CN108804899B - Fingerprint data transmission method, device, terminal and storage medium - Google Patents
Fingerprint data transmission method, device, terminal and storage medium Download PDFInfo
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- CN108804899B CN108804899B CN201810528076.XA CN201810528076A CN108804899B CN 108804899 B CN108804899 B CN 108804899B CN 201810528076 A CN201810528076 A CN 201810528076A CN 108804899 B CN108804899 B CN 108804899B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
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- 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
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
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- 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
- G06V40/12—Fingerprints or palmprints
- G06V40/1347—Preprocessing; Feature extraction
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- 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
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
Abstract
The embodiment of the application provides a fingerprint data transmission method, a fingerprint data transmission device, a terminal and a storage medium. The method is applied to a processor of a terminal, and comprises the following steps: acquiring a fingerprint application scene, wherein the fingerprint application scene is a product function scene to be realized by fingerprint data acquired by a fingerprint acquisition assembly; acquiring transmission rate information matched with a fingerprint application scene, wherein the transmission rate information is used for indicating the transmission rate adopted when a fingerprint acquisition component sends fingerprint data to a processor; sending transmission rate information to a fingerprint acquisition component; and receiving the fingerprint data sent by the fingerprint acquisition component to the processor according to the transmission rate indicated by the transmission rate information. In the embodiment of the application, the transmission rate of the fingerprint data transmitted by the fingerprint acquisition assembly can be adaptively adjusted according to the fingerprint application scene, and the method is more flexible and controllable.
Description
Technical Field
The embodiment of the application relates to the technical field of fingerprint identification, in particular to a fingerprint data transmission method, a fingerprint data transmission device, a fingerprint data transmission terminal and a fingerprint data transmission storage medium.
Background
At present, fingerprint identification technology is widely applied. After the fingerprint sensor in the terminal collects the fingerprint data, the fingerprint data needs to be transmitted to the processor to complete the subsequent processing process.
In the related art, the fingerprint sensor includes a Serial Peripheral Interface (SPI), and when the fingerprint sensor collects fingerprint data, the collected fingerprint data is transmitted to the processor through the SPI, so as to complete a subsequent processing procedure, for example, to verify whether the collected fingerprint data matches with pre-stored fingerprint data.
Disclosure of Invention
The embodiment of the application provides a fingerprint data transmission method, a fingerprint data transmission device, a terminal and a storage medium. The technical scheme is as follows:
in one aspect, an embodiment of the present application provides a fingerprint data transmission method, which is applied to a processor of a terminal, and the method includes:
acquiring a fingerprint application scene, wherein the fingerprint application scene is a product function scene to be realized by fingerprint data acquired by a fingerprint acquisition assembly;
acquiring transmission rate information matched with the fingerprint application scene, wherein the transmission rate information is used for indicating the transmission rate adopted by the fingerprint acquisition component when transmitting the fingerprint data to the processor;
sending the transmission rate information to the fingerprint acquisition component;
and receiving the fingerprint data sent to the processor by the fingerprint acquisition component according to the transmission rate indicated by the transmission rate information.
On the other hand, an embodiment of the present application provides a fingerprint data transmission method, which is applied to a fingerprint acquisition component of a terminal, and the method includes:
collecting fingerprint data;
receiving transmission rate information which is sent by a processor and matched with a fingerprint application scene, wherein the fingerprint application scene is a product function scene to be realized by fingerprint data acquired by a fingerprint acquisition component;
and sending the fingerprint data to the processor according to the transmission rate indicated by the transmission rate information.
In another aspect, an embodiment of the present application provides a fingerprint data transmission apparatus, which is applied in a processor of a terminal, and the apparatus includes:
the scene acquisition module is used for acquiring a fingerprint application scene, wherein the fingerprint application scene is a product function scene to be realized by fingerprint data acquired by the fingerprint acquisition assembly;
a rate obtaining module, configured to obtain transmission rate information matched with the fingerprint application scenario, where the transmission rate information is used to indicate a transmission rate used by the fingerprint acquisition component when sending the fingerprint data to the processor;
the speed sending module is used for sending the transmission speed information to the fingerprint acquisition component;
and the data receiving module is used for receiving the fingerprint data sent by the fingerprint acquisition component to the processor according to the transmission rate indicated by the transmission rate information.
In another aspect, an embodiment of the present application provides a fingerprint data transmission device, which is applied to a fingerprint acquisition component of a terminal, and the device includes:
the fingerprint acquisition module is used for acquiring fingerprint data;
the speed receiving module is used for receiving transmission speed information which is sent by the processor and matched with a fingerprint application scene, wherein the fingerprint application scene is a product function scene to be realized by fingerprint data acquired by the fingerprint acquisition assembly;
and the data sending module is used for sending the fingerprint data to the processor according to the transmission rate indicated by the transmission rate information.
In yet another aspect, an embodiment of the present application provides a terminal, where the terminal includes a processor and a memory, where the memory stores a first computer program, and the first computer program is loaded and executed by the processor to implement the fingerprint data transmission method according to the above-mentioned aspect.
Optionally, the terminal further includes a fingerprint acquisition component, and the memory stores a second computer program, and the second computer program is loaded and executed by the fingerprint acquisition component to implement the fingerprint data transmission method according to the another aspect.
In yet another aspect, an embodiment of the present application provides a computer-readable storage medium, in which a first computer program is stored, and the first computer program is loaded and executed by a processor to implement the fingerprint data transmission method according to the above-mentioned aspect.
Optionally, the computer-readable storage medium stores a second computer program, and the second computer program is loaded and executed by the fingerprint acquisition component to implement the fingerprint data transmission method according to another aspect.
The technical scheme provided by the embodiment of the application can bring the following beneficial effects:
by acquiring the current fingerprint application scene of the terminal and determining the matched transmission rate information according to the fingerprint application scene, the subsequent fingerprint acquisition component sends fingerprint data to the processor according to the transmission rate indicated by the transmission rate information, so that the transmission rate of the fingerprint data transmitted by the fingerprint acquisition component can be adaptively adjusted according to the fingerprint application scene, and the method is more flexible and controllable. For example, when the time delay required by a fingerprint application scenario is small, the transmission rate adopted by the fingerprint acquisition component is large; for another example, when the fingerprint application scenario requires less power consumption, the transmission rate employed by the fingerprint acquisition component is less.
Drawings
Fig. 1 is a flowchart illustrating a fingerprint data transmission method according to an embodiment of the present application;
FIG. 2 is an interface diagram of a fingerprint application scenario, shown in one embodiment of the present application;
FIG. 3 is an interface diagram of a fingerprint application scenario, shown in one embodiment of the present application;
FIG. 4 is an interface diagram of a fingerprint application scenario, shown in one embodiment of the present application;
FIG. 5 is a flow chart of a fingerprint data transmission method according to another embodiment of the present application;
FIG. 6 is a flow chart of a fingerprint data transmission method according to another embodiment of the present application;
FIG. 7 is a block diagram of a fingerprint data transmission device according to one embodiment of the present application;
fig. 8 is a block diagram of a fingerprint data transmission apparatus according to another embodiment of the present application;
fig. 9 is a schematic diagram of a terminal according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
According to the technical scheme, the fingerprint application scene where the terminal is located at present is obtained, the matched transmission rate information is determined according to the fingerprint application scene, and the fingerprint data is sent to the processor by the follow-up fingerprint acquisition assembly according to the transmission rate indicated by the transmission rate information, so that the transmission rate of the fingerprint data transmitted by the fingerprint acquisition assembly can be adjusted in a self-adaptive mode according to the fingerprint application scene, and the fingerprint acquisition assembly is flexible and controllable. For example, when the time delay required by a fingerprint application scenario is small, the transmission rate adopted by the fingerprint acquisition component is large; for another example, when the fingerprint application scenario requires less power consumption, the transmission rate employed by the fingerprint acquisition component is less.
The method provided by the embodiment of the application can be applied to a terminal, and the terminal can be an electronic device such as a mobile phone, a tablet computer, an electronic book reader, a multimedia playing device, a wearable device, a laptop, and the like. In addition, the terminal comprises a processor and a fingerprint acquisition assembly.
The processor includes one or more processing cores. The processor connects various parts within the overall terminal using various interfaces and lines, performs various functions of the terminal and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory, and calling data stored in the memory.
The fingerprint acquisition assembly has a fingerprint acquisition function and is used for acquiring fingerprints of users. Optionally. The fingerprint acquisition component also has a data interaction function, for example, fingerprint data interaction is carried out between the fingerprint acquisition component and the processor. Alternatively, the fingerprint acquisition component is constructed as a fingerprint sensor, which may be provided on the front, back or side of the terminal. When a physical button or a manufacturer is provided on the terminal, the fingerprint sensor may be integrated with the physical button or the manufacturer Logo. Optionally, the fingerprint sensor includes an SPI, and the fingerprint sensor implements a data interaction function through the SPI.
Referring to fig. 1, a flowchart of a fingerprint data transmission method according to an exemplary embodiment of the present application is shown. The method can be applied in a processor of a terminal. The method comprises the following steps:
The fingerprint application scene is a product function scene to be realized by the fingerprint data acquired by the fingerprint acquisition assembly. The fingerprint application scene includes a fingerprint entry scene, a fingerprint unlocking scene, a fingerprint payment scene and the like, which are not limited in the embodiment of the application.
The fingerprint input scene refers to a scene that the terminal collects fingerprint data for the first time and stores the fingerprint data. When a terminal is in a fingerprint entry scenario, it is typically not required to implement product functionality. The fingerprint unlocking scene is a scene that the identity of a user is identified through fingerprint data, and when the identity of the user is identified as a credible identity, a certain object is switched from a locking state to an unlocking state. The object may be a terminal, or may be an application, a folder, a file, a function, and the like in the terminal, which is not limited in this embodiment of the application. In addition, when a certain object is in a locked state, the object cannot respond to the interactive operation of the user; when an object is in an unlocked state, the object can respond to user interaction. The fingerprint payment scene is a scene that the identity of the user is identified through fingerprint data, and when the identity of the user is identified as a credible identity, a subsequent payment process is executed.
Optionally, step 101 may include the following two substeps:
step 101a, obtaining operation information of the terminal.
The operation information includes at least one of: screen state information, display content information, and operation information. The screen state information is used for indicating that the screen of the terminal is in a bright screen state or a dead screen state. The bright screen state refers to a state that a screen of the terminal is luminous. The screen-off state refers to a state in which the screen of the terminal does not emit light. Alternatively, the processor acquires the screen status information by using a status determination method. The state judgment method can be an issscreen on method of PowerManager. The display content information is used to instruct an interface in a screen of the terminal to display content. The interface display content in the screen of the terminal may be a lock screen interface, a desktop interface, an interface in an application program, and the like, which is not limited in this application. The operation information is used for indicating an operation signal received by the terminal. The operation signal refers to an operation signal received within a preset time period before the fingerprint data is acquired by the fingerprint acquisition component, and the preset time period may be set according to experience, which is not limited in the embodiment of the present application.
And step 101b, determining a fingerprint application scene according to the operation information of the terminal.
The processor may determine a fingerprint application scenario based on one or more of the run information described above.
When the display content information in the terminal is used for indicating that the interface display content in the screen of the terminal comprises prompt information, the prompt information is used for prompting a user to touch the fingerprint acquisition assembly so that the terminal can conveniently input fingerprint data, the processor determines that the fingerprint application scene where the terminal is located currently is in a fingerprint input scene. With reference to fig. 2 in combination, an interface diagram of a fingerprint entry scenario is shown in one embodiment of the present application. When the terminal is in a fingerprint input scene, prompt information 21 is displayed in a screen of the terminal, and the prompt information 21 is used for prompting a user to touch the fingerprint acquisition assembly.
When the display content information in the terminal is used for indicating that the interface display content in the screen of the terminal comprises the specified key words, the processor determines that the fingerprint application scene where the terminal is located currently is a fingerprint payment scene. The specific keywords may include "pay", "order", "transfer", and the like, which is not limited in the embodiment of the present application. Referring collectively to fig. 3, an interface diagram of a fingerprint payment scenario is shown in an exemplary embodiment of the present application. When the terminal is in a fingerprint payment scenario, a payment interface 31 is displayed in the screen of the terminal. The payment interface 31 includes information such as payment amount, order information, payment method, etc
When the screen state information of the terminal indicates that the terminal is in a screen-off state, the processor determines that a fingerprint application scene where the terminal is currently located is a fingerprint unlocking scene, and an unlocking object is the terminal; when the screen state information of the terminal indicates that the terminal is in a bright screen state and the display content information is used for indicating that interface display content in a screen of the terminal comprises a screen locking interface, the processor determines that a fingerprint application scene where the terminal is located at present is a fingerprint unlocking scene and an unlocking object is the terminal; when the screen state information of the terminal indicates that the terminal is in a bright screen state, the terminal receives an operation signal within a preset time before the fingerprint acquisition assembly acquires the fingerprint data, and the terminal does not respond to the operation signal, the terminal is in a fingerprint unlocking scene, and the unlocking object is an object acted by the operation signal. For example, when the user clicks an application icon of the application a on the desktop interface and the terminal does not display the main interface of the application a, it is determined that the fingerprint application scene where the terminal is currently located is a fingerprint unlocking scene and the unlocking object is the application a.
With reference to fig. 4, an interface diagram of a fingerprint unlocking scenario is shown in an exemplary embodiment of the present application. The screen of the terminal comprises an application A and an application B, when a user clicks the application A, the terminal prompts the user to input a fingerprint, the terminal is in a fingerprint unlocking scene at the moment, and an unlocking object is the application A.
In one embodiment of the application, the processor acquires a current fingerprint application scenario when monitoring that the fingerprint acquisition component acquires fingerprint data. Optionally, a developer adds a code for monitoring the fingerprint acquisition component in the operating system, that is, performs a site burying in the operating system layer, thereby implementing monitoring on the fingerprint acquisition component. In another embodiment of the present application, the fingerprint acquisition component sends a rate acquisition request to the processor when starting to acquire fingerprint data, and the processor acquires a fingerprint application scenario where the processor is currently located when receiving the rate acquisition request.
The transmission rate information is used to indicate the transmission rate at which the fingerprint acquisition component is to transmit fingerprint data to the processor. In the embodiment of the application, the transmission rate of the fingerprint data sent by the fingerprint acquisition component to the processor is not constant, and is self-adaptively adjusted according to the current fingerprint application scene, so that the transmission rate of the fingerprint data can be flexibly controlled.
In an embodiment of the present application, step 101 is specifically implemented as: and searching and acquiring transmission rate information matched with the fingerprint application scene in a preset corresponding relation. The preset corresponding relation comprises a corresponding relation between a fingerprint application scene and transmission rate information.
And when the fingerprint application scene is a fingerprint input scene, the transmission rate information matched with the fingerprint application scene is first transmission rate information. And when the fingerprint application scene is a fingerprint unlocking scene, the transmission rate information matched with the fingerprint application scene is second transmission rate information. And when the fingerprint application scene is a fingerprint payment scene, the transmission rate information matched with the fingerprint application scene is third transmission rate information. Wherein the transmission rate indicated by the first transmission rate information is smaller than the transmission rate indicated by the second transmission rate information, and the transmission rate indicated by the second transmission rate information is smaller than the transmission rate indicated by the third transmission rate information.
In addition, it should be noted that, when the terminal is in a fingerprint unlocking scene, the transmission rate information corresponding to different unlocking objects may be the same or different.
Accordingly, the fingerprint acquisition component receives the transmission rate information sent by the processor.
And 104, receiving the fingerprint data sent by the fingerprint acquisition component to the processor according to the transmission rate indicated by the transmission rate information.
In summary, according to the technical scheme provided by the embodiment of the application, the fingerprint application scene where the terminal is currently located is acquired, the matched transmission rate information is determined according to the fingerprint application scene, and the subsequent fingerprint acquisition component sends the fingerprint data to the processor according to the transmission rate indicated by the transmission rate information, so that the transmission rate of the fingerprint data transmitted by the fingerprint acquisition component can be adaptively adjusted according to the fingerprint application scene, and the fingerprint acquisition component is more flexible and controllable. For example, when the time delay required by a fingerprint application scenario is small, the transmission rate adopted by the fingerprint acquisition component is large; for another example, when the fingerprint application scenario requires less power consumption, the transmission rate employed by the fingerprint acquisition component is less.
Referring to fig. 5, a flowchart of a fingerprint data transmission method according to an exemplary embodiment of the present application is shown. The method can be applied to a fingerprint acquisition component of the terminal. The method comprises the following steps:
The fingerprint data may be a fingerprint image. In an embodiment of the present application, when a user touches the fingerprint acquisition assembly, the fingerprint acquisition assembly acquires a fingerprint image including a fingerprint of the user as fingerprint data.
Step 502, receiving the transmission rate information matched with the fingerprint application scene sent by the processor.
The fingerprint application scene is a product function scene to be realized by the fingerprint data acquired by the fingerprint acquisition assembly. The transmission rate information is used to indicate the transmission rate at which the fingerprint acquisition component is to transmit fingerprint data to the processor.
In the embodiment of the application, the transmission rate of the fingerprint data sent by the fingerprint acquisition component to the processor is not constant, but is adaptively adjusted by the processor according to the current fingerprint application scene, and then the processor sends the transmission rate to the fingerprint acquisition component, so that the transmission rate of the fingerprint data sent by the fingerprint acquisition component can be flexibly controlled.
And after receiving the transmission rate information, the fingerprint acquisition component sends fingerprint data to the processor according to the transmission rate indicated by the transmission rate information. Optionally, the fingerprint acquisition component sends the fingerprint data to the processor through the SPI.
In summary, according to the technical scheme provided by the embodiment of the application, the fingerprint application scene where the terminal is currently located is acquired, the matched transmission rate information is determined according to the fingerprint application scene, and the subsequent fingerprint acquisition component sends the fingerprint data to the processor according to the transmission rate indicated by the transmission rate information, so that the transmission rate of the fingerprint data transmitted by the fingerprint acquisition component can be adaptively adjusted according to the fingerprint application scene, and the fingerprint acquisition component is more flexible and controllable. For example, when the time delay required by a fingerprint application scenario is small, the transmission rate adopted by the fingerprint acquisition component is large; for another example, when the fingerprint application scenario requires less power consumption, the transmission rate employed by the fingerprint acquisition component is less.
Referring to fig. 6, a flowchart of a fingerprint data transmission method according to another embodiment of the present application is shown. The method comprises the following steps:
step 601, the fingerprint acquisition component acquires fingerprint data.
Step 602, when it is monitored that the fingerprint acquisition component acquires fingerprint data, the processor acquires a fingerprint application scene.
The fingerprint application scene is a product function scene to be realized by the fingerprint data acquired by the fingerprint acquisition assembly.
Step 603, the processor obtains the transmission rate information matched with the fingerprint application scenario.
The transmission rate information is used to indicate the transmission rate at which the fingerprint acquisition component is to transmit fingerprint data to the processor.
In step 604, the processor sends transmission rate information to the fingerprinting component.
Accordingly, the fingerprint acquisition component receives the transmission rate information sent by the processor.
In step 605, the fingerprint acquisition component sends the fingerprint data to the processor according to the transmission rate indicated by the transmission rate information.
Accordingly, the processor receives fingerprint data sent by the fingerprint acquisition component to the processor according to the transmission rate indicated by the transmission rate information.
When the fingerprint data that the fingerprint collection subassembly was gathered is received to the treater, can match received fingerprint data with prestore fingerprint data to accomplish corresponding product function under the condition that the matching passes through, for example through fingerprint data unblock object, accomplish fingerprint payment flow through fingerprint data. When the fingerprint application scenario is a fingerprint unlocking scenario, in an optional embodiment provided based on the embodiments shown in fig. 1 and fig. 6, the fingerprint data transmission method further includes the following steps.
And 606, extracting the significant characteristic data of the fingerprint data.
The salient feature data includes data indicating salient features in the fingerprint. The amount of the significant feature data is smaller than the amount of the fingerprint data. Optionally, the significant feature data can also uniquely determine the identity of the user, so that the terminal can complete the comparison verification process of the fingerprint data through the significant feature data, and the security of fingerprint unlocking is ensured on the premise of improving the unlocking rate. Salient features include at least one of: bifurcation point, cut-off point, isolated point, core point, triangular point. The bifurcation point is a point where bifurcation occurs in the fingerprint lines. The cut-off point is the end position of the fingerprint line. The isolated points refer to fingerprint lines with short length. The core point is located at the progressive center of the fingerprint lines. The triangle point refers to the first bifurcation point from the core point.
In some embodiments of the present application, step 606 may include the following two substeps:
step 606a, extracting the characteristics of the fingerprint data to obtain at least one characteristic data of the fingerprint data;
fingerprint data typically includes redundant information, such as gaps between prints, that adds unnecessary fingerprint matching effort. Therefore, in the embodiment of the present application, feature extraction is performed on the fingerprint data, that is, redundant information of the fingerprint data is removed.
Step 606b, classifying the at least one feature data through the feature classification model to obtain a classification corresponding to the at least one feature data;
the feature classification model is obtained by training a neural network by adopting a machine learning algorithm. The machine learning algorithm may be a Back-Propagation (BP) algorithm, a fast Convolutional Neural Network (RCNN) algorithm of a faster regional Convolutional Neural Network (with a probabilistic Neural Network (RCNN)), and the like, which is not limited in this embodiment of the present application. The Neural Network may be a Convolutional Neural Network (CNN) Artificial Neural Network (ANN), and the like, which is not limited in the embodiment of the present application.
Further, the feature classification model is obtained by training a neural network by adopting a machine learning algorithm and sample feature data with classification labels. The classification label refers to a classification corresponding to the sample feature data, and may be at least one of the following: intersections of fingerprints, cut-off points, bifurcation points, outliers, shorts, ring points, core points, triangle points, etc.
Optionally, the feature classification model comprises: an input layer, at least one hidden layer, and an output layer. The input data of the input layer is characteristic data, and the output result of the output layer is the corresponding classification of the characteristic data. The classification determination process is as follows: inputting the feature data into an input layer of a feature classification model, extracting the features of the feature data by a hidden layer of the feature classification model, combining and abstracting the extracted features, and finally outputting the classification corresponding to the feature data by an output layer. In the embodiments of the present application, the specific structure of the hidden layer is not limited. Generally, the more layers of the neural network, the better the effect, but the longer the calculation time, and in practical application, the appropriate number of layers of the neural network can be designed according to the requirement of the timeout rate of the timeout time.
The training process of the feature classification model is as follows: inputting the sample characteristic data into an initial characteristic classification model to obtain a classification corresponding to the sample characteristic data, comparing the classification corresponding to the sample characteristic data with a classification label of the sample characteristic data to obtain a calculation loss, if the calculation loss is greater than a preset value, adjusting parameters of all hidden layers according to the calculation loss, subsequently repeating the steps until the calculation loss is less than or equal to the preset value, and finally generating the characteristic classification model. The preset value may be actually set according to the classification accuracy, which is not limited in the embodiment of the present application.
Step 606c, feature data belonging to the object classification is determined as significant feature data of the fingerprint data.
The target classification refers to a classification corresponding to the salient feature data. In the embodiment of the application, the terminal classifies each feature data extracted from the fingerprint data, and then determines the classified feature data corresponding to the classified significant feature data as the significant feature data of the fingerprint data.
Step 607, detecting whether the significant feature data of the fingerprint data matches with the significant feature data of the pre-stored fingerprint data.
The pre-stored fingerprint data refers to fingerprint data which is acquired by a fingerprint sensor in advance and stored in the terminal. The number of the pre-stored fingerprint data may be one or more. Optionally, when the user sets the fingerprint unlocking right of the target object, the terminal collects fingerprint data of the user and stores the collected fingerprint data into the terminal as pre-stored fingerprint data. Optionally, the terminal stores fingerprint data of a user when the user performs touch operation on the fingerprint sensor through different pressing angles and different pressing pressures. The fingerprint unlocking authority of the target object refers to the authority of the terminal capable of unlocking the target object through the fingerprint data.
The significant characteristic data of the pre-stored fingerprint data can be obtained by the following method: performing feature extraction on the pre-stored fingerprint data to obtain at least one feature data of the pre-stored fingerprint data; and classifying the at least one characteristic data through a characteristic classification model to obtain a classification corresponding to the at least one characteristic data, and determining the characteristic data belonging to the target classification as the significant characteristic data of the pre-stored fingerprint data. For the explanation of the obtaining manner of the significant characteristic data of the pre-stored fingerprint data, reference may be made to the explanation of the obtaining manner of the significant characteristic data of the fingerprint data in step 102, and details are not described here.
In the embodiment of the application, the terminal determines whether the significant feature data of the fingerprint data is matched with the significant feature data of the pre-stored fingerprint data by acquiring the similarity between the significant feature data of the fingerprint data and the significant feature data of the pre-stored fingerprint data and detecting whether the similarity is greater than a similarity threshold. The similarity threshold may be set according to actual requirements, which is not limited in the embodiments of the present application.
And step 608, if the significant characteristic data of the fingerprint data is matched with the significant characteristic data of the pre-stored fingerprint data, switching the target object from the locking state to the unlocking state.
The target object may be a terminal, or a certain application program in the terminal, or a certain folder in the terminal, or a certain function in the terminal, which is not limited in this embodiment of the present application.
The locked state refers to a state in which the target object cannot respond to the user's interactive operation. In contrast, the unlocked state refers to a state in which the target object can respond to the user's interactive operation.
When the significant characteristic data of the fingerprint data is matched with the significant characteristic data of any pre-stored fingerprint data, the significant characteristic data of the fingerprint data is matched with the significant characteristic data of the pre-stored fingerprint data; when the significant characteristic data of the fingerprint data is not matched with the significant characteristic data of all the pre-stored fingerprint data, the significant characteristic data of the fingerprint data is not matched with the significant characteristic data of the pre-stored fingerprint data.
Further, when the terminal detects whether the significant feature data of the fingerprint data and the significant feature data of the pre-stored fingerprint data are matched through the similarity between the significant feature data of the fingerprint data and the significant feature data of the pre-stored fingerprint data, when the similarity between the significant feature data of the fingerprint data and the significant feature data of any one of the pre-stored fingerprint data is greater than a similarity threshold value, the significant feature data of the fingerprint data and the significant feature data of the pre-stored fingerprint data are matched; and when the similarity between the significant characteristic data of the fingerprint data and the significant characteristic data of all the pre-stored fingerprint data is smaller than the similarity threshold value, the significant characteristic data of the fingerprint data is not matched with the significant characteristic data of the pre-stored fingerprint data.
Alternatively, when the target object includes usage rights of n functions, where n is an integer greater than 1, step 703 may include several substeps as follows.
In step 608a, the usage rights of m functions in the n functions are switched from the locked state to the unlocked state, where m is a positive integer smaller than n.
The n functions are all functions provided by the target object. Taking the target object as the terminal as an example, the functions of the terminal include the use functions of various applications installed in the terminal, such as a call application, a calendar application, a weather application, and the like, and the terminal may further include various system functions. Such as a flashlight function, a bluetooth function, a background cleaning function, etc. The m functions are some of all the functions provided by the target object. Optionally, the m functions may be set by default by the terminal, or may be set by user-defined. Optionally, the terminal sets a security level for each function, and determines the function with the security level less than the preset level as m functions.
When the use authority of a certain function is in a locked state, the terminal cannot execute the function; when the use authority of a certain function is in an unlocked state, the terminal can execute the function. In the embodiment of the application, when the significant characteristic data in the fingerprint data are matched with the significant characteristic data in the pre-stored fingerprint data, the terminal only unlocks part of functions of the object to be unlocked, and on the premise of improving the fingerprint unlocking rate, the safety of the object to be unlocked can be guaranteed.
When the target object is a terminal, step 608a is implemented as: and switching the use authority of the communication function of the terminal from the locking state to the unlocking state. In the embodiment of the application, when a user unlocks the fingerprint of the terminal, if the fact that the significant characteristic data of the fingerprint data is matched with the significant characteristic data of the pre-stored fingerprint data is detected, the terminal only unlocks the call function, and does not unlock other functions. In one possible implementation, when the terminal detects that the significant characteristic data of the fingerprint data matches the significant characteristic data of the pre-stored fingerprint data, the dialing interface corresponding to the call function is directly displayed. In another possible implementation manner, when the terminal detects that the significant characteristic data of the fingerprint data matches with the significant characteristic data of the pre-stored fingerprint data, the desktop interface is displayed.
When the target object is a target application, step 608a is implemented as: and switching the use permission of the display function of the main interface of the target application program from a locking state to an unlocking state. In the embodiment of the application, when a user performs fingerprint unlocking on an application program, if the significant characteristic data of the fingerprint data is detected to be matched with the significant characteristic data of the pre-stored fingerprint data, the terminal only unlocks the display function of the main interface, and does not unlock other functions. Optionally, when the terminal detects that the significant feature data of the fingerprint data matches the significant feature data of the pre-stored fingerprint data, displaying the main interface of the target application program.
Optionally, after step 608, the fingerprint data transmission method may further include the steps of:
and step 609, detecting whether the non-significant characteristic data of the fingerprint data is matched with the non-significant characteristic data of the pre-stored fingerprint data.
The non-significant feature data of the fingerprint data is data other than the significant feature data of the fingerprint data in the fingerprint data. The non-significant feature data of the pre-stored fingerprint data is data other than the significant feature data of the pre-stored fingerprint data in the pre-stored fingerprint data.
An insignificant feature is data that includes an insignificant feature in a fingerprint. Non-salient features include at least one of: bifurcation points, short veins, ring points. Wherein, the ring point is a small ring formed by combining two lines immediately after the two lines are separated. The short veins are veins with one end shorter but not becoming a point. The bifurcation point refers to the position where the two lines are separated.
And step 610, if the non-significant characteristic data of the fingerprint data is matched with the non-significant characteristic data of the pre-stored fingerprint data, switching the use permission of at least one function except the m unlocked functions from the locked state to the unlocked state.
In the embodiment of the application, after the terminal detects that the significant characteristic data of the fingerprint data is matched with the significant characteristic data of the pre-stored fingerprint data, the terminal further matches other data except the significant characteristic data in the fingerprint data with other data except the significant characteristic data in the pre-stored fingerprint data, and unlocks other functions except the unlocked function of the target object according to the matching result.
Optionally, when detecting that the non-significant feature data of the fingerprint data matches the non-significant feature data of the pre-stored fingerprint data, the terminal switches the usage right of the other functions except the m functions already unlocked from the locked state to the unlocked state.
Optionally, when detecting that the non-significant feature data of the fingerprint data is not matched with the non-significant feature data of the pre-stored fingerprint data, the terminal displays second prompt information, the second prompt information is used for prompting that the non-significant feature data of the fingerprint data of the user is not matched with the non-significant feature data of the pre-stored fingerprint data, and the user can touch the fingerprint sensor again according to the second prompt information so that the terminal can acquire the fingerprint data again. Further, the terminal can switch the usage right of at least one function of the unlocked m functions from the unlocked state to the locked state when detecting that the non-significant characteristic data of the fingerprint data does not match the non-significant characteristic data of the pre-stored fingerprint data.
To sum up, the technical scheme that this application embodiment provided, when carrying out the fingerprint unblock to a certain object, the apparent characteristic data in the fingerprint data that will gather compares with the apparent characteristic data in the fingerprint data of prestoring and verifies, compare in the correlation technique with all fingerprint data that gather and the fingerprint data of prestoring verify, the data bulk of showing the characteristic data is less than the data bulk of all fingerprint data of gathering, that is, the data bulk that the fingerprint data that need compare in this application embodiment is verified is less, therefore the terminal accomplishes above-mentioned required time of verification process that compares less, and then improves unblock efficiency.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Referring to fig. 7, a block diagram of a fingerprint data transmission device according to an embodiment of the present application is shown. The device is applied to a processor of a terminal, and has the function of realizing the processor side in the method example, and the function can be realized by hardware or by hardware executing corresponding software. The apparatus may include:
the scene acquisition module 701 is configured to acquire a fingerprint application scene, where the fingerprint application scene is a product function scene to be implemented by using fingerprint data acquired by the fingerprint acquisition component.
A rate obtaining module 702, configured to obtain transmission rate information matched with the fingerprint application scenario, where the transmission rate information is used to indicate a transmission rate used by the fingerprint acquisition component when sending the fingerprint data to the processor.
A rate sending module 703, configured to send the transmission rate information to the fingerprint acquisition component.
A data receiving module 704, configured to receive the fingerprint data sent by the fingerprint acquisition component to the processor according to the transmission rate indicated by the transmission rate information.
In an optional embodiment provided based on the embodiment shown in fig. 7, the scene obtaining module 701 is configured to:
acquiring operation information of the terminal, wherein the operation information comprises at least one of the following: screen state information, display content information and operation information; the screen state information is used for indicating that a screen of the terminal is in a bright screen state or a dead screen state, the display content information is used for indicating interface display content in the screen of the terminal, and the operation information is used for indicating an operation signal received by the terminal;
and determining the fingerprint application scene according to the operation information of the terminal.
Optionally, the scene obtaining module 701 is configured to:
when the screen state information is used for indicating that a screen of the terminal is in the screen off state, or when the operation information is used for indicating that the terminal receives an operation signal within a preset time length before the fingerprint acquisition component acquires the fingerprint data and the terminal does not respond to the operation signal, determining that the fingerprint application scene is a fingerprint unlocking scene;
when the display content information is used for indicating that interface display content in a screen of the terminal comprises prompt information, the prompt information is used for prompting to touch the fingerprint acquisition assembly, and the fingerprint application scene is determined to be a fingerprint input scene;
and when the display content information is used for indicating that the interface display content in the screen of the terminal comprises a specified keyword, determining that the fingerprint application scene is a fingerprint payment scene.
In another optional embodiment provided based on the embodiment shown in fig. 7, the rate obtaining module 702 is configured to search and obtain the transmission rate information matched with the fingerprint application scenario in a preset corresponding relationship, where the preset corresponding relationship includes a corresponding relationship between the fingerprint application scenario and the transmission rate information.
Optionally, when the fingerprint application scene is a fingerprint input scene, the transmission rate information matched with the fingerprint application scene is first transmission rate information; when the fingerprint application scene is a fingerprint unlocking scene, the transmission rate information matched with the fingerprint application scene is second transmission rate information; when the fingerprint application scene is a fingerprint payment scene, the transmission rate information matched with the fingerprint application scene is third transmission rate information, the transmission rate indicated by the first transmission rate information is less than the transmission rate indicated by the second transmission rate information, and the transmission rate indicated by the second transmission rate information is less than the transmission rate indicated by the third transmission rate information.
In another alternative embodiment provided based on the embodiment shown in fig. 7, the apparatus further comprises: feature extraction module, fingerprint matching module and unlocking module (not shown in the figure)
A feature extraction module to extract salient feature data of the fingerprint data, the salient feature data comprising data indicative of salient features in the fingerprint, the salient features comprising at least one of: bifurcation point, cut-off point, isolated point, core point, triangular point.
And the fingerprint matching module is used for detecting whether the significant characteristic data of the fingerprint data is matched with the significant characteristic data of the pre-stored fingerprint data.
And the unlocking module is used for switching the target object from the locking state to the unlocking state if the significant characteristic data of the fingerprint data is matched with the significant characteristic data of the prestored fingerprint data.
Optionally, the target object includes usage rights of n functions, where n is an integer greater than 1;
the unlocking module is used for switching the use permission of m functions in the n functions from the locking state to the unlocking state, wherein m is a positive integer smaller than n.
Optionally, the unlocking module is further configured to detect whether non-significant feature data of the fingerprint data and non-significant feature data of the pre-stored fingerprint data match, where the non-significant feature data of the fingerprint data is data in the fingerprint data other than the significant feature data of the fingerprint data, and the non-significant feature data of the pre-stored fingerprint data is data in the pre-stored fingerprint data other than the significant feature data of the pre-stored fingerprint data;
and if the non-significant characteristic data of the fingerprint data is matched with the non-significant characteristic data of the pre-stored fingerprint data, switching the use permission of at least one function except the m unlocked functions in the n functions from the locked state to the unlocked state.
Referring to fig. 8, a block diagram of a fingerprint data transmission device according to an embodiment of the present application is shown. The device is applied to a fingerprint acquisition assembly of a terminal, has the function of realizing one side of the fingerprint acquisition assembly in the method example, and the function can be realized by hardware or can be realized by hardware executing corresponding software. The apparatus may include: fingerprint acquisition module 801, rate receiving module 802 and data sending module 803
And the fingerprint acquisition module 801 is used for acquiring fingerprint data.
A rate receiving module 802, configured to receive transmission rate information that is sent by the processor and matches with a fingerprint application scenario, where the fingerprint application scenario refers to a product function scenario to be implemented by the fingerprint data acquired by the fingerprint acquisition component.
A data sending module 803, configured to send the fingerprint data to the processor according to the transmission rate indicated by the transmission rate information.
It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the functional modules is illustrated, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the apparatus may be divided into different functional modules to implement all or part of the functions described above. In addition, the apparatus and method embodiments provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.
Referring to fig. 9, a block diagram of a terminal according to an exemplary embodiment of the present application is shown. A terminal in the present application may include one or more of the following components: a processor 910 and a memory 920.
Alternatively, the fingerprint data transmission method provided by the various method embodiments described below is implemented when the processor 910 executes the program instructions in the memory 920.
The Memory 920 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 920 includes a non-transitory computer-readable medium. The memory 920 may be used to store instructions, programs, code sets, or instruction sets. The memory 920 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function, instructions for implementing the various method embodiments described above, and the like; the storage data area may store data created according to the use of the terminal, and the like.
The structure of the terminal described above is only illustrative, and in actual implementation, the terminal may include more or less components, such as: a fingerprint collection component, etc., which is not limited in this embodiment.
Those skilled in the art will appreciate that the configuration shown in fig. 9 does not constitute a limitation of terminal 900, and may include more or fewer components than those shown, or may combine certain components, or may employ a different arrangement of components.
In an exemplary embodiment, a computer readable storage medium is also provided, in which a computer program is stored, which is loaded and executed by a processor of a terminal to implement the respective steps in the above-described method embodiments.
In an exemplary embodiment, a computer program product is also provided for implementing the functions of the individual steps in the above-described method embodiments when the computer program product is executed.
It should be understood that reference to "a plurality" herein means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
The above description is only exemplary of the present application and should not be taken as limiting the present application, and any modifications, equivalents, improvements and the like that are made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (12)
1. A fingerprint data transmission method, applied to a processor of a terminal, the method comprising:
acquiring a fingerprint application scene, wherein the fingerprint application scene is a product function scene to be realized by fingerprint data acquired by a fingerprint acquisition assembly;
searching and acquiring transmission rate information matched with the fingerprint application scene in a preset corresponding relation, wherein the preset corresponding relation comprises the corresponding relation between the fingerprint application scene and the transmission rate information, and the transmission rate information is used for indicating the transmission rate adopted when the fingerprint acquisition assembly sends the fingerprint data to the processor;
sending the transmission rate information to the fingerprint acquisition component;
and receiving the fingerprint data sent to the processor by the fingerprint acquisition component according to the transmission rate indicated by the transmission rate information.
2. The method of claim 1, wherein the obtaining the fingerprint application scenario comprises:
acquiring operation information of the terminal, wherein the operation information comprises at least one of the following: screen state information, display content information and operation information; the screen state information is used for indicating that a screen of the terminal is in a bright screen state or a dead screen state, the display content information is used for indicating interface display content in the screen of the terminal, and the operation information is used for indicating an operation signal received by the terminal;
and determining the fingerprint application scene according to the operation information of the terminal.
3. The method according to claim 2, wherein the determining the fingerprint application scenario according to the operation information of the terminal comprises:
when the screen state information is used for indicating that a screen of the terminal is in the screen off state, or when the operation information is used for indicating that the terminal receives an operation signal within a preset time length before the fingerprint acquisition component acquires the fingerprint data and the terminal does not respond to the operation signal, determining that the fingerprint application scene is a fingerprint unlocking scene;
when the display content information is used for indicating that interface display content in a screen of the terminal comprises prompt information, determining that the fingerprint application scene is a fingerprint input scene; the prompt information is used for prompting to touch the fingerprint acquisition assembly;
and when the display content information is used for indicating that the interface display content in the screen of the terminal comprises a specified keyword, determining that the fingerprint application scene is a fingerprint payment scene.
4. The method of claim 1,
when the fingerprint application scene is a fingerprint input scene, the transmission rate information matched with the fingerprint application scene is first transmission rate information;
when the fingerprint application scene is a fingerprint unlocking scene, the transmission rate information matched with the fingerprint application scene is second transmission rate information;
when the fingerprint application scene is a fingerprint payment scene, the transmission rate information matched with the fingerprint application scene is third transmission rate information;
the transmission rate indicated by the first transmission rate information is smaller than the transmission rate indicated by the second transmission rate information, and the transmission rate indicated by the second transmission rate information is smaller than the transmission rate indicated by the third transmission rate information.
5. The method of any of claims 1 to 4, wherein the receiving the fingerprint data sent by the fingerprinting component to the processor at the transmission rate indicated by the transmission rate information further comprises:
extracting salient feature data of the fingerprint data, the salient feature data comprising data indicative of salient features in a fingerprint, the salient features comprising at least one of: a bifurcation point, a cut-off point, an isolated point, a core point and a triangular point;
detecting whether the significant characteristic data of the fingerprint data is matched with the significant characteristic data of the prestored fingerprint data;
and if the significant characteristic data of the fingerprint data is matched with the significant characteristic data of the pre-stored fingerprint data, switching the target object from the locking state to the unlocking state.
6. The method according to claim 5, wherein the target object comprises usage rights of n functions, n being an integer greater than 1;
the switching the target object from the locking state to the unlocking state includes:
and switching the use authority of m functions in the n functions from the locking state to the unlocking state, wherein m is a positive integer smaller than n.
7. The method according to claim 6, wherein after the switching the usage right of m functions of the n functions from the locked state to the unlocked state, further comprising:
detecting whether non-significant characteristic data of the fingerprint data and non-significant characteristic data of the pre-stored fingerprint data are matched, wherein the non-significant characteristic data of the fingerprint data are data except significant characteristic data of the fingerprint data in the fingerprint data, and the non-significant characteristic data of the pre-stored fingerprint data are data except significant characteristic data of the pre-stored fingerprint data in the pre-stored fingerprint data;
and if the non-significant characteristic data of the fingerprint data is matched with the non-significant characteristic data of the pre-stored fingerprint data, switching the use permission of at least one function except the m unlocked functions in the n functions from the locked state to the unlocked state.
8. A fingerprint data transmission method is applied to a fingerprint acquisition component of a terminal, and comprises the following steps:
collecting fingerprint data;
receiving transmission rate information which is sent by a processor and matched with a fingerprint application scene, wherein the fingerprint application scene is a product function scene to be realized by fingerprint data acquired by a fingerprint acquisition assembly, the transmission rate information is acquired by the processor in a preset corresponding relationship, and the preset corresponding relationship comprises a corresponding relationship between the fingerprint application scene and the transmission rate information;
and sending the fingerprint data to the processor according to the transmission rate indicated by the transmission rate information.
9. A fingerprint data transmission device, for use in a processor of a terminal, the device comprising:
the scene acquisition module is used for acquiring a fingerprint application scene, wherein the fingerprint application scene is a product function scene to be realized by fingerprint data acquired by the fingerprint acquisition assembly;
a rate obtaining module, configured to search for and obtain transmission rate information matched with the fingerprint application scenario in a preset corresponding relationship, where the preset corresponding relationship includes a corresponding relationship between the fingerprint application scenario and the transmission rate information, and the transmission rate information is used to indicate a transmission rate used when the fingerprint acquisition component sends the fingerprint data to the processor;
the speed sending module is used for sending the transmission speed information to the fingerprint acquisition component;
and the data receiving module is used for receiving the fingerprint data sent by the fingerprint acquisition component to the processor according to the transmission rate indicated by the transmission rate information.
10. A fingerprint data transmission device, characterized in that, be applied to the fingerprint collection subassembly of terminal, the device includes:
the fingerprint acquisition module is used for acquiring fingerprint data;
the speed receiving module is used for receiving transmission speed information which is sent by the processor and is matched with a fingerprint application scene, wherein the fingerprint application scene is a product function scene to be realized through fingerprint data acquired by the fingerprint acquisition assembly, the transmission speed information is acquired by the processor in a preset corresponding relation, and the preset corresponding relation comprises a corresponding relation between the fingerprint application scene and the transmission speed information;
and the data sending module is used for sending the fingerprint data to the processor according to the transmission rate indicated by the transmission rate information.
11. A terminal, characterized in that it comprises a processor and a memory, said memory storing a computer program which is loaded and executed by said processor to implement the fingerprint data transmission method according to any one of claims 1 to 7.
12. A computer-readable storage medium, in which a computer program is stored, which is loaded and executed by a processor to implement the fingerprint data transmission method according to any one of claims 1 to 7.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103778174A (en) * | 2012-10-19 | 2014-05-07 | 索尼公司 | Apparatus and method for scene change detection-based trigger for audio fingerprinting analysis |
| CN106022041A (en) * | 2016-05-18 | 2016-10-12 | 广东欧珀移动通信有限公司 | Mobile terminal unlocking method and mobile terminal |
| CN106817677A (en) * | 2017-01-19 | 2017-06-09 | 北京邮电大学 | A kind of indoor objects information identifying method, apparatus and system based on multisensor |
| CN107368732A (en) * | 2017-07-14 | 2017-11-21 | 南京安璞信息技术有限公司 | A kind of object recognition and detection system and method based on equipment physical fingerprint feature |
| CN107480167A (en) * | 2017-06-26 | 2017-12-15 | 北京珠穆朗玛移动通信有限公司 | Method, mobile terminal and storage medium based on the quick sharing information of fingerprint |
-
2018
- 2018-05-29 CN CN201810528076.XA patent/CN108804899B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103778174A (en) * | 2012-10-19 | 2014-05-07 | 索尼公司 | Apparatus and method for scene change detection-based trigger for audio fingerprinting analysis |
| CN106022041A (en) * | 2016-05-18 | 2016-10-12 | 广东欧珀移动通信有限公司 | Mobile terminal unlocking method and mobile terminal |
| CN106817677A (en) * | 2017-01-19 | 2017-06-09 | 北京邮电大学 | A kind of indoor objects information identifying method, apparatus and system based on multisensor |
| CN107480167A (en) * | 2017-06-26 | 2017-12-15 | 北京珠穆朗玛移动通信有限公司 | Method, mobile terminal and storage medium based on the quick sharing information of fingerprint |
| CN107368732A (en) * | 2017-07-14 | 2017-11-21 | 南京安璞信息技术有限公司 | A kind of object recognition and detection system and method based on equipment physical fingerprint feature |
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