WO2018072171A1

WO2018072171A1 - Fingerprint-based pressure measurement method and device

Info

Publication number: WO2018072171A1
Application number: PCT/CN2016/102694
Authority: WO
Inventors: 刘卫芳
Original assignee: 深圳市汇顶科技股份有限公司
Priority date: 2016-10-20
Filing date: 2016-10-20
Publication date: 2018-04-26
Also published as: CN106537415A

Abstract

A fingerprint-based pressure measurement method and device. The method, applied to a fingerprint recognition device, comprises: collecting an i-th frame fingerprint signal during a fingerprinting process, and determining a fingerprint peak-to-peak value V_i according to the i-th frame fingerprint signal, the fingerprint peak-to-peak value V_i of the i-th frame fingerprint signal being represented by a difference between the crest and the trough of the i-th frame fingerprint signal (210); and determining a pressure parameter corresponding to the i-th frame fingerprint signal according to the fingerprint peak-to-peak value V_i, the pressure parameter being used for representing the pressure magnitude, where i is a positive integer. Therefore, the fingerprint-based pressure measurement method can improve the stability and accuracy of fingerprint-based pressure measurement.

Description

Fingerprint-based pressure detecting method and device

Technical field

The present invention relates to the field of pressure detection technology, and more particularly to a fingerprint-based pressure detecting method and apparatus.

Background technique

As the fingerprint recognition function gradually becomes the standard of intelligent terminal equipment, the pressure detection function on the fingerprint identification device has become a new research direction. The fingerprint signal is used for pressure detection, and no other sensing elements are needed, and the implementation process is simple and reduces. Hardware cost.

The existing fingerprint-based pressure detection technology has poor stability and accuracy. The reason is that when the finger initially touches the fingerprint sensor, the effective pressing area is small, and the fingerprint mean value and variance are unstable, which leads to the benchmark of pressure detection. The eigenvalues are inaccurate and the pressure detection performance is poor.

Therefore, there is a need for a method that can detect pressure with higher accuracy.

Summary of the invention

Embodiments of the present invention provide a fingerprint-based pressure detecting method and apparatus thereof, which can perform pressure detection more accurately.

The first aspect provides a fingerprint-based pressure detection method, including: collecting an ith frame fingerprint signal during fingerprint pressing, and determining a fingerprint peak-to-peak value V _i according to the ith frame fingerprint signal, the ith frame fingerprint The fingerprint peak-to-peak value V _i of the signal is represented by a difference between a peak and a trough of the fingerprint signal of the ith frame; determining a pressure parameter corresponding to the fingerprint signal of the ith frame according to the peak-to-peak value V _{i of the} fingerprint, The pressure parameter is used to characterize the magnitude of the pressure, where i is a positive integer.

With reference to the first aspect, in a first possible implementation manner of the first aspect, the method further includes: determining a fingerprint reference peak-to-peak value V _base in the fingerprint pressing process; The pressure parameter corresponding to the fingerprint signal of the i-th frame includes: determining a pressure magnitude of the fingerprint signal of the ith frame according to the peak-to-peak peak value V _i of the fingerprint of the ith frame and the reference peak-to-peak value V _base .

With reference to the first aspect and the foregoing implementation manner, in a second possible implementation manner of the first aspect, the reference peak-to-peak value V _base is a fingerprint of the kth frame from a moment when the fingerprint pressing area is greater than the first threshold. Peak-to-peak value, where k is a positive integer.

With reference to the first aspect and the foregoing implementation manner, in a third possible implementation manner of the first aspect, the determining, according to the peak-to-peak value of the fingerprint, a pressure parameter corresponding to the fingerprint signal of the ith frame, including: Determining a pressure level corresponding to the fingerprint signal of the ith frame with respect to a pressure change amount S _i =|V _i -V _base | of the fingerprint peak-to-peak value V _i of the ith frame fingerprint signal with respect to the reference peak-to-peak value V _base L _i , the pressure level L _i of the ith frame fingerprint is a pressure parameter of the ith frame fingerprint signal.

With reference to the first aspect and the foregoing implementation manner, in a fourth possible implementation manner of the first aspect, the determining, according to the peak-to-peak value of the fingerprint, a pressure parameter corresponding to the fingerprint signal of the ith frame, including: The following formula determines the pressure level L _i corresponding to the fingerprint signal of the ith frame:

L _i =f(S _i ,Δ)

Where f(·) represents a mapping function from the fingerprint peak-to-peak variation S _i to the pressure level L _i , and Δ is a pressure level quantization parameter corresponding to the fingerprint recognition device.

With reference to the first aspect and the foregoing implementation manner, in a fifth possible implementation manner of the first aspect, the pressure level quantization parameter Δ is adjusted according to a fingerprint texture period of the ith frame, where the fingerprint texture is The larger the period, the smaller the pressure level quantization parameter.

With reference to the first aspect and the foregoing implementation manner, in a sixth possible implementation manner of the first aspect, the fingerprint pressing area is greater than a second threshold when the fingerprint signal of the ith frame is collected during fingerprint pressing.

Therefore, the embodiment of the invention can implement the pressure detection function on the terminal device with the fingerprint recognition function, measure the magnitude of the finger pressing force through the fingerprint data, does not need to add other sensing elements, saves the hardware cost, and optimizes the selection of the pressure detection reference value. The method improves the stability of the pressure detection function, dynamically adjusts the threshold of the pressure detection according to the fingerprint texture period, and improves the applicability of the pressure detection function to different users.

A second aspect provides a fingerprint identification apparatus including a receiver, a memory, and a processor; the receiver collects a fingerprint signal during a finger press; the memory is configured to store an instruction; the processor and the memory and the receiver Connected to the instructions for executing the memory to be executed when the instructions are executed, wherein the transceiver, the memory and the processor are connected by the bus system, the memory is for storing instructions, the processing The instructions for executing the memory store to control the transceiver to receive and/or transmit signals, and when the processor executes the memory stored instructions, the execution causes the processor to perform any of the first aspect or the first aspect The method in the implementation.

In a third aspect, a fingerprint-based pressure detecting device is provided, including:

The acquiring unit is configured to collect an ith frame fingerprint signal during fingerprint pressing, and calculate a fingerprint peak-to-peak value V _i according to the ith frame fingerprint signal, where the fingerprint peak-to-peak value V _{i of} the ith frame fingerprint signal is Characterization of the difference between the peaks and troughs of the i-frame fingerprint signal;

a determining unit, configured to determine, according to the fingerprint peak-to-peak value V _i , a pressure parameter corresponding to the ith frame fingerprint signal, where the pressure parameter is used to represent a pressure magnitude, where i is a positive integer.

In a fourth aspect, a computer readable medium is provided for storing a computer program comprising instructions for performing the method of the first aspect or any of the possible implementations of the first aspect.

DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings to be used in the embodiments of the present invention will be briefly described below. It is obvious that the drawings described below are only some embodiments of the present invention, Those skilled in the art can also obtain other drawings based on these drawings without paying any creative work.

Fig. 1 is a schematic view showing a pressure detecting device applied to a terminal device according to an embodiment of the present invention.

FIG. 2 shows a schematic flow chart of a fingerprint-based pressure detecting method according to an embodiment of the present invention.

Figure 3 is a schematic illustration of the ridge line of a finger print of one embodiment of the present invention.

4 is a schematic flow chart showing a method of fingerprint-based pressure detection according to another embodiment of the present invention.

Fig. 5 is a view showing a schematic configuration of a fingerprint-based pressure detecting device according to an embodiment of the present invention.

Fig. 6 is a view showing a schematic configuration of a fingerprint recognition apparatus according to an embodiment of the present invention.

detailed description

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of the present invention.

Fig. 1 is a schematic view showing a pressure detecting device of a terminal device according to an embodiment of the present invention. As shown in a of FIG. 1, the pressure detecting device may be located on the front side of the terminal device, specifically, in an implementation. In an example, the pressure detecting device can be disposed on the front side of the terminal device and spaced apart from the display area of the terminal device. For example, the pressure detecting device can be located on the front side of the terminal device and close to the bottom edge (as shown in FIG. 1(a). As shown in the above, and through the front main glass cover of the terminal device for boring or under the glass cover; alternatively, the pressure detecting device can also be arranged inside the display area of the terminal device, such as The underside of the control panel is covered by at least part of the touch panel. Alternatively, the pressure detecting device may be located at the back of the terminal device as shown in b of the figure.

It should be understood that the device for detecting pressure in the embodiment of the present invention may be a fingerprint sensor. The fingerprint sensor of the present invention includes a capacitive type, an inductive type, a varistor type, and an ultrasonic type, which are not limited in the present invention. It should also be understood that the apparatus and method for pressure detection can be applied to various electronic devices, for example, to mobile terminals such as mobile phones and tablet computers.

FIG. 2 illustrates a fingerprint-based pressure detection method according to an embodiment of the present invention, and the main execution body of the method may be a fingerprint sensor on a terminal device. As shown in Figure 2, the method includes:

Step 210, collecting the i-th frame fingerprints signal fingerprint pressing process, and determines a fingerprint peak V _i The i-th frame fingerprint signal, a fingerprint peak i-th frame fingerprint signal V _i by the peak and trough the i-th frame of a fingerprint signal of Characterization of the difference between.

Step 220: Determine, according to the peak-to-peak value of the fingerprint V _i , a pressure parameter corresponding to the fingerprint signal of the ith frame, where the pressure parameter is used to represent the pressure magnitude, where i is a positive integer.

Specifically, when the fingerprint sensor detects that the finger is pressed on the fingerprint sensor, the detected fingerprint data is continuously collected until the finger is detected to leave the fingerprint detector.

Specifically, the fingerprint peak-to-peak value of the ith frame fingerprint signal refers to the difference between the collected peaks and valleys of the fingerprint signal. The calculation method is: searching for the adjacent peak and trough signal values in the range of N×N centered on each data point, and the difference between the peak signal value and the trough signal value is the i-th frame fingerprint signal at the data point. Fingerprint peak-to-peak value; further, the average value of the fingerprint peak-to-peak value of all the data points in the fingerprint signal of the i-th frame is calculated, and the result of the average value is the fingerprint peak-to-peak value V _{i of the} fingerprint signal of the i-th frame.

Specifically, the fingerprint sensor collects data from the time the finger is pressed to the time the finger is lifted, and the number of frames collected by one press is related to the pressing time and the collection speed of the fingerprint collection device, for example, one second pressing, the fingerprint collection device The acquisition speed is Q frame/second, and this time, a total of t*Q frame data is collected.

In step 220, based on the fingerprint peak-to-peak value V _i , the pressure parameter characterizing the fingerprint signal of the ith frame can be determined, and the pressure magnitude corresponding to the finger pair corresponding to the fingerprint signal of the ith frame can be characterized.

Embodiments of the present invention provide a pressure detecting method based on a peak-to-peak characteristic of a fingerprint, which can improve stability and accuracy based on fingerprint pressure detection.

Optionally, as an embodiment of the present invention, the method further includes: determining a fingerprint reference peak-to-peak value V _base during the fingerprint pressing process; the step 220: determining the ith frame fingerprint signal according to a peak-to-peak value of the fingerprint The corresponding pressure parameter may include: determining a pressure magnitude of the ith frame fingerprint signal according to the fingerprint peak-to-peak value V _{i of} the ith frame fingerprint and the reference peak-to-peak value V _base .

Figure 3 shows a schematic view of the ridge line of a finger print. As shown in the figure a in Figure 3, due to the presence of fingerprint ridges and fingerprint valleys of the fingerprint of the finger, the fingerprint signal that the fingerprint sensor will detect can also reflect the fingerprint ridge and the fingerprint valley, and the adjacent fingerprint ridge signal and fingerprint valley. The difference between the signals is the peak-to-peak value of the above fingerprint, and the fingerprint texture period refers to the distance from the fingerprint ridge to the next fingerprint ridge (or from the fingerprint valley to the next fingerprint valley).

During the pressure detection process, the magnitude of the pressure represented by the ith frame fingerprint signal is determined by the fingerprint peak-to-peak value V _{i of} the ith frame fingerprint and the reference peak-to-peak value V _base , wherein the reference peak-to-peak value is the reference data value as the pressure detection. The reference peak-to-peak value is determined by the fingerprint signal acquired during finger pressing of the fingerprint sensor.

Optionally, as an embodiment of the present invention, when the fingerprint signal of the ith frame is collected during fingerprint pressing, the fingerprint pressing area is greater than a second threshold.

The existing pressure detection technology based on fingerprint data uses the first frame fingerprint compression data collected by the fingerprint sensor as the starting data of the pressure detection. The disadvantage of this method is that when the finger initially touches the fingerprint sensor, the effective pressing area is small, and the fingerprint is small. The characteristics such as number average and variance are unstable, which leads to inaccurate reference characteristic values of pressure detection and poor pressure detection performance.

In the embodiment of the present invention, during the fingerprint pressing process, the collected fingerprint data is subjected to effective pressing area segmentation to calculate the effective pressing area; when the effective pressing area is less than or equal to the second threshold T ₂ , the mean value, peak-to-peak value, etc. of the fingerprint data are The feature is unstable, the pressure detection is not performed, and the collected fingerprint data is discarded; when the effective pressing area is greater than the second threshold T ₂ , the pressure detection is performed.

For example, the total area of fingerprint data per frame is Atotal, and the area of the effective pressing area is Avalid, then T ₂ =Avalid/Atotal*100%.

Therefore, when the fingerprint pressing area is greater than the second threshold and the fingerprint signal of the ith frame is collected during the fingerprint pressing process, the mean value, peak-to-peak value and the like of the fingerprint data are relatively stable, so that the fingerprint detection method is stable. The accuracy and stability of the pressure detection at this time will increase.

Optionally, as an embodiment of the present invention, the reference peak-to-peak value is a fingerprint peak-to-peak value of a kth frame from a moment when the fingerprint pressing area is greater than a first threshold, where k is a positive integer.

That is, during each finger press, the k-th frame fingerprint data whose effective pressing area is larger than the first threshold T ₁ is selected as the reference data of the current pressing, and the peak-to-peak value of the reference data is calculated as the reference peak-to-peak value V of the pressure detection. _Base . It should be understood that the reference data can be reselected every time the finger is pressed.

During the process of pressing the fingerprint sensor by the finger, the fingerprint sensor collects a series of consecutive fingerprint data, and determining the peak-to-peak value of the reference is to determine from which frame the pressure detection is started.

For example, when k = 1, may be selected finger effective pressing area is greater than a first threshold value T frame first fingerprint data ₁ as the present reference data compressions, is calculated peak reference data as the reference peak value V _base detected pressure.

Optionally, in a specific embodiment, the first threshold T ₁ and the second threshold T ₂ may be equal.

Since each finger press may be a different finger, there may be a difference in the peak-to-peak value of the fingerprints of different fingers. Therefore, by selecting the k-th frame fingerprint data whose effective pressing area is greater than the first threshold T ₁ at each press as the reference for this pressing Data, calculating the peak-to-peak value of the reference data as the reference peak-to-peak value V _base of the pressure detection, can improve the applicability of the pressure detection function to different users, and improve the user experience of the pressure detection function.

Optionally, as an embodiment of the present invention, the step 220: determining, according to the peak-to-peak value of the fingerprint, the pressure parameter corresponding to the fingerprint signal of the ith frame, may include: fingerprint according to the fingerprint signal of the ith frame _i V peak to peak pressure with respect to the reference peak value V _base change amount _{_{_{S i = | V i -V base}}} |, determining a fingerprint of the i-th frame corresponding to the signal pressure level L _i, the i-th frame fingerprints The pressure level L _i is the pressure parameter of the fingerprint signal of the ith frame.

The peak-to-peak value of the reference is the initial peak-to-peak value of the fingerprint when the finger is initially in contact with the fingerprint sensor and the pressing force is small. As the pressure increases, the peak-to-peak value of the fingerprint changes. According to the difference between the initial peak-to-peak value and the current peak-to-peak value. Then, the amount of change in peak-to-peak value with pressure can be calculated and further quantified as a pressure level.

Optionally, as an embodiment of the present invention, the step 220: determining the pressure parameter corresponding to the fingerprint signal of the ith frame according to the peak-to-peak value of the fingerprint may include: determining the ith frame according to the following formula: The pressure level corresponding to the fingerprint signal L _i :

L _i =f(S _i ,Δ)

Where f(·) represents a mapping function from the fingerprint peak-to-peak variation S _i to the pressure level L _i , and Δ is a pressure level quantization parameter corresponding to the fingerprint recognition device, and the mapping function f(·), that is, The relationship between the pressure level change parameter Δ and the pressure level L _i , and the fingerprint peak-to-peak variation S _i can be as follows:

For example, when f(·) is defined as a linear function, the pressure level is calculated as:

It should be understood that the pressure level calculation formula in the embodiment of the present invention is f(·) of the mapping function, and the specific function definition may be linear or non-linear, and the invention is not limited.

Optionally, as an embodiment of the present invention, the pressure level quantization parameter Δ is adjusted according to a fingerprint texture period of the ith frame, wherein the fingerprint texture period is larger, and the pressure level quantization parameter is smaller.

The fingerprint texture period is described in the embodiment of Figure 3. The fingerprint texture period refers to the distance from the fingerprint ridgeline to the next fingerprint ridgeline (or from the fingerprint valleyline to the next fingerprint valleyline).

That is to say, under the same pressing force, the fingerprint texture period is larger, the deformation degree of the fingerprint ridge line is smaller, and the variation of the peak-to-peak value of the fingerprint with the pressing force is smaller. The invention adjusts the pressure level according to the texture period of the fingerprint. Parameter Δ. For example, the high and low two-level quantization parameters are set to Δ _H and Δ _L , Δ _H > Δ _L , and when the fingerprint texture period is greater than the threshold T ₁ , the quantization parameter Δ=Δ _L , when the fingerprint texture period is less than or equal to the threshold T ₁ At the time, the quantization parameter Δ = Δ _H .

FIG. 4 shows a schematic flow chart of a fingerprint-based pressure detecting method according to another embodiment of the present invention. As shown in FIG. 4, the execution body of the method may be a fingerprint sensor. As shown in Figure 4, this step includes:

In step 401, a fingerprint signal during finger pressing is collected.

Step 402: Acquire a pressure detection reference peak-to-peak value according to the collected fingerprint signal.

Specifically, during the one-touch press, the k-th frame fingerprint data whose effective pressing area is larger than the first threshold T ₁ is selected as the reference data of the current pressing, and the peak-to-peak value of the reference data is calculated as the reference peak-to-peak value V _{base of the} pressure detection. It should be understood that during the process of pressing the fingerprint sensor by the finger, the fingerprint sensor collects a series of continuous fingerprint data, and determining the reference peak-to-peak value is determining which frame to start the pressure detection.

Step 403, modulating the quantization parameter of the pressure level according to the collected fingerprint texture period.

Specifically, for example, the high and low two-level quantization parameters are respectively set to Δ _H and Δ _L , Δ _H >Δ _L , and when the fingerprint texture period is greater than the threshold T ₁ , the quantization parameter Δ=Δ _L , when the fingerprint texture period is less than or equal to At the threshold T ₁ , the quantization parameter Δ = Δ _H .

Step 404: Calculate the amount of change in the peak-to-peak value of the fingerprint relative to the reference peak-to-peak value during finger pressing.

Specifically, the pressure variation amount S _i =|V _i -V _base | of the fingerprint peak-to-peak value V _i of the i-th frame fingerprint signal with respect to the reference peak-to-peak value V _base .

Step 405: Calculate the pressure level according to the amount of change in the peak-to-peak value of the fingerprint.

Specifically, the pressure level L _i corresponding to the fingerprint signal of the ith frame is determined according to the following formula:

In step 406, the pressure level L _{i is} output.

The above-described embodiment described in conjunction with FIGS. 1 through 4 describes a fingerprint-based pressure detecting method in detail, and an apparatus for fingerprint recognition will be described below with reference to FIGS. 5 and 6.

Fig. 5 is a block diagram showing the structure of a fingerprint-based pressure detecting device according to an embodiment of the present invention. It should be understood that the fingerprint-based pressure detecting device 500 can perform the various steps of the pressure detecting in FIGS. 1 to 4. To avoid repetition, only the main functions of the functional modules of the fingerprint-based pressure detecting device 500 will be briefly described herein. For the specific function implementation of the function module, reference may be made to the specific description of the fingerprint-based pressure detection method described above. As shown in FIG. 5, the fingerprint-based pressure detecting device 500 includes:

The collecting unit 510 is configured to collect an ith frame fingerprint signal during fingerprint pressing, and determine a fingerprint peak-to-peak value V _i according to the ith frame fingerprint signal, and a fingerprint peak-to-peak value V of the ith frame fingerprint signal _i is characterized by the difference between the peak and the trough of the fingerprint signal of the ith frame.

The determining unit 520 determines, according to the fingerprint peak-to-peak value V _i , a pressure parameter corresponding to the fingerprint signal of the ith frame, where the pressure parameter is used to represent a pressure magnitude, where i is a positive integer.

Fig. 6 is a block diagram showing the structure of a fingerprint recognition apparatus according to an embodiment of the present invention. It should be understood that the fingerprint recognition device 600 is capable of performing the various steps of the pressure detection of FIGS. 1 through 4. As shown in FIG. 6, the apparatus 600 includes:

a receiver 601, a memory 602, and a processor 603; the receiver is configured to collect a fingerprint signal during a finger press; the memory is configured to store an instruction; and the processor is separately connected to the memory and the receiver for executing The instructions stored in the memory to perform the following steps when executing the instructions:

And acquiring, by the receiver, a fingerprint signal of an ith frame in a fingerprint pressing process, and determining a peak-to-peak peak value V _i of the fingerprint according to the fingerprint signal of the ith frame, wherein a fingerprint peak-to-peak value of the fingerprint signal of the ith frame is encoded by the ith frame Characterization of the difference between the peaks and troughs of the signal;

And determining, by the processor, a pressure parameter corresponding to the fingerprint signal of the ith frame according to the peak-to-peak peak value V _{i of the} fingerprint, where the pressure parameter is used to represent a pressure magnitude.

Optionally, as an embodiment of the present invention, the processor 603 is further configured to: determine a fingerprint reference peak-to-peak value V _base in the fingerprint pressing process; according to the fingerprint peak-to-peak value V _i and the fingerprint of the ith frame fingerprint The reference peak-to-peak value V _{base is used} to determine the magnitude of the pressure characterized by the ith frame fingerprint signal.

Optionally, as an embodiment of the present invention, the reference peak-to-peak value V _base is a fingerprint peak-to-peak value of a k-th frame from a time when the fingerprint pressing area is greater than a first threshold, where k is a positive integer.

Optionally, as an embodiment of the present invention, the processor 603 is specifically configured to:

Determining a pressure corresponding to the fingerprint signal of the ith frame according to a pressure variation amount S _i =|V _i -V _base | of the fingerprint peak-to-peak value V _i of the ith frame fingerprint signal with respect to the reference peak-to-peak value V _base Level L _i , the pressure level L _i of the ith frame fingerprint is a pressure parameter of the ith frame fingerprint signal.

Determining a pressure level L _i corresponding to the fingerprint signal of the ith frame according to the following formula:

L ₁ =f(S _i ,Δ)

Where f(·) represents a mapping function from the pressure change amount S _i to the pressure level L _i , and Δ is a pressure level quantization parameter corresponding to the device.

Optionally, as an embodiment of the present invention, the processor 603 is further configured to:

The pressure level quantization parameter Δ is adjusted according to a fingerprint texture period of the ith frame, wherein the larger the fingerprint texture period, the smaller the pressure level quantization parameter.

Optionally, as an embodiment of the present invention, the receiver 601 is configured to collect the ith frame fingerprint signal during fingerprint pressing during a fingerprint pressing area greater than a second threshold.

It should be understood that, in the embodiment of the present invention, the processor of the foregoing device may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSPs), and application specific integrated circuits. (ASIC), Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor or any conventional processor or the like.

In the implementation process, each step of the above method may be completed by an integrated logic circuit of hardware in a processor or an instruction in a form of software. The steps of the method disclosed in the embodiments of the present invention may be directly implemented as hardware processor execution completion, or performed by a combination of hardware and software units in the processor. The software unit can be located in a conventional storage medium such as random access memory, flash memory, read only memory, programmable read only memory or electrically erasable programmable memory, registers, and the like. The storage medium is located in a memory, and the processor executes instructions in the memory, in combination with hardware to perform the steps of the above method. To avoid repetition, it will not be described in detail here.

Those skilled in the art will appreciate that the various method steps and elements described in connection with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both, in order to clearly illustrate hardware and software. Interchangeability, the steps and composition of the various embodiments have been generally described in terms of function in the foregoing description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. Different methods may be used to implement the described functionality for each particular application, but such implementation should not be considered to be beyond the scope of the present invention.

A person skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working process of the system, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, or an electrical, mechanical or other form of connection.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the embodiments of the present invention.

The term "and/or" in this context is merely an association describing the associated object, indicating that there may be three relationships, for example, A and / or B, which may indicate that A exists separately, and both A and B exist, respectively. B these three situations. In addition, the character "/" in this article generally indicates that the contextual object is an "or" relationship.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention contributes in essence or to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium. A number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: a USB flash drive, a mobile hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a disk or a CD. A variety of media that can store program code.

The above is only the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any equivalent person can be easily conceived within the technical scope of the present invention by any person skilled in the art. Modifications or substitutions are intended to be included within the scope of the invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

A fingerprint-based pressure detecting method, comprising:

Fingerprint Acquisition i-th frame during the pressing fingerprint signal, and to determine a fingerprint peak V i based on the i-th frame signal fingerprints, fingerprint peak value V i of the i-th frame by the fingerprint signal i-th frame fingerprint signal peaks Characterization of the difference from the trough;

Determining, according to the fingerprint peak-to-peak value V i , a pressure parameter corresponding to the fingerprint signal of the ith frame, wherein the pressure parameter is used to represent a pressure magnitude, where i is a positive integer.
The method of claim 1 further comprising:

Determining a fingerprint reference peak-to-peak value V base during the fingerprint pressing process;

The determining, according to the peak-to-peak value of the fingerprint, the pressure parameter corresponding to the fingerprint signal of the ith frame, including:

And determining, according to the fingerprint peak-to-peak value V i of the ith frame fingerprint and the reference peak-to-peak value V base , the magnitude of the pressure characterized by the ith frame fingerprint signal.
The method according to claim 2, wherein the reference peak-to-peak value V base is a fingerprint peak-to-peak value of a kth frame from a time when the fingerprint pressing area is greater than a first threshold, wherein k is a positive integer.
The method according to claim 2 or 3, wherein the determining the pressure parameter corresponding to the fingerprint signal of the ith frame according to the peak-to-peak value of the fingerprint comprises:

Determining a pressure corresponding to the fingerprint signal of the ith frame according to a pressure variation amount S i =|V i -V base | of the fingerprint peak-to-peak value V i of the ith frame fingerprint signal with respect to the reference peak-to-peak value V base Level L i , the pressure level L i of the ith frame fingerprint is a pressure parameter of the ith frame fingerprint signal.
The method according to claim 4, wherein the determining a pressure parameter corresponding to the fingerprint signal of the ith frame according to the peak-to-peak value of the fingerprint comprises:

Determining a pressure level L i corresponding to the fingerprint signal of the ith frame according to the following formula:

L i =f(S i ,Δ)

Where f(·) represents a mapping function from the fingerprint peak-to-peak variation S i to the pressure level L i , and Δ is a pressure level quantization parameter corresponding to the fingerprint recognition device.
The method according to claim 5, wherein the pressure level quantization parameter Δ is adjusted according to a fingerprint texture period of the ith frame, wherein the larger the fingerprint texture period, the more the pressure level quantization parameter small.
Method according to any one of claims 1 to 6, characterized in that the acquisition finger When the fingerprint signal of the ith frame is pressed during the pressing, the fingerprint pressing area is greater than the second threshold.
A fingerprint identification device, comprising: a receiver, a memory and a processor; the receiver is configured to collect a fingerprint signal during a finger press; the memory is used to store an instruction; the processor and the memory and the receiver Connected separately to execute the instructions stored by the memory to perform the following steps when executing the instructions:

And acquiring, by the receiver, a fingerprint signal of an ith frame in a fingerprint pressing process, and determining a peak-to-peak peak value V i of the fingerprint according to the fingerprint signal of the ith frame, wherein a fingerprint peak-to-peak value of the fingerprint signal of the ith frame is encoded by the ith frame Characterization of the difference between the peaks and troughs of the signal;

And determining, by the processor, a pressure parameter corresponding to the fingerprint signal of the ith frame according to the peak-to-peak peak value V i of the fingerprint, where the pressure parameter is used to represent a pressure magnitude.
The device according to claim 8, wherein the processor is further configured to:

Determining a fingerprint reference peak-to-peak value V base during the fingerprint pressing process;

And determining, according to the fingerprint peak-to-peak value V i of the ith frame fingerprint and the reference peak-to-peak value V base , the magnitude of the pressure characterized by the ith frame fingerprint signal.
The apparatus according to claim 9, wherein said reference peak-to-peak value V base is a fingerprint peak-to-peak value of a k-th frame from a time when said fingerprint pressing area is greater than a first threshold, wherein k is a positive integer.
The device according to claim 9 or 10, wherein the processor is specifically configured to:

Determining a pressure corresponding to the fingerprint signal of the ith frame according to a pressure variation amount S i =|V i -V base | of the fingerprint peak-to-peak value V i of the ith frame fingerprint signal with respect to the reference peak-to-peak value V base Level L i , the pressure level L i of the ith frame fingerprint is a pressure parameter of the ith frame fingerprint signal.
The device according to claim 11, wherein the processor is specifically configured to:

Determining a pressure level L i corresponding to the fingerprint signal of the ith frame according to the following formula:

L i =f(S i ,Δ)

Where f(·) represents a mapping function from the pressure change amount S i to the pressure level L i , and Δ is a pressure level quantization parameter corresponding to the device.
The apparatus of claim 12 wherein said processing is further for:

The pressure level quantization parameter Δ is adjusted according to a fingerprint texture period of the ith frame, wherein the larger the fingerprint texture period, the smaller the pressure level quantization parameter.
Apparatus according to any one of claims 8 to 13 wherein said The receiver is configured to collect the fingerprint signal of the ith frame during the fingerprint pressing process when the fingerprint pressing area is greater than the second threshold.
A fingerprint-based pressure detecting device, comprising:

The acquiring unit is configured to collect an ith frame fingerprint signal during fingerprint pressing, and calculate a fingerprint peak-to-peak value V i according to the ith frame fingerprint signal, where the fingerprint peak-to-peak value V i of the ith frame fingerprint signal is Characterization of the difference between the peaks and troughs of the i-frame fingerprint signal;

a determining unit, configured to determine, according to the fingerprint peak-to-peak value V i , a pressure parameter corresponding to the ith frame fingerprint signal, where the pressure parameter is used to represent a pressure magnitude, where i is a positive integer.