CN113255529A - Biological feature identification method, device and equipment - Google Patents
Biological feature identification method, device and equipment Download PDFInfo
- Publication number
- CN113255529A CN113255529A CN202110590455.3A CN202110590455A CN113255529A CN 113255529 A CN113255529 A CN 113255529A CN 202110590455 A CN202110590455 A CN 202110590455A CN 113255529 A CN113255529 A CN 113255529A
- Authority
- CN
- China
- Prior art keywords
- preset
- information
- biological characteristic
- user
- touch
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
-
- 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
-
- 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
- G06F21/36—User authentication by graphic or iconic representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/96—Management of image or video recognition tasks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/2133—Verifying human interaction, e.g., Captcha
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Security & Cryptography (AREA)
- Multimedia (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The embodiment of the specification provides a method, a device and equipment for identifying biological characteristics, wherein the method comprises the following steps: receiving biological characteristic video data which are uploaded by a terminal device and acquired in a biological characteristic identification process, wherein the biological characteristic video data comprise biological characteristic video information and human-computer interaction information, the human-computer interaction information comprises interaction data generated by interaction operation of a user on the basis of preset prompt information and a touch interaction interface displayed by the terminal device in the biological characteristic identification process, and the preset prompt information is used for indicating the user to be identified to execute preset touch interaction operation; judging whether the interactive data is matched with preset prompt information or not based on the biological characteristic video information, the human-computer interaction information and the preset prompt information; and carrying out biological feature recognition processing on the user based on the matching result of the interactive data and the preset prompt information.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method, an apparatus, and a device for recognizing a biometric characteristic.
Background
The security problem of biometric identification is an important research topic in the industry, and since biometric identification (such as face identification) has been gradually popularized in life and production of people, the security problem of face identification is also more and more related to information and property security of people.
However, an injection attack that a hacker acquires a biometric feature of a user by attacking a front camera of a terminal device, directly replaces an image acquired by the camera with an attack image, and then inputs the replaced attack image to the biometric feature recognition system has recently appeared. Aiming at the attack mode, the existing detection method is difficult to identify, so that serious potential safety hazards are brought to the information and property safety of people. Therefore, it is necessary to provide a technical solution capable of improving the security of biometric identification.
Disclosure of Invention
An embodiment of the present specification aims to provide a method, an apparatus and a device for identifying a biometric feature, so as to provide a technical scheme for improving security of biometric feature identification.
In order to solve the technical problem, the embodiment of the present specification is implemented as follows:
in a first aspect, an embodiment of the present specification provides a biometric identification method, including: receiving biological characteristic video data which are uploaded by a terminal device and acquired in a biological characteristic identification process, wherein the biological characteristic video data comprise biological characteristic video information and human-computer interaction information, the human-computer interaction information comprises interaction data generated by interaction operation of a user on the basis of preset prompt information and a touch interaction interface displayed by the terminal device in the biological characteristic identification process, and the preset prompt information is used for indicating the user to be identified to execute preset touch interaction operation. And judging whether the interactive data is matched with the preset prompt information or not based on the biological characteristic video information, the human-computer interaction information and the preset prompt information. And carrying out biological feature recognition processing on the user based on the matching result of the interactive data and the preset prompt information.
In a second aspect, an embodiment of the present specification provides a biometric identification method, including: and when a biological characteristic identification request is received, displaying a touch interactive interface and collecting biological characteristic video information. And receiving interactive operation of a user to be identified in the process of biological feature identification based on preset prompt information touch control interactive interface, and generating human-computer interaction information based on the interactive operation. And generating biological characteristic video data based on the biological characteristic video information and the human-computer interaction information. And sending the biological characteristic video data to a server so that the server performs biological characteristic identification processing on the user to be identified.
In a third aspect, an embodiment of the present specification provides an apparatus for identifying a biometric feature, including: the first receiving module is used for receiving biological characteristic video data which are uploaded by the terminal equipment and acquired in the biological characteristic identification process, wherein the biological characteristic video data comprise biological characteristic video information and human-computer interaction information, the human-computer interaction information comprises interaction data which are generated by interaction operation of a user with a touch interaction interface displayed by the terminal equipment based on preset prompt information in the biological characteristic identification process, and the preset prompt information is used for indicating the user to be identified to execute the preset touch interaction operation. And the first judgment module judges whether the interactive data is matched with the preset prompt information or not based on the biological characteristic video information, the human-computer interaction information and the preset prompt information. And the identification module is used for carrying out biological feature identification processing on the user based on the matching result of the interactive data and the preset prompt information.
In a fourth aspect, an embodiment of the present specification provides an apparatus for identifying a biometric feature, including: and the first processing module is used for displaying the touch interactive interface and acquiring the biological characteristic video information when receiving the biological characteristic identification request. And the fourth receiving module is used for receiving interactive operation performed by the user to be identified in the process of biological feature identification based on the preset prompt information touch control interactive interface and generating human-computer interaction information based on the interactive operation. And the generating module is used for generating the biological characteristic video data based on the biological characteristic video information and the human-computer interaction information. And the second sending module is used for sending the biological characteristic video data to the server so as to enable the server to carry out biological characteristic identification processing on the user to be identified.
In a fifth aspect, an embodiment of the present specification provides a biometric identification device, including: a processor. And a memory arranged to store computer executable instructions that, when executed, cause the processor to: receiving biological characteristic video data which are uploaded by a terminal device and acquired in a biological characteristic identification process, wherein the biological characteristic video data comprise biological characteristic video information and human-computer interaction information, the human-computer interaction information comprises interaction data generated by interaction operation of a user on the basis of preset prompt information and a touch interaction interface displayed by the terminal device in the biological characteristic identification process, and the preset prompt information is used for indicating the user to be identified to execute preset touch interaction operation. And judging whether the interactive data is matched with the preset prompt information or not based on the biological characteristic video information, the human-computer interaction information and the preset prompt information. And carrying out biological feature recognition processing on the user based on the matching result of the interactive data and the preset prompt information.
In a sixth aspect, an embodiment of the present specification provides a biometric identification device, including: a processor. And a memory arranged to store computer executable instructions that, when executed, cause the processor to: and when a biological characteristic identification request is received, displaying a touch interactive interface and collecting biological characteristic video information. And receiving interactive operation of a user to be identified in the process of biological feature identification based on preset prompt information touch control interactive interface, and generating human-computer interaction information based on the interactive operation. And generating biological characteristic video data based on the biological characteristic video information and the human-computer interaction information. And sending the biological characteristic video data to a server so that the server performs biological characteristic identification processing on the user to be identified.
In a seventh aspect, an embodiment of the present specification provides a storage medium for storing computer-executable instructions, where the computer-executable instructions, when executed, implement the following processes: receiving biological characteristic video data which are uploaded by a terminal device and acquired in a biological characteristic identification process, wherein the biological characteristic video data comprise biological characteristic video information and human-computer interaction information, the human-computer interaction information comprises interaction data generated by interaction operation of a user on the basis of preset prompt information and a touch interaction interface displayed by the terminal device in the biological characteristic identification process, and the preset prompt information is used for indicating the user to be identified to execute preset touch interaction operation. And judging whether the interactive data is matched with the preset prompt information or not based on the biological characteristic video information, the human-computer interaction information and the preset prompt information. And carrying out biological feature recognition processing on the user based on the matching result of the interactive data and the preset prompt information.
In an eighth aspect, embodiments of the present specification provide a storage medium for storing computer-executable instructions, which when executed implement the following processes: and when a biological characteristic identification request is received, displaying a touch interactive interface and collecting biological characteristic video information. And receiving interactive operation of a user to be identified in the process of biological feature identification based on preset prompt information touch control interactive interface, and generating human-computer interaction information based on the interactive operation. And generating biological characteristic video data based on the biological characteristic video information and the human-computer interaction information. And sending the biological characteristic video data to a server so that the server performs biological characteristic identification processing on the user to be identified.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.
Fig. 1A is a first flowchart of a biometric feature identification method provided in an embodiment of the present disclosure;
fig. 1B is a first schematic diagram of a processing procedure of a biometric identification method provided in an embodiment of the present disclosure;
fig. 2 is a second schematic diagram of a processing procedure of a biometric identification method provided in an embodiment of the present disclosure;
FIG. 3 is a third schematic diagram of a processing procedure of a biometric identification method provided in an embodiment of the present disclosure;
fig. 4 is a fourth schematic diagram of a processing procedure of a biometric identification method provided in an embodiment of the present specification;
fig. 5A is a second flowchart of a biometric feature identification method provided in an embodiment of the present disclosure;
fig. 5B is a fifth schematic diagram of a processing procedure of a biometric identification method provided in an embodiment of the present disclosure;
fig. 6 is a sixth schematic diagram of a processing procedure of a biometric identification method provided in an embodiment of the present specification;
fig. 7 is a schematic diagram illustrating a first module of a biometric identification apparatus provided in an embodiment of the present disclosure;
fig. 8 is a schematic diagram illustrating a second module of a biometric identification apparatus provided in an embodiment of the present disclosure;
fig. 9 is a schematic structural diagram of a biometric identification device provided in an embodiment of the present specification.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present specification, and not all of the embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present specification without any inventive step should fall within the scope of protection of the present specification.
As shown in fig. 1, an implementation subject of the method may be a biometric server, where the biometric server may be an independent server or a server cluster composed of a plurality of servers, and the biometric server may be configured to determine whether interaction data matches preset prompting information based on biometric video information, human-computer interaction information, and preset prompting information, and then perform biometric recognition processing on the user based on a matching result of the interaction data and the preset prompting information. The method may specifically comprise the steps of:
in step S102, receiving biometric video data acquired during biometric identification, which is uploaded by a terminal device, where the biometric video data includes biometric video information and human-computer interaction information, the human-computer interaction information includes interaction data generated by a user performing an interaction operation with a touch interface displayed by the terminal device during biometric identification, and the preset prompt information is used to instruct the user to be identified to perform a preset touch interaction operation.
The biometric information may be biometric information including iris features, or may be biometric information including facial features, which is not specifically limited in the embodiments of the present specification. The human-computer interaction information may include interaction operation information executed by the user based on preset prompt information (such as information of opening the mouth, blinking eyes, raising the head, shaking the head, and the like) in the process of biometric feature recognition. Or, the human-computer interaction information may further include interaction operation information executed by the user based on preset prompt information (e.g., pressing a preset key on the touch interaction interface) during the biometric feature recognition. Or dragging a preset icon displayed on the touch interactive interface from one position to interactive operation information executed at a preset position based on preset prompt information. Or, the above-mentioned human-computer interaction information may also include interaction operation information executed by the user based on preset prompting information (such as preset gesture operation) in the process of performing biometric feature recognition. The examples in this specification are not particularly limited thereto.
In practice, the security problem of biometric identification has been an important research topic in the industry, and since biometric identification (such as face identification) has been gradually popularized in life and production of people, the security problem of face identification is also more and more related to information and property security of people. However, an injection attack that a hacker acquires a biometric feature of a user by attacking a front camera of a terminal device, directly replaces an image acquired by the camera with an attack image, and then inputs the replaced attack image to the biometric feature recognition system has recently appeared. Aiming at the attack mode, the existing detection method is difficult to identify, so that serious potential safety hazards are brought to the information and property safety of people. For this reason, it is necessary to provide a technical solution capable of improving the security of biometric identification, and the following contents may be specifically mentioned.
In some optional implementation modes, a component for performing biometric identification and a camera component for shooting are installed in the terminal device of the user. If the user needs to perform biological feature identification when entering a certain application program, the user can trigger a biological feature identification key displayed by the terminal equipment, so that the terminal equipment can call the biological feature identification component after receiving the biological feature identification key triggered by the user, and start the camera shooting component to identify the biological feature to be identified of the user. As an example, taking the preset prompting information as dragging the preset icon displayed on the touch interactive interface from one position to a preset position as an example, after the terminal device receives a biological feature identification key triggered by a user, the camera assembly may be started to shoot a biological feature of the user to be identified, and simultaneously, the preset prompting information, and a preset image and preset position information corresponding to the preset prompting information may be displayed on the touch interactive interface, and the user may drag the preset icon displayed on the touch interactive interface from one position to a preset position based on the preset prompting information, so that the terminal device may obtain the biological feature video information and the human-computer interaction information, and send the obtained biological feature video information and the obtained human-computer interaction information as biological feature video data to the server, the server can receive the biological characteristic video data which are uploaded by the terminal equipment and acquired in the biological characteristic identification process.
In step S104, it is determined whether the interactive data matches the preset prompt information based on the biometric video information, the human-computer interaction information, and the preset prompt information.
In some optional implementation manners, taking the biological feature as a facial feature as an example, if the preset prompting message is to execute shaking the head left at a preset time, whether there is interactive data shaking the head left at the preset time in the interactive data may be determined based on the biological feature video information, the human-computer interaction information, and the preset prompting message. Or, for example, when the biometric feature is a facial feature, if the preset prompting message is that a preset icon displayed on the touch interactive interface is dragged from a position to a preset position at a preset time, it may be determined whether there is interactive data dragging the preset icon displayed on the touch interactive interface from a position to a preset position at the preset time in the interactive data based on the biometric video information, the human-computer interactive information, and the preset prompting message.
In step S106, biometric recognition processing is performed on the user based on the matching result of the interactive data and the preset prompt information.
In some alternative implementations, as an example in step S104, if it is determined whether there is interactive data shaking the head to the left at the preset time in the interactive data based on the matching result between the interactive data and preset prompting information, it may be determined that the biometric recognition is passed. Or, if it is determined that there is interactive data dragging a preset icon displayed on a touch interactive interface from one position to a preset position at the preset time in the interactive data based on a matching result of the interactive data and preset prompt information, it may be determined that the biometric identification is passed.
As can be seen from the technical solutions provided in the embodiments of the present specification, the biometric video data acquired during the biometric identification process uploaded by the terminal device is received, wherein the biometric video data includes biometric video information and human-computer interaction information, then, based on the biometric video information, the human-computer interaction information and the preset prompting information, whether the interaction data matches the preset prompting information is determined, and then, the biometric identification process is performed on the user based on the matching result of the interaction data and the preset prompting information, because the biometric video data acquired during the biometric identification process on the user includes the human-computer interaction data, the risk of video injection attack during the biometric identification process can be effectively avoided by performing the identification process on the acquired human-computer interaction data, thereby effectively improving the safety of the biological characteristic identification.
Further, the above-mentioned biometrics includes: one or more of facial features and iris features.
Further, the biometric features include facial features, as shown in fig. 2, before the step S104, the method may further include the following processing procedures of steps S108 to S110, and specifically, the following specific processing procedures of steps S108 to S110 may be referred to.
In step S108, credential image data of the user to be identified uploaded by the terminal device is received.
The document image data may be document image data including a face image of a user to be recognized, and the document image data may be resident identification card image data, resident social security card image data, military officer document image data, or the like, for example, and the document image data is not particularly limited by the embodiment of the present specification.
In some optional implementation manners, after the terminal device collects the biometric video data, or before the terminal device collects the biometric video data, after a biometric identification key triggered by a user is received, a camera component of the terminal device may be called to shoot the certificate image to obtain the certificate image data, and the certificate image data is uploaded to the server, so that the server may receive the certificate image data of the user to be identified, which is uploaded by the terminal device.
In step S110, it is determined whether or not the facial feature image contained in the document image data of the user to be identified matches the facial feature image contained in the biometrics video information.
In some optional implementation manners, a preset image matching algorithm may be used to match the facial feature image included in the certificate image data of the user to be identified and the facial feature image information included in the biometric video information, and determine whether the facial feature image included in the certificate image data of the user to be identified matches the facial feature image information included in the biometric video information.
The processing method of step S104 may be various, and an alternative processing method is provided below, which may be specifically referred to as the specific processing procedure of step S1042 below.
And if the facial feature image contained in the certificate image data of the user to be identified is matched with the facial feature image contained in the biological feature video information, judging whether the interactive data is matched with the preset prompt information or not based on the biological feature video information, the human-computer interaction information and the preset prompt information.
In some optional implementation manners, if it is determined through the above process that the facial feature image included in the certificate image data of the user to be identified does not match the facial feature image information included in the biometric video information, it may be determined that the user to be identified is an illegal user, and a result of biometric identification failure may be sent to the terminal device. If the face characteristic image contained in the certificate image data of the user to be identified is judged to be matched with the face characteristic image information contained in the biological characteristic video information through the process, the user to be identified can be confirmed to be the certificate holder, and whether the interactive data is matched with the preset prompt information or not can be judged based on the biological characteristic video information, the human-computer interaction information and the preset prompt information.
Further, as shown in fig. 3, the processing method of step S106 may be various, and an alternative processing method is provided below, which may specifically refer to the specific processing procedure of step S1062-step S1064.
In step S1062, if the interactive data matches the preset prompting information, it is determined whether a feature point corresponding to a preset facial feature in the biometric video information changes within a preset time period.
The preset biological characteristics can be one or more of eye characteristics, lip characteristics and cheeks, and the eye characteristics can include eyeball characteristics. The feature point may be a point constituting the preset biometric feature in an image frame corresponding to a preset time.
In some optional implementation manners, taking the preset biological features as an eyelid and an eyeball as an example, a preset number of image frames may be taken from the biological feature video information acquired within a preset time period, and whether there is a difference between feature points corresponding to any two image frames and constituting the eyeball feature is determined, that is, whether there is a rhythm in the eyeball feature within the preset time period is determined. Taking the preset biological feature as the cheek as an example, any preset number of image frames may be taken from the biological feature video information acquired in a preset time period, and whether there is a difference between feature points corresponding to any two image frames and constituting the cheek feature is determined, that is, whether there is stretching of the cheek feature in the preset time period is determined.
In step S1064, biometric feature recognition processing is performed on the user according to a situation that the feature point corresponding to the preset facial feature changes within a preset time period.
In some optional implementations, as an example of the step S1064, if the feature point corresponding to the preset biometric feature changes within the preset time period, it may be determined that the biometric feature is a living feature, and the biometric feature identification process is not subject to common attacks such as copying, printing, or masking. Thus, through the above processing procedure, common attacks such as copying, printing or masks can be effectively avoided, thereby further providing the security of the above biometric identification process.
In some alternative implementations, the above processes of step S1062 and step S1064 may be implemented by a pre-trained model, namely, the biological characteristic video information including the biological characteristic video information of the preset time period or the biological characteristic video information can be input into a silence living body detection model trained in advance, so as to perform silence and live body detection on the biological characteristic video information to judge whether the characteristic points corresponding to the preset facial characteristics in the biological characteristic video information change in a preset time period, if the feature point corresponding to the preset biological feature changes in a preset time period, the biological feature video information is determined to pass the silent live body detection, at this time, the biometric identification processing may be continued in another manner, or it may be directly determined that the biometric identification is passed this time.
Further, as shown in fig. 4, before the step S102, the method may further include the following processing procedure from step S002 to step S004, and specific reference may be made to the following specific processing procedure from step S002 to step S004.
In step S002, the biometric identification request transmitted by the terminal device is received.
In an optional implementation manner, when a user needs to perform biometric identification in a process of starting an application running in a terminal device, the user may trigger a biometric identification key displayed by the terminal device, so that the terminal device may send a biometric identification request to the server after receiving the biometric identification key triggered by the user, and the server may receive the biometric identification request sent by the terminal device.
In step S004, a preset prompting instruction is sent to the terminal device, so that the terminal device generates preset prompting information based on the preset prompting instruction, and prompts based on the preset prompting information.
The preset prompting instruction may be used for enabling the terminal device to generate preset prompting information based on the preset prompting instruction. As an example, the preset prompting information may include a preset touch operation performed based on a touch interaction interface displayed by the terminal device during the biometric feature recognition, where the preset touch operation may include a preset contact touch operation and/or a preset non-contact touch operation, and the preset contact touch operation includes: and one or more of preset touch operation, preset pressing operation, preset sliding operation and preset gesture drawing operation. The preset non-contact touch operation may include: the specific content of the preset prompt information is not specifically limited in the embodiment of the present specification.
Further, a preset touch key may be displayed in the touch interactive interface during the biometric identification, and the preset prompt information may include touching the preset touch key at a preset time.
In some optional implementation manners, a preset touch key may be displayed in the touch interactive interface during the biometric identification, or the preset touch key and time information may be displayed. For example, the current time is 15 o 'clock 30 min 00 sec, and the preset time may be 15 o' clock 30 min 05 sec. The preset prompting message may include that the preset touch key is touched at 15 points and 30 minutes and 05 seconds in the biometric identification process.
The specific processing method of step S104 may be various, and an alternative processing method is provided below, which may be specifically referred to as the specific processing procedure of step P2 below.
In step P2, it is determined whether there is interactive data at a preset time during the biometric identification process, where the interactive data includes pressing a preset touch button. Further, in the biometric identification process, biometric video information of the user to be identified may be displayed in the touch interface, and the preset prompt information may include pressing the preset biometric information at a preset time.
The preset biometric information may include at least one piece of biometric information in facial feature information displayed on a touch interactive interface of the terminal device. As an example, the preset biometric information may include one or more of left-eye feature information, right-eye feature information, nose feature information, mouth feature information, left-ear feature information, and left-eyebrow feature information. The embodiment of the present specification does not specifically limit the type of the preset biometric information.
The specific processing method of step S104 may be various, and an alternative processing method is provided below, which may be specifically referred to as the specific processing procedure of step a2 below.
In step a2, it is determined whether there is interactive data at a preset time during the biometric identification process, where the interactive data includes pressing preset biometric information.
When the preset biometric information includes a plurality of pieces of biometric information, the preset touch operation may include touching the preset touch key according to a preset touch sequence at a preset time in the biometric identification process.
The specific processing method of step S104 may be various, and an alternative processing method is provided below, which may be specifically referred to as the specific processing procedure of step B2 below.
In step B2, it is determined whether there is interactive data at a preset time during the biometric identification process, and whether a touch sequence of the touch preset biometric information included in the interactive data is consistent with a preset touch sequence.
In an optional implementation manner, the preset biometric information includes left-eye feature information and mouth feature information, and the preset touch sequence includes executing touch left-eye feature information first and then executing touch mouth feature information. In this way, the server may determine whether there is interactive data at a preset time in the biometric identification process, and whether a touch sequence of the touch preset biometric information included in the interactive data is consistent with a preset touch sequence (first executing the touch left-eye feature information, and then executing the touch mouth feature information).
Further, the preset prompting message may include that the pressing time for pressing the preset biometric information at the preset time reaches a preset pressing time, or that the pressing pressure for pressing the biometric information reaches a preset pressing pressure.
The specific processing method of step S104 may be various, and an alternative processing method is provided below, which may be specifically referred to as the specific processing procedure of step C2 below.
In step C2, it is determined whether the pressing time period for pressing the preset biometric information reaches the preset pressing time period or whether the pressing pressure for pressing the preset biometric information reaches the preset pressing pressure.
As can be seen from the technical solutions provided in the embodiments of the present specification, the biometric video data acquired during the biometric identification process uploaded by the terminal device is received, wherein the biometric video data includes biometric video information and human-computer interaction information, then, based on the biometric video information, the human-computer interaction information and the preset prompting information, whether the interaction data matches the preset prompting information is determined, and then, the biometric identification process is performed on the user based on the matching result of the interaction data and the preset prompting information, because the biometric video data acquired during the biometric identification process on the user includes the human-computer interaction data, the risk of video injection attack during the biometric identification process can be effectively avoided by performing the identification process on the acquired human-computer interaction data, thereby effectively improving the safety of the biological characteristic identification.
As shown in fig. 5A, an implementation subject of the method may be a terminal device, where the terminal device may be a device such as a personal computer, or may also be a mobile terminal device such as a mobile phone and a tablet computer, and the terminal device may be a terminal device used by a user. The terminal equipment can be provided with a shooting application program, can shoot biological characteristic video information, receives interactive operation of a user to be identified in the biological characteristic identification process based on a preset prompt message touch interactive interface, and generates human-computer interactive information based on the interactive operation. The method may specifically comprise the steps of:
in step S202, when the biometric identification request is received, the touch interactive interface is displayed, and the biometric video information is collected.
In some optional implementations, a component for performing biometric identification and a camera component for acquiring biometric video information are installed in the terminal device of the user. If the user needs to perform biological feature identification when entering a certain application program, the user can trigger a biological feature identification key displayed by the terminal equipment, so that the terminal equipment can receive a biological feature identification request after receiving the biological feature identification key triggered by the user, display a touch interactive interface, start a camera shooting assembly and acquire the biological feature video information through the camera shooting assembly.
In step S204, receiving an interactive operation performed by the user to be identified in the process of performing biometric feature identification based on the preset prompt information and touching the touch interactive interface, and generating human-computer interaction information based on the interactive operation.
In step S206, biometric video data is generated based on the biometric video information and the human-computer interaction information.
In step S208, the biometric video data is transmitted to the server, so that the server performs biometric recognition processing on the user to be recognized.
According to the technical scheme provided by the embodiment of the specification, when a biological feature identification request is received, a touch interactive interface is displayed, biological feature video information is shot, then, interactive operation performed by a user to be identified in the process of biological feature identification through the touch interactive interface based on preset prompt information is received, man-machine interaction information is generated based on the interactive operation, then, biological feature video data are generated based on the biological feature video information and the man-machine interaction information, and the biological feature video data are sent to a server, so that the server performs biological feature identification processing on the user to be identified. As the biological characteristic video data acquired in the biological characteristic identification processing process of the user comprises the human-computer interaction data, the risk of video injection attack in the biological characteristic identification process can be effectively avoided by identifying the acquired human-computer interaction data, and the safety of biological characteristic identification is further effectively improved.
Further, as shown in fig. 6, after the step S202, the method may further include the following processing procedures from the step S210 to the step S214, and specifically, refer to the following specific processing procedures from the step S210 to the step S214.
In step S210, a biometric request is sent to the server.
The above processing procedure can be specifically referred to the specific processing procedure of the above step S002.
In step S212, a preset prompting instruction transmitted by the server based on the biometric identification request is received.
The specific processing procedure of the above step S212 may be referred to the specific processing procedure of the above step S004.
In step S214, preset prompting information is generated based on the preset prompting instruction, and prompting is performed based on the preset prompting information.
As an example, if the preset prompting information is to perform touch control on a preset touch key displayed in the touch interactive interface at a preset time, the performing of the prompting based on the preset prompting information may include displaying text information, which is to perform touch control on the preset touch key displayed in the touch interactive interface at the preset time, in the touch interactive interface. Alternatively, the prompting based on the preset prompting information may include displaying text information for touching a preset touch key displayed in the touch interactive interface at the preset time. Or, the prompting based on the preset prompting information may include performing voice prompting in a voice broadcast manner at the preset time, where the voice prompting content may be to perform touch control on a preset touch key displayed in the touch control interactive interface.
Further, the preset prompting instruction may include a preset prompting time and a preset prompting content.
The processing procedure of step S214 may be varied, and an alternative processing method is provided below, which can be specifically referred to as the specific processing procedure of step D2 below.
In step D2, a preset prompting message is generated based on the preset prompting content, and the preset prompting message is prompted at a preset prompting time.
Further, the preset prompt information includes that a touch operation is preset based on a touch interaction interface displayed by the terminal device in the biometric feature recognition process, the preset touch operation includes a preset contact touch operation and/or a preset non-contact touch operation, and the preset contact touch operation includes: and one or more of preset touch operation, preset pressing operation, preset sliding operation and preset gesture drawing operation.
Further, a preset touch key may be displayed in the touch interactive interface, and the preset prompt information may include touching the preset touch key at a preset time.
The specific processing method of step S214 may be various, and an alternative processing method is provided below, which may be specifically referred to as the specific processing procedure of step E2 below.
In step E2, preset prompt information is displayed on the touch interactive interface, so that the user to be identified touches the preset touch key information at a preset time in the biometric identification process.
Further, the preset touch key includes preset biometric information, and the preset prompt information includes pressing the preset biometric information at a preset time.
The specific processing method of step S214 may be various, and an alternative processing method is provided below, which may be specifically referred to as the specific processing procedure of step F2 below.
In step F2, displaying a preset prompting message on the touch interactive interface, so that the user to be recognized presses the preset biometric information at a preset time in the biometric identification process.
Further, the method may further include the following specific processing procedure of step M2.
In step M2, displaying preset image information on the preset biometric information displayed on the touch interactive interface, where the preset image information includes a button, and the preset prompt information includes pressing the preset image information at a preset time.
In an alternative implementation manner, the preset image information may be, for example, a color key or the like displayed on the preset biometric information, such as a red key or the like. Within the time range of 20 seconds or 30 seconds of the biometric acquisition, at a predetermined time, such as 5 seconds, 15 seconds, or 20 seconds, a preset image information may be displayed on the touch interactive interface of the terminal device, and the preset image information is a red button, for example, the red button information may be displayed on the surface of the preset biometric information, for example, a red button may be displayed on the left eye at the predetermined time of 5 seconds, a red button may be displayed on the nose at the predetermined time of 15 seconds, and a red button may be displayed on the mouth at the predetermined time of 20 seconds. Meanwhile, a prompt message of pressing the red button may be displayed on the red button.
The preset time may be random, and for example, the preset time may be 3 seconds, 10 seconds, 15 seconds, 30 seconds, or the like, and the number of the preset times and the specific time represented by the preset time are not particularly limited in the embodiments of the present specification.
The specific processing method of step S214 may be various, and an alternative processing method is provided below, which may be specifically referred to as the specific processing procedure of step L2 below.
In step L2, displaying a preset prompting message on the touch interactive interface, so that the user to be identified presses the preset image information at a preset time. Further, preset image information is displayed on preset biological characteristic information displayed on the touch interactive interface, the preset image information may include preset state information, the preset state information includes first preset state information and preset target state information, the preset prompt information may include state information obtained by pressing the preset image information in a biological characteristic recognition process until the preset image information is converted from the first preset state information into the preset target state information, wherein the preset target state information may correspond to a preset pressing duration or a preset pressing pressure, and the preset state information may include one or more of preset color state information, preset shape state information and preset image dimension state information.
The specific processing method of step S214 may be various, and an alternative processing method is provided below, which may be specifically referred to the following specific processing procedures from step K2 to step K4.
In step K2, displaying a preset prompt message on the touch interactive interface.
In step K4, it is detected whether the user to be recognized presses the preset image information at a preset time until the state information of the preset image information is changed from the first preset state information to the preset target state information.
As an example, taking the preset state information as preset color state information and the preset target state information corresponding to the preset pressing pressure as an example, color information corresponding to the preset target pressing pressure may be preset, for example, red represents no touch, blue represents small pressing pressure, yellow represents moderate pressing pressure, and black represents large pressing pressure. The first preset state information may be red key information, and the preset prompt information may include that the preset image information is pressed in the biometric identification process until the state information of the preset image information is changed from the red state information to preset target state information, and the target state information may include blue state information, yellow state information, black state information, or the like. The examples in this specification do not specifically limit the types of the colors.
According to the technical scheme provided by the embodiment of the specification, when a biological feature identification request is received, the touch interactive interface is displayed, biological feature video information is collected, then, interactive operation performed by a user to be identified in the process of biological feature identification on the touch interactive interface based on preset prompt information is received, man-machine interaction information is generated based on the interactive operation, then, biological feature video data are generated based on the biological feature video information and the man-machine interaction information, and the biological feature video data are sent to the server, so that the server performs biological feature identification processing on the user to be identified. As the biological characteristic video data acquired in the biological characteristic identification processing process of the user comprises the human-computer interaction data, the risk of video injection attack in the biological characteristic identification process can be effectively avoided by identifying the acquired human-computer interaction data, and the safety of biological characteristic identification is further effectively improved.
On the basis of the same technical concept, the embodiment of the present specification further provides a biometric identification apparatus corresponding to the biometric identification method provided in the foregoing embodiment, and fig. 7 is a schematic diagram illustrating module components of the biometric identification apparatus provided in the embodiment of the present specification, the biometric identification apparatus is configured to perform the biometric identification method described in fig. 1-4, and as shown in fig. 7, the apparatus includes:
the first receiving module 701 is used for receiving biological characteristic video data which are uploaded by a terminal device and acquired in a biological characteristic identification process, wherein the biological characteristic video data comprise biological characteristic video information and human-computer interaction information, the human-computer interaction information comprises interaction data which are generated by interaction operation of a user with a touch interaction interface displayed by the terminal device based on preset prompt information in the biological characteristic identification process, and the preset prompt information is used for indicating the user to be identified to execute the preset touch interaction operation;
a first judgment module 702, which judges whether the interactive data matches with the preset prompt information based on the biological characteristic video information, the human-computer interaction information and the preset prompt information;
the recognition module 703 performs biometric recognition processing on the user based on the matching result of the interactive data and the preset prompt information.
Optionally, the biometric features include: one or more of facial features and iris features.
Optionally, the biometric feature comprises a facial feature, and the apparatus further comprises:
the second receiving module is used for receiving certificate image data of the user to be identified, which are uploaded by the terminal equipment;
the second judgment module is used for judging whether the facial feature image contained in the certificate image data of the user to be identified is matched with the facial feature image contained in the biological feature video information;
and the first judgment module is used for judging whether the interactive data is matched with the preset prompt information or not based on the biological characteristic video information, the human-computer interaction information and the preset prompt information if the facial characteristic image contained in the certificate image data of the user to be identified is matched with the facial characteristic image contained in the biological characteristic video information. Optionally, the identification module includes:
the judging unit is used for judging whether the feature points corresponding to the preset facial features in the biological feature video information change within a preset time period or not if the interactive data are matched with the preset prompt information;
and the identification unit is used for carrying out biological feature identification processing on the user according to the condition that the feature points corresponding to the preset facial features change in a preset time period.
Optionally, the apparatus further comprises:
the third receiving module is used for receiving a biological characteristic identification request sent by the terminal equipment;
the first sending module sends a preset prompt instruction to the terminal device, so that the terminal device generates preset prompt information based on the preset prompt instruction and prompts based on the preset prompt information.
Optionally, the step of presetting the prompt information includes presetting touch operation based on a touch interaction interface displayed by the terminal device in the biometric feature recognition process, the presetting touch operation includes presetting contact touch operation and/or presetting non-contact touch operation, and the presetting contact touch operation includes: and one or more of preset touch operation, preset pressing operation, preset sliding operation and preset gesture drawing operation.
Optionally, a preset touch key is displayed in the touch interactive interface during the biometric feature recognition, and the preset prompt information includes that the preset touch key is touched at a preset moment;
the first judgment module judges whether interactive data exist at a preset moment in the process of carrying out biological feature recognition, and the interactive data comprise the preset touch key.
Optionally, displaying the biological characteristic video information of the user to be identified in the touch interactive interface in the biological characteristic identification process, wherein the preset prompt information comprises the preset biological characteristic information pressed at a preset moment;
the first judgment module judges whether interactive data exist at a preset moment in the biological feature recognition process, and the interactive data comprise preset biological feature information.
Optionally, the preset prompting information includes that the pressing time for pressing the preset biological characteristic information at a preset time reaches a preset pressing time, or the pressing pressure for pressing the biological characteristic information reaches a preset pressing pressure;
the first judging module judges whether the pressing time for pressing the preset biological characteristic information reaches the preset pressing time or not, or whether the pressing pressure for pressing the preset biological characteristic information reaches the preset pressing pressure or not.
As can be seen from the technical solutions provided in the embodiments of the present specification, the biometric video data acquired during the biometric identification process uploaded by the terminal device is received, wherein the biometric video data includes biometric video information and human-computer interaction information, then, based on the biometric video information, the human-computer interaction information and the preset prompting information, whether the interaction data matches the preset prompting information is determined, and then, the biometric identification process is performed on the user based on the matching result of the interaction data and the preset prompting information, because the biometric video data acquired during the biometric identification process on the user includes the human-computer interaction data, the risk of video injection attack during the biometric identification process can be effectively avoided by performing the identification process on the acquired human-computer interaction data, thereby effectively improving the safety of the biological characteristic identification.
The biometric identification device provided in the embodiments of the present specification can implement each process in the embodiments corresponding to the biometric identification method, and is not described herein again to avoid repetition.
It should be noted that the biometric identification apparatus provided in the embodiment of the present disclosure and the biometric identification method provided in the embodiment of the present disclosure are based on the same inventive concept, and therefore, for specific implementation of the embodiment, reference may be made to implementation of the biometric identification method described above, and repeated details are not described again.
On the basis of the same technical concept, the embodiment of the present specification further provides a biometric identification apparatus, and fig. 8 is a schematic block diagram of the biometric identification apparatus provided in the embodiment of the present specification, the biometric identification apparatus is used for performing the biometric identification method described in fig. 5-6, and as shown in fig. 8, the apparatus includes:
the first processing module 801 displays a touch interactive interface and collects biological characteristic video information when receiving a biological characteristic identification request;
the fourth receiving module 802 receives an interactive operation performed by a user to be identified in a process of performing biometric feature identification based on a touch interactive interface touched by preset prompt information, and generates human-computer interaction information based on the interactive operation;
a generating module 803, which generates the biological characteristic video data based on the biological characteristic video information and the human-computer interaction information;
the second sending module 804 sends the biometric video data to the server, so that the server performs biometric identification processing on the user to be identified.
Optionally, the apparatus further comprises:
the third sending module sends a biological characteristic identification request to the server;
the fifth receiving module is used for receiving a preset prompt instruction sent by the server based on the biological characteristic identification request;
and the second processing module generates preset prompt information based on the preset prompt instruction and prompts based on the preset prompt information.
Optionally, the preset prompting instruction includes a preset prompting time and preset prompting content;
the second processing module generates preset prompt information based on the preset prompt content and prompts the preset prompt information at the preset prompt moment.
Optionally, preset image information is displayed on preset biological characteristic information displayed on the touch interactive interface, the preset image information includes preset state information, the preset state information includes first preset state information and preset target state information, the preset prompt information includes that the preset image information is pressed at a preset moment until the state information of the preset image information is converted from the first preset state information into the preset target state information, wherein the preset target state information corresponds to a preset pressing time or a preset pressing pressure, and the preset state information includes one or more of preset color state information, preset shape state information and preset image dimension state information;
the second processing module includes:
the display unit displays preset prompt information on the touch interactive interface;
the detection unit is used for detecting whether the user to be identified presses the preset image information at the preset moment until the state information of the preset image information is converted from the first preset state information into preset target state information.
According to the technical scheme provided by the embodiment of the specification, when a biological feature identification request is received, the touch interactive interface is displayed, biological feature video information is collected, then, interactive operation performed by a user to be identified in the process of biological feature identification on the touch interactive interface based on preset prompt information is received, man-machine interaction information is generated based on the interactive operation, then, biological feature video data are generated based on the biological feature video information and the man-machine interaction information, and the biological feature video data are sent to the server, so that the server performs biological feature identification processing on the user to be identified. As the biological characteristic video data acquired in the biological characteristic identification processing process of the user comprises the human-computer interaction data, the risk of video injection attack in the biological characteristic identification process can be effectively avoided by identifying the acquired human-computer interaction data, and the safety of biological characteristic identification is further effectively improved.
The biometric identification device provided in the embodiments of the present specification can implement each process in the embodiments corresponding to the biometric identification method, and is not described herein again to avoid repetition.
It should be noted that the biometric identification apparatus provided in the embodiment of the present disclosure and the biometric identification method provided in the embodiment of the present disclosure are based on the same inventive concept, and therefore, for specific implementation of the embodiment, reference may be made to implementation of the biometric identification method described above, and repeated details are not described again.
On the basis of the same technical concept, the embodiment of the present specification further provides a biometric identification device, as shown in fig. 9, corresponding to the biometric identification method provided in the foregoing embodiment. Fig. 9 is a schematic diagram of a hardware structure of a biometric identification device provided in an embodiment of the present disclosure, where the biometric identification device is used to perform the biometric identification methods described in fig. 1 to 4 or fig. 5 to 6.
Biometric identification devices may vary significantly depending on configuration or performance, and may include one or more processors 901 and memory 902, where the memory 902 may store one or more stored applications or data. Memory 902 may be, among other things, transient storage or persistent storage. The application program stored in memory 902 may include one or more modules (not shown), each of which may include a series of computer-executable instructions in a distribution facility for tasks. Still further, the processor 901 may be configured to communicate with the memory 902 to execute a series of computer-executable instructions in the memory 902 on the data access device. The data access apparatus may also include one or more power supplies 903, one or more wired or wireless network interfaces 904, one or more input-output interfaces 905, one or more keyboards 906.
In particular, in this embodiment, the biometric identification device includes a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs may include one or more modules, and each module may include a series of computer-executable instructions in the assignment device for the task, and the one or more programs configured to be executed by the one or more processors include computer-executable instructions for:
receiving biological characteristic video data which are uploaded by a terminal device and acquired in a biological characteristic identification process, wherein the biological characteristic video data comprise biological characteristic video information and human-computer interaction information, the human-computer interaction information comprises interaction data generated by interaction operation of a user on the basis of preset prompt information and a touch interaction interface displayed by the terminal device in the biological characteristic identification process, and the preset prompt information is used for indicating the user to be identified to execute preset touch interaction operation;
judging whether the interactive data is matched with preset prompt information or not based on the biological characteristic video information, the human-computer interaction information and the preset prompt information;
and carrying out biological feature recognition processing on the user based on the matching result of the interactive data and the preset prompt information.
Alternatively, computer-executable instructions for:
when a biological characteristic identification request is received, displaying a touch interactive interface and collecting biological characteristic video information;
receiving interactive operation of a user to be identified in a biological feature identification process based on preset prompt information touch control interactive interface, and generating human-computer interaction information based on the interactive operation;
generating biological characteristic video data based on the biological characteristic video information and the man-machine interaction information;
and sending the biological characteristic video data to a server so that the server performs biological characteristic identification processing on the user to be identified.
As can be seen from the technical solutions provided in the embodiments of the present specification, the biometric video data acquired during the biometric identification process uploaded by the terminal device is received, wherein the biometric video data includes biometric video information and human-computer interaction information, then, based on the biometric video information, the human-computer interaction information and the preset prompting information, whether the interaction data matches the preset prompting information is determined, and then, the biometric identification process is performed on the user based on the matching result of the interaction data and the preset prompting information, because the biometric video data acquired during the biometric identification process on the user includes the human-computer interaction data, the risk of video injection attack during the biometric identification process can be effectively avoided by performing the identification process on the acquired human-computer interaction data, thereby effectively improving the safety of the biological characteristic identification.
Further, corresponding to the biometric feature recognition method provided in the foregoing embodiment, an embodiment of the present specification further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by the processor 901, the steps of the foregoing embodiment of the method for processing a privacy image are implemented, and the same technical effects can be achieved, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that the biometric identification device and the computer-readable storage medium provided in the embodiments of the present specification can implement the processes in the foregoing biometric identification method embodiments, and are not described herein again to avoid repetition.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It is to be understood that the embodiments described in this specification can be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the Processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units configured to perform the functions described herein, or a combination thereof.
For software implementation, the techniques described above in this specification can be implemented by modules (e.g., procedures, functions, and so on) that perform the functions described above in this specification. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
It should also be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the same element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present specification may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the methods described in the embodiments of the present specification.
While the embodiments of the present disclosure have been described with reference to the accompanying drawings, the present disclosure is not limited to the above-described embodiments, which are intended to be illustrative rather than limiting, and that various modifications and changes may be made by those skilled in the art without departing from the spirit of the disclosure and the scope of the appended claims. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present specification should be included in the scope of the claims of the present specification.
Claims (17)
1. A method of biometric identification, the method comprising:
receiving biological characteristic video data which are uploaded by a terminal device and acquired in a biological characteristic identification process, wherein the biological characteristic video data comprise biological characteristic video information and human-computer interaction information, the human-computer interaction information comprises interaction data generated by a user performing interaction operation with a touch interaction interface displayed by the terminal device based on preset prompt information in the biological characteristic identification process, and the preset prompt information is used for indicating the user to be identified to execute preset touch interaction operation;
judging whether the interactive data is matched with the preset prompt information or not based on the biological characteristic video information, the human-computer interaction information and the preset prompt information;
and carrying out biological feature recognition processing on the user based on the matching result of the interactive data and the preset prompt information.
2. The method of claim 1, the biometric features comprising: one or more of facial features and iris features.
3. The method of claim 2, wherein the biometric features include facial features, and before the determining whether the interaction data matches the preset prompt information based on the biometric video information, the human-computer interaction information, and the preset prompt information, the method further comprises:
receiving certificate image data of a user to be identified, which are uploaded by terminal equipment;
judging whether the facial feature image contained in the certificate image data of the user to be identified is matched with the facial feature image contained in the biological feature video information;
the judging whether the interactive data is matched with the preset prompt information or not based on the biological characteristic video information, the human-computer interaction information and the preset prompt information comprises the following steps:
and if the facial feature image contained in the certificate image data of the user to be identified is matched with the facial feature image contained in the biological feature video information, judging whether the interactive data is matched with the preset prompt information or not based on the biological feature video information, the human-computer interaction information and the preset prompt information.
4. The method of claim 3, wherein the performing biometric recognition processing on the user based on the matching result of the interaction data and the preset prompting information comprises:
if the interactive data is matched with the preset prompt information, judging whether a feature point corresponding to a preset facial feature in the biological feature video information changes within a preset time period;
and carrying out biological feature recognition processing on the user according to the condition that the feature points corresponding to the preset facial features change in a preset time period.
5. The method according to claim 1, wherein the preset prompting information includes a preset touch operation performed based on a touch interaction interface displayed by the terminal device in the biometric feature recognition process, the preset touch operation includes a preset contact touch operation and/or a preset non-contact touch operation, and the preset contact touch operation includes: and one or more of preset touch operation, preset pressing operation, preset sliding operation and preset gesture drawing operation.
6. The method according to claim 5, wherein in the process of biometric identification, biometric video information of a user to be identified is displayed in the touch interactive interface, and the preset prompt information comprises preset biometric information pressed at the preset moment;
the judging whether the interactive data is matched with the preset prompt information includes:
and judging whether interactive data exist at a preset moment in the process of carrying out biological feature recognition, wherein the interactive data comprise preset biological feature information.
7. The method according to claim 6, wherein the preset prompt message comprises that the pressing time for pressing the preset biological feature information at the preset time reaches a preset pressing time, or the pressing pressure for pressing the biological feature information reaches a preset pressing pressure;
the judging whether the interactive data is matched with the preset prompt information includes:
and judging whether the pressing time for pressing the preset biological characteristic information reaches the preset pressing time or not, or judging whether the pressing pressure for pressing the preset biological characteristic information reaches the preset pressing pressure or not.
8. A biometric identification method, the method comprising:
when a biological characteristic identification request is received, displaying a touch interactive interface and collecting biological characteristic video information;
receiving interactive operation of a user to be identified in the process of biological feature identification based on preset prompt information touch control of the touch control interactive interface, and generating human-computer interaction information based on the interactive operation;
generating biological characteristic video data based on the biological characteristic video information and the human-computer interaction information;
and sending the biological characteristic video data to a server so that the server carries out biological characteristic identification processing on the user to be identified.
9. The method of claim 8, after displaying the touch interactive interface, the method further comprising:
sending a biometric identification request to a server;
receiving a preset prompt instruction sent by the server based on the biological characteristic identification request;
and generating preset prompt information based on the preset prompt instruction, and prompting based on the preset prompt information.
10. The method of claim 9, wherein the preset prompting instruction comprises a preset prompting time and preset prompting content;
the generating of the preset prompt information based on the preset prompt instruction and the prompting based on the preset prompt information include:
and generating preset prompting information based on the preset prompting content, and prompting the preset prompting information at the preset prompting time.
11. The method according to claim 9, displaying preset image information on preset biometric information displayed on the touch interactive interface, wherein the preset image information includes preset state information, the preset state information includes first preset state information and preset target state information, the preset prompt information includes pressing the preset image information at the preset time until the state information of the preset image information is converted from the first preset state information into preset target state information, wherein the preset target state information corresponds to the preset pressing time or the preset pressing pressure, and the preset state information includes one or more of preset color state information, preset shape state information and preset image dimension state information;
the prompting based on the preset prompting information comprises the following steps:
displaying the preset prompt information on the touch interactive interface;
and detecting whether the user to be identified presses the preset image information at the preset moment until the state information of the preset image information is converted from the first preset state information into preset target state information.
12. An apparatus for biometric identification, the apparatus comprising:
the system comprises a first receiving module, a second receiving module and a third receiving module, wherein the first receiving module is used for receiving biological characteristic video data which are uploaded by a terminal device and acquired in a biological characteristic identification process, the biological characteristic video data comprise biological characteristic video information and human-computer interaction information, the human-computer interaction information comprises interaction data which are generated by interaction operation of a user with a touch interaction interface displayed by the terminal device based on preset prompt information in the biological characteristic identification process, and the preset prompt information is used for indicating the user to be identified to execute the preset touch interaction operation;
the first judgment module is used for judging whether the interactive data is matched with the preset prompt information or not based on the biological characteristic video information, the human-computer interaction information and the preset prompt information;
and the identification module is used for carrying out biological feature identification processing on the user based on the matching result of the interactive data and the preset prompt information.
13. A biometric identification device, the device comprising:
the first processing module is used for displaying a touch interactive interface and acquiring biological characteristic video information when receiving a biological characteristic identification request;
the fourth receiving module is used for receiving human-computer interaction information generated in the process of carrying out interactive operation on the touch interaction interface by touching the touch interaction interface based on preset prompt information in the process of carrying out biological feature identification on a user to be identified;
the generating module is used for generating biological characteristic video data based on the biological characteristic video information and the human-computer interaction information;
and the second sending module is used for sending the biological characteristic video data to a server so as to enable the server to carry out biological characteristic identification processing on the user to be identified.
14. An apparatus for biometric identification, the apparatus comprising:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to:
receiving biological characteristic video data which are uploaded by a terminal device and acquired in a biological characteristic identification process, wherein the biological characteristic video data comprise biological characteristic video information and human-computer interaction information, the human-computer interaction information comprises interaction data generated by a user performing interaction operation with a touch interaction interface displayed by the terminal device based on preset prompt information in the biological characteristic identification process, and the preset prompt information is used for indicating the user to be identified to execute preset touch interaction operation;
judging whether the interactive data is matched with the preset prompt information or not based on the biological characteristic video information, the human-computer interaction information and the preset prompt information;
and carrying out biological feature recognition processing on the user based on the matching result of the interactive data and the preset prompt information.
15. An apparatus for biometric identification, the apparatus comprising:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to:
when a biological characteristic identification request is received, displaying a touch interactive interface and collecting biological characteristic video information;
receiving interactive operation of a user to be identified in the process of biological feature identification based on preset prompt information touch control of the touch control interactive interface, and generating human-computer interaction information based on the interactive operation;
generating biological characteristic video data based on the biological characteristic video information and the human-computer interaction information;
and sending the biological characteristic video data to a server so that the server carries out biological characteristic identification processing on the user to be identified.
16. A storage medium for storing computer-executable instructions, which when executed implement the following:
receiving biological characteristic video data which are uploaded by a terminal device and acquired in a biological characteristic identification process, wherein the biological characteristic video data comprise biological characteristic video information and human-computer interaction information, the human-computer interaction information comprises interaction data generated by a user performing interaction operation with a touch interaction interface displayed by the terminal device based on preset prompt information in the biological characteristic identification process, and the preset prompt information is used for indicating the user to be identified to execute preset touch interaction operation;
judging whether the interactive data is matched with the preset prompt information or not based on the biological characteristic video information, the human-computer interaction information and the preset prompt information;
and carrying out biological feature recognition processing on the user based on the matching result of the interactive data and the preset prompt information.
17. A storage medium for storing computer-executable instructions, which when executed implement the following:
when a biological characteristic identification request is received, displaying a touch interactive interface and collecting biological characteristic video information;
receiving interactive operation of a user to be identified in the process of biological feature identification based on preset prompt information touch control of the touch control interactive interface, and generating human-computer interaction information based on the interactive operation;
generating biological characteristic video data based on the biological characteristic video information and the human-computer interaction information;
and sending the biological characteristic video data to a server so that the server carries out biological characteristic identification processing on the user to be identified.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110590455.3A CN113255529A (en) | 2021-05-28 | 2021-05-28 | Biological feature identification method, device and equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110590455.3A CN113255529A (en) | 2021-05-28 | 2021-05-28 | Biological feature identification method, device and equipment |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113255529A true CN113255529A (en) | 2021-08-13 |
Family
ID=77185337
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110590455.3A Pending CN113255529A (en) | 2021-05-28 | 2021-05-28 | Biological feature identification method, device and equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113255529A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117687313A (en) * | 2023-12-29 | 2024-03-12 | 广东福临门世家智能家居有限公司 | Intelligent household equipment control method and system based on intelligent door lock |
Citations (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105184277A (en) * | 2015-09-29 | 2015-12-23 | 杨晴虹 | Living body human face recognition method and device |
CN105468950A (en) * | 2014-09-03 | 2016-04-06 | 阿里巴巴集团控股有限公司 | Identity authentication method and apparatus, terminal and server |
CN105516068A (en) * | 2014-09-26 | 2016-04-20 | 阿里巴巴集团控股有限公司 | Information interaction method, method and device for associating human body biological characteristic data with account number |
CN106022052A (en) * | 2016-05-26 | 2016-10-12 | 哈尔滨商业大学 | Man-machine interaction method and e-mail sending method for server |
CN106951219A (en) * | 2016-01-06 | 2017-07-14 | 阿里巴巴集团控股有限公司 | A kind of frame display methods and device |
CN107066983A (en) * | 2017-04-20 | 2017-08-18 | 腾讯科技(上海)有限公司 | A kind of auth method and device |
CN107194213A (en) * | 2016-03-14 | 2017-09-22 | 阿里巴巴集团控股有限公司 | A kind of personal identification method and device |
CN107451535A (en) * | 2017-07-11 | 2017-12-08 | 广东欧珀移动通信有限公司 | Living iris detection method and Related product |
CN107862194A (en) * | 2017-11-22 | 2018-03-30 | 维沃移动通信有限公司 | A kind of method, device and mobile terminal of safety verification |
CN108182409A (en) * | 2017-12-29 | 2018-06-19 | 北京智慧眼科技股份有限公司 | Biopsy method, device, equipment and storage medium |
CN109389028A (en) * | 2018-08-17 | 2019-02-26 | 深圳壹账通智能科技有限公司 | Face identification method, device, equipment and storage medium based on motion analysis |
CN109544384A (en) * | 2018-11-06 | 2019-03-29 | 平安科技(深圳)有限公司 | Subsidy distribution method, device, terminal, storage medium based on bio-identification |
CN109934191A (en) * | 2019-03-20 | 2019-06-25 | 北京字节跳动网络技术有限公司 | Information processing method and device |
CN110032924A (en) * | 2019-02-21 | 2019-07-19 | 百度在线网络技术(北京)有限公司 | Recognition of face biopsy method, terminal device, storage medium and electronic equipment |
CN110188523A (en) * | 2019-05-22 | 2019-08-30 | 维沃移动通信有限公司 | A kind of verification method and mobile terminal |
CN111259360A (en) * | 2020-02-14 | 2020-06-09 | 珠海格力电器股份有限公司 | Touch screen state control method and device of terminal equipment and terminal equipment |
CN111325175A (en) * | 2020-03-03 | 2020-06-23 | 北京三快在线科技有限公司 | Living body detection method, living body detection device, electronic apparatus, and storage medium |
CN111507165A (en) * | 2020-01-21 | 2020-08-07 | 北京明略软件系统有限公司 | Face recognition method and device, electronic equipment and computer readable storage medium |
CN111898529A (en) * | 2020-07-29 | 2020-11-06 | 北京字节跳动网络技术有限公司 | Face detection method and device, electronic equipment and computer readable medium |
CN112329727A (en) * | 2020-11-27 | 2021-02-05 | 四川长虹电器股份有限公司 | Living body detection method and device |
CN112580459A (en) * | 2020-12-07 | 2021-03-30 | 平安普惠企业管理有限公司 | Service processing method, device, computer equipment and medium based on biological recognition |
-
2021
- 2021-05-28 CN CN202110590455.3A patent/CN113255529A/en active Pending
Patent Citations (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105468950A (en) * | 2014-09-03 | 2016-04-06 | 阿里巴巴集团控股有限公司 | Identity authentication method and apparatus, terminal and server |
CN105516068A (en) * | 2014-09-26 | 2016-04-20 | 阿里巴巴集团控股有限公司 | Information interaction method, method and device for associating human body biological characteristic data with account number |
CN105184277A (en) * | 2015-09-29 | 2015-12-23 | 杨晴虹 | Living body human face recognition method and device |
CN106951219A (en) * | 2016-01-06 | 2017-07-14 | 阿里巴巴集团控股有限公司 | A kind of frame display methods and device |
CN107194213A (en) * | 2016-03-14 | 2017-09-22 | 阿里巴巴集团控股有限公司 | A kind of personal identification method and device |
CN106022052A (en) * | 2016-05-26 | 2016-10-12 | 哈尔滨商业大学 | Man-machine interaction method and e-mail sending method for server |
CN107066983A (en) * | 2017-04-20 | 2017-08-18 | 腾讯科技(上海)有限公司 | A kind of auth method and device |
CN107451535A (en) * | 2017-07-11 | 2017-12-08 | 广东欧珀移动通信有限公司 | Living iris detection method and Related product |
CN107862194A (en) * | 2017-11-22 | 2018-03-30 | 维沃移动通信有限公司 | A kind of method, device and mobile terminal of safety verification |
CN108182409A (en) * | 2017-12-29 | 2018-06-19 | 北京智慧眼科技股份有限公司 | Biopsy method, device, equipment and storage medium |
CN109389028A (en) * | 2018-08-17 | 2019-02-26 | 深圳壹账通智能科技有限公司 | Face identification method, device, equipment and storage medium based on motion analysis |
CN109544384A (en) * | 2018-11-06 | 2019-03-29 | 平安科技(深圳)有限公司 | Subsidy distribution method, device, terminal, storage medium based on bio-identification |
CN110032924A (en) * | 2019-02-21 | 2019-07-19 | 百度在线网络技术(北京)有限公司 | Recognition of face biopsy method, terminal device, storage medium and electronic equipment |
CN109934191A (en) * | 2019-03-20 | 2019-06-25 | 北京字节跳动网络技术有限公司 | Information processing method and device |
CN110188523A (en) * | 2019-05-22 | 2019-08-30 | 维沃移动通信有限公司 | A kind of verification method and mobile terminal |
CN111507165A (en) * | 2020-01-21 | 2020-08-07 | 北京明略软件系统有限公司 | Face recognition method and device, electronic equipment and computer readable storage medium |
CN111259360A (en) * | 2020-02-14 | 2020-06-09 | 珠海格力电器股份有限公司 | Touch screen state control method and device of terminal equipment and terminal equipment |
CN111325175A (en) * | 2020-03-03 | 2020-06-23 | 北京三快在线科技有限公司 | Living body detection method, living body detection device, electronic apparatus, and storage medium |
CN111898529A (en) * | 2020-07-29 | 2020-11-06 | 北京字节跳动网络技术有限公司 | Face detection method and device, electronic equipment and computer readable medium |
CN112329727A (en) * | 2020-11-27 | 2021-02-05 | 四川长虹电器股份有限公司 | Living body detection method and device |
CN112580459A (en) * | 2020-12-07 | 2021-03-30 | 平安普惠企业管理有限公司 | Service processing method, device, computer equipment and medium based on biological recognition |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117687313A (en) * | 2023-12-29 | 2024-03-12 | 广东福临门世家智能家居有限公司 | Intelligent household equipment control method and system based on intelligent door lock |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP7110413B2 (en) | Data update method and device, electronic device and storage medium | |
US20170308739A1 (en) | Human face recognition method and recognition system | |
US20190104340A1 (en) | Intelligent Terminal Control Method and Intelligent Terminal | |
US9547760B2 (en) | Method and system for authenticating user of a mobile device via hybrid biometics information | |
TWI578181B (en) | Electronic device, authenticating system and method | |
CN108804006B (en) | Unlocking method, device, equipment and storage medium for wearable equipment | |
US20150371081A1 (en) | Information processing method for electronic device with facial recognition function | |
CN102929660A (en) | Control method of mood theme of terminal device and terminal device | |
US9576135B1 (en) | Profiling user behavior through biometric identifiers | |
CN106888204B (en) | Implicit identity authentication method based on natural interaction | |
WO2019011072A1 (en) | Iris live detection method and related product | |
KR20120139100A (en) | Apparatus and method for security management using face recognition | |
CN104778416A (en) | Information hiding method and terminal | |
CN106599656A (en) | Display method, device and electronic equipment | |
CN109814964B (en) | Interface display method, terminal equipment and computer readable storage medium | |
CN105554226A (en) | Mode switching method and system, and terminal | |
CN112274909A (en) | Application operation control method and device, electronic equipment and storage medium | |
CN113255529A (en) | Biological feature identification method, device and equipment | |
CN105760088A (en) | Method and device for processing master control button operation | |
CN110969067B (en) | User registration and authentication method and device | |
CN106529243A (en) | Identity authentication method, device and terminal | |
CN111641751B (en) | Screen unlocking method and device of terminal equipment, terminal equipment and storage medium | |
US10095911B2 (en) | Methods, devices, and computer-readable mediums for verifying a fingerprint | |
CN111459262A (en) | Intelligent sound box, gesture processing method and device and electronic equipment | |
CN109660662B (en) | Information processing method and terminal |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210813 |