CN112183401A - Image acquisition method, chip and image acquisition device - Google Patents
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
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Abstract
The application provides an image acquisition method, which comprises the following steps: acquiring the threshold variation of the image acquisition device under the current induction threshold; controlling the triggering of the image acquisition device according to the threshold variation; if the image acquisition device is triggered, controlling the image acquisition device to acquire an image; calculating parameters of the acquired image; and comparing the parameters with the parameter threshold value, and updating the current induction threshold value according to the comparison result. The application also provides a biological identification chip and an image acquisition device. The quality of the image collected by the image collecting device can be improved.
Description
Technical Field
The application relates to the technical field of image recognition, in particular to an image acquisition method, a chip and an image acquisition device.
Background
An image capture device, such as a fingerprint sensor, is a sensor device for imaging a fingerprint. Have been widely used in access control systems, attendance systems, mobile terminals such as cell phones and tablet computers, for verifying the identity of a user. Fingerprint identification methods include optical, capacitive, and ultrasonic. In the prior art, capacitive fingerprint identification is performed by obtaining capacitance characteristics of each local position of a finger effective area and forming a fingerprint image by using the variation of capacitance.
In order to reduce power consumption, the capacitive fingerprint sensor has a fingerprint detection mode before fingerprint image scanning is carried out, so that whether a fingerprint is close to the capacitive fingerprint sensor is determined, and when the fingerprint is close to the capacitive fingerprint sensor, an image scanning mode is started to obtain a fingerprint image. Generally, a threshold is set in the fingerprint detection mode, and the image scanning mode is activated when the detected variation exceeds the set threshold. Currently, the threshold of the fingerprint detection mode is generally set to a fixed value empirically during debugging. However, in practical applications, the thickness difference caused by the packaging process or the difference of the packaging material may cause the sensitivity to be individually different due to the difference of the sensitivity of the fingerprint sensor itself. The same threshold value is different on different fingerprint sensors, and some fingerprint sensors have low sensitivity and need to be pressed with little force to react, so that the user experience is poor; some of the sensors are too sensitive, and are not triggered when the sensors are completely contacted, so that the quality of read images is poor, and the unlocking success rate of a user is also influenced.
Disclosure of Invention
In view of the above problems, the present application provides an image capturing method, a chip and an image capturing device, which can improve the quality of an image captured by the image capturing device.
A first aspect of the present application provides an image acquisition method, the method comprising: acquiring the threshold variation of the image acquisition device under the current induction threshold; determining whether the image acquisition device is triggered according to the threshold variation; if the image acquisition device is triggered, controlling the image acquisition device to acquire an image; calculating parameters of the acquired image; and comparing the parameters with the parameter threshold, and updating the current induction threshold according to the comparison result, wherein the updated induction threshold is used for judging whether the image acquisition device is triggered after the next image acquisition.
According to some embodiments of the present application, before obtaining the threshold variation of the image capturing device under the current sensing threshold, the method further includes: and setting an initial induction threshold value of the image acquisition device.
According to some embodiments of the present application, the updated sensing threshold is less than or equal to one-half of the current threshold change amount.
According to some embodiments of the present application, the updating the current sensing threshold according to the comparison result includes:
if the parameter is smaller than the parameter threshold value, increasing the current induction threshold value; and
and if the parameter is larger than the parameter threshold value, reducing the current induction threshold value.
According to some embodiments of the present application, the updating the current sensing threshold comprises:
increasing or decreasing the current sensing threshold in fixed steps; or
Dynamically increasing or decreasing the current sensing threshold.
According to some embodiments of the present application, the determining whether the image capture device is triggered according to the threshold amount of change comprises:
judging whether the threshold variation is larger than or equal to a preset threshold or not;
if the threshold variation is larger than or equal to the preset threshold, determining that the image acquisition device is triggered;
and if the threshold variation is smaller than the preset threshold, determining that the image acquisition device is not triggered. A second aspect of the present application provides a biometric chip, the chip comprising:
the acquisition module is used for acquiring the threshold variation of the image acquisition device under the current induction threshold;
the determining module is used for determining whether the image acquisition device is triggered according to the threshold variation;
the control module is used for controlling the image acquisition device to acquire images if the image acquisition device is triggered;
the calculation module is used for calculating parameters of the acquired image;
and the updating module is used for comparing the parameters with the parameter threshold value and updating the current induction threshold value according to the comparison result, and the updated current induction threshold value is used for judging whether the image acquisition device is triggered after the next image acquisition.
According to some embodiments of the application, the chip further comprises: and the initialization module is used for setting an initialization induction threshold of the image acquisition device.
A third aspect of the present application provides an image capturing apparatus comprising: a processor; and a memory in which a plurality of program modules are stored, the program modules being loaded by the processor and executing the image acquisition method as described above.
According to the image acquisition method, the chip and the image acquisition device, whether the image acquisition device is triggered or not can be determined through the parameter variation of the image acquisition device under the induction threshold value set by initialization. And after the image acquisition device is determined to be triggered, acquiring an image of the object to be detected, calculating parameters of the acquired image, and dynamically adjusting the induction threshold value according to the parameters. The image acquisition device is triggered when the object to be detected is in good contact with the device, and the quality of the image acquired by the image acquisition device can be improved.
Drawings
Fig. 1 is a schematic flowchart of an image acquisition method according to an embodiment of the present application.
FIG. 2 is a schematic diagram of a biometric chip provided in an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an image capturing device according to an embodiment of the present disclosure.
Detailed Description
In order that the above objects, features and advantages of the present application can be more clearly understood, a detailed description of the present application will be given below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth to provide a thorough understanding of the present application, and the described embodiments are merely a subset of the embodiments of the present application and are not intended to be a complete embodiment.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
Referring to fig. 1, fig. 1 is a schematic flow chart of an image acquisition method according to an embodiment of the present application. The order of the steps in the flow chart may be changed and some steps may be omitted according to different needs. For convenience of explanation, only portions related to the embodiments of the present application are shown. The image acquisition method is applied to an image acquisition device.
In an embodiment, the image capturing device may be a fingerprint capturing device, and the fingerprint capturing device may be disposed in an intelligent terminal such as a mobile phone, a tablet computer, and an industrial device, and is configured to capture a fingerprint of a user for identity authentication. The fingerprint acquisition equipment can also be arranged in an attendance device and is used for acquiring fingerprints of users to check attendance and the like. The fingerprint acquisition device can be a device for acquiring fingerprint images by means of an optical fingerprint acquisition technology, a capacitive sensor fingerprint acquisition technology, an ultrasonic fingerprint acquisition technology, an electromagnetic fingerprint acquisition technology or the like. In other embodiments, the image capturing device may also be other texture image capturing devices such as a palm print capturing device.
In the prior art, the image capturing device generally includes an image detecting mode and an image scanning mode. The sensing threshold is a threshold set in the image detection mode. When the threshold variation detected by the image acquisition device exceeds the sensing threshold, the image acquisition device can be controlled to enter the image scanning mode from the image detection mode.
As shown in fig. 1, the image acquisition method includes the following steps.
And step S1, acquiring the threshold variation of the image acquisition device under the current induction threshold.
In this embodiment, whether the image capturing device is triggered under the current sensing threshold is determined by first obtaining a threshold variation of the image capturing device under the current sensing threshold and then comparing the threshold variation with a preset threshold.
It should be noted that the threshold variation is a physical variation of the image capturing device, and is different according to the difference of the image capturing devices. For example, when the image acquisition device is a capacitive fingerprint sensor, the threshold variation is a capacitance variation.
And step S2, controlling the triggering of the image acquisition device according to the threshold variation.
In this embodiment, whether the image capturing device is triggered under the current sensing threshold is determined by determining whether the threshold variation is greater than or equal to the preset threshold. If the threshold variation is greater than or equal to the preset threshold, determining that the image acquisition device is triggered under the current sensing threshold, and the process goes to step S4; and if the threshold variation is smaller than the first threshold preset threshold, determining that the image acquisition device is not triggered under the current sensing threshold.
In this embodiment, before the image capturing device performs image scanning, an image detection mode is activated to determine whether an object to be detected is close to the image capturing device. When it is determined that an object to be detected approaches the image acquisition device, acquiring a threshold variation of the image acquisition device under the current sensing threshold, controlling whether to trigger the image acquisition device according to the threshold variation, and starting an image scanning mode to acquire an image of the object to be detected after the image acquisition device is triggered.
Whether an object to be detected approaches the image acquisition device can be judged by detecting the threshold variation of the image acquisition device. When the threshold value variation of the image acquisition device is detected, determining that an object to be detected is close to the image acquisition device, acquiring the threshold value variation of the image acquisition device under the current induction threshold value, wherein the threshold value variation is greater than or equal to the preset threshold value, and triggering the image acquisition device to start an image scanning mode so as to acquire an image of the object to be detected; when the threshold value variation of the image acquisition device is not detected, determining that no object to be detected approaches the image acquisition device, and not triggering the image acquisition device to start an image scanning mode; when the threshold value variation of the image acquisition device is detected, the object to be detected is determined to be close to the image acquisition device, but the threshold value variation of the image acquisition device under the current induction threshold value is obtained, the threshold value variation is smaller than the preset threshold value, and the image acquisition device is not triggered to start the image scanning mode.
For example, when the image capturing device is a fingerprint sensor, the fingerprint sensor performs fingerprint detection before capturing a fingerprint image to determine whether a fingerprint is close to the fingerprint sensor. And when the fingerprint is confirmed to be close to the fingerprint sensor and the capacitance variation exceeds the preset threshold value, starting an image scanning mode to acquire a fingerprint image.
And step S3, controlling the image acquisition device to acquire images.
In this embodiment, after the image scanning mode is started, the image capturing device is triggered under the current sensing threshold, so that the image can be scanned and captured.
And step S4, calculating the parameters of the acquired image.
In this embodiment, the parameter of the image is a parameter that can characterize the image quality. For example, the parameters of the image include one or more of a gray mean, a gray variance, a small gradient dominance, a large gradient dominance, a gray distribution heterogeneity, a gradient distribution heterogeneity, energy, a gray mean, a gradient mean variance, correlation, a gray entropy, a gradient entropy, a mixture entropy, a differential moment, an inverse differential moment, and the like.
And S5, comparing the parameters with the parameter threshold value, and saving or adjusting the current induction threshold value according to the comparison result.
In this embodiment, the parameter threshold is a parameter value preset by a developer according to experience after a large number of images are collected. And the image with the parameter value reaching the parameter threshold value proves that the quality of the image meets the requirement, and the image is an ideal image. For example, when the image capturing device is a fingerprint capturing apparatus, the ideal image is an image with good fingerprint image quality. For example, the ridge line and the valley line of the fingerprint image are clear, and the phenomena of adhesion and fracture are avoided.
In this embodiment, the adjusting the current sensing threshold according to the comparison result includes:
if the parameter representing the image quality is smaller than the parameter threshold, the current image quality is judged to be poor, the current induction threshold needs to be improved, and when the subsequent image acquisition is ensured, the image acquisition device needs to be triggered after the object to be detected is pressed, so that the image with better quality than the current quality can be read. And if the parameter is larger than the parameter threshold, judging that the current image quality is good, and reducing the current induction threshold to improve the sensitivity of triggering the image acquisition device. The adjusted sensing threshold is updated to a subsequently used sensing threshold. And if the difference value between the parameter and the parameter threshold value is within a set error range, judging that the current image quality meets the requirement, and storing the current induction threshold value for continuous use. It should be noted that, if the parameter representing the image quality is equal to the parameter threshold, it is determined that the current image quality is unchanged, and the current sensing threshold does not need to be adjusted.
In one embodiment, the current sensing threshold may be adjusted by a fixed step size (e.g., step size of 2), or may be adjusted by a dynamic step size. It should be noted that the adjusted sensing threshold is less than or equal to one half of the threshold variation, and at the same time, cannot be less than the minimum sensing threshold, and cannot be greater than the maximum sensing threshold, and the adjusted sensing threshold is updated to the sensing threshold used next time.
The image pickup means starts the next image pickup from step S1.
Further, the present invention also includes the steps of: and setting an initial induction threshold value of the image acquisition device.
In one embodiment, in order to ensure that the sensing threshold is not abnormal, the developer empirically sets a minimum sensing threshold Tmin and a maximum sensing threshold Tmax, and the sensing threshold between the minimum sensing threshold and the maximum sensing threshold is normal. Typically, the image capture device will set the sensing threshold to Tmin upon initialization.
And then acquiring the threshold variation of the image acquisition device under the initial induction threshold. If the threshold variation is larger than or equal to the initialization induction threshold, the image acquisition device triggers an image scanning mode, so that the image can be scanned and acquired. And reducing or increasing the first threshold of the initialized induction threshold or continuously adopting the initialized induction threshold according to the comparison result of the parameters of the acquired images and the parameter threshold.
Fig. 1 introduces the threshold adjustment of the present application in detail, and by the method, the sensing threshold of the image acquisition device is triggered by real-time adjustment, so that the image acquisition device can be ensured to be triggered after being in good contact with an object to be detected, the image acquisition device can be ensured to read an image with good quality, the sensitivity can be properly adjusted, and the image acquisition efficiency is improved. The functional modules of the software chip and the hardware device architecture for implementing the threshold adjustment are described below with reference to fig. 2 and 3. It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
Fig. 2 is a structural diagram of a biometric chip according to an embodiment of the present application.
In some embodiments, the biometric chip 200 may include a plurality of functional modules composed of program code segments to implement the threshold adjustment function.
Referring to fig. 2, in the present embodiment, the biometric chip 200 may be divided into a plurality of functional modules according to the functions performed by the biometric chip, and the functional modules are used for performing the steps of the corresponding embodiment of fig. 1 to realize the threshold adjustment function. In this embodiment, the functional blocks of the biometric chip 200 include: an initialization module 201, an acquisition module 202, a determination module 203, a control module 204, a calculation module 205, and an update module 206. The functions of the respective functional blocks will be described in detail in the following embodiments.
The initialization module 201 is configured to set an initialization sensing threshold of the image capturing device, and store a minimum sensing threshold Tmin and a maximum sensing threshold Tmax which are set by a developer according to experience, where the initialization sensing threshold of the image capturing device is preferably the minimum sensing threshold Tmin.
In the prior art, the image capturing device generally includes an image detecting mode and an image scanning mode. The sensing threshold is a threshold set in the image detection mode. When the threshold variation detected by the image acquisition device exceeds the sensing threshold, the image acquisition device can be controlled to enter the image scanning mode from the image detection mode. Generally, the sensing threshold is a fixed value set by a developer according to experience when the image capturing device is debugged.
In one embodiment, in order to ensure that the sensing threshold is not abnormal, the sensing threshold is set to dynamically fluctuate between a minimum sensing threshold and a maximum sensing threshold.
The obtaining module 202 is configured to obtain a threshold variation of the image capturing apparatus under a current sensing threshold.
In this embodiment, whether the image capturing device is triggered under the current sensing threshold is determined by first obtaining a threshold variation of the image capturing device under the current sensing threshold and then comparing the threshold variation with a preset threshold.
It should be noted that the threshold variation is a physical variation of the image capturing device, and is different according to the difference of the image capturing devices. For example, when the image acquisition device is a capacitive fingerprint sensor, the threshold variation is a capacitance variation.
The determining module 203 is configured to control triggering of the image capturing apparatus according to the threshold variation.
In this embodiment, the determining module 203 determines whether the image capturing device is triggered under the current sensing threshold by determining whether the threshold variation is greater than or equal to a preset threshold. If the threshold variation is greater than or equal to the preset threshold, the determining module 203 determines that the image capturing apparatus is triggered under the current sensing threshold; if the threshold variation is smaller than the preset threshold, the determining module 203 determines that the image capturing apparatus is not triggered under the current sensing threshold.
In this embodiment, before the image capturing device performs image scanning, an image detection mode is activated to determine whether an object to be detected is close to the image capturing device. When it is determined that an object to be detected approaches the image acquisition device, acquiring the current variation of the image acquisition device under the current sensing threshold value, controlling whether to trigger the image acquisition device according to the current variation, and starting an image scanning mode to acquire an image of the object to be detected after the image acquisition device is triggered.
Whether an object to be detected approaches the image acquisition device can be judged by detecting the threshold variation of the image acquisition device. When the threshold value variation of the image acquisition device is detected, determining that an object to be detected is close to the image acquisition device, acquiring the threshold value variation of the image acquisition device under the current induction threshold value, wherein the threshold value variation is greater than or equal to the preset threshold value, and triggering the image acquisition device to start an image scanning mode so as to acquire an image of the object to be detected; when the threshold value variation of the image acquisition device is not detected, determining that no object to be detected approaches the image acquisition device, and not triggering the image acquisition device to start an image scanning mode; when the threshold value variation of the image acquisition device is detected, the object to be detected is determined to be close to the image acquisition device, but the threshold value variation of the image acquisition device under the current induction threshold value is obtained, the threshold value variation is smaller than the preset threshold value, and the image acquisition device is not triggered to start the image scanning mode.
For example, when the image capturing device is a fingerprint sensor, the fingerprint sensor performs fingerprint detection before capturing a fingerprint image to determine whether a fingerprint is close to the fingerprint sensor. And when the fingerprint is confirmed to be close to the fingerprint sensor and the capacitance variation exceeds the preset threshold value, starting an image scanning mode to acquire a fingerprint image.
The control module 204 is configured to control the image capturing device to capture an image.
In this embodiment, after the image scanning mode is started, the image capturing device is triggered at the current threshold, so that the image can be scanned and captured.
The calculation module 205 is configured to calculate parameters of the acquired image.
In this embodiment, the parameter of the image is a parameter that can characterize the image quality. For example, the parameters of the image include one or more of a gray mean, a gray variance, a small gradient dominance, a large gradient dominance, a gray distribution heterogeneity, a gradient distribution heterogeneity, energy, a gray mean, a gradient mean variance, correlation, a gray entropy, a gradient entropy, a mixture entropy, a differential moment, an inverse differential moment, and the like.
The update module 206 is configured to compare the parameter with a parameter threshold, and store or adjust the current sensing threshold according to a comparison result.
In this embodiment, the parameter threshold is a parameter value preset by a developer according to experience after a large number of images are collected. And the image with the parameter value reaching the parameter threshold value proves that the quality of the image meets the requirement, and the image is an ideal image. For example, when the image capturing device is a fingerprint capturing apparatus, the ideal image is an image with good fingerprint image quality. For example, the ridge line and the valley line of the fingerprint image are clear, and the phenomena of adhesion and fracture are avoided.
In this embodiment, the adjusting the current sensing threshold according to the comparison result includes:
if the parameter representing the image quality is smaller than the parameter threshold, the current image quality is judged to be poor, the current induction threshold needs to be improved, and when the subsequent image acquisition is ensured, the image acquisition device needs to be triggered after the object to be detected is pressed, so that the image with better quality than the current quality can be read. And if the parameter is larger than the parameter threshold, judging that the current image quality is good, and reducing the current induction threshold to improve the sensitivity of triggering the image acquisition device. And updating the adjusted current sensing threshold value into a sensing threshold value used subsequently. And if the difference value between the parameter and the parameter threshold value is within a set error range, judging that the current image quality meets the requirement, and storing the current induction threshold value for continuous use. It should be noted that, if the parameter representing the image quality is equal to the parameter threshold, it is determined that the current image quality is unchanged, and the current sensing threshold does not need to be adjusted.
In one embodiment, the current sensing threshold may be adjusted by a fixed step size (e.g., step size of 2), or may be adjusted by a dynamic step size. It should be noted that the adjusted sensing threshold is less than or equal to one half of the threshold variation, and at the same time, cannot be less than the minimum sensing threshold, and cannot be greater than the maximum sensing threshold, and the adjusted sensing threshold is updated to the sensing threshold used next time.
Fig. 3 is a schematic functional block diagram of an image capturing device according to an embodiment of the present disclosure. The image acquisition apparatus 10 comprises a memory 11, a processor 12 and a computer program 13, such as a program for image acquisition, stored in the memory 11 and executable on the processor 12.
In the present embodiment, the image capturing device 10 may be, but is not limited to, a texture image capturing device such as a mobile phone, a tablet computer, and a fingerprint attendance machine.
The processor 12, when executing the computer program 13, implements the steps of threshold adjustment in the above method embodiments for adjusting the sensing threshold of the image capturing device 10. Alternatively, the processor 13 executes the computer program 13 to realize the functions of the modules/units in the chip embodiments.
Illustratively, the computer program 13 may be partitioned into one or more modules/units, which are stored in the memory 11 and executed by the processor 12 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 13 in the image capturing apparatus 10. For example, the computer program 13 may be partitioned into modules 201 and 206 in FIG. 2.
It will be understood by those skilled in the art that the schematic diagram 3 is merely an example of the image capturing apparatus 10, and does not constitute a limitation to the image capturing apparatus 10, and that the image capturing apparatus 10 may include more or less components than those shown, or some components may be combined, or different components may be included, for example, the image capturing apparatus 10 may further include an input/output device, etc.
The Processor 12 may be a Central Processing Unit (CPU), and may include other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and the processor 12 is a control center of the image capturing apparatus 10 and connects various parts of the entire image capturing apparatus 10 by various interfaces and lines.
The memory 11 may be used to store the computer program 13 and/or the module/unit, and the processor 12 may implement various functions of the image capturing apparatus 10 by running or executing the computer program and/or the module/unit stored in the memory 11 and calling up data stored in the memory 11. The storage 11 may include an external storage medium and may also include a memory. In addition, the memory 11 may include a high speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The integrated modules/units of the image capturing apparatus 10 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as independent products. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer-readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present application and not for limiting, and although the present application is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present application without departing from the spirit and scope of the technical solutions of the present application.
Claims (10)
1. An image acquisition method, characterized in that the method comprises:
acquiring the threshold variation of the image acquisition device under the current induction threshold;
determining whether the image acquisition device is triggered according to the threshold variation;
if the image acquisition device is triggered, controlling the image acquisition device to acquire an image;
calculating parameters of the acquired image;
and comparing the parameters with the parameter threshold, and updating the current induction threshold according to the comparison result, wherein the updated induction threshold is used for judging whether the image acquisition device is triggered after the next image acquisition.
2. The method of claim 1, wherein before obtaining the threshold amount of change of the image capture device below the current sensing threshold, the method further comprises
And setting an initial induction threshold value of the image acquisition device.
3. The image acquisition method of claim 1, wherein the updated sensing threshold is less than or equal to one-half of the current threshold change amount.
4. The image capturing method of claim 1, wherein the updating the current sensing threshold according to the comparison comprises:
if the parameter is smaller than the parameter threshold value, increasing the current induction threshold value; and
and if the parameter is larger than the parameter threshold value, reducing the current induction threshold value.
5. The image acquisition method of claim 4, wherein said updating the current sensing threshold comprises:
increasing or decreasing the current sensing threshold in fixed steps; or
Dynamically increasing or decreasing the current sensing threshold.
6. The image capturing method of claim 1, wherein said determining whether the image capturing device is triggered based on the threshold amount of change comprises:
judging whether the threshold variation is larger than or equal to a preset threshold or not;
if the threshold variation is larger than or equal to the preset threshold, determining that the image acquisition device is triggered;
and if the threshold variation is smaller than the preset threshold, determining that the image acquisition device is not triggered.
7. A biometric chip, the chip comprising:
the acquisition module is used for acquiring the threshold variation of the image acquisition device under the current induction threshold;
the determining module is used for determining whether the image acquisition device is triggered according to the threshold variation;
the control module is used for controlling the image acquisition device to acquire images if the image acquisition device is triggered;
the calculation module is used for calculating parameters of the acquired image;
and the updating module is used for comparing the parameters with the parameter threshold value and updating the current induction threshold value according to the comparison result, and the updated current induction threshold value is used for judging whether the image acquisition device is triggered after the next image acquisition.
8. The biometric chip of claim 7, wherein the chip further comprises:
and the initialization module is used for setting an initialization induction threshold of the image acquisition device.
9. The biometric chip of claim 7, wherein the update module is further to:
if the parameter is smaller than the parameter threshold value, increasing the current induction threshold value; and
and if the parameter is larger than the parameter threshold value, reducing the current induction threshold value.
10. An image capturing apparatus, characterized in that the image capturing apparatus comprises:
a processor; and
memory in which a plurality of program modules are stored, which are loaded by the processor and execute the image acquisition method according to any one of claims 1 to 6.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011063436.7A CN112183401A (en) | 2020-09-30 | 2020-09-30 | Image acquisition method, chip and image acquisition device |
| TW109138326A TWI777282B (en) | 2020-09-30 | 2020-11-03 | Image collecting method, chip, and image collection device |
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|---|---|---|---|
| CN202011063436.7A CN112183401A (en) | 2020-09-30 | 2020-09-30 | Image acquisition method, chip and image acquisition device |
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| CN106258009A (en) * | 2015-04-16 | 2016-12-28 | 华为技术有限公司 | A kind of gather the method for fingerprint, fingerprint capturer and terminal |
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