A calibration method, device, terminal device and medium for fingerprint acquisition

Abstract

The present disclosure relates to a calibration method, device, terminal device and medium for fingerprint acquisition. The method includes: in the case of first operation information in a preset area of the current display interface, determining first brightness information of the preset area based on the current display interface, and obtaining current fingerprint information; determining first noise information or calibration information corresponding to the first noise information according to the first brightness information; and calibrating the current fingerprint information according to the first noise information or the calibration information. By using the method of the present disclosure, in a scenario where fingerprint acquisition or recognition is required, the brightness of the preset area (fingerprint recognition area) can be adaptively adjusted, and noise information adapted to the current brightness can be obtained, so as to accurately calibrate the collected fingerprints even when the display scene of the display screen is changed, thereby improving the accuracy of fingerprint acquisition.

Description

Technical Field

[0001] The present disclosure relates to the field of terminals, and in particular, to a calibration method, apparatus, terminal device, and medium for fingerprint acquisition. Background Art

[0002] With the progress of technology, the screen-to-body ratio of terminal devices such as mobile phones is getting higher and higher, and full-screen mobile phones are gradually becoming the mainstream in the future mobile phone market. While ensuring the screen-to-body ratio of the mobile phone, to implement the screen fingerprint solution, an optical fingerprint module is usually disposed under the screen. However, the light of the display screen is likely to cause optical noise interference to the acquisition of the fingerprint module. For example, for an OLED display screen, the light emission of the OLED and its reflected light, scattered light, diffracted light, etc. will all interfere with the fingerprint module under the screen.

[0003] In related technologies, to avoid optical noise, the screen background noise under a selected background image is removed, but the screen background noise does not match after changing the scene, resulting in a relatively high failure rate of fingerprint recognition (such as unlocking). Summary of the Invention

[0004] To overcome the problems existing in the related technologies, the present disclosure provides a calibration method, apparatus, terminal device, and medium for fingerprint acquisition.

[0005] According to a first aspect of an embodiment of the present disclosure, a calibration method for fingerprint acquisition is provided, and the method includes:

[0006] When first operation information is received in a preset area of the current display interface, determining first brightness information of the preset area based on the current display interface, and obtaining current fingerprint information; wherein, the preset area corresponds to an optical fingerprint module;

[0007] Determining first noise information or calibration information corresponding to the first noise information according to the first brightness information; wherein, the first noise information is used to characterize the noise information existing in fingerprint acquisition under the current display interface;

[0008] Calibrating the current fingerprint information according to the first noise information or the calibration information.

[0009] Optionally, the determining first brightness information of the preset area based on the current display interface includes:

[0010] Obtaining image brightness information of the current display interface;

[0011] Determining the first brightness information according to the image brightness information.

[0012] Optionally, the obtaining image brightness information of the current display interface includes:

[0013] Obtain the brightness distribution information of the current display interface;

[0014] According to the brightness distribution information, determine the second brightness information of the current display interface as the image brightness information; wherein, the second brightness information is used to characterize the average brightness information of the current display interface.

[0015] Optionally, the determining the first brightness information according to the image brightness information includes:

[0016] Obtain the pre-stored first configuration information; wherein, the first configuration information is used to characterize the correspondence between the average brightness interval of the display interface and the preset brightness information of the preset area;

[0017] According to the second brightness information and the first configuration information, determine the first brightness information corresponding to the second brightness information.

[0018] Optionally, the determining the first brightness information corresponding to the second brightness information according to the second brightness information and the first configuration information includes:

[0019] According to the second brightness information and the first configuration information, determine the brightness interval where the second brightness information is located;

[0020] According to the brightness interval, determine the first brightness information corresponding to the brightness interval.

[0021] Optionally, the determining the first noise information or the calibration information corresponding to the first noise information according to the first brightness information includes:

[0022] Obtain the pre-stored second configuration information; wherein, the second configuration information is used to characterize the correspondence between the preset brightness information of the preset area and the preset noise information or the preset calibration information corresponding to the preset noise information;

[0023] According to the first brightness information and the second configuration information, determine the first noise information or the calibration information corresponding to the first brightness information.

[0024] According to the second aspect of the embodiments of the present disclosure, there is provided a fingerprint acquisition device, and the device includes:

[0025] A first determination module, configured to, when first operation information is received in a preset area of the current display interface, determine the first brightness information of the preset area based on the current display interface; wherein, the preset area corresponds to an optical fingerprint module;

[0026] An acquisition module for acquiring current fingerprint information; a second determination module for determining first noise information or calibration information corresponding to the first noise information according to the first brightness information, where the first noise information is used to characterize noise information existing in fingerprint acquisition under the current display interface;

[0027] A calibration module for calibrating the current fingerprint information according to the first noise information or the calibration information.

[0028] Optionally, the first determination module includes:

[0029] A first acquisition sub-module for acquiring image brightness information of the current display interface;

[0030] A first determination sub-module for determining the first brightness information according to the image brightness information.

[0031] Optionally, the first acquisition sub-module is used for:

[0032] Acquiring brightness distribution information of the current display interface;

[0033] Determining second brightness information of the current display interface as the image brightness information according to the brightness distribution information, where the second brightness information is used to characterize the average brightness information of the current display interface.

[0034] Optionally, the first determination sub-module is used for:

[0035] Acquiring pre-stored first configuration information, where the first configuration information is used to characterize the correspondence between the average brightness interval of the display interface and the preset brightness information of the preset area;

[0036] Determining the first brightness information corresponding to the second brightness information according to the second brightness information and the first configuration information.

[0037] Optionally, the first determination sub-module is used for:

[0038] Determining the brightness interval where the second brightness information is located according to the second brightness information and the first configuration information;

[0039] Determining the first brightness information corresponding to the brightness interval according to the brightness interval.

[0040] Optionally, the second determination module includes:

[0041] A second acquisition sub-module for acquiring pre-stored second configuration information, where the second configuration information is used to characterize the correspondence between the preset brightness information of the preset area and the preset noise information or the preset calibration information corresponding to the preset noise information;

[0042] A second determination sub-module, configured to determine the first noise information or the calibration information corresponding to the first luminance information according to the first luminance information and the second configuration information.

[0043] According to a third aspect of the embodiments of the present disclosure, a terminal device is provided, including:

[0044] A processor;

[0045] A memory for storing executable instructions of the processor;

[0046] Wherein, the processor is configured to execute the calibration method for fingerprint acquisition as described in any one of the above.

[0047] According to a fourth aspect of the embodiments of the present disclosure, a non-transitory computer-readable storage medium is provided. When the instructions in the storage medium are executed by a processor of a terminal device, the terminal device can execute the calibration method for fingerprint acquisition as described in any one of the above.

[0048] The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects: By using the method of the present disclosure, in scenarios where fingerprint acquisition or recognition is required, the luminance of a preset area (fingerprint recognition area) can be adaptively adjusted, and noise information adapted to the current luminance can be obtained; so as to accurately calibrate the collected fingerprints when the display screen changes the display scenario, thereby improving the accuracy of fingerprint acquisition.

[0049] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The drawings herein are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present invention and used together with the specification to explain the principles of the present invention.

[0051] Figure 1 is a schematic diagram of a lock screen interface in the related art.

[0052] Figure 2 is a schematic diagram of lighting a fingerprint spot in the related art.

[0053] Figure 3 is a flowchart of a method shown according to an exemplary embodiment.

[0054] Figure 4 is a flowchart of a method shown according to an exemplary embodiment.

[0055] Figure 5 is a luminance histogram shown according to an exemplary embodiment.

[0056] Figure 6 is a luminance histogram corresponding to an image shown according to an exemplary embodiment.

[0057] Figure 7 is a luminance histogram corresponding to an image shown according to an exemplary embodiment.

[0058] Figure 8 is a schematic diagram showing the relationship between the average luminance and a preset luminance shown according to an exemplary embodiment.

[0059] Figure 9 is a flowchart of a method shown according to an exemplary embodiment.

[0060] Figure 10 is a schematic diagram of a luminance interval shown according to an exemplary embodiment.

[0061] Figure 11 is a flowchart of a method shown according to an exemplary embodiment.

[0062] Figure 12 is a block diagram of a device shown according to an exemplary embodiment.

[0063] Figure 13 is a block diagram of a device shown according to an exemplary embodiment.

[0064] Figure 14 is a block diagram of a terminal device shown according to an exemplary embodiment. Detailed implementation manners

[0065] Here, exemplary embodiments will be described in detail, and examples thereof are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present invention. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0066] With the progress of technology, the screen-to-body ratio of terminal devices such as mobile phones is getting higher and higher, and full-screen mobile phones are gradually becoming the mainstream of the future mobile phone market.

[0067] In related technologies, while ensuring the screen-to-body ratio of mobile phones, the fingerprint unlocking method of full-screen mobile phones generally adopts an under-screen optical fingerprint acquisition method, that is, an optical fingerprint module is disposed under the display screen, and a user performs a touch operation on a corresponding area of the display screen to implement fingerprint recognition, such as implementing fingerprint payment or fingerprint unlocking.

[0068] In the method of under-screen optical fingerprint unlocking, since the fingerprint module is located under the display screen, a path is required to transmit optical signals during fingerprint acquisition. For example, when a user presses on the fingerprint acquisition area of the display screen, light (such as infrared light) reflects back as signal light after contacting the user's finger. The signal light penetrates the display screen and returns to the fingerprint module along the path, completing the acquisition of the user's fingerprint. The collected fingerprint is compared with the pre-stored standard fingerprint for fingerprint recognition. When the collected fingerprint matches the standard fingerprint, operations such as unlocking or fingerprint payment can be achieved.

[0069] In related technologies, most full-screen mobile phones use OLED display screens (organic light-emitting diode display screens). Compared with traditional LCD display screens (liquid crystal display screens), OLED has the characteristic of self-luminescence. However, the light emitted by OLED, as well as the reflected light, scattered light, diffracted light, etc. of OLED on light, will all interfere with the fingerprint module under the screen, affecting the accuracy of fingerprint acquisition or recognition.

[0070] To eliminate the optical interference of the display screen, the fingerprint module is calibrated for noise before the mobile phone leaves the factory to obtain the screen background noise. The calibration methods in related technologies are relatively fixed. Generally, a background image is selected, such as Figure 1 the background image shown. After selecting the background image, the fingerprint recognition area is lit in the HBM (high-brightness mode) of OLED to form a fingerprint light spot (the white circle area) as shown in Figure 2 . The data collected by the fingerprint module at this time is considered to be the screen background noise (image data).

[0071] As can be seen from the above, the noise calibration scenario in related technologies is single. Under a certain specific background image, the brightness of the fingerprint light spot is relatively fixed. In this way, the coverage range of the collected screen background noise can only be well applicable to the current background image and the current brightness of the fingerprint light spot, but not to other backgrounds or other brightnesses of the fingerprint light spot; that is, the screen noise coverage range is small and the generality is poor. When the background image is changed to other scenarios, there is still a situation where the screen noise does not match, resulting in a relatively high failure rate of fingerprint recognition (such as unlocking).

[0072] To solve the above technical problems in the related art, the present disclosure proposes a calibration method for fingerprint acquisition. The method includes: when first operation information is received in a preset area of the current display interface, determining first brightness information of the preset area based on the current display interface, and obtaining current fingerprint information; wherein, the preset area corresponds to an optical fingerprint module; determining first noise information or calibration information corresponding to the first noise information according to the first brightness information; wherein, the first noise information is used to characterize the noise information existing in fingerprint acquisition under the current display interface; calibrating the current fingerprint information according to the first noise information or the calibration information. Using the method of the present disclosure, in a scenario where fingerprint acquisition or recognition is required, the brightness of the preset area (fingerprint recognition area) can be adaptively adjusted, and noise information adapted to the current brightness can be obtained; so as to accurately calibrate the collected fingerprint when the display screen changes the display scenario, thereby improving the accuracy of fingerprint acquisition.

[0073] In an exemplary embodiment, the method of this embodiment is applied to a terminal device including an in-screen optical fingerprint module. Among them, the terminal device can be, for example, a portable electronic device such as a mobile phone, a laptop computer, a tablet computer, and a smart wearable device. The display screen of the terminal device can be, for example, an OLED display screen.

[0074] As Figure 2 shown, the method of this embodiment includes the following steps:

[0075] S110. When first operation information is received in a preset area of the current display interface, determining first brightness information of the preset area based on the current display interface.

[0076] S120. Obtaining current fingerprint information.

[0077] S130. Determining first noise information or calibration information corresponding to the first noise information according to the first brightness information.

[0078] S140. Calibrating the current fingerprint information according to the first noise information or the calibration information, and determining first fingerprint information corresponding to the first operation information.

[0079] Among them, in step S110, the first operation information can be, for example, the pressing operation information of the user's finger, and the first operation information is a trigger signal for fingerprint acquisition or recognition of the terminal device. The preset area can be, for example, the fingerprint acquisition or recognition area on the display screen (such as Figure 2(the fingerprint light spot area in it), the position of the preset area on the display screen corresponds to the position of the under-screen optical fingerprint module; when there is fingerprint pressing information in this area, the fingerprint module can collect or identify fingerprints. The current display interface refers to the interface where there is a current need for fingerprint collection or identification (receiving user operation information), such as the lock screen interface, background desktop, or application interface of the terminal device.

[0080] The first brightness information is used to represent the preset brightness information that satisfies fingerprint collection. The preset brightness information can be, for example, the brightness information of the fingerprint light spot that can effectively achieve fingerprint collection or identification. It can be understood that in the scenario of fingerprint collection and identification, the brightness of the preset area is much greater than that in the conventional display scenario.

[0081] In this step, after receiving the trigger signal, the AP (application processor) of the terminal device can determine the corresponding first brightness information based on the current display interface. Therefore, when the screen background changes, the first brightness information will also adapt to the change to obtain the preset brightness information of the fingerprint light spot that always corresponds to the current display interface. Different from the related technology where only one brightness information that satisfies fingerprint collection is set. After determining the first brightness information, the AP side can control the OLED display screen to enter the HBM (high brightness mode) and control the preset area to display at the first brightness value (corresponding to the first brightness information).

[0082] In step S120, in the scenario where the preset area is displayed at the first brightness value, the AP side obtains the current fingerprint information collected by the fingerprint module. At this time, the current fingerprint information is the fingerprint information including screen noise. Among them, the obtained current fingerprint information is: the fingerprint information collected by the fingerprint module under the first calibration parameter.

[0083] In step S130, the average brightness information of different display interfaces affects the preset brightness information of the preset area (fingerprint light spot), and different preset brightness information has a greater impact on the current screen noise.

[0084] In this step, the first noise information is used to represent the noise information existing in fingerprint collection under the current display interface. The calibration information can include, for example, the calibration parameters corresponding to the noise information. The first noise information determined by the AP of the terminal device according to the first brightness information is adapted to the current display interface and can accurately represent the screen noise in the current fingerprint collection or identification scenario. In this step, adapted to the first noise information, the present embodiment also sets a first calibration parameter. The first calibration parameter can be, for example, the exposure time required for fingerprint collection in the presence of the first noise information.

[0085] It can be understood that in the present embodiment, the order of steps S120 and S130 is not limited.

[0086] In step S140, the current fingerprint information is calibrated according to the first noise information or calibration information. For example, by subtracting the first noise information, accurate fingerprint information can be obtained; or, by calibrating the current fingerprint information using the calibration information, accurate fingerprint information can be obtained.

[0087] In the fingerprint recognition process, the acquired fingerprint image is compared with the standard fingerprint image. If the fingerprint image is the same as the standard image, fingerprint verification can be passed and unlocking or payment can be performed; if the fingerprint image is different from the standard image, fingerprint verification fails.

[0088] In an exemplary embodiment, as Figure 4 shown, the method of this embodiment includes the following steps:

[0089] S210. Receive the first operation information of a preset area and obtain the image brightness information of the current display interface.

[0090] S220. Determine the first brightness information according to the image brightness information.

[0091] S230. Determine the first noise information or the calibration information corresponding to the first noise information according to the first brightness information.

[0092] S240. Obtain the current fingerprint information.

[0093] S250. Calibrate the current fingerprint information according to the first noise information or calibration information to determine the first fingerprint information corresponding to the first operation information.

[0094] Among them, the operations of steps S230 to S250 are the same as steps S130, S120, and S140 of the above embodiment, and will not be elaborated here.

[0095] In step S210, the image brightness information may be the average brightness information of the current display interface. In this embodiment, step S210 may specifically include the following steps:

[0096] S2101. Obtain the brightness distribution information of the current display interface.

[0097] Among them, the brightness distribution information may be, for example, the brightness histogram information of the current display interface. As Figure 5 shown, the brightness histogram is a white bar graph. Horizontally, it represents brightness (brightness levels from 0 to 255, where 0 represents pure black and 255 represents pure white), and vertically, it represents the number of pixels. The left side of the histogram represents the dark tone, the right side represents the bright tone, and the middle represents the middle tone. The vertical height of the histogram represents the pixel density. The higher the vertical distribution in a certain area, the more pixels are distributed in the corresponding brightness area.

[0098] S2102. Determine the second brightness information of the current display interface based on the brightness distribution information as the image brightness information.

[0099] Among them, the AP of the terminal device can obtain the average brightness information of any image according to the brightness histogram information of the image. As Figures 6 to 7 shown, it is the brightness histogram information of the same image in two states. After the AP of the terminal device obtains the brightness histogram information of the current display interface (such as the lock screen interface), it can calculate the average brightness information of all pixels of the current display interface, that is, the second brightness information, according to the brightness distribution of each pixel.

[0100] In step S220, there is a corresponding relationship between the average brightness information of the display interface and the preset brightness information of the preset area (fingerprint spot). Generally speaking, the lower the average brightness of the display interface, the higher the preset brightness of the fingerprint spot; the higher the average brightness of the display interface, the lower the preset brightness of the fingerprint spot.

[0101] As Figure 8 shown, it is the corresponding relationship between the preset brightness of the fingerprint spot and the average brightness of the display interface in the OLED display screen in this embodiment. It can be Figure 8 known that when the average brightness of the display interface is less than 1 nit (nit), that is, when the display interface is a pure black background, the preset brightness of the fingerprint spot is the maximum value of 900 nit (the maximum brightness of HBM of each OLED display screen is different). When the average brightness of the display interface reaches 800 nit, the preset brightness of the fingerprint spot is 500 nit. It can be seen that the background of the display interface with different brightness has a great influence on the preset brightness of the fingerprint spot.

[0102] In this embodiment, even if the display interface of the terminal device changes, the average brightness information (such as the second brightness information) of the current display interface can still be obtained according to the histogram information; then, according to the corresponding relationship between the preset brightness information of the fingerprint spot and the average brightness information of the display interface, the preset brightness information (such as the first brightness information) applicable to the current display interface is determined.

[0103] In an exemplary embodiment, as Figure 9 shown, step S220 may specifically include the following steps:

[0104] S2201. Obtain the pre-stored first configuration information.

[0105] Among them, the first configuration information is used to represent the corresponding relationship between the average brightness interval of the display interface and the preset brightness information of the preset area. The first configuration information can be pre-stored in the AP end during the factory test of the terminal device.

[0106] In this embodiment, the average brightness of the display interface can be divided into n intervals (n > 1), such as n = 3 or 5. Combining Figure 10 As shown, in one example, n = 3, and the three average brightness intervals are: [a1, a2), [a2, a3), [a3, a4], and each interval corresponds (maps) to a preset brightness information of a fingerprint light spot.

[0107] Among them, within each interval, each average brightness (horizontal axis) corresponds one-to-one to a fingerprint light spot brightness value (vertical axis), and the average value of multiple fingerprint light spot brightness values within this interval is used as the preset brightness value of the fingerprint light spot corresponding to this interval (this preset brightness value is represented by preset brightness information). At this time, the number of preset brightness information is the same as the number of average brightness intervals, that is, 3 preset brightness values (b1, b2, and b3) of fingerprint light spots can be obtained in this embodiment.

[0108] S2202. Determine the first brightness information corresponding to the second brightness information according to the second brightness information and the first configuration information.

[0109] Among them, according to the second brightness information and the above first configuration information, the brightness interval where the second brightness information is located can be determined; according to the brightness interval, the first brightness information corresponding to this brightness interval is determined.

[0110] In an exemplary embodiment, as Figure 11 shown, step S230 in the method of this embodiment specifically includes the following steps:

[0111] S2301. Obtain the pre-stored second configuration information.

[0112] Among them, the second configuration information is used to characterize the correspondence between the preset brightness information of the preset area and the preset noise information or the preset calibration information corresponding to the preset noise information. The second configuration information can be pre-stored in the AP end during the factory test of the terminal device. The brightness of different fingerprint light spots has a great influence on the screen noise, and at the same time, it also has a great influence on the setting of the exposure time (the time required for fingerprint acquisition) during the fingerprint recognition process.

[0113] In this embodiment, during the factory test of the terminal device, under the preset brightness values of different fingerprint light spots, the screen noise information at each preset brightness value is obtained respectively, and the calibration parameters under each screen noise information are obtained respectively. Among them, the calibration parameters are used to characterize parameters such as the exposure time and sensitivity required for fingerprint acquisition under the current screen noise.

[0114] In this embodiment, still combining Figure 10, during the factory test phase of the terminal device, at the preset brightness values (b1, b2, and b3) of the above three fingerprint light spots, three screen noise information are respectively obtained, and three calibration parameters (B1, B2, and B3) are obtained, and the above corresponding relationship is stored as the second configuration information.

[0115] S2302. Determine the first noise information or calibration information corresponding to the first brightness information according to the first brightness information and the second configuration information.

[0116] Among them, during the actual use process, the first noise information corresponding to it can be determined according to the determined first brightness information. In this embodiment, there is a one-to-one correspondence between the three intervals of the average brightness value of the display interface, the preset brightness values of the three fingerprint light spots, and the three screen noise information. For example:

[0117] The first brightness interval [a1, a2) corresponds to the first preset brightness information b1, the first noise information, and the first noise calibration parameter B1. The second brightness interval [a2, a3) corresponds to the second preset brightness information b2, the second noise information, and the second noise calibration parameter B2. The third brightness interval [a3, a4] corresponds to the third preset brightness information b3, the third noise information, and the third noise calibration parameter B3. When any item in the corresponding relationship is known, other reference items can be obtained, effectively optimizing the calibration parameters, improving the quality and accuracy in the fingerprint acquisition process, and thus improving the unlocking rate.

[0118] In an exemplary embodiment, the present disclosure provides a fingerprint acquisition device, which is applied to a terminal device including an in-screen optical fingerprint module, such as Figure 12 shown, the device includes: a first determination module 110, an acquisition module 120, a second determination module 130, and a calibration module 140. The method of this embodiment is used to implement the method as Figure 3 shown. Among them, the first determination module 110 is used to determine the first brightness information of the preset area based on the current display interface when the first operation information received in the preset area of the current display interface; wherein, the preset area corresponds to the optical fingerprint module, and the first brightness information is used to represent the preset brightness information that satisfies fingerprint acquisition under the current display interface. The acquisition module 120 is used to acquire the current fingerprint information. The second determination module 130 is used to determine the first noise information or the calibration information corresponding to the first noise information according to the first brightness information; wherein, the first noise information is used to represent the noise information existing in fingerprint acquisition under the current display interface. The calibration module 140 calibrates the current fingerprint information according to the first noise information or the calibration information, and determines the first fingerprint information corresponding to the first operation information.

[0119] In an exemplary embodiment, such as Figure 13As shown in the figure, the device of this embodiment includes a first determination module 210, an acquisition module 220, a second determination module 230, and a calibration module 240. The first determination module 210 includes: a first acquisition sub-module 2101 and a first determination sub-module 2102. The method of this embodiment is used to implement as Figure 4 shown in the method. Among them, the first acquisition sub-module 2101 is used to acquire the image brightness information of the current display interface. The first determination sub-module 2102 is used to determine the first brightness information of the preset area according to the image brightness information. In this embodiment, the first acquisition sub-module 2101 is used to acquire the brightness distribution information of the current display interface; according to the brightness distribution information, determine the second brightness information of the current display interface as the image brightness information; where the second brightness information is used to represent the average brightness information of the current display interface. The first determination sub-module 2102 is used to: determine the first brightness information of the preset area according to the second brightness information.

[0120] In an exemplary embodiment, still referring to Figure 13 , the first determination sub-module 2102 is used to: acquire the pre-stored first configuration information; where the first configuration information is used to represent the correspondence between the average brightness interval of the display interface and the preset brightness information of the preset area. According to the second brightness information and the first configuration information, determine the first brightness information corresponding to the second brightness information. For example, the first determination sub-module 2102 is used to determine the brightness interval where the second brightness information is located according to the second brightness information and the first configuration information; according to the brightness interval, determine the first brightness information corresponding to the brightness interval. In this embodiment, the second determination module 220 includes: a second acquisition sub-module, which is used to acquire the pre-stored second configuration information; where the second configuration information is used to represent the correspondence between the preset brightness information of the preset area and the preset noise information or the preset calibration information corresponding to the preset noise information. The second determination sub-module is used to determine the first noise information or calibration information corresponding to the first brightness information according to the first brightness information and the second configuration information.

[0121] As Figure 14 shown is a block diagram of a terminal device. The present disclosure also provides a terminal device. For example, the device 500 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0122] The device 500 may include one or more of the following components: a processing component 502, a memory 504, a power component 506, a multimedia component 508, an audio component 510, an input / output (I / O) interface 512, a sensor component 514, and a communication component 516.

[0123] The processing component 502 generally controls the overall operation of the device 500, such as operations associated with display, telephone calls, data communication, camera operations, and recording operations. The processing component 502 may include one or more processors 520 to execute instructions to complete all or part of the steps of the above methods. In addition, the processing component 502 may include one or more modules to facilitate the interaction between the processing component 502 and other components. For example, the processing component 502 may include a multimedia module to facilitate the interaction between the multimedia component 508 and the processing component 502.

[0124] The memory 504 is configured to store various types of data to support the operation of the device 500. Examples of such data include instructions for any application or method operating on the device 500, contact data, phone book data, messages, pictures, videos, etc. The memory 504 may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0125] The power component 506 provides power to various components of the device 500. The power component 506 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the device 500.

[0126] The multimedia component 508 includes a screen that provides an output interface between the device 500 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors can not only sense the boundaries of touch or swipe actions, but also detect the duration and pressure associated with the touch or swipe operations. In some embodiments, the multimedia component 508 includes a front camera and / or a rear camera. When the device 500 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera can receive external multimedia data. Each of the front camera and the rear camera may be a fixed optical lens system or have a focal length and optical zoom capabilities.

[0127] The audio component 510 is configured to output and / or input audio signals. For example, the audio component 510 includes a microphone (MIC) that is configured to receive external audio signals when the device 500 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals can be further stored in the memory 504 or transmitted via the communication component 516. In some embodiments, the audio component 510 further includes a speaker for outputting audio signals.

[0128] The I / O interface 512 provides an interface between the processing component 502 and peripheral interface modules, and the peripheral interface modules may be a keyboard, a click wheel, buttons, and the like. These buttons may include, but are not limited to: a home button, a volume button, a power button, and a lock button.

[0129] The sensor component 514 includes one or more sensors for providing an assessment of various aspects of the state of the device 500. For example, the sensor component 514 can detect the open / closed state of the device 500, the relative positioning of components, such as the display and keypad of the device 500. The sensor component 514 can also detect a change in the position of the device 500 or a component of the device 500, the presence or absence of user contact with the device 500, the orientation or acceleration / deceleration of the device 500, and a change in the temperature of the device 500. The sensor component 514 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor component 514 can also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 514 can further include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0130] The communication component 516 is configured to facilitate communication between the device 500 and other devices in a wired or wireless manner. The device 500 can access a wireless network based on communication standards, such as WiFi, 2G, or 3G, or a combination thereof. In an exemplary embodiment, the communication component 516 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 516 further includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0131] In an exemplary embodiment, the device 500 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described method.

[0132] A non-transitory computer-readable storage medium provided in another exemplary embodiment of the present disclosure, such as a memory 504 including instructions, may be executed by a processor 520 of the device 500 to complete the above-described method. For example, the computer-readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc. When the instructions in the storage medium are executed by a processor of the terminal device, the terminal device can execute the above-described method.

[0133] Those skilled in the art will readily conceive of other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include common general knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and embodiments are to be regarded as exemplary only, and the true scope and spirit of the present invention are pointed out by the following claims.

[0134] It should be understood that the present invention is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.

Claims

1. A calibration method for fingerprint acquisition, characterized in that, The method includes: When first operation information is received in a preset area of the current display interface, determining first brightness information of the preset area based on the current display interface, and obtaining current fingerprint information; wherein, the preset area corresponds to an optical fingerprint module, and the first brightness information is used to represent preset brightness information that meets fingerprint collection requirements; Determining first noise information or calibration information corresponding to the first noise information according to the first brightness information; wherein, the first noise information is used to represent noise information existing in fingerprint collection under the current display interface; Calibrating the current fingerprint information according to the first noise information or the calibration information; Wherein, the determining first brightness information of the preset area based on the current display interface includes: Obtaining image brightness information of the current display interface, where the image brightness information is the average brightness information of the current display interface; Determining the first brightness information according to the image brightness information.

2. The calibration method for fingerprint acquisition according to claim 1, wherein, The obtaining image brightness information of the current display interface includes: Obtaining brightness distribution information of the current display interface; Determining second brightness information of the current display interface as the image brightness information according to the brightness distribution information; wherein, the second brightness information is used to represent the average brightness information of the current display interface.

3. The calibration method for fingerprint acquisition according to claim 2, wherein The determining the first brightness information according to the image brightness information includes: Obtaining pre-stored first configuration information; wherein, the first configuration information is used to represent the corresponding relationship between the average brightness range of the display interface and the preset brightness information of the preset area; Determining the first brightness information corresponding to the second brightness information according to the second brightness information and the first configuration information.

4. The calibration method for fingerprint acquisition according to claim 3, characterized in that, The determining the first brightness information corresponding to the second brightness information according to the second brightness information and the first configuration information includes: Determining the brightness range where the second brightness information is located according to the second brightness information and the first configuration information; Determining the first brightness information corresponding to the brightness range according to the brightness range.

5. The calibration method for fingerprint acquisition according to claim 1, wherein, The determining first noise information or calibration information corresponding to the first noise information according to the first brightness information includes: Obtaining pre-stored second configuration information; wherein, the second configuration information is used to represent the corresponding relationship between the preset brightness information of the preset area and the preset noise information or the preset calibration information corresponding to the preset noise information; Determining the first noise information or the calibration information corresponding to the first brightness information according to the first brightness information and the second configuration information.

6. A fingerprint acquisition device, characterized in that, The device includes: A first determination module, configured to determine first brightness information of a preset area based on the current display interface when first operation information is received in the preset area of the current display interface; wherein, the preset area corresponds to an optical fingerprint module, and the first brightness information is used to represent preset brightness information that meets fingerprint collection requirements; An obtaining module, configured to obtain current fingerprint information; A second determination module, configured to determine first noise information or calibration information corresponding to the first noise information according to the first brightness information; wherein, the first noise information is used to characterize noise information existing in fingerprint acquisition under the current display interface; A calibration module, configured to calibrate the current fingerprint information according to the first noise information or the calibration information; Wherein, the first determination module includes: A first acquisition sub-module, configured to acquire image brightness information of the current display interface, wherein the image brightness information is the average brightness information of the current display interface; A first determination sub-module, configured to determine the first brightness information according to the image brightness information.

7. The fingerprint acquisition device according to claim 6, wherein The first acquisition sub-module is configured to: Acquire brightness distribution information of the current display interface; According to the brightness distribution information, determine second brightness information of the current display interface as the image brightness information; wherein, the second brightness information is used to characterize the average brightness information of the current display interface.

8. The fingerprint acquisition device according to claim 7, characterized in that, The first determination sub-module is configured to: Acquire pre-stored first configuration information; wherein, the first configuration information is used to characterize the correspondence between the average brightness interval of the display interface and the preset brightness information of the preset area; According to the second brightness information and the first configuration information, determine the first brightness information corresponding to the second brightness information.

9. The fingerprint acquisition device according to claim 8, wherein The first determination sub-module is configured to: According to the second brightness information and the first configuration information, determine the brightness interval where the second brightness information is located; According to the brightness interval, determine the first brightness information corresponding to the brightness interval.

10. The fingerprint acquisition device according to claim 6, wherein, The second determination module includes: A second acquisition sub-module, configured to acquire pre-stored second configuration information; wherein, the second configuration information is used to characterize the correspondence between the preset brightness information of the preset area and the preset noise information or the preset calibration information corresponding to the preset noise information; A second determination sub-module, configured to determine the first noise information or the calibration information corresponding to the first brightness information according to the first brightness information and the second configuration information.

11. A terminal device, characterized in that, Includes: A processor; A memory for storing executable instructions of the processor; Wherein, the processor is configured to execute the calibration method for fingerprint acquisition according to any one of claims 1 to 5.

12. A non-transitory computer-readable storage medium, characterized in that, When the instructions in the storage medium are executed by the processor of the terminal device, the terminal device is enabled to execute the calibration method for fingerprint acquisition according to any one of claims 1 to 5.

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