CN107077279A - A kind of method and device of pressure detecting - Google Patents
A kind of method and device of pressure detecting Download PDFInfo
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- CN107077279A CN107077279A CN201680001297.0A CN201680001297A CN107077279A CN 107077279 A CN107077279 A CN 107077279A CN 201680001297 A CN201680001297 A CN 201680001297A CN 107077279 A CN107077279 A CN 107077279A
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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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
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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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Abstract
A kind of method and device of pressure detecting, methods described includes：Fingerprint image is gathered, the fingerprint image is identified, its corresponding pressure rating quantization parameter is obtained；Pressing data is parsed, and obtains the characteristics of objects value of the pressing data；According to the pressure rating quantization parameter and the characteristics of objects value, the pressure rating of finger pressing is calculated.The fingerprint image collected is identified the application, and pressing data is parsed, calculated according to the pressure rating quantization parameter and characteristics of objects value respectively obtained and obtain pressure rating, so as to improve the accuracy of pressure rating detection, improve the performance and Consumer's Experience of pressure detecting.
Description
Technical Field
The application belongs to the technical field of intelligent terminals, and particularly relates to a pressure detection method and device.
Background
The intelligent terminal has the capability of accessing the Internet, is usually provided with various operating systems, and can customize various functions according to the requirements of users. Common intelligent terminals in life include mobile intelligent terminals, vehicle-mounted intelligent terminals, intelligent televisions, wearable equipment and the like. Along with the development of intelligent terminal technology, to the improvement of the convenience requirement of its operating performance, the intelligent terminal who has the pressure detection function is more and more in getting into user's life, for example increased functions such as slip, click on pressing the module, is applied to scenes such as page turning, image zooming. Pressure detection based on the biometric features of the user pressing the pressing module is a new research direction, such as fingerprint texture, blood flow, and heart beat intensity, but the biometric features of different users have differences, which results in large errors of detected pressure levels.
For example, when the biometric features used for pressure detection are fingerprint information of a user, due to differences of thicknesses of different finger cuticle layers and depths of fingerprint textures, the fingerprint data corresponding to different fingerprints are different under the same pressure. Therefore, the detected pressure level error is large, and the user experience of the pressure detection function based on the fingerprint data is poor.
Therefore, how to accurately detect the pressure level becomes a technical problem to be solved urgently in the prior art.
Disclosure of Invention
The application provides a pressure detection method and device, which can identify an acquired fingerprint image, analyze press data, calculate and obtain a pressure grade according to a pressure grade quantization parameter and an object characteristic value which are respectively obtained, and improve the accuracy of pressure detection.
An embodiment of the present application provides a method for pressure detection, including: collecting a fingerprint image, identifying the fingerprint image, and acquiring a pressure grade quantization parameter corresponding to the fingerprint image; analyzing the pressing data and acquiring an object characteristic value of the pressing data; and calculating the pressure level of the finger pressing according to the pressure level quantization parameter and the object characteristic value.
Another embodiment of the present application provides an electronic device for pressure detection, including: the parameter acquisition module is used for acquiring a fingerprint image, identifying the fingerprint image and acquiring a pressure grade quantization parameter corresponding to the fingerprint image; the characteristic value acquisition module is used for analyzing the pressing data and acquiring the object characteristic value of the pressing data; and the pressure acquisition module is used for calculating the pressure level of finger pressing according to the pressure level quantization parameter and the object characteristic value.
Yet another embodiment of the present application provides a non-transitory computer storage medium storing computer-executable instructions, the computer-executable instructions comprising: collecting a fingerprint image, identifying the fingerprint image, and acquiring a pressure grade quantization parameter corresponding to the fingerprint image; analyzing the pressing data and acquiring an object characteristic value of the pressing data; and calculating the pressure level of the finger pressing according to the pressure level quantization parameter and the object characteristic value.
Yet another embodiment of the present application further provides an electronic device, including: at least one processor; and at least one memory; wherein the at least one memory stores programming executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to: collecting a fingerprint image, identifying the fingerprint image, and acquiring a pressure grade quantization parameter corresponding to the fingerprint image; analyzing the pressing data and acquiring an object characteristic value of the pressing data; and calculating the pressure level of the finger pressing according to the pressure level quantization parameter and the object characteristic value.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a flow chart of an embodiment of a pressure detection method of the present application;
FIG. 2 is a schematic diagram of a hardware structure of an embodiment of a pressing module according to the present application;
FIG. 3 is a schematic diagram of a hardware structure of another embodiment of the pressing module of the present application;
FIG. 4 is a flowchart illustrating an embodiment of step S1 of the pressure detecting method of the present application shown in FIG. 1;
FIG. 5 is a flow chart of one embodiment of a pressure sensing method of the present application;
FIG. 6 is a flowchart illustrating an embodiment of step S3 of the pressure detecting method of the present application shown in FIG. 1;
FIG. 7 is a schematic structural diagram of an embodiment of a pressure detecting device according to the present application;
FIG. 8 is a schematic structural diagram illustrating an embodiment of a parameter obtaining module in the pressure detecting device of the present application shown in FIG. 7;
FIG. 9 is a schematic structural diagram of an embodiment of a pressure detecting device according to the present application;
FIG. 10 is a schematic structural diagram illustrating an embodiment of a pressure obtaining module of the pressure detecting apparatus of the present application;
fig. 11 is a schematic diagram of a hardware structure of an electronic device for executing the pressure detection method according to the present application.
Detailed Description
The fingerprint image recognition method and the fingerprint image recognition device recognize the obtained fingerprint image, analyze the pressing data, and calculate and obtain the pressure grade according to the pressure grade quantization parameter and the object characteristic value. According to the method and the device, different pressure grade quantization parameters are adopted to be combined with the object characteristic values to obtain the pressure grade according to different fingerprint images, so that the accuracy of pressure grade detection is improved, and the performance and the user experience of the pressure detection are improved.
In order to make the objects, features and advantages of the present invention more apparent and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides a pressure detection method, which is applied to an intelligent terminal with a pressing module. The intelligent terminal comprises a mobile phone, a notebook, a tablet personal computer, a POS machine, a vehicle-mounted computer and the like.
Referring to fig. 1, the method includes:
and S1, collecting the fingerprint image, identifying the fingerprint image, and acquiring the corresponding pressure level quantization parameter.
And S2, analyzing the pressing data and acquiring the object characteristic value of the pressing data.
And S3, calculating the pressure level of the finger pressing according to the pressure level quantization parameter and the object characteristic value.
According to the method and the device, different pressure grade quantization parameters are adopted to be combined with the object characteristic values to obtain the pressure grade according to the identification results of different fingerprint images, so that the accuracy of pressure grade detection is improved, and the performance and the user experience of pressure detection are improved.
In a concrete realization of this application, press the module and can be used for utilizing its finger to press the time gathering the fingerprint image of finger and acquire corresponding data of pressing. The compression data includes one or more of fingerprint texture data, blood flow data, and heartbeat intensity data. The fingerprint texture data can be obtained from the collected fingerprint image when the user presses the pressing module by using the finger, namely the fingerprint texture data can be embodied as the fingerprint image; the blood flow data and the heartbeat intensity data may be obtained by detecting the finger when the finger is pressed against the contact surface of the pressing module.
Specifically, when the user presses the pressing module with his finger and with different force levels, the fingerprint texture of the finger fingerprint image, the blood flow and the heartbeat intensity detected by the finger will change according to the difference of the pressing force levels of the finger, and therefore, the fingerprint texture data, the blood flow data and the heartbeat intensity data can represent the pressure information of the user pressing the pressing module with his finger, that is, the pressure information can be obtained by analyzing the characteristics of the obtained fingerprint texture, blood flow and heartbeat intensity.
The pressing module can comprise a fingerprint acquisition device and a pressure sensing device, and is used for acquiring fingerprint images and pressing data respectively.
Specifically, in an embodiment, the fingerprint collection device and the pressure sensing device may be integrally formed (as shown in fig. 2), for example, integrated in the same fingerprint sensor or fingerprint detection module; alternatively, in another embodiment, the fingerprint acquisition device and the pressure sensing device may be two separate functional components that are formed separately (as shown in FIG. 3).
Fig. 2 is the hardware structure schematic diagram of the module embodiment is pressed to this application, presses fingerprint collection device and pressure sensing device in the module 20 to be integrated into one piece, presses the fingerprint collection device of module 20 accessible integration and pressure sensing device to gather the fingerprint image and acquire corresponding data of pressing.
Fig. 3 is the hardware structure schematic diagram of another embodiment of this application pressing module, and the fingerprint collection device and the pressure sensing device that press module 20 are the components of a whole that can function independently and form, and wherein, fingerprint collection device 22 can be used to gather the fingerprint image, and pressure sensing device 23 can be used to acquire with the corresponding data of pressing of fingerprint image.
In this embodiment, taking the pressing data as the fingerprint image data as an example, the fingerprint image acquired by the fingerprint acquisition device is analyzed to obtain the feature data of the fingerprint, such as a mean value, a peak value, a ridge line deformation degree, and the like, and the feature data is taken as the pressing data.
Taking the pressing data as blood flow as an example, the pressure sensing device may be a blood flow detection device, and the blood flow detection device obtains, in real time, blood flow data when the finger is pressed with different force, where the blood flow data is not actual blood flow, but is a value proportional to the actual blood flow, and may indicate the magnitude of the actual blood flow. Blood flow volume data obtained by a blood flow volume detection device is used as the compression data.
Use press the data as the heartbeat intensity for the example, pressure-sensitive device can be pulse detection device, and pulse detection device obtains the heartbeat intensity data of the production when the finger uses different dynamics to press in real time. For example, the pulse detection device can obtain the heartbeat intensity data by a capacitance detection method, which belongs to the prior art and is not described herein again. And taking the heartbeat intensity data obtained by the pulse detection device as the pressing data.
Certainly, in the present application, the finger image may also be replaced by a toe image or other object image, and the specific implementation manner is similar, which is not described herein again.
Referring to fig. 4, the step S1 includes:
and S11, collecting the fingerprint image.
In this embodiment, the fingerprint image may be collected by a fingerprint collecting device.
And S12, judging whether the pre-stored fingerprint image information base has fingerprint image template information matched with the fingerprint image.
The fingerprint image information base can store fingerprint image template information of registered users in advance, and each fingerprint image template information stores a fingerprint indicating value and a pressure level quantization parameter corresponding to the fingerprint indicating value.
The fingerprint marking value comprises a value used for marking the identity of the finger of the user, such as the shape of the fingerprint, the core point, the number of the fingerprint and the like.
According to the fingerprint image of the finger, acquiring a fingerprint indicating value of the finger, and inquiring fingerprint image template information in a fingerprint image information base; if the fingerprint indicating value in the fingerprint image template information is the same as the fingerprint indicating value of the acquired fingerprint image, the fingerprint image template information matched with the fingerprint image of the finger exists in the fingerprint image information base.
And S13, if the pressure level quantization parameter exists, reading the pressure level quantization parameter from the fingerprint image template information.
And if the fingerprint image template information matched with the fingerprint image of the finger exists in the fingerprint image information base, reading a pressure level quantization parameter corresponding to the fingerprint image from the fingerprint image template information.
And S14, otherwise, setting a default value as the pressure level quantization parameter.
And if the fingerprint image template information matched with the fingerprint image of the finger does not exist in the fingerprint image information base, setting a default value as the pressure level quantization parameter. The default value is set by one skilled in the art as required.
This embodiment is right the fingerprint image of the finger that the module was obtained is pressed discerns, according to the fingerprint image information base that prestores whether have the image template information of matching, obtains the pressure level quantization parameter that corresponds with the fingerprint image. Therefore, the present embodiment can obtain different pressure level quantization parameters according to different fingerprint images.
Referring to fig. 5, in a specific implementation of the method for pressure detection provided in the present application, the step S11 is further preceded by:
and S10, acquiring object characteristic values of at least two groups of continuous pressing data of the registered user and the maximum variation of the object characteristic values relative to the reference characteristic values.
Specifically, after the user completes the registration of the fingerprint template of the finger, the pressing module can be switched to a pressure detection mode, at this time, the system prompts the user to press the pressing module with the finger from light to heavy (that is, the pressing force is from small to large), and the continuous pressing data is obtained by continuously collecting the pressing data of the registered user by pressing the pressing module from light to heavy. Taking the pressing data as the fingerprint texture data as an example, the fingerprint texture data can be embodied as a fingerprint image, and the fingerprint acquisition device captures the fingerprint image of the finger of the user pressed from light to heavy until the finger is lifted.
The continuous pressing data of the registered user is acquired as effective pressing data, and the pressing data is taken as fingerprint texture data as an example, that is, in a fingerprint image corresponding to the fingerprint texture data, fingerprint texture data with a pressing area larger than a certain threshold value is effective pressing data.
In step S10, taking the pressing data as the fingerprint texture data as an example, the fingerprint texture data can be embodied as a fingerprint image; firstly, a continuously collected user presses the fingerprint image of the pressing module from light to heavy, and the object characteristic value of each frame of fingerprint image in the continuously collected fingerprint image is calculated to obtain the object characteristic value { x }1,x2,…,xMAnd M is the frame number of the collected continuous fingerprint images. The object characteristic values comprise one or more of characteristic values capable of measuring the magnitude of the pressing force, such as a mean value, a peak value, a ridge deformation degree and the like.
Further, the characteristic value of the fingerprint image of the first frame of effective pressing is selected as a reference characteristic value, and the characteristic value { x ] of each frame of fingerprint image is calculated1,x2,…,xMRelative to a reference feature value x1Wherein the calculated maximum absolute value of the difference is the maximum variation S of the fingerprint image relative to the reference characteristic value when the pressing force is maximum, and the calculation formula is as follows:
and S100, calculating the pressure grade quantification parameter according to the maximum variation and a preset pressure grade value range.
Setting a value range of the pressure grade as [0, N ], a value range of the variation as [0, S ], and a mapping function from the maximum variation to the pressure grade as follows:
n＝f(s,α)
wherein N ∈ [0, N ] represents a pressure level, S ∈ [0, S ] represents a variation of a fingerprint image feature value with respect to a reference feature value, α represents a pressure level quantization parameter, and f (·) represents a mapping function. And (0, α) is 0, and f (S, α) is N, and the pressure level quantization parameter α is obtained through calculation.
And S1000, storing the pressure grade quantization parameter as fingerprint image template information of a registered user into the fingerprint image information base.
In a specific implementation of the present application, the pressure level quantization parameter may be stored in the fingerprint image template information of the registered user according to the fingerprint indication value of the fingerprint image thereof, and may be stored in the fingerprint image information base. Since the pressure level quantization parameter is stored in the fingerprint image template information based on the fingerprint indication value of the fingerprint image, the pressure level quantization parameter has a corresponding relationship with the fingerprint indication value of the fingerprint image in the fingerprint image information base.
Referring to fig. 6, in one specific implementation of the method for pressure detection provided herein, the step S3 includes:
and S31, calculating the change quantity of the object characteristic value relative to the reference characteristic value.
In this embodiment, the reference feature value is an object feature value x corresponding to a first group of valid compression data in the continuous compression database。
Taking the pressing data as the fingerprint texture data as an example, the fingerprint texture data may be embodied as a fingerprint image, and the reference feature value may be a fingerprint feature value corresponding to the collected first frame of fingerprint image.
Calculating the object feature value xcurrVariation s from the reference characteristic valuecurr＝|xcurr-xbase|。
And S32, quantizing the variation into the pressure level according to the pressure level quantization parameter.
In this embodiment, the parameter α is quantified according to pressure levelcurrThe object feature value x is setcurrVariation s from the reference characteristic valuecurrQuantified as pressure class ncurr＝f(scurr,αcurr) Outputting the pressure level calculation result ncurr。
The embodiment of the application further provides a pressure detection device, and the pressure detection device is applied to the intelligent terminal with the pressing module. The intelligent terminal comprises a mobile phone, a notebook, a tablet personal computer, a POS machine, a vehicle-mounted computer and the like.
Referring to fig. 7, the apparatus includes:
the parameter obtaining module 70 is configured to collect a fingerprint image, identify the fingerprint image, and obtain a pressure level quantization parameter corresponding to the fingerprint image.
The feature value obtaining module 80 is configured to analyze the pressing data and obtain an object feature value of the pressing data.
A pressure obtaining module 90 configured to calculate a pressure level of the finger pressing according to the pressure level quantization parameter and the object feature value.
According to the method and the device, different pressure grade quantization parameters are adopted to be combined with the object characteristic values to obtain the pressure grade according to the identification results of different fingerprint images, so that the accuracy of pressure grade detection is improved, and the performance and the user experience of pressure detection are improved.
In a concrete realization of this application, press the module and can be used for utilizing its finger to press the time gathering the fingerprint image of finger and acquire corresponding data of pressing. The compression data includes one or more of fingerprint texture data, blood flow data, and heartbeat intensity data. The fingerprint texture data can be obtained from the collected fingerprint image when the user presses the pressing module by using the finger, namely the fingerprint texture data can be embodied as the fingerprint image; the blood flow data and the heartbeat intensity data may be obtained by detecting the finger when the finger is pressed against the contact surface of the pressing module.
Specifically, when the user presses the pressing module with his finger and with different force levels, the fingerprint texture of the finger fingerprint image, the blood flow and the heartbeat intensity detected by the finger will change according to the difference of the pressing force levels of the finger, and therefore, the fingerprint texture data, the blood flow data and the heartbeat intensity data can represent the pressure information of the user pressing the pressing module with his finger, that is, the pressure information can be obtained by analyzing the characteristics of the obtained fingerprint texture, blood flow and heartbeat intensity.
The pressing module can comprise a fingerprint acquisition device and a pressure sensing device, and is used for acquiring fingerprint images and pressing data respectively.
Specifically, in an embodiment, the fingerprint collection device and the pressure sensing device may be integrally formed (as shown in fig. 2), for example, integrated in the same fingerprint sensor or fingerprint detection module; alternatively, in another embodiment, the fingerprint acquisition device and the pressure sensing device may be or be formed as two separate functional components (as shown in FIG. 3).
Fig. 2 is the hardware structure schematic diagram of the module embodiment is pressed to this application, presses fingerprint collection device and pressure sensing device in the module 20 to be integrated into one piece, presses fingerprint collection device and the pressure sensing device of module 20 accessible integration in the fingerprint image of collection and acquire corresponding data of pressing.
Fig. 3 is the hardware structure schematic diagram of another embodiment of this application pressing module, and the fingerprint collection device and the pressure sensing device that press in the module 20 are the components of a whole that can function independently and form, and wherein, fingerprint collection device 22 can be used to the fingerprint image of gathering, and pressure sensing device 23 can be used to gather acquire with the corresponding data of pressing of fingerprint image.
In this embodiment, taking the pressing data as the fingerprint image data as an example, the fingerprint image is obtained by the fingerprint acquisition device, the fingerprint image is analyzed, the feature data of the fingerprint, such as the mean value, the peak value, the ridge line deformation degree, and the like, is obtained, and the feature data is used as the pressing data.
Taking the pressing data as blood flow as an example, the pressure sensing device may be a blood flow detection device, and the blood flow detection device obtains, in real time, blood flow data when the finger is pressed with different force, where the blood flow data is not actual blood flow, but is a value proportional to the actual blood flow, and may indicate the magnitude of the actual blood flow. Blood flow volume data obtained by a blood flow volume detection device is used as the compression data.
Use press the data as the heartbeat intensity for the example, pressure-sensitive device can be pulse detection device, and pulse detection device obtains the heartbeat intensity data of the production when the finger uses different dynamics to press in real time. For example, the pulse detection device can obtain the heartbeat intensity data by a capacitance detection method, which belongs to the prior art and is not described herein again. And taking the heartbeat intensity data obtained by the pulse detection device as the pressing data.
Certainly, in the present application, the finger image may also be replaced by a toe image or other object image, and the specific implementation manner is similar, which is not described herein again.
Referring to fig. 8, the parameter obtaining module 70 includes:
a fingerprint acquisition module 71 configured to acquire the fingerprint image;
the fingerprint identification module 72 is configured to determine whether there is fingerprint image template information matching the fingerprint image in a pre-stored fingerprint image information base.
The fingerprint image information base can store fingerprint image template information of registered users in advance, and each fingerprint image template information stores a fingerprint indicating value and a pressure level quantization parameter corresponding to the fingerprint indicating value.
The fingerprint marking value comprises a value used for marking the identity of the finger of the user, such as the shape of the fingerprint, the core point, the number of the fingerprint and the like.
According to the fingerprint image of the finger, acquiring a fingerprint indicating value of the finger and inquiring fingerprint image template information in a fingerprint image information base; if the fingerprint indicating value in the fingerprint image template information is the same as the fingerprint indicating value of the acquired fingerprint image, the fingerprint image template information matched with the fingerprint image of the finger exists in the fingerprint image information base.
An information query module 73 configured to read the pressure level quantization parameter from the fingerprint image template information when there is matching fingerprint image template information.
And if the fingerprint image template information matched with the fingerprint image of the finger exists in the fingerprint image information base, reading a pressure level quantization parameter corresponding to the fingerprint image from the fingerprint image template information.
A default setting module 74 configured to set a default value as the pressure level quantization parameter when there is no matching fingerprint image template information.
And if the fingerprint image template information matched with the fingerprint image of the finger does not exist in the fingerprint image information base, setting a default value as the pressure level quantization parameter. The default value is set by one skilled in the art as required.
This embodiment is right the fingerprint image of the finger that the module was obtained is pressed discerns, according to the fingerprint image information base that prestores whether have the image template information of matching, obtains the pressure level quantization parameter that corresponds with the fingerprint image. Therefore, the present embodiment can obtain different pressure level quantization parameters according to different fingerprint images.
Referring to fig. 9, in another specific implementation of the present application, the apparatus further includes:
the feature value processing module 75 is configured to acquire object feature values of at least two sets of continuous pressing data of the registered user and the maximum variation amounts thereof with respect to the reference feature value.
Specifically, after the user completes the registration of the fingerprint template of the finger, the pressing module can be switched to a pressure detection mode, at this time, the system prompts the user to press the pressing module with the finger from light to heavy (that is, the pressing force is from small to large), and the continuous pressing data is obtained by continuously collecting the pressing data of the registered user by pressing the pressing module from light to heavy. Taking the pressing data as the fingerprint texture data as an example, the fingerprint texture data is embodied as a fingerprint image, and the fingerprint acquisition device captures the fingerprint image of the finger of the user pressed from light to heavy until the finger is lifted.
The continuous pressing data of the registered user is acquired as effective pressing data, and the pressing data is taken as fingerprint texture data as an example, that is, in a fingerprint image corresponding to the fingerprint texture data, fingerprint texture data with a pressing area larger than a certain threshold value is effective pressing data.
In the module, taking the pressing data as the fingerprint texture data as an example, the fingerprint texture data can be embodied as a fingerprint image; firstly, a continuously collected user presses the fingerprint image of the pressing module from light to heavy, and the object characteristic value of each frame of fingerprint image in the continuously collected fingerprint image is calculated to obtain the object characteristic value { x }1,x2,…,xMWhere M is the consecutive digits of acquisitionFrame number of the texture image. The object characteristic values comprise one or more of characteristic values capable of measuring the magnitude of the pressing force, such as a mean value, a peak value, a ridge deformation degree and the like.
Further, the characteristic value of the fingerprint image of the first frame of effective pressing is selected as a reference characteristic value, and the characteristic value { x ] of each frame of fingerprint image is calculated1,x2,…,xMThe absolute value of the difference value relative to the reference characteristic value, wherein the calculated maximum absolute value of the difference value is the maximum variation S of the fingerprint image relative to the reference characteristic value when the pressing force is maximum, and the calculation formula is as follows:
and the parameter processing module 76 is configured to calculate the pressure level quantization parameter according to the maximum variation and a preset pressure level value range.
Setting a value range of the pressure grade as [0, N ], a value range of the variation as [0, S ], and a mapping function from the maximum variation to the pressure grade as follows:
n＝f(s,α)
wherein N ∈ [0, N ] represents a pressure level, S ∈ ]0, S ] represents a variation of a fingerprint image feature value with respect to a reference feature value, and f (·) represents a mapping function. f (0, α) is 0, f (S, α) is N, and the pressure level quantization parameter α is obtained by calculation.
An information storage module 77 configured to save the pressure level quantization parameter as fingerprint image template information of the registered user into the fingerprint image information base.
In a specific implementation of the present application, the pressure level quantization parameter may be stored in the fingerprint image template information of the registered user according to the fingerprint indication value of the fingerprint image thereof, and may be stored in the fingerprint image information base. Since the pressure level quantization parameter is stored in the fingerprint image template information based on the fingerprint indication value of the fingerprint image, the pressure level quantization parameter has a corresponding relationship with the fingerprint indication value of the fingerprint image in the fingerprint image information base.
Referring to fig. 10, in one specific implementation of the pressure detection provided herein, the pressure obtaining module 90 includes:
a variation acquiring module 91 configured to calculate a variation of the object feature value with respect to the reference feature value.
In this embodiment, the reference feature value is an object feature value corresponding to a first set of valid compression data in the continuous compression data.
Taking the pressing data as the fingerprint texture data as an example, the fingerprint texture data may be embodied as a fingerprint image, and the reference feature value may be a fingerprint feature value x corresponding to the collected first frame of fingerprint imagebase。
Calculating the object feature value xcurrVariation s from the reference characteristic valuecurr＝|xcurr-xbase|。
A pressure calculation module 92 configured to quantize the variation into the pressure level according to the pressure level quantization parameter.
In this embodiment, the parameter α is quantified according to pressure levelcurrThe object feature value x is setcurrVariation s from the reference characteristic valuecurrQuantified as pressure class ncurr＝f(scurr,αcurr) Outputting the pressure level calculation result ncurr。
Fig. 11 is a hardware structure diagram of some electronic devices that execute the pressure detection method of the present application. As shown in fig. 11, the apparatus comprises:
one or more processors 1110 and a memory 1120, with one processor 1110 being an example in fig. 11.
The apparatus for performing the pressure detection method may further include: input devices 1130 and output devices 1130.
The processor 1110, the memory 1120, the input device 1130, and the output device 1130 may be connected by a bus or other means, and fig. 11 illustrates an example of connection by a bus.
The processor 1110 of embodiments of the present application may exist in a variety of forms, including but not limited to:
(1) chip: the chip is a carrier of an Integrated Circuit (IC), for example, a fingerprint chip, and can specifically realize fingerprint acquisition and fingerprint identification functions.
(2) Other logical machines can execute programs, such as a central processing unit in a computer.
The memory 1120, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the pressure detection methods in the embodiments of the present application. The processor 1110 executes various functional applications of the server and data processing by executing nonvolatile software programs, instructions and modules stored in the memory 1120, that is, implements the pressure detection method in the above method embodiment.
The memory 1120 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the seed pressure detecting device, and the like. Additionally, the memory 1120 may include high speed random access memory 1120, and may also include non-volatile memory 1120, such as at least one piece of disk memory 1120, flash memory devices, or other non-volatile solid state memory 1120. In some embodiments, the memory 1120 optionally includes memory 1120 located remotely from the processor 1110, and these remote memory 1120 may be connected to the medium pressure detection apparatus via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 1130 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the seed pressure detecting device. The input device 1130 may include a press module or the like.
The one or more modules are stored in the memory 1120 and, when executed by the one or more processors 1110, perform a method of pressure detection in any of the method embodiments described above.
The product can execute the method provided by the embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the methods provided in the embodiments of the present application.
The electronic device of the embodiments of the present application exists in various forms, including but not limited to:
(1) mobile communication devices, which are characterized by mobile communication capabilities and are primarily targeted at providing voice and data communications. Such terminals include smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others.
(2) The ultra-mobile personal computer equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include PDA, MID, and UMPC devices, such as ipads.
(3) Portable entertainment devices such devices may display and play multimedia content. Such devices include audio and video players (e.g., ipods), handheld game consoles, electronic books, as well as smart toys and portable car navigation devices.
(4) The server is similar to a general computer architecture, but has higher requirements on processing capability, stability, reliability, safety, expandability, manageability and the like because of the need of providing highly reliable services.
(5) And other electronic devices with data interaction functions.
The above-described embodiments of the apparatus are merely illustrative, wherein the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions and/or portions thereof that contribute to the prior art may be embodied in the form of a software product that can be stored on a computer-readable storage medium including any mechanism for storing or transmitting information in a form readable by a computer (e.g., a computer). For example, a machine-readable medium includes Read Only Memory (ROM), Random Access Memory (RAM), magnetic disk storage media, optical storage media, flash memory storage media, electrical, optical, acoustical or other form of propagated signals (e.g., carrier waves, infrared signals, digital signals, etc.), and others, and the computer software product includes instructions for causing a computing device (which may be a personal computer, server, or network device, etc.) to perform the methods described in the various embodiments or portions of the embodiments.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the embodiments of the present application, and are not limited thereto; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (16)
1. A method of pressure detection, comprising:
collecting a fingerprint image, identifying the fingerprint image, and acquiring a pressure grade quantization parameter corresponding to the fingerprint image;
analyzing the pressing data and acquiring an object characteristic value of the pressing data;
and calculating the pressure level of the finger pressing according to the pressure level quantization parameter and the object characteristic value.
2. The method of claim 1, wherein the compression data includes one or more of fingerprint texture data, blood flow data, and heartbeat intensity data.
3. The method according to claim 1, wherein the identifying the fingerprint image and obtaining the corresponding pressure level quantization parameter comprises:
judging whether fingerprint image template information matched with the fingerprint image exists in a prestored fingerprint image information base or not;
if the pressure level quantization parameter exists, reading the pressure level quantization parameter from the fingerprint image template information;
otherwise, a default value is set as the pressure level quantization parameter.
4. The method according to claim 1, wherein before acquiring the fingerprint image, identifying the fingerprint image, and obtaining the corresponding pressure level quantization parameter, the method further comprises:
acquiring object characteristic values of at least two groups of continuous pressing data of a registered user and the maximum variation of the object characteristic values relative to a reference characteristic value;
calculating the pressure grade quantization parameter according to the maximum variation and a preset pressure grade value range;
and the pressure grade quantization parameter is used as fingerprint image template information of a registered user and is stored in the fingerprint image information base.
5. The method according to claim 4, wherein the method is applied to a smart terminal with a pressing module, and the continuous pressing data is continuously collected pressing data of registered users pressing the pressing module from light to heavy.
6. The method of claim 2, wherein calculating a pressure level of the finger press based on the pressure level quantization parameter and the object feature value comprises:
calculating a variation of the object feature value with respect to a reference feature value;
and quantizing the variation into the pressure grade according to the pressure grade quantization parameter.
7. The method according to any of claims 4-6, wherein the baseline characteristic value is an object characteristic value corresponding to a first set of valid compression data of the continuous compression data.
8. A pressure detection device, comprising:
the parameter acquisition module is configured to acquire a fingerprint image, identify the fingerprint image and acquire a pressure grade quantization parameter corresponding to the fingerprint image;
the characteristic value acquisition module is configured to analyze the pressing data and acquire an object characteristic value of the pressing data;
and the pressure acquisition module is configured to calculate the pressure level of the finger pressing according to the pressure level quantization parameter and the object characteristic value.
9. The pressure detection apparatus of claim 8, the compression data comprising one or more of fingerprint texture data, blood flow data, and heartbeat intensity data.
10. The pressure detection apparatus of claim 8, the parameter acquisition module comprising:
a fingerprint acquisition module configured to acquire the fingerprint image;
the fingerprint identification module is configured to judge whether fingerprint image template information matched with the fingerprint image exists in a prestored fingerprint image information base or not;
the information inquiry module is configured to read the pressure grade quantization parameter from the fingerprint image template information when matched fingerprint image template information exists;
and the default value setting module is configured to set a default value as the pressure level quantization parameter when no matched fingerprint image template information exists.
11. The apparatus of claim 8, further comprising:
the characteristic value processing module is configured to acquire object characteristic values of at least two groups of continuous pressing data of the registered user and the maximum variation of the object characteristic values relative to a reference characteristic value;
the parameter processing module is configured to calculate the pressure grade quantitative parameter according to the maximum variation and a preset pressure grade value range;
and the information storage module is configured to store the pressure level quantization parameter as fingerprint image template information of a registered user in the fingerprint image information base.
12. The pressure detection device according to claim 11, wherein the pressure detection device is applied to a smart terminal having a pressing module, and the continuous fingerprint images are continuously collected fingerprint images of registered users pressed by the pressing module from light to heavy.
13. The pressure detection device of claim 9, wherein the pressure acquisition module comprises:
a variation acquiring module configured to calculate a variation of the object feature value with respect to a reference feature value;
a pressure calculation module configured to quantize the variation into the pressure level according to the pressure level quantization parameter.
14. A pressure detection apparatus according to any of claims 11-13, wherein the reference characteristic value is an object characteristic value corresponding to a first set of valid compression data of the consecutive compression data.
15. A non-transitory computer storage medium storing computer-executable instructions for performing the method of pressure detection of any one of claims 1-7.
16. An electronic device, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to perform a method of pressure detection as claimed in any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2016/104840 WO2018082080A1 (en) | 2016-11-07 | 2016-11-07 | Pressure detection method and device |
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| CN107077279A true CN107077279A (en) | 2017-08-18 |
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| WO (1) | WO2018082080A1 (en) |
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| CN107077279B (en) | 2020-05-19 |
| WO2018082080A1 (en) | 2018-05-11 |
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