CN111414810A - Fingerprint acquisition method, electronic device and storage medium - Google Patents
Fingerprint acquisition method, electronic device and storage medium Download PDFInfo
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- CN111414810A CN111414810A CN202010135484.6A CN202010135484A CN111414810A CN 111414810 A CN111414810 A CN 111414810A CN 202010135484 A CN202010135484 A CN 202010135484A CN 111414810 A CN111414810 A CN 111414810A
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- 238000000034 method Methods 0.000 title claims abstract description 48
- 239000004973 liquid crystal related substance Substances 0.000 claims abstract description 26
- 239000013589 supplement Substances 0.000 claims abstract description 26
- 238000001514 detection method Methods 0.000 description 7
- 230000007613 environmental effect Effects 0.000 description 4
- 230000015572 biosynthetic process Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
- G06V40/1324—Sensors therefor by using geometrical optics, e.g. using prisms
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
Abstract
The application discloses a fingerprint acquisition method, an electronic device and a storage medium. The fingerprint collection method is used for an electronic device, the electronic device comprises a liquid crystal display module, a fingerprint sensor and a light supplement lamp, and the fingerprint sensor and the light supplement lamp are arranged below the liquid crystal display module, and the fingerprint collection method comprises the following steps: under the condition that the electronic device is in an interference environment, the light supplement lamp is turned off, and a first image is collected through the fingerprint sensor; turning on the light supplement lamp and collecting a second image through the fingerprint sensor; and forming a fingerprint identification image according to the first image and the second image. Therefore, the first image and the second image which are acquired under different conditions are utilized to form the fingerprint identification image, the noise of the fingerprint identification image can be reduced, and the unlocking rate of the fingerprint is further improved.
Description
Technical Field
The present application relates to the field of electronic technologies, and in particular, to a fingerprint acquisition method, an electronic apparatus, and a storage medium.
Background
The liquid crystal display module on the electronic device utilizes infrared L ED light filling to this fingerprint identification under the screen that realizes the liquid crystal display module, but when the liquid crystal display module was used under outdoor or highlight environment, the infrared light in the sunlight or the partial visible light in the highlight can pass the liquid crystal display module, form an image on fingerprint image sensor, disturb normal fingerprint formation of image, reduce the efficiency of fingerprint unblock.
Disclosure of Invention
The application discloses a fingerprint acquisition method, an electronic device and a storage medium.
The fingerprint collection method is used for an electronic device, the electronic device comprises a liquid crystal display module, a fingerprint sensor and a light supplement lamp, the fingerprint sensor and the light supplement lamp are arranged below the liquid crystal display module, and the fingerprint collection method comprises the following steps: under the condition that the electronic device is in an interference environment, the light supplement lamp is turned off, and a first image is collected through the fingerprint sensor; turning on the light supplement lamp and collecting a second image through the fingerprint sensor; and forming a fingerprint identification image according to the first image and the second image.
According to the fingerprint acquisition method, the first image and the second image which are acquired under different conditions are used for forming the fingerprint identification image, so that the noise of the fingerprint identification image can be reduced, and the unlocking rate of the fingerprint is improved.
The application also provides an electronic device, which comprises a liquid crystal display module, a fingerprint sensor, a light supplement lamp and a processor, wherein the fingerprint sensor, the light supplement lamp and the processor are all arranged below the liquid crystal display module; the light supplement lamp is started and a second image is collected through the fingerprint sensor; and for forming a fingerprint identification image from the first image and the second image. Therefore, the electronic device forms the fingerprint identification image by using the first image and the second image acquired under different conditions, so that the noise of the fingerprint identification image can be reduced, and the unlocking rate of the fingerprint is improved.
The present application also provides a non-transitory computer-readable storage medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform the fingerprint acquisition method described in the above embodiments.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The above and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow chart of a fingerprint acquisition method according to an embodiment of the present application;
FIG. 2 is a schematic view of a fingerprint acquisition method according to an embodiment of the present application;
FIG. 3 is a schematic, partially cross-sectional view of an electronic device according to an embodiment of the present application;
FIG. 4 is a schematic flow chart of a fingerprint acquisition method according to an embodiment of the present application;
FIG. 5 is a schematic flow chart of a fingerprint acquisition method according to an embodiment of the present application;
FIG. 6 is a schematic flow chart of a fingerprint acquisition method according to an embodiment of the present application;
FIG. 7 is a schematic flow chart of a fingerprint acquisition method according to an embodiment of the present application;
FIG. 8 is a schematic flow chart of a fingerprint acquisition method according to an embodiment of the present application;
FIG. 9 is a schematic plan view of an electronic device according to an embodiment of the present application;
fig. 10 is a schematic view of an internal module of an electronic device according to an embodiment of the present application.
Description of the main element symbols:
the electronic device 100, the liquid crystal display module 10, the fingerprint sensor 20, the first image 201, the second image 202, the fingerprint identification image 203, the fill light 30, the proximity sensor 40, the light sensor 50, the processor 60, the system bus 70, the memory 80, the internal memory 90, and the input device 110.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative and are only for the purpose of explaining the present application and are not to be construed as limiting the present application.
Referring to fig. 1, 2 and 3, a fingerprint acquisition method is provided according to an embodiment of the present disclosure. The fingerprint collection method is used for the electronic device 100, and the electronic device 100 comprises a liquid crystal display module 10, a fingerprint sensor 20 and a light supplement lamp 30 which are all arranged below the liquid crystal display module 10. The fingerprint acquisition method comprises the following steps:
s10, when the electronic device 100 is in an interference environment, the light supplement lamp 30 is turned off and the first image 201 is collected by the fingerprint sensor 20;
s20, turning on the light supplement lamp 30 and collecting a second image 202 through the fingerprint sensor 20;
s30, a fingerprint identification image 203 is formed from the first image 201 and the second image 202.
With the development of electronic technology, the unlocking of fingerprints under the screen has become the mainstream, in some unlocking modes of fingerprints under the screen, infrared light needs to be emitted through an infrared light supplement lamp, penetrates through the screen and is reflected by the surface of a fingerprint of a user, and the infrared light penetrates through the screen again and forms an image on a fingerprint sensor below the screen, so that a fingerprint identification image can be obtained, the contrast similarity between the fingerprint identification image and a fingerprint image which is recorded in advance is realized, and the electronic device can be unlocked when the standard value is reached. However, the infrared light emitted by the infrared light supplement lamp easily interferes with the infrared light in the environment, the infrared light in the environment can cause poor imaging quality of the fingerprint sensor, and the unlocking efficiency of the electronic device is reduced.
In the fingerprint acquisition method according to the embodiment of the application, the electronic device forms the fingerprint identification image 203 by using the first image 201 and the second image 202 acquired under different conditions, so that the noise of the fingerprint identification image 203 can be reduced, and the unlocking rate of the fingerprint can be further improved.
Specifically, the electronic apparatus 100 may be any of various types of computer system devices that are mobile or portable and perform wireless communication. For example, the electronic device 100 may be a mobile phone, a portable game device, a laptop computer, a PDA (personal digital assistant), a PAD (PAD), a portable internet device, a wearable device, a vehicle-mounted terminal, a navigator, a music player, a data storage device, and the like.
In step S1, when the user presses a finger on the corresponding fingerprint unlocking portion of the liquid crystal display module 10, the fingerprint sensor 20 may capture a fingerprint image through the liquid crystal display module. The interference environment may include infrared light, ultraviolet light, and a strong light environment, and in the embodiment of the present application, the interference environment is an infrared light environment and a strong light environment. An infrared light environment is an infrared light environment having a certain intensity and affecting the formation of a fingerprint identification image, such as: under the environment of sunlight; a strong light environment is a visible light environment that has a certain intensity and can affect the formation of a fingerprint identification image, for example: beside the indoor strong light.
When the electronic device 100 is determined to be in an interference environment, that is, when the electronic device 100 is in an infrared light or strong light environment, the electronic device 100 turns off the fill light 30, and acquires a first image without the infrared fill light 30 through the fingerprint sensor 20, where the first image is a background image formed by infrared light or strong light in the environment penetrating through a finger or light leakage.
When the electronic device 100 is not in the interference environment, the electronic device 100 turns on the fill-in light 30 to obtain the fingerprint image of the user.
In step S2, after the first image 201 is collected, the electronic device 100 turns on the fill light 30 and collects a second image 202, where the second image 202 is a fingerprint image in which the infrared light emitted by the fill light 30 and the infrared light and the strong light in the environment exist simultaneously.
In step S3, the interval time between the first image 201 and the second image 202 is very short, the position where the user presses the fingerprint is hardly changed, and the difference between the first image 201 and the second image 202 is that the second image 202 is imaged by the infrared light of the fill light 30. It is thus possible to obtain a fingerprint identification image 203 using the difference between the first image 201 and the second image 202, i.e. the fingerprint image 203 without environmental interference.
More, because the fingerprint identification image 203 obtained through the first image 201 and the second image 202 needs to consume relatively much time, in order to improve the unlocking efficiency of the user, the first fingerprint unlocking of the user can be set without detecting an interference environment, and if the first fingerprint unlocking of the user fails, the fingerprint acquisition method of the embodiment of the application is used for acquiring the fingerprint identification image. Thus, the fingerprint unlocking speed can be improved on the whole.
Referring to fig. 3 and 4, in some embodiments, a fingerprint acquisition method includes:
s01, acquiring the intensity of ambient infrared light around the electronic device 100;
s02, when the ambient infrared light intensity is greater than the infrared light threshold, it is determined that the electronic device 100 is in the interference environment.
Thus, it can be determined that the electronic device 100 is in an interference environment.
Specifically, infrared light is present more or less indoors or outdoors in the environment, the imaging of the fingerprint sensor 20 by the infrared light is also related to the intensity of the infrared light, and the weaker infrared light does not affect the fingerprint identification function. Therefore, an infrared light threshold value may be set, and when the intensity of the infrared light in the interference environment is greater than the set infrared light threshold value, the fingerprint acquisition method according to the embodiment of the present application is executed to acquire the fingerprint identification image.
Referring to fig. 5 and 9, in some embodiments, step S01 includes:
s011, acquiring an infrared light signal collected by the proximity sensor 40 of the electronic device 100;
and S012, determining the ambient infrared light intensity according to the infrared light signal.
In particular, the electronic device 100 may be a mobile terminal with its own proximity sensor 40, the proximity sensor 40 may comprise an infrared emitter and an infrared light sensor. According to the fingerprint acquisition method, the infrared light sensor can be used for acquiring the infrared light signal, and the infrared light intensity can be determined according to the infrared light signal, so that a sensor does not need to be additionally arranged for detecting infrared light, and the internal space of the electronic device 100 is saved.
Referring to fig. 6, in some embodiments, a fingerprint acquisition method includes:
s03, acquiring the intensity of ambient light around the electronic device 100;
s04, when the ambient light intensity is greater than the ambient light threshold, it is determined that the electronic device 100 is in the interference environment.
Specifically, when the intensity of the visible light in the environment is too high, a part of the visible light also penetrates through the liquid crystal display module 10 to form an image on the fingerprint sensor 20, so that the electronic device 100 cannot be unlocked by the acquired fingerprint identification image. Therefore, when the infrared light in the detection environment does not exceed the set infrared light threshold, the intensity of the visible light is required to be detected, the threshold at which the visible light does not affect the fingerprint identification image can be set, and when the intensity of the visible light is greater than the set threshold, the fingerprint identification image is acquired by using the fingerprint acquisition method of the embodiment of the application.
On the contrary, when the infrared light in the detection environment is not greater than the set infrared light threshold and the visible light intensity is not greater than the set intensity threshold, the fingerprint identification image is not acquired by the fingerprint acquisition method of the embodiment of the application.
Referring to fig. 7 and 9, in some embodiments, step S03 includes:
s031, acquiring an ambient light signal collected by the light sensor 50 of the electronic device 100;
and S032, determining the intensity of the ambient light according to the ambient light signal.
Specifically, the electronic device 100 may be a mobile terminal, and the light sensor 50 in the mobile terminal is generally used to help adjust the backlight intensity of the liquid crystal display module 10, so that the brightness of the liquid crystal display module 10 can automatically adapt to the light intensity in the environment when the user uses the mobile terminal. Therefore, the fingerprint collection method according to the embodiment of the present application may utilize the light intensity in the environment acquired by the light sensor 50, when the light intensity in the environment is greater than the preset ambient light intensity threshold, it is determined that the electronic device 100 is in the interference environment, and the fingerprint collection method according to the embodiment of the present application is used to collect the fingerprint identification image.
Referring to fig. 2 and 8, in some embodiments, step S30 includes:
s31, determining a first gray value of the first image 201 and a second gray value of the second image 202;
s32, forming the fingerprint identification image 203 according to the difference between the first gray scale value and the second gray scale value.
In this way, the fingerprint identification image 203 free from interference of ambient infrared light and strong light can be obtained.
Specifically, the interval time between the first image 201 and the second image 202 is very short, the position where the user presses the fingerprint is hardly changed, and the difference between the first image 201 and the second image 202 is that the second image 202 is imaged by the infrared light of the fill light 30. Therefore, the difference between the gray values of the first image 201 and the second image 202 can be used to obtain the fingerprint identification image 203 by subtracting the gray values of the first image 201 and the second image 202, and the fingerprint identification image 203 is a fingerprint image without environmental interference.
Referring to fig. 2, 9 and 10, the present application further provides an electronic device 100, where the electronic device 100 includes a liquid crystal display module 10, and a fingerprint sensor 20, a fill-in light 30 and a processor 60 that are all disposed below the liquid crystal display module 10, and the processor 60 is configured to turn off the fill-in light 30 and collect a first image through the fingerprint sensor 20 when the electronic device 100 is in an interference environment; and is used for turning on the light supplement lamp 30 and collecting a second image through the fingerprint sensor 20; and for forming a fingerprint identification image from the first image and the second image. Thus, the electronic device 100 can obtain the fingerprint identification image without being affected by the interference environment, and the unlocking rate of the fingerprint is improved.
Specifically, when the user unlocks the electronic device 100 by using the fingerprint, the processor 60 may determine whether the electronic device 100 is in the interference environment by using the detection component to place the finger at the corresponding fingerprint unlocking position. The interference environment may include infrared light, ultraviolet light, and a strong light environment, and in the embodiment of the present application, the interference environment is an infrared light environment and a strong light environment.
When the processor 60 determines that the electronic device 100 is in an interference environment, that is, the electronic device 100 is in an infrared light or strong light environment, the processor 60 controls the fill light 30 to turn off, the fingerprint sensor 20 collects a first image 201 under the infrared fill light 30, and the first image 202 only has a background image formed by infrared light or strong light in the environment penetrating through a finger or light leakage.
When the processor 60 determines that the electronic device 100 is not in the interference environment, the processor 60 does not turn off the fill light 30, so as to obtain the fingerprint image of the user by using a common fingerprint image obtaining method.
After the first image 201 is collected, the processor 60 may turn on the light supplement lamp 30 to collect a second image 202, where the second image 202 is a fingerprint image in which the infrared light emitted by the light supplement lamp 30 and the infrared light and the strong light in the environment coexist.
Since the interval time for obtaining the first image 201 and the second image 202 is very short, the position where the user presses the fingerprint is hardly changed, and the difference between the first image 201 and the second image 202 is that the second image 202 is imaged by more infrared light of the fill light 30. Therefore, the difference between the gray values of the first image 201 and the second image 202 can be used to obtain the fingerprint identification image 203 by subtracting the gray values of the first image 201 and the second image 202, and the fingerprint identification image 203 is a fingerprint image without environmental interference.
More, since the fingerprint identification image 203 obtained by the first image 201 and the second image 202 needs to be calculated, a relatively large amount of time is consumed, and the user can be set to unlock the fingerprint for the first time without detecting the interference environment. If the first fingerprint unlocking fails, the processor 60 sends a command to the detection component to detect an interference environment, and if the electronic device 100 is detected to be in the interference environment, the fingerprint unlocking is performed by using the method described in the embodiment of the present application. Thus, the fingerprint unlocking speed can be improved on the whole.
In some embodiments, processor 60 is configured to obtain ambient infrared light intensity around electronic device 100; and for determining that the electronic device 100 is in an interference environment when the ambient infrared light intensity is greater than the infrared light threshold. Thus, it can be determined whether the electronic device 100 is in an infrared light interference environment.
Referring to fig. 8 and 10, in some embodiments, the processor 60 is configured to obtain an infrared light signal collected by the proximity sensor 40 of the electronic device 100; and is used for determining the intensity of the ambient infrared light according to the infrared light signal. Thus, the infrared light intensity in the environment where the electronic device 100 is located can be obtained.
In some embodiments, the processor 60 is configured to obtain an ambient light intensity around the electronic device 100; and for determining that the electronic device 100 is in an interference environment when the ambient light intensity is greater than the ambient light threshold. Thus, it can be determined whether the electronic device 100 is in a strong light interference environment.
Referring to fig. 2, 8 and 10, in some embodiments, the processor 60 is configured to obtain an ambient light signal collected by the light sensor 50 of the electronic device 100; and for determining the intensity of the ambient light from the ambient light signal. In this way, the visible light intensity in the environment in which the electronic device 100 is located can be obtained.
In some embodiments, processor 60 is configured to determine a first grayscale value for first image 201 and a second grayscale value for second image 202; and for forming a fingerprint identification image 203 based on the difference between the first gray value and the second gray value. Therefore, the fingerprint identification image without interference environment influence can be obtained, and the unlocking rate of the fingerprint is improved.
Since the interval time for obtaining the first image 201 and the second image 202 is very short, the position where the user presses the fingerprint is hardly changed, and the difference between the first image 201 and the second image 202 is that the second image 202 is imaged by more infrared light of the fill light 30. Therefore, the processor 60 may be used to obtain the gray values of the first image 201 and the second image 202, and the difference between the gray values of the first image 201 and the second image 202 may be used to obtain the fingerprint identification image 203 by subtracting the gray values of the first image 201 and the second image 202, where the fingerprint identification image 203 is a fingerprint image without environmental interference.
Referring to fig. 10, fig. 10 is a schematic diagram illustrating internal modules of an electronic device 100 according to an embodiment. The electronic device 100 includes a processor 60, a memory 80 (e.g., a non-volatile storage medium), an internal memory 90, a liquid crystal display module 10, a fingerprint sensor 20, a fill-in light 30, a proximity sensor 40, and a light sensor 50, which are connected via a system bus 70. The memory 80 of the electronic device 100 stores, among other things, an operating system and computer-readable instructions. The computer readable instructions are executable by the processor 60 to implement the fingerprint acquisition method according to any one of the above embodiments.
The processor 60 may be used to provide computing and control capabilities that support the operation of the overall electronic device 100. The internal memory 90 of the electronic device 100 provides an environment for the execution of computer-readable instructions in the memory 80.
The input device 110 may also be a key, a track ball, or a touch pad disposed on the housing of the electronic device 100, or an external keyboard, a touch pad, or a mouse.
In one example, when the user presses the fingerprint at the position of the liquid crystal display module 10 corresponding to the fingerprint unlocking position, the processor 60 issues an instruction through the system bus to enable the proximity sensor 40 to perform infrared light detection and enable the optical sensor 50 to perform light intensity detection, the detection result is transmitted to the processor 60 through the system bus 70, the processor 60 makes a corresponding judgment, and a control instruction is transmitted through the system bus 70 to enable the light supplement lamp to be turned on or turned off. A fingerprint identification image is then derived from the first and second images acquired by the fingerprint sensor 20 to unlock the electronic device 100.
The present application also provides a non-transitory computer-readable storage medium containing computer-executable instructions that, when executed by the processor 60, cause the processor 60 to perform any of the above embodiments of the fingerprint acquisition method.
It will be appreciated by those skilled in the art that the configurations shown in the figures are merely schematic representations of portions of configurations relevant to the present disclosure, and do not constitute limitations on the electronic devices to which the present disclosure may be applied, and that a particular electronic device may include more or fewer components than shown in the figures, or may combine certain components, or have a different arrangement of components.
It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by hardware related to instructions of a computer program, and the program may be stored in a non-volatile computer readable storage medium, and when executed, may include the processes of the embodiments of the methods as described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), or the like.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (13)
1. The utility model provides a fingerprint collection method for electron device, electron device includes the liquid crystal display module assembly, all sets up fingerprint sensor and light filling lamp in liquid crystal display module assembly below, its characterized in that, fingerprint collection method includes:
under the condition that the electronic device is in an interference environment, the light supplement lamp is turned off, and a first image is collected through the fingerprint sensor;
turning on the light supplement lamp and collecting a second image through the fingerprint sensor;
and forming a fingerprint identification image according to the first image and the second image.
2. The fingerprint acquisition method according to claim 1, characterized in that the fingerprint acquisition method comprises:
acquiring the intensity of ambient infrared light around the electronic device;
and when the ambient infrared light intensity is greater than the infrared light threshold value, determining that the electronic device is in the interference environment.
3. The fingerprint acquisition method according to claim 2, wherein acquiring the intensity of ambient infrared light around the electronic device comprises:
acquiring an infrared light signal acquired by a proximity sensor of the electronic device;
and determining the ambient infrared light intensity according to the infrared light signal.
4. A fingerprint acquisition method according to any one of claims 1 to 3, characterized in that it comprises:
acquiring the intensity of ambient light around the electronic device;
determining that the electronic device is in the interference environment when the ambient light intensity is greater than an ambient light threshold.
5. The fingerprint acquisition method of claim 4, wherein obtaining the ambient light intensity around the electronic device comprises:
acquiring an ambient light signal acquired by a light sensor of the electronic device;
determining the ambient light intensity from the ambient light signal.
6. The fingerprint acquisition method of claim 1, wherein forming a fingerprint identification image from the first image and the second image comprises:
determining a first gray value of the first image and a second gray value of the second image;
and forming the fingerprint identification image according to the difference value of the first gray value and the second gray value.
7. An electronic device is characterized by comprising a liquid crystal display module, a fingerprint sensor, a light supplement lamp and a processor, wherein the fingerprint sensor, the light supplement lamp and the processor are all arranged below the liquid crystal display module, and the processor is used for turning off the light supplement lamp and collecting a first image through the fingerprint sensor under the condition that the electronic device is in an interference environment; the light supplement lamp is started and a second image is collected through the fingerprint sensor; and for forming a fingerprint identification image from the first image and the second image.
8. The electronic device of claim 7, wherein the processor is configured to obtain an ambient infrared light intensity around the electronic device; and the electronic device is determined to be in the interference environment when the ambient infrared light intensity is greater than the infrared light threshold.
9. The electronic device of claim 8, wherein the processor is configured to obtain an infrared light signal collected by a proximity sensor of the electronic device; and the infrared light intensity detector is used for determining the ambient infrared light intensity according to the infrared light signal.
10. The electronic device according to any of claims 7-9, wherein the processor is configured to obtain an ambient light intensity around the electronic device; and means for determining that the electronic device is in the interference environment when the ambient light intensity is greater than an ambient light threshold.
11. The electronic device of claim 10, wherein the processor is configured to obtain an ambient light signal collected by a light sensor of the electronic device; and for determining the ambient light intensity from the ambient light signal.
12. The electronic device of claim 7, wherein the processor is configured to determine a first grayscale value for the first image and a second grayscale value for the second image; and the fingerprint identification image is formed according to the difference value of the first gray value and the second gray value.
13. A non-transitory computer-readable storage medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform the fingerprint acquisition method of any one of claims 1-6.
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| CN113065487A (en) * | 2021-04-09 | 2021-07-02 | 深圳市汇顶科技股份有限公司 | Fingerprint identification method and device and electronic equipment |
| EP4224363A4 (en) * | 2020-11-12 | 2024-03-20 | Huawei Tech Co Ltd | Electronic device |
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| EP4224363A4 (en) * | 2020-11-12 | 2024-03-20 | Huawei Tech Co Ltd | Electronic device |
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| CN113065487B (en) * | 2021-04-09 | 2023-01-31 | 深圳市汇顶科技股份有限公司 | Fingerprint identification method and device and electronic equipment |
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