a coding sequence input by a user; judging whether two adjacent coded same events exist in a coded sequence input by a user; if yes, feeding back an error message set by the coding sequence to the user; and if the user defined coding gesture does not exist, identifying the position data of the finger joint key point corresponding to the user defined coding gesture according to the image data of the user defined coding gesture.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
extracting the position data of the key point of the finger joint of each finger in the position data; determining the relative spatial position relationship between the key points of the finger joints on a single finger according to the key point position data of the finger joints of each finger; and obtaining coding information corresponding to the number of the extended fingers according to the relative spatial position relationship between the key points of the finger joints on each finger.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
searching 3 finger joint key points belonging to the same finger according to the position data; when the 3 finger joint key points are positioned on the same straight line, judging that the fingers corresponding to the 3 finger joint key points are stretched out; the number of the extended fingers is used as the coded information.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
when a preset instruction for inputting a login gesture is detected, acquiring a login gesture image;
identifying a plurality of finger joint key points in the login gesture image, and determining position data among the plurality of finger joint key points;
if the corresponding coding information is inquired from the preset database according to the position data, the coding information is sent to a server, and the server is used for login authentication according to the coding information;
and if the corresponding coding information cannot be inquired from the preset database according to the position data, pushing a prompt message of the login gesture input error.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and identifying a plurality of finger joint key points in the login gesture image through a gesture identification model.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining position data among a plurality of finger joint key points corresponding to each login gesture image to obtain a plurality of groups of position data; and acquiring and combining codes corresponding to each group of position data to obtain code information.
In one embodiment, the computer program when executed by the processor further performs the steps of:
responding to a user login code setting operation; acquiring image data of a user-defined coding gesture and a user-defined code input by a user; identifying the position data of the key point of the finger joint corresponding to the user-defined coding gesture through a gesture identification model of openfuse according to the image data of the user-defined coding gesture; storing the corresponding relation between the user-defined code input by the user and the finger joint key point position data corresponding to the user-defined code gesture to a preset database, and sending the user-defined code input by the user to a server.
In one embodiment, the computer program when executed by the processor further performs the steps of:
receiving a coding sequence input by a user; judging whether two adjacent coded same events exist in a coded sequence input by a user; if yes, feeding back an error message set by the coding sequence to the user; and if the user defined coding gesture does not exist, identifying the position data of the finger joint key point corresponding to the user defined coding gesture according to the image data of the user defined coding gesture.
In one embodiment, the computer program when executed by the processor further performs the steps of:
extracting the position data of the key point of the finger joint of each finger in the position data; determining the relative spatial position relationship between the key points of the finger joints on a single finger according to the key point position data of the finger joints of each finger; and obtaining coding information corresponding to the number of the extended fingers according to the relative spatial position relationship between the key points of the finger joints on each finger.
In one embodiment, the computer program when executed by the processor further performs the steps of:
searching 3 finger joint key points belonging to the same finger according to the position data; when the 3 finger joint key points are positioned on the same straight line, judging that the fingers corresponding to the 3 finger joint key points are stretched out; the number of the extended fingers is used as the coded information.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A login authentication method, the method comprising:
when a preset instruction for inputting a login gesture is detected, acquiring a login gesture image;
identifying a plurality of finger joint key points in the login gesture image, and determining position data among the finger joint key points;
if the corresponding coding information is inquired from a preset database according to the position data, the coding information is sent to a server, and the server is used for performing login authentication according to the coding information;
and if the corresponding coding information cannot be inquired from the preset database according to the position data, pushing a prompt message of the login gesture input error.
2. The method of claim 1, wherein the identifying a plurality of finger key points in the login gesture image comprises:
and identifying a plurality of finger joint key points in the login gesture image through a gesture identification model.
3. The method of claim 1, wherein the number of login gesture images is plural;
the determining position data between a plurality of the knuckle key points comprises:
determining position data among a plurality of finger joint key points corresponding to the login gesture images to obtain a plurality of groups of position data;
after the determining the position data among the plurality of the finger joint key points, the method further comprises the following steps:
and acquiring codes corresponding to each group of the position data and combining the codes to obtain code information.
4. The method of claim 1, wherein before capturing the login gesture image in response to the user login operation, further comprising:
responding to a user login code setting operation;
acquiring image data of a user-defined coding gesture and a user-defined code input by a user;
identifying the position data of the key point of the finger joint corresponding to the user-defined coding gesture through a gesture identification model of openfuse according to the image data of the user-defined coding gesture;
and storing the corresponding relation between the user-defined code input by the user and the finger joint key point position data corresponding to the user-defined code gesture to the preset database, and sending the user-defined code input by the user to the server.
5. The method of claim 4, wherein collecting the user entered custom code comprises:
receiving a coding sequence input by a user;
judging whether two adjacent coded same events exist in a coded sequence input by a user;
if yes, feeding back an error message set by the coding sequence to the user;
and if the user-defined coding gesture does not exist, identifying the position data of the key point of the finger joint corresponding to the user-defined coding gesture according to the image data of the user-defined coding gesture.
6. The method of claim 1, wherein querying the corresponding encoded information from the predetermined database according to the location data comprises:
extracting the position data of the key point of the finger joint of each finger in the position data;
determining the relative spatial position relationship between the key points of the finger joints on a single finger according to the key point position data of the finger joints of each finger;
and obtaining coding information corresponding to the number of the extended fingers according to the relative spatial position relationship between the key points of the finger joints on each finger.
7. The method of claim 1, wherein querying the corresponding encoded information from the predetermined database according to the location data comprises:
searching 3 finger joint key points belonging to the same finger according to the position data;
when the 3 knuckle key points are in the same straight line, judging that fingers corresponding to the 3 knuckle key points extend out;
the number of the extended fingers is used as the coded information.
8. A login authentication apparatus, the apparatus comprising:
the image acquisition module is used for acquiring login gesture images when a preset instruction for inputting the login gesture is detected;
the key point acquisition module is used for identifying a plurality of finger joint key points in the login gesture image and determining position data among the finger joint key points;
the first query module is used for sending the coding information to a server when the corresponding coding information is queried from a preset database according to the position data, and the server is used for performing login authentication according to the coding information;
and the second query module is used for pushing a prompt message of a login gesture input error when the corresponding coding information cannot be queried from the preset database according to the position data.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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| CN201910848890.4A CN110750771A (en) | 2019-09-09 | 2019-09-09 | Login authentication method and device, computer equipment and storage medium |
| PCT/CN2020/105017 WO2021047314A1 (en) | 2019-09-09 | 2020-07-28 | Login authentication method and apparatus, and computer device and storage medium |
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| WO2021047314A1 (en) * | 2019-09-09 | 2021-03-18 | 深圳壹账通智能科技有限公司 | Login authentication method and apparatus, and computer device and storage medium |
| CN112818320A (en) * | 2021-02-26 | 2021-05-18 | 上海交通大学 | Smartphone pattern password conjecture method based on video |
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| CN110750771A (en) * | 2019-09-09 | 2020-02-04 | 深圳壹账通智能科技有限公司 | Login authentication method and device, computer equipment and storage medium |
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2019
- 2019-09-09 CN CN201910848890.4A patent/CN110750771A/en active Pending
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