WO2022052071A1

WO2022052071A1 - Apparatus and method for detecting dryness of finger, and electronic device

Info

Publication number: WO2022052071A1
Application number: PCT/CN2020/114903
Authority: WO
Inventors: 杨小强; 叶川; 青小刚; 张珂
Original assignee: 深圳市汇顶科技股份有限公司
Priority date: 2020-09-11
Filing date: 2020-09-11
Publication date: 2022-03-17
Also published as: CN113168534A

Abstract

An apparatus (100) and a method for detecting the dryness of a finger, and an electronic device (200), the apparatus (100) comprising: an optical fingerprint module (110) used for receiving reflected light formed by irradiating a finger to produce reflection in order to acquire a first fingerprint image, the first fingerprint image being used for acquiring a current dryness value corresponding to the first fingerprint image in order to determine the level of dryness of the finger. The present apparatus (100) and method and electronic device (200) can implement detection of the dryness of a finger without adding additional hardware costs.

Description

Device, method and electronic device for detecting dryness and humidity of fingers

technical field

The embodiments of the present application relate to the technical field of fingerprint identification, and more particularly, to an apparatus, method and electronic device for detecting the dryness and humidity of a finger.

Background technique

The method of measuring skin dryness and humidity on the market is to use special hardware equipment to calibrate the water content of human skin by measuring the resistivity or dielectric constant of the skin.

For current electronic devices, how to detect the dryness and humidity of fingers without increasing additional hardware costs is a problem that needs to be solved.

SUMMARY OF THE INVENTION

The embodiments of the present application provide an apparatus, method and electronic device for detecting the dryness and humidity of fingers, which can realize the detection of dryness and humidity of fingers without increasing additional hardware cost.

In a first aspect, there is provided a device for detecting the dryness and humidity of a finger, the device comprising: an optical fingerprint module for receiving the reflected light formed by the reflection of light irradiating the finger to obtain a first fingerprint image, the first fingerprint image It is used to obtain the current dry humidity value corresponding to the first fingerprint image to determine the dry humidity level of the finger.

In some possible implementations, the apparatus further includes: a processor configured to acquire the current dryness and humidity value according to the first fingerprint image, and determine the dryness and humidity level of the finger according to the current dryness and humidity value.

In some possible implementations, the processor acquiring the current dryness and humidity value according to the first fingerprint image includes: acquiring a gradient value and/or a reflected light intensity value of the first fingerprint image according to the first fingerprint image ; According to the gradient value and/or the reflected light intensity value, determine the current dry humidity value.

In some possible implementations, the processor determines the current dry humidity value according to the gradient value and the reflected light intensity value, including: determining the calculation result of (w1*A+w2*B) as the current dry humidity value, where A is the gradient value, B is the reflected light intensity value, w1 is the weight of the gradient value, w2 is the weight of the reflected light intensity value, w1+w2=1 and neither w1 nor w2 is 0.

In some possible implementations, w1 is greater than w2.

In some possible implementations, the processor determines the dryness and humidity level of the finger according to the current dryness and humidity value, including: determining the dryness and humidity level of the finger according to the relationship between the current dryness and humidity value and at least one threshold, the At least one threshold is determined based on historical dry and wet values.

In some possible implementations, the processor is further configured to: obtain a dry and wet histogram according to dry and wet values corresponding to multiple historical fingerprint images, where the dry and wet histogram includes a plurality of histograms, and the plurality of histograms It is used to represent the corresponding relationship between the dryness and humidity values and the number of fingerprint images; the at least one threshold is determined according to the dryness and humidity histogram.

In some possible implementations, the at least one threshold includes a first threshold, and the processor determines the at least one threshold according to the dryness and humidity histogram, including: traversing the dryness and humidity histogram from left to right, and converting the first The dry-humidity value at the inflection point is determined as the first threshold, wherein the number of fingerprint images represented by the histogram on the left side of the first inflection point is decreasing, and the number of fingerprint images represented by the histogram on the right side of the first inflection point is increasing. .

In some possible implementations, the processor determines the dryness level of the finger according to the relationship between the current dryness value and at least one threshold, including: if the current dryness value is less than or equal to the first threshold, determining the The dry humidity level of the finger is the dry finger level; or if the current dry humidity value is greater than the first threshold, the dry humidity level of the finger is determined to be the wet finger level.

In some possible implementations, the processor is further configured to: determine the dryness and humidity score of the finger according to the dryness and humidity interval corresponding to the dryness and humidity level of the finger.

In some possible implementations, the processor is further configured to: store the dryness and humidity score of the finger in a dryness and humidity report, where the dryness and humidity report includes a plurality of historical dryness and humidity scores.

In some possible implementations, the processor acquires the gradient value of the first fingerprint image according to the first fingerprint image, including: performing gradients in the horizontal direction and the vertical direction on the first fingerprint image after low-pass filtering operation to obtain the gradient value.

In a second aspect, a method for detecting the dryness and humidity of a finger is provided, the method comprising: obtaining a current dryness and humidity value corresponding to the first fingerprint image according to a first fingerprint image, where the first fingerprint image is reflected by light irradiating the finger The fingerprint image obtained by the formed reflected light; the dry humidity level of the finger is determined according to the current dry humidity value.

In some possible implementation manners, the obtaining, according to the first fingerprint image, the current dry humidity value corresponding to the first fingerprint image includes: obtaining, according to the first fingerprint image, a gradient value of the first fingerprint image and/or The reflected light intensity value; the current dry humidity value is determined according to the gradient value and/or the reflected light intensity value.

In some possible implementations, determining the current dry humidity value according to the gradient value and the reflected light intensity value includes: determining a calculation result of (w1*A+w2*B) as the current dry humidity value, Wherein, A is the gradient value, B is the reflected light intensity value, w1 is the weight of the gradient value, w2 is the weight of the reflected light intensity value, w1+w2=1 and neither w1 nor w2 is 0.

In some possible implementations, w1 is greater than w2.

In some possible implementations, the determining the dryness and humidity level of the finger according to the current dryness and humidity value includes: determining the dryness and humidity level of the finger according to the relationship between the current dryness and humidity value and at least one threshold, the at least one The threshold is determined based on historical dry and wet values.

In some possible implementations, the method further includes: obtaining a dry and wet histogram according to dry and wet values corresponding to multiple historical fingerprint images, where the dry and wet histogram includes a plurality of histograms, and the plurality of histograms are used for Indicates the corresponding relationship between the dryness and humidity values and the number of fingerprint images; and determines the at least one threshold value according to the dryness and humidity histogram.

In some possible implementations, the at least one threshold includes a first threshold, and determining the at least one threshold according to the dryness and humidity histogram includes: traversing the dryness and humidity histogram from left to right, and placing the first inflection point at the dryness and humidity histogram. The dry humidity value of is determined as the first threshold, wherein the number of fingerprint images represented by the histogram on the left side of the first inflection point is decreasing, and the number of fingerprint images represented by the histogram on the right side of the first inflection point is increasing.

In some possible implementations, determining the dryness level of the finger according to the relationship between the current dryness value and at least one threshold value includes: if the current dryness value is less than or equal to the first threshold, determining the finger's dryness level The dry humidity level is a dry finger level; or if the current dry humidity value is greater than the first threshold, the dry humidity level of the finger is determined to be a wet finger level.

In some possible implementations, the method further includes: determining a dryness and humidity score of the finger according to a dryness and humidity interval corresponding to the current dryness and humidity level.

In some possible implementations, the method further includes: adding the dryness and humidity score of the finger to a dryness and humidity report, where the dryness and humidity report includes a plurality of historical dryness and humidity scores.

In some possible implementation manners, acquiring the gradient value corresponding to the first fingerprint image according to the first fingerprint image includes: performing a gradient operation in a horizontal direction and a vertical direction on the first fingerprint image after low-pass filtering , to get the gradient value.

In a second aspect, an electronic device is provided, including: the device for detecting the dryness and humidity of a finger as in the first aspect or any possible implementation manner of the first aspect.

In some possible implementations, the electronic device further includes: a display screen, and an optical fingerprint module in the device for detecting the dryness and humidity of a finger is arranged below the display screen.

Description of drawings

FIG. 1 is a schematic block diagram of an apparatus for detecting dryness and humidity of a finger provided by an embodiment of the present application.

FIG. 2 is another schematic block diagram of an apparatus for detecting dryness and humidity of a finger provided by an embodiment of the present application.

FIG. 3 is a schematic diagram of fingerprint image lines corresponding to fingers with different degrees of dryness and wetness.

FIG. 4 and FIG. 5 are schematic diagrams of the optical paths of wet finger and dry finger imaging based on reflected light, respectively.

FIG. 6 is a schematic diagram of a dry-humidity histogram in an embodiment of the present application.

FIG. 7 and FIG. 8 are schematic diagrams of a dry and humidity report provided by an embodiment of the present application, respectively.

FIG. 9 is a flowchart of a technical solution for detecting the dryness and humidity of a finger provided by an embodiment of the present application.

10A is an oriented view of an electronic device according to an embodiment of the present application.

Fig. 10B is a schematic diagram of a partial cross-sectional structure of the electronic device shown in Fig. 10A along A-A'.

FIG. 11 is a schematic block diagram of a method for detecting dryness and humidity of a finger provided by an embodiment of the present application.

detailed description

The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings.

At present, the method of measuring skin dryness and humidity on the market is to calibrate the water content of human skin by measuring the resistivity or dielectric constant of the skin. For current electronic devices, additional hardware may be required to detect skin dryness and humidity.

The embodiments of the present application provide a solution for detecting the dryness and humidity of fingers, which can be implemented by utilizing the hardware conditions of existing electronic devices, which is helpful for users to know their own skin conditions.

FIG. 1 shows a schematic block diagram of an apparatus 100 for detecting dryness and humidity of a finger provided by an embodiment of the present application. As shown in FIG. 1, the apparatus 100 may include:

The optical fingerprint module 110 is used to receive the reflected light formed by the reflection of the light irradiating the finger to obtain a first fingerprint image, and the first fingerprint image is used to obtain the current dry humidity value corresponding to the first fingerprint image, so as to obtain a first fingerprint image. Determine the dryness level of the finger.

In this embodiment of the present application, the dryness and humidity levels may be classified according to the dryness and wetness of fingers, for example, extremely dry finger levels, normal dry finger levels, normal wet finger levels, and extremely wet finger levels. It can also be roughly divided into two grades: dry finger grade and wet finger grade. Or it can be divided into more levels.

The dryness and humidity level of the finger in the embodiment of the present application can be determined by the fingerprint image obtained by the optical fingerprint identification module, so that the detection of the dryness and humidity of the finger can be realized without increasing the additional hardware cost.

The dry humidity value in the embodiments of the present application refers to a value used to characterize the dry humidity of a finger, for example, the reflected light intensity value of the fingerprint image described below, the gradient value of the fingerprint image, or a value calculated from the two.

Optionally, as shown in FIG. 2 , in this embodiment of the present application, the apparatus 100 may further include:

The processor 120 is configured to acquire the current dryness and humidity value according to the first fingerprint image, and determine the dryness and humidity level of the finger according to the current dryness and humidity value.

The apparatus 100 provided in this embodiment of the present application may be a fingerprint identification apparatus or an electronic device. When the device 100 is a fingerprint recognition device, the processor 120 may be an image processor, for example, a Micro Controlling Unit (MCU). When the apparatus 100 is an electronic device, the processor 120 may be a processor of the electronic device, such as a central processing unit (Central Processing Unit, CPU).

For ease of understanding, the relationship between the fingerprint image and the dryness and humidity of the finger will be described next.

Usually, the sharpness of the fingerprint image texture can reflect the dryness and wetness of the finger. It can be seen from Figure 3 that the drier the skin of the finger, the blurrier the texture of the fingerprint image, on the contrary, the wetter the finger, the clearer the texture of the fingerprint image.

In addition, for dry fingers, there is less oil and moisture on the skin surface, and the hardness of the stratum corneum of dry skin is greater than that of wet skin. When a dry finger presses the display screen, the contact of the finger to the display screen is not as good as that of a wet finger. Since the imaging of the fingerprint pattern on the fingerprint sensor chip (sensor) is based on the different light intensities reflected by the fingerprint valleys and ridges to the sensor, the imaging of the valley and ridges is obtained. The clearer the texture, the more blurred the fingerprint texture.

FIG. 4 and FIG. 5 are schematic diagrams showing the principle of imaging based on reflected light for wet and dry fingers, respectively.

As shown in Figure 4, it is assumed that the surface of the electronic device is a glass cover, and the finger touches the surface of the glass cover when performing fingerprint identification. Since the finger is a wet finger, the fingerprint ridge of the finger can be in good contact with the surface, while the finger's fingerprint ridge can be in good contact with the surface. There is a gap between the fingerprint valley line and the surface, and there is air in the gap.

In addition, as shown in FIG. 4 , it is also assumed here that the light L1 irradiated to the finger through the glass cover plate is uniform. According to the law of refraction and reflection of optics, when the light L1 is irradiated to the finger, the fingerprint ridge line is in good contact and the refractive index of the finger and the glass cover is similar, so more light L11 is transmitted into the finger, while the reflected light L21 is relatively small. However, there is an air gap at the valley line. Due to the large difference in the refractive index between the air and the glass cover, the light L12 transmitted into the finger is less, while the reflected light L22 on the surface of the cover is more, and there may be a small part of The light L23 reflected from the surface of the fingerprint valley forms a contrast signal between the fingerprint valleys and ridges, thereby forming a relatively clear fingerprint image.

Compared with FIG. 4 , FIG. 5 shows a schematic diagram of light in the vertical direction when dry fingers touch the glass cover plate. As shown in Figure 5, when the dry finger touches the surface of the glass cover, the signal size of the dry finger and the wet finger valley area are basically the same; An air film is formed in the ridge area and surface; the light signal absorbed by the skin at the position corresponding to the contact surface of the cover plate at the ridge decreases, and the reflection component increases; so the signal at the ridge of dry fingers will be stronger than that of wet fingers; the clarity of the lines is proportional to the valley line The difference between the signal minus the ridge line signal; the dry finger ridge line signal increases, which reduces the valley-ridge difference, so the texture is more blurred than the wet finger.

Compared with wet fingers, dry fingers have more air layers when they are in contact with the surface of the glass cover, resulting in less light energy absorbed by the skin and an increase in the amount of reflection felt by the sensor. Therefore, dry fingers have higher reflected light intensity than wet fingers.

Optionally, in this embodiment of the present application, at least one characteristic value of the first fingerprint image may be extracted according to the first fingerprint image, and the current dryness and humidity value may be determined based on the at least one characteristic value. The at least one characteristic value may include, for example, a value used to characterize the texture definition of the fingerprint image, a reflected light intensity value, a valley-ridge signal amount, and the like.

Specifically, because the magnitude of the gradient can accurately reflect the contrast of the tiny details in the image and the change of the image texture, the image has a clearer edge when the image quality is good, the gradient value is not zero, and the corresponding image point and the neighborhood are gray. There is an edge; the larger the gradient value, the clearer the edge of the point, and the better the contrast of the image. Therefore, in the embodiment of the present application, the value used to characterize the texture clarity of the fingerprint image may be the gradient value of the fingerprint image, but the embodiment of the present application should not be limited to this.

Optionally, in this embodiment of the present application, to obtain the gradient value of the first fingerprint image, a gradient operation may be performed on the first fingerprint image, for example, the horizontal direction and/or vertical direction may be performed on the first fingerprint image. The gradient value of the first fingerprint image can be obtained by performing other operations on the gradient value in the horizontal direction and the gradient value in the vertical direction to obtain the gradient value of the first fingerprint image. For example, assuming that the gradient value in the horizontal direction is C and the gradient value in the vertical direction is D, you can use

The calculation result of is determined as the gradient value of the first fingerprint image. For another example, assuming that the gradient value in the horizontal direction is C and the gradient value in the vertical direction is D, the calculation result of (C+D)/2 can be determined as the gradient value of the first fingerprint image.

Optionally, before the gradient operation is performed on the first fingerprint image, filtering processing may be performed on the first fingerprint image, for example, low-pass filtering (low-pass filtering, LPF) may be performed to filter out high-frequency noise.

That is, in this embodiment of the present application, the current dryness and humidity value may be determined in combination with the gradient value of the first fingerprint image and/or the reflected light intensity value of the first fingerprint image.

For example, the gradient value of the first fingerprint image may be determined as the current dryness and humidity value; or the reflected light intensity value of the first fingerprint image may be determined as the current dryness and humidity value. Alternatively, the current dry humidity value can also be determined by performing various operations on the gradient value of the first fingerprint image and the reflected light intensity value of the first fingerprint image.

For example, a weighted operation may be performed on the gradient value of the first fingerprint image and the reflected light intensity value of the first fingerprint image. Assuming that the gradient value of the first fingerprint image is A, the reflected light intensity value of the first fingerprint image is B, the weight of the gradient value of the first fingerprint image is w1, and the weight of the reflected light intensity value of the first fingerprint image is w2, then The calculation result of (w1*A+w2*B) can be determined as the current dry humidity value. Wherein, neither w1 nor w2 is 0 and w1+w2=1.

Alternatively, w1 may be greater than w2. Since the gradient value can better represent the dryness and wetness of the finger than the reflected light intensity value, try to assign a larger weight to the gradient value than the reflected light intensity value. For example, w1 may be 0.6, w2 may be 0.4; or w1 may be 0.7, w2 may be 0.3, etc.

In another alternative embodiment, the average value of the gradient value of the first fingerprint image and the reflected light intensity value of the first fingerprint image may be determined as the current dryness and humidity value.

It should be noted that although the gradient value and the reflected light intensity value are used as examples to determine the dry humidity value, other possible eigenvalues should not be excluded from the above method to obtain the dry humidity value.

Optionally, in this embodiment of the present application, the dryness and humidity level of the finger may be determined according to the relationship between the current dryness and humidity value and at least one threshold, wherein the at least one threshold may be based on a historical dryness and humidity value. definite.

Dryness and humidity levels can be classified according to thresholds. For example, one threshold corresponds to two levels of dryness and humidity, two thresholds correspond to three levels of dryness and humidity, and so on.

After the current dry humidity value is acquired, the current dry humidity value can be compared with at least one threshold, so that the dry humidity level corresponding to the current dry humidity value can be determined.

Optionally, in this embodiment of the present application, the at least one threshold may be determined according to historical dry and humidity values. Optionally, before acquiring the current dry humidity value, the at least one threshold value may be already determined. For example, the at least one threshold value may be updated periodically, and the current dry and humidity value may be compared with the last updated at least one threshold value. Optionally, after the current dry humidity value is acquired, the at least one threshold value may be determined according to the dry humidity value in the past period of time including the current dry humidity value, and the current dry humidity value may be further correlated with the determination. The determined at least one threshold is used for comparison with the current dry humidity value obtained next time, which is not limited in this embodiment of the present application.

Optionally, in this embodiment of the present application, a dryness and humidity histogram may be obtained according to dryness and humidity values corresponding to multiple historical fingerprint images; and the above-mentioned at least one threshold is determined according to the dryness and humidity histogram.

The dry-humidity histogram may include a plurality of histograms, which may be used to represent the corresponding relationship between the dry-humidity value and the number of fingerprint images. As shown in FIG. 6 , the abscissa of the dry-humidity histogram represents the dry-humidity value, and the ordinate of the dry-humidity histogram represents the number of fingerprint images (also referred to as the number of samples. In this embodiment of the present application, one fingerprint image represents one sample).

Specifically, a plurality of histograms can be drawn from the left to the right of the dry-humidity histogram according to the dry and humidity values corresponding to the historical fingerprint images. Taking the 10 histograms in FIG. 6 as an example, The maximum dry humidity value and the minimum dry humidity value in the dry humidity value corresponding to the image are divided into 10 equal parts, for example, the maximum dry humidity value is 10, the minimum dry humidity value is 0, and the statistical dry humidity value is between 1 and 2. , ......., the number of samples at 10 (it needs to be understood that the actual dry and humidity value may be between the dry and humidity values between every two histograms, which can be counted according to the closest dry and humidity value to which column the sample size of the graph).

After the dry humidity histogram is obtained, the dry humidity histogram can be traversed from left to right, and the dry humidity value at the first inflection point is determined as the first threshold, wherein the histogram to the left of the first inflection point represents the The number of fingerprint images showed a decreasing trend, and the number of fingerprint images represented by the histogram on the right side of the first inflection point showed an increasing trend.

For example, it can be seen from FIG. 6 that the dry humidity value at the first inflection point is 4, then the first threshold value may be 4.

For another example, the dry humidity value at the histogram after the first inflection point may also be determined as the first threshold. Alternatively, the dry humidity value at the central histogram in the dry humidity histogram may be determined as the first threshold, and the embodiment of the present application does not limit how to determine the threshold from the dry humidity histogram.

It should be understood that several thresholds are specifically obtained from the dryness and humidity histogram according to the degree of fineness of the dryness and humidity levels. If the dry humidity level is only roughly divided into dry finger level and wet finger level, it is only necessary to obtain a threshold value from the dry humidity histogram.

For example, the first threshold is obtained from the dryness and humidity histogram. If the current dryness and humidity value is less than or equal to the first threshold, then the dryness level of the finger is the dryness level; if the current dryness and humidity value is greater than the first threshold, Then the dry humidity level of the finger is the wet finger level.

Since the at least one threshold is obtained through the dryness and humidity histogram, the update interval of the dryness and humidity histogram may be the same as the update interval of the at least one threshold.

Optionally, in this embodiment of the present application, after the processor determines the dryness and humidity level according to the current dryness and humidity value, the processor may add the dryness and humidity level to the stored dryness and humidity level list, and the dryness and humidity level list stores past dryness and humidity levels. Multiple dryness and humidity levels in a period of time, the user can see the state of his skin in the past period of time through the dryness and humidity level table. For example, the dry humidity level over the past month. Assuming that the dry-humidity level is divided into dry-finger level and wet-finger level, 50 dry-humidity levels were recorded in the past month, of which 40 were dry-finger levels and 10 were wet-finger levels. My skin has been dry for a while and needs hydration.

Optionally, after determining the dryness and humidity level according to the current dryness and humidity value, the processor may control the display screen to display the dryness and humidity level, so that the user can know the dryness and wetness of his skin in real time, so as to replenish water in time.

Further, the processor may also determine the dryness and humidity score of the finger according to the dryness and humidity interval corresponding to the dryness and humidity level. That is to say, all the dry humidity levels can be divided into multiple dry humidity intervals, and each dry humidity interval corresponds to a dry humidity score.

For the skin, although a moist state is better than a dry state, it does not mean that the more moist the better. Therefore, the wettest dry-moisture rating may not correspond to the highest dry-moisture score. For example, there are 8 levels of dry and humidity levels from dry to wet, and the 8 levels can correspond to 4 dry and humidity intervals, that is, level 1-2 corresponds to section 1, level 3-4 corresponds to section 2, and level 5-6 corresponds to section 3 , levels 7-8 correspond to interval 4. Wherein, interval 1 can be an extremely dry interval, interval 2 can be a dry interval, interval 3 can be a wet interval, and interval 4 can be an extremely humid interval. The corresponding scores can be 30%, 60%, 90%, 75%, respectively.

Similarly, after obtaining the dryness and humidity score of the finger, it can be added to the dryness and humidity report, which stores a plurality of dryness and humidity scores in the past period of time, and the user can use the dryness and humidity report to See how your skin has looked over the past period of time. Figures 7 and 8 respectively show the dry and humidity report for the most recent period and the monthly dry and humidity report for the past year. Wherein, in FIG. 7 , the dryness and humidity score of each week may be an average value of a plurality of dryness and humidity scores within a week. Likewise, in FIG. 8 , the dryness and humidity score for each month may be an average of a plurality of dryness and humidity scores within a month.

The specific implementation of the technical solution of the present application will be described below with reference to FIG. 9 .

As shown in FIG. 9 , after the user unlocks, the original data 1 obtained on the sensor can be cached, and two operations can be performed on the original data 1 . First, the original data 1 is subtracted from the reference data (base), which can include the light leakage component of the display screen and the data when the sensor is not sensitive; then the fingerprint data formed by the reflection of the finger can be obtained, and then obtained according to the fingerprint data. The reflected light intensity value is denoted as B1; secondly, the original data 1 is first subjected to LPF to filter out high-frequency noise, and the filtered image is denoted as image 1; and then the image 1 is subjected to gradient operations in the horizontal and vertical directions, To find the gradient value, denoted as A1. The reflected light intensity value B1 and the gradient value A1 obtained by the above two operations are weighted, that is, the value of w1*A1+w2*B1 is calculated, and the dry humidity value corresponding to the original data 1 is obtained. Similarly, the dry humidity value corresponding to the original data 2 can be obtained according to w1*A2+w2*B2, ..., and the dry humidity value corresponding to the original data n can be obtained according to w1*An+w2*Bn. After obtaining the dry humidity values corresponding to the plurality of historical raw data (for example, raw data 2 to raw data n), the dry and humidity histograms thereof can be counted. Traversing the dryness and humidity histogram, the number of fingerprint images represented by the first inflection point in the dryness and humidity histogram (the histogram to the left of the first inflection point shows a decreasing trend, and the histogram to the right of the first inflection point represents the fingerprint image The dry humidity value at the location where the number tends to increase) is used as the threshold to compare with the dry humidity value corresponding to the current raw data (raw data 1), so that the dry humidity level corresponding to the raw data 1 can be obtained. Further, the dry humidity score corresponding to the original data 1 can be obtained according to the dry humidity interval in which the dry humidity level corresponding to the original data 1 is located, and the dry humidity score corresponding to the original data 2 can be obtained by a similar method, ..., The dry and humidity scores corresponding to the original data n are formed, and a dry and humidity report is formed.

The technical solutions of the embodiments of the present application can be used for the under-screen fingerprint identification technology. The under-screen fingerprint recognition technology refers to installing the optical fingerprint module under the display screen, so as to realize the fingerprint recognition operation in the display area of the display screen, and it is not necessary to set a fingerprint collection area on the front of the electronic device except the display area. Specifically, the optical fingerprint module uses light returned from the top surface of the display assembly of the electronic device for fingerprint sensing and other sensing operations. This returned light carries information of objects (eg fingers) in contact with the top surface of the display assembly. The optical fingerprint module located below the display assembly collects and detects this returned light to realize off-screen fingerprint recognition. Among other things, the design of the optical fingerprint module can be such that the desired optical imaging can be achieved by properly configuring the optical elements for collecting and detecting the returned light.

In the embodiment of the present application, the fingerprint image obtained by the optical fingerprint module can not only be used for fingerprint identification, but also can be used to obtain the corresponding dry humidity value, and then the dry humidity level of the finger can be determined.

Therefore, the technical solution for detecting the dryness and humidity of fingers provided in the embodiments of the present application can utilize the unlocking data of the user, the data collection is simple and convenient without the assistance of other devices, and the information collection and recording do not require more operations by the user, and since the unlocking data is bound The user's finger is fixed, and there is no other data interference. Therefore, the generated dry and humidity report is more accurate.

Optionally, an embodiment of the present application further provides an electronic device, including the device for detecting the dryness and humidity of a finger in the above-mentioned various embodiments.

Optionally, the electronic device in the embodiment of the present application may be a portable or mobile computing device such as a smart phone, a notebook computer, a tablet computer, and a game device, as well as other electronic devices such as an electronic database, a car, and a bank automatic teller machine (Automated Teller Machine, ATM). equipment. This embodiment of the present application does not limit this.

Optionally, the electronic device in this embodiment of the present application may further include a display screen.

10A and 10B show schematic diagrams of an electronic device 200 to which the under-screen fingerprint identification technology can be applied, wherein FIG. 10A is a schematic front view of the electronic device 200, and FIG. 10B is a schematic view of the electronic device 200 shown in FIG. 10A along AA' Schematic diagram of part of the cross-section structure.

As shown in FIGS. 10A and 10B , the electronic device 200 may include a display screen 220 and an optical fingerprint device 240 . The optical fingerprint device 240 may be the optical fingerprint module 110 described in the above embodiments.

The display screen 220 may be a self-luminous display screen, which uses display units having self-luminescence as display pixels. For example, the display screen 220 may be an organic light-emitting diode (Organic Light-Emitting Diode, OLED) display screen or a micro light-emitting diode (Micro-LED) display screen. In other alternative embodiments, the display screen 220 may also be a liquid crystal display (Liquid Crystal Display, LCD) or other passive light-emitting display screens, which are not limited in this embodiment of the present application.

In addition, the display screen 220 may be specifically a touch display screen, which can not only display a screen, but also detect a user's touch or pressing operation, thereby providing a human-computer interaction interface for the user. For example, in one embodiment, the electronic device 200 may include a touch sensor, and the touch sensor may specifically be a touch panel (Touch Panel, TP), which may be disposed on the surface of the display screen 220, or may be partially integrated or The whole is integrated into the display screen 220 to form the touch display screen.

Specifically, the optical fingerprint device 240 may include a fingerprint sensor chip (hereinafter also referred to as an optical fingerprint sensor or an optical fingerprint chip) having an optical sensing array. Wherein, the optical sensing array includes a plurality of optical sensing units, and each optical sensing unit may specifically include a photodetector or a photoelectric sensor. In other words, the optical fingerprint device 240 may include a photo detector array (or referred to as a photo detector array, a photo sensor array, an optical sensor array, or a sensing array), which includes a plurality of photo detectors distributed in an array. .

As shown in FIG. 10A , the optical fingerprint device 240 may be arranged in a partial area below the display screen 220 , so that the fingerprint collection area (or fingerprint detection area) 230 of the optical fingerprint device 240 is at least partially located on the display screen 220 in the display area 202 .

Of course, in other alternative embodiments, the optical fingerprint device 240 may also be disposed in other positions, such as the side surface of the display screen 220 or the non-light-transmitting area of the edge of the electronic device 200 . In this case, the optical signal of at least part of the display area of the display screen 220 can be guided to the optical fingerprint device 240 through the optical path design, so that the fingerprint collection area 230 is actually located in the display area of the display screen 220 .

In some embodiments of the present application, the optical fingerprint device 240 may only include one fingerprint sensor chip. In this case, the fingerprint collection area 230 of the optical fingerprint device 240 has a small area and a fixed position. Therefore, the user needs to put his finger on the finger when inputting a fingerprint. Press to a specific position of the fingerprint collection area 230, otherwise the optical fingerprint device 240 may not be able to collect the fingerprint image, resulting in poor user experience.

In other embodiments of the present application, the optical fingerprint device 240 may specifically include multiple fingerprint sensor chips; the multiple fingerprint sensor chips may be arranged side by side under the display screen 220 by splicing, and the multiple fingerprint sensor chips The sensing areas of the fingerprint sensor chip together constitute the fingerprint collection area 230 of the optical fingerprint device 240 . That is to say, the fingerprint collection area 230 of the optical fingerprint device 240 may include a plurality of sub-areas, and each sub-area corresponds to the sensing area of one of the fingerprint sensor chips, so that the fingerprint collection area 230 of the optical fingerprint module 230 It can be extended to the main area of the lower half of the display screen, that is, to the area where the finger is habitually pressed, so as to realize the blind-pressing fingerprint input operation. Alternatively, when the number of fingerprint sensor chips is sufficient, the fingerprint detection area 230 can also be extended to half of the display area or even the entire display area, so as to realize half-screen or full-screen fingerprint detection.

It should be understood that the embodiments of the present application do not limit the specific forms of the plurality of fingerprint sensor chips. For example, the plurality of fingerprint sensor chips may be individually packaged fingerprint sensor chips, or may be multiple chips (Dies) packaged in the same chip package. For another example, the plurality of fingerprint sensor chips can also be fabricated on different regions of the same chip (Die) through a semiconductor process.

As shown in FIG. 10B , the area where the optical sensing array of the optical fingerprint device 240 is located or the light sensing range corresponds to the fingerprint collection area 230 of the optical fingerprint device 240 . The fingerprint collection area 230 of the optical fingerprint device 240 may or may not be equal to the area or photosensitive range of the area where the optical sensing array of the optical fingerprint device 240 is located, which is not specifically limited in this embodiment of the present application.

For example, through the light path design of collimated light, the fingerprint collection area 230 of the optical fingerprint device 240 can be designed to be substantially the same as the area of the sensing array of the optical fingerprint device 240 .

For another example, the area of the fingerprint collection area 230 of the optical fingerprint device 240 can be made larger than the area of the sensing array of the optical fingerprint device 240 through the optical path design of converging light or the optical path design of reflected light.

In some embodiments of the present application, the optical fingerprint device 240 may further include an optical component, and the optical component may be disposed above the sensing array, which may specifically include a filter layer (Filter), a light guide layer or an optical path Guide structures and other optical elements, the filter layer can be used to filter out ambient light that penetrates the finger, for example, infrared light that interferes with imaging, and the light guide layer or light path guide structure is mainly used to reflect back from the surface of the finger The reflected light is directed to the sensing array for optical detection.

The optical path design of the optical fingerprint device 240 is exemplarily described below.

As an embodiment, the optical fingerprint device 240 may use an optical collimator having a through-hole array with a high aspect ratio, and the optical collimator may specifically be a collimator fabricated on a semiconductor silicon wafer. layer, which has a plurality of collimating units or micro-holes, the collimating units can be specifically small holes, and the light that is perpendicularly incident to the collimating unit can pass through and be absorbed by the reflected light from the finger. However, the light with an excessively large incident angle is attenuated after multiple reflections inside the collimating unit, so each fingerprint sensor chip can basically only receive the reflected light from the fingerprint lines directly above it. , which can effectively improve the image resolution, thereby improving the fingerprint recognition effect.

Further, when the optical fingerprint device 240 includes a plurality of fingerprint sensor chips, an alignment unit can be configured for one optical sensing unit in the optical sensing array of each fingerprint sensor chip, and the alignment unit can be attached to the corresponding optical sensing unit. above. Of course, the multiple optical sensing units may also share one collimating unit, that is, the one collimating unit has an aperture large enough to cover the multiple optical sensing units. Since one collimation unit can correspond to multiple optical sensing units, the correspondence between the space period of the display screen 220 and the space period of the fingerprint sensor chip is destroyed. The optical sensing array has a similar spatial structure, which can effectively prevent the optical fingerprint device 240 from using the optical signal passing through the display screen 220 to perform fingerprint imaging to generate Moiré fringes, thereby effectively improving the fingerprint recognition effect of the optical fingerprint device 240 .

As another embodiment, the optical fingerprint device 240 may adopt an optical path design based on an optical lens, and the optical lens may include an optical lens (Lens) layer having one or more lens units, such as one or more aspherical surfaces A lens group composed of lenses is used for converging the reflected light from the finger to the sensing array of the fingerprint sensor chip below it, so that the sensing array can perform imaging based on the reflected light, so as to obtain the image of the finger. Fingerprint image. The optical lens layer can also be formed with pinholes in the optical path of the lens unit, and the pinholes can cooperate with the optical lens layer to expand the field of view of the optical fingerprint device 240 to improve the fingerprint of the optical fingerprint device 240 . Imaging effect.

Further, when the optical fingerprint device 240 includes multiple fingerprint sensor chips, each fingerprint sensor chip may be configured with an optical lens for fingerprint imaging, or multiple fingerprint sensor chips may be configured with one optical lens to realize light convergence and fingerprint imaging. Even when a fingerprint sensor chip has two sensing arrays (Dual Array) or multiple sensing arrays (Multi-Array), the fingerprint sensor chip can also be configured with two or more optical lenses to cooperate with the two sensing arrays. The array or multiple sensing arrays perform optical imaging, thereby reducing the imaging distance and enhancing the imaging effect.

As a further embodiment, the optical fingerprint device 240 may adopt the optical path design of a micro-lens (Micro-Lens) layer, and the micro-lens layer may have a micro-lens array formed by a plurality of micro-lenses, which may be formed by a semiconductor growth process. Or other processes are formed above the sensing array of the fingerprint sensor chip, and each microlens may respectively correspond to one of the sensing units of the sensing array. Other optical film layers, such as a dielectric layer or a passivation layer, may also be formed between the microlens layer and the sensing unit. The light-blocking layer, wherein the micro-holes are formed between the corresponding micro-lenses and the sensing units, the light-blocking layer can block the optical interference between the adjacent micro-lenses and the sensing units, and allow the light to pass through the micro-lenses and the sensing units. The lens converges inside the micro-hole and is transmitted to the sensing unit corresponding to the micro-lens via the micro-hole, so as to perform optical fingerprint imaging.

It should be understood that several implementation solutions of the above-mentioned optical path guiding structure may be used alone or in combination, for example, a microlens layer may be further provided under the collimator layer or the optical lens layer. Of course, when the collimator layer or the optical lens layer is used in combination with the microlens layer, its specific stack structure or optical path may need to be adjusted according to actual needs.

The optical fingerprint device 240 may be used to collect fingerprint information (such as fingerprint image information) of the user.

As an optional embodiment, the display screen 220 can be a display screen with a self-luminous display unit, such as an organic light-emitting diode (Organic Light-Emitting Diode, OLED) display screen or a micro-light-emitting diode (Micro-LED) display screen Screen. Taking an OLED display screen as an example, the optical fingerprint device 240 may use a display unit (ie, an OLED light source) located in the fingerprint collection area 230 of the OLED display screen as an excitation light source for optical fingerprint detection.

When a finger touches, presses or approaches (for convenience of description, collectively referred to as pressing in this application) on the fingerprint collection area 230, the display screen 220 emits a beam of light to the finger above the fingerprint collection area 230, and this beam of light is on the finger's surface. The surface is reflected to form reflected light, or scattered light is formed by internal scattering of the finger. In related patent applications, for the convenience of description, the above-mentioned reflected light and scattered light are collectively referred to as reflected light. Since the ridges and valleys of fingerprints have different reflection capabilities for light, the reflected light from the fingerprint ridges and the occurrences from the fingerprint valleys have different light intensities. The fingerprint sensor chip in the fingerprint device 240 receives and converts it into a corresponding electrical signal, that is, a fingerprint detection signal; based on the fingerprint detection signal, fingerprint image data can be obtained, and fingerprint matching verification can be further performed, so that in the electronic device 200 realizes the optical fingerprint recognition function.

It can be seen that when the user needs to perform fingerprint unlocking or other fingerprint verification on the electronic device 200 , the user only needs to press the finger on the fingerprint collection area 230 located on the display screen 220 to realize the input operation of the fingerprint feature. Since the collection of fingerprint features can be implemented inside the display area 202 of the display screen 220 , the electronic device 200 with the above structure does not need to reserve a space on the front to set fingerprint buttons (such as the Home button), so a full-screen solution can be adopted. Therefore, the display area 202 of the display screen 220 may substantially extend to the entire front surface of the electronic device 200 .

In other alternative embodiments, the optical fingerprint device 240 may also use a built-in light source or an external light source to provide an optical signal for fingerprint detection and identification. In this case, the optical fingerprint device 240 can be applied not only to self-luminous display screens such as OLED display screens, but also to non-self-luminous display screens, such as liquid crystal display screens or other passive light-emitting display screens.

Taking the application in a liquid crystal display with a backlight module and a liquid crystal panel as an example, in order to support fingerprint detection under the liquid crystal display, the optical fingerprint system of the electronic device 200 may further include an excitation light source for optical fingerprint detection, and the excitation light source is used for optical fingerprint detection. The light source can be specifically an infrared light source or a light source of non-visible light with a specific wavelength, which can be arranged under the backlight module of the liquid crystal display or in the edge area under the protective cover of the electronic device 200, and the optical fingerprint device 240 can be arranged Under the edge area of the liquid crystal panel or the protective cover plate and guided by the optical path, the fingerprint detection light can reach the optical fingerprint device 240; The group allows the fingerprint detection light to pass through the liquid crystal panel and the backlight module and reach the optical fingerprint device 240 by making holes or other optical designs on the film layers such as the diffusion sheet, the brightness enhancement sheet, and the reflective sheet. When the optical fingerprint device 240 uses a built-in light source or an external light source to provide an optical signal for fingerprint detection, the detection principle can be the same.

As shown in FIG. 10A , the electronic device 200 may further include a transparent protective cover plate 210, such as a glass cover plate or a sapphire cover plate, which is located above the display screen 220 and covers the front side of the electronic device 200, and the surface of the cover plate 210 is also A protective layer may be provided. Therefore, in the embodiment of the present application, the so-called finger pressing on the display screen 220 may actually refer to the finger pressing on the cover plate 210 above the display screen 220 or the surface of the protective layer covering the cover plate 210 .

As shown in FIG. 10B , a circuit board 250, such as a flexible printed circuit (Flexible Printed Circuit, FPC), may also be disposed below the optical fingerprint device 240 .

Above, the specific structure of the device for detecting the dryness and humidity of a finger according to the embodiment of the present application is described. The method 300 for detecting the dryness and humidity of a finger according to an embodiment of the present application will be described in detail below with reference to FIG. 11 . Specifically, as shown in FIG. 11 , the method 300 includes:

S310, obtaining a current dry humidity value corresponding to the first fingerprint image according to the first fingerprint image, where the first fingerprint image is a fingerprint image obtained by reflecting light formed by the reflection of light irradiating the finger;

S320, according to the current dry humidity value, determine the dry humidity level of the finger.

Optionally, in the embodiment of the present application, acquiring the current dry and humidity value corresponding to the first fingerprint image according to the first fingerprint image includes: acquiring the gradient value of the first fingerprint image according to the first fingerprint image and/or the reflected light intensity value; according to the gradient value and/or the reflected light intensity value, determine the current dry humidity value.

Optionally, in this embodiment of the present application, determining the current dry humidity value according to the gradient value and the reflected light intensity value includes: determining a calculation result of (w1*A+w2*B) as the current dryness value Humidity value, where A is the gradient value, B is the reflected light intensity value, w1 is the weight of the gradient value, w2 is the weight of the reflected light intensity value, w1+w2=1 and neither w1 nor w2 is 0.

Optionally, in this embodiment of the present application, w1 is greater than w2.

Optionally, in this embodiment of the present application, determining the dryness and humidity level of the finger according to the current dryness and humidity value includes: determining the dryness and humidity level of the finger according to the relationship between the current dryness and humidity value and at least one threshold, The at least one threshold value is determined based on historical dry and humidity values.

Optionally, in this embodiment of the present application, the method further includes: obtaining a dry and wet histogram according to dry and wet values corresponding to multiple historical fingerprint images, where the dry and wet histogram includes a plurality of histograms. The graph is used to represent the corresponding relationship between the dryness and humidity values and the number of fingerprint images; the at least one threshold is determined according to the dryness and humidity histogram.

Optionally, in this embodiment of the present application, the at least one threshold includes a first threshold, and determining the at least one threshold according to the dryness and humidity histogram includes: traversing the dryness and humidity histogram from left to right, and converting the first The dry-humidity value at each inflection point is determined as the first threshold, wherein the number of fingerprint images represented by the histogram on the left side of the first inflection point is decreasing, and the number of fingerprint images represented by the histogram on the right side of the first inflection point is increasing. trend.

Optionally, in this embodiment of the present application, determining the dryness and humidity level of the finger according to the relationship between the current dryness and humidity value and at least one threshold value includes: if the current dryness and humidity value is less than or equal to the first threshold, determining The dryness level of the finger is the dry finger level; or if the current dryness value is greater than the first threshold, the dryness level of the finger is determined to be the wet finger level.

Optionally, in this embodiment of the present application, the method further includes: determining a dryness and humidity score of the finger according to a dryness and humidity interval corresponding to the current dryness and humidity level.

Optionally, in this embodiment of the present application, the method further includes: adding the dryness and humidity score of the finger to a dryness and humidity report, where the dryness and humidity report includes a plurality of historical dryness and humidity scores.

Optionally, in this embodiment of the present application, acquiring the gradient value corresponding to the first fingerprint image according to the first fingerprint image includes: performing low-pass filtering on the first fingerprint image in the horizontal direction and the vertical direction. The gradient operation of ; the gradient magnitude in the horizontal direction and the gradient magnitude in the vertical direction are averaged to obtain the gradient value.

It should be noted that the method 300 for detecting the dryness and humidity of a finger provided by the embodiment of the present application can be realized by the device 100 for detecting the dryness and humidity of a finger described in the embodiment of the present application. Repeat.

It should be understood that the processor in this embodiment of the present application may be an integrated circuit chip, which has a signal processing capability. In the implementation process, each step of the above method embodiments may be completed by a hardware integrated logic circuit in a processor or an instruction in the form of software. The above-mentioned processor can be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other possible Programming logic devices, discrete gate or transistor logic devices, discrete hardware components. The methods, steps, and logic block diagrams disclosed in the embodiments of this application can be implemented or executed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in conjunction with the embodiments of the present application may be directly embodied as executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules may be located in random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers and other storage media mature in the art. The storage medium is located in the memory, and the processor reads the information in the memory, and completes the steps of the above method in combination with its hardware.

Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of this application.

Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and 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 purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution, and the computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk and other media that can store program codes .

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited to this. should be covered within the scope of protection of this application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

A device for detecting dryness and humidity of fingers, characterized in that the device comprises:

The optical fingerprint module is used to receive the reflected light formed by the reflection of the light irradiating the finger to obtain a first fingerprint image, and the first fingerprint image is used to obtain the current dry humidity value corresponding to the first fingerprint image to determine The dry wetness rating of the finger.
The device according to claim 1, wherein the device further comprises:

The processor is configured to acquire the current dryness and humidity value according to the first fingerprint image, and determine the dryness and humidity level of the finger according to the current dryness and humidity value.
The device according to claim 2, wherein the processor obtains the current dry humidity value according to the first fingerprint image, comprising:

obtaining the gradient value and/or the reflected light intensity value of the first fingerprint image according to the first fingerprint image;

The current dry humidity value is determined according to the gradient value and/or the reflected light intensity value.
The device according to claim 3, wherein the processor determines the current dry humidity value according to the gradient value and the reflected light intensity value, comprising:

Determine the calculation result of (w1*A+w2*B) as the current dry humidity value, where A is the gradient value, B is the reflected light intensity value, w1 is the weight of the gradient value, w2 is the weight of the reflected light intensity value, w1+w2=1 and neither w1 nor w2 is 0.
The apparatus of claim 4, wherein w1 is greater than w2.
The device according to any one of claims 2 to 5, wherein the processor determines the dryness and humidity level of the finger according to the current dryness and humidity value, comprising:

The dryness level of the finger is determined according to the relationship between the current dryness and humidity value and at least one threshold value, and the at least one threshold value is determined according to the historical dryness and humidity value.
The apparatus of claim 6, wherein the processor is further configured to:

According to the dry and humidity values corresponding to multiple historical fingerprint images, a dry-humidity histogram is obtained, where the dry-humidity histogram includes multiple histograms, and the multiple histograms are used to represent the corresponding relationship between the dry-humidity value and the number of fingerprint images ;

The at least one threshold is determined according to the dry-humidity histogram.
The device according to claim 7, wherein the at least one threshold includes a first threshold, and the processor determines the at least one threshold according to the dry-humidity histogram, comprising:

Traverse the dry-humidity histogram from left to right, and determine the dry-humidity value at the first inflection point as the first threshold, wherein the number of fingerprint images represented by the histogram to the left of the first inflection point is in a decreasing trend , the number of fingerprint images represented by the histogram on the right side of the first inflection point is increasing.
The device according to claim 8, wherein the processor determines the dryness and humidity level of the finger according to the relationship between the current dryness and humidity value and at least one threshold value, comprising:

If the current dry-humidity value is less than or equal to the first threshold, determine that the dry-humidity level of the finger is a dry-finger level; or

If the current dry humidity value is greater than the first threshold value, the dry humidity level of the finger is determined to be a wet finger level.
The apparatus according to any one of claims 2 to 9, wherein the processor is further configured to:

The dry humidity score of the finger is determined according to the dry humidity interval corresponding to the dry humidity level of the finger.
The apparatus of claim 10, wherein the processor is further configured to:

The dryness and humidity scores of the fingers are stored in a dryness and humidity report, where the dryness and humidity report includes a plurality of historical dryness and humidity scores.
The device according to any one of claims 3 to 5, wherein the processor, according to the first fingerprint image, obtains a gradient value of the first fingerprint image, comprising:

The gradient operation in the horizontal direction and the vertical direction is performed on the first fingerprint image after the low-pass filtering, so as to obtain the gradient value.
A method for detecting dryness and humidity of fingers, comprising:

obtaining, according to a first fingerprint image, a current dry humidity value corresponding to the first fingerprint image, where the first fingerprint image is a fingerprint image obtained by reflecting light formed by reflecting light on the finger;

According to the current dry humidity value, the dry humidity level of the finger is determined.
The method according to claim 13, wherein the obtaining, according to the first fingerprint image, the current dry and humidity value corresponding to the first fingerprint image comprises:

obtaining the gradient value and/or the reflected light intensity value of the first fingerprint image according to the first fingerprint image;

The current dry humidity value is determined according to the gradient value and/or the reflected light intensity value.
The method according to claim 14, wherein the determining the current dry humidity value according to the gradient value and the reflected light intensity value comprises:

Determine the calculation result of (w1*A+w2*B) as the current dry humidity value, where A is the gradient value, B is the reflected light intensity value, w1 is the weight of the gradient value, w2 is the weight of the reflected light intensity value, w1+w2=1 and neither w1 nor w2 is 0.
16. The method of claim 15, wherein w1 is greater than w2.
The method according to any one of claims 13 to 16, wherein the determining the dryness and humidity level of the finger according to the current dryness and humidity value comprises:

The dryness level of the finger is determined according to the relationship between the current dryness and humidity value and at least one threshold value, and the at least one threshold value is determined according to the historical dryness and humidity value.
The method of claim 17, wherein the method further comprises:

According to the dry and humidity values corresponding to multiple historical fingerprint images, a dry-humidity histogram is obtained, where the dry-humidity histogram includes multiple histograms, and the multiple histograms are used to represent the corresponding relationship between the dry-humidity value and the number of fingerprint images ;

The at least one threshold is determined according to the dry-humidity histogram.
The method according to claim 18, wherein the at least one threshold value comprises a first threshold value, and the determining the at least one threshold value according to the dry-humidity histogram comprises:

Traverse the dry-humidity histogram from left to right, and determine the dry-humidity value at the first inflection point as the first threshold, wherein the number of fingerprint images represented by the histogram to the left of the first inflection point is in a decreasing trend , the number of fingerprint images represented by the histogram on the right side of the first inflection point is increasing.
The method according to claim 19, wherein the determining the dryness and humidity level of the finger according to the relationship between the current dryness and humidity value and at least one threshold value comprises:

If the current dry-humidity value is less than or equal to the first threshold, determine that the dry-humidity level of the finger is a dry-finger level; or

If the current dry humidity value is greater than the first threshold value, the dry humidity level of the finger is determined to be a wet finger level.
The method according to any one of claims 13 to 20, wherein the method further comprises:

The dryness and humidity score of the finger is determined according to the dryness and humidity interval corresponding to the current dryness and humidity level.
The method of claim 21, wherein the method further comprises:

The dryness and humidity scores of the fingers are added to a dryness and humidity report, and the dryness and humidity report includes a plurality of historical dryness and humidity scores.
The method according to any one of claims 14 to 16, wherein the obtaining, according to the first fingerprint image, a gradient value corresponding to the first fingerprint image comprises:

The gradient operation in the horizontal direction and the vertical direction is performed on the first fingerprint image after the low-pass filtering, so as to obtain the gradient value.
An electronic device, characterized by comprising the device according to any one of claims 1 to 12.