CN111401327A - Inspection method, electronic device, and storage medium - Google Patents

Inspection method, electronic device, and storage medium Download PDF

Info

Publication number
CN111401327A
CN111401327A CN202010316654.0A CN202010316654A CN111401327A CN 111401327 A CN111401327 A CN 111401327A CN 202010316654 A CN202010316654 A CN 202010316654A CN 111401327 A CN111401327 A CN 111401327A
Authority
CN
China
Prior art keywords
image
electronic device
fingerprint sensor
identification
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010316654.0A
Other languages
Chinese (zh)
Inventor
贾玉虎
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Oppo Mobile Telecommunications Corp Ltd
Original Assignee
Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Oppo Mobile Telecommunications Corp Ltd filed Critical Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority to CN202010316654.0A priority Critical patent/CN111401327A/en
Publication of CN111401327A publication Critical patent/CN111401327A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/13Sensors therefor
    • G06V40/1324Sensors therefor by using geometrical optics, e.g. using prisms
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/10Image acquisition
    • G06V10/12Details of acquisition arrangements; Constructional details thereof
    • G06V10/14Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/145Illumination specially adapted for pattern recognition, e.g. using gratings
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/30Noise filtering

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Optics & Photonics (AREA)
  • Human Computer Interaction (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Collating Specific Patterns (AREA)
  • Image Input (AREA)

Abstract

The application discloses a checking method, an electronic device and a storage medium. The inspection method comprises the following steps: acquiring an image of the stripe fingerprint mold as a first image; processing the first image to obtain an identification image; determining the polarization angle of a polarizer of the electronic device according to the identification image; and when the polarization angle is within a preset angle range, determining that the electronic device is qualified. Therefore, the inspection method processes the first image acquired by the fingerprint sensor to obtain the identification image, acquires the polarization angle of the polarizer according to the image characteristics of the identification image, and can inspect the electronic device with the polarization angle of the identification image not conforming to the preset angle so as to inspect the electronic device with the polarization angle of the polarizer being unqualified, and improve the fingerprint unlocking rate of the electronic device after delivery.

Description

Inspection method, electronic device, and storage medium
Technical Field
The present application relates to the field of electronic technologies, and in particular, to a verification method, an electronic device, and a storage medium.
Background
In the production process of the electronic device, if the polarization direction of the polarizer in the screen changes, when the fingerprint is unlocked, the fingerprint algorithm can easily identify the correct fingerprint as a false fingerprint, so that the fingerprint identification cannot be realized, the fingerprint identification performance of the electronic device after leaving the factory is poor, and the fingerprint unlocking rate is reduced.
Disclosure of Invention
The application discloses a checking method, an electronic device and a storage medium.
The inspection method of the present application includes: acquiring an image of the stripe fingerprint mold as a first image; processing the first image to obtain an identification image; determining the polarization angle of a polarizer of the electronic device according to the identification image; and when the polarization angle is within a preset angle range, determining that the electronic device is qualified.
The application also provides an electronic device, which comprises a display screen, a fingerprint sensor arranged below the display screen and a processor of the fingerprint sensor on the face, wherein the processor is used for acquiring an image of a stripe fingerprint mold as a first image; processing the first image to obtain an identification image; determining the polarization angle of a polarizer of the electronic device according to the identification image; and when the polarization angle is within a preset angle range, determining that the electronic device is qualified.
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 verification method described in the above embodiments.
In the inspection method, the electronic device and the storage medium, the first image acquired by the fingerprint sensor is processed to obtain the identification image, the polarization angle of the polarizer is acquired through the image characteristics of the identification image, and the electronic device with the polarization angle of the identification image not conforming to the preset angle can be inspected so as to inspect the electronic device with the polarization angle of the polarizer being unqualified.
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 an inspection method according to an embodiment of the present application;
FIG. 2 is a schematic plan view of an electronic device according to an embodiment of the present application;
FIG. 3 is a schematic view of a scenario of an inspection method according to an embodiment of the present application;
FIG. 4 is a schematic diagram illustrating the polarization direction acquisition process of the inspection method according to the embodiment of the present application;
FIG. 5 is a schematic cross-sectional view of an electronic device according to an embodiment of the present application;
FIG. 6 is another schematic flow diagram of an inspection method according to an embodiment of the present application;
FIG. 7 is another schematic flow diagram of an inspection method according to an embodiment of the present application;
FIG. 8 is another schematic flow diagram of an inspection method according to an embodiment of the present application;
FIG. 9 is a further schematic flow chart of the inspection method of an embodiment of the present application;
FIG. 10 is a schematic flow chart of an inspection method according to an embodiment of the present application;
fig. 11 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:
electronic device 100, display screen 10, polarizer 11, cover plate 12, display layer 13, fingerprint mold 101, fingerprint sensor 20, first image 201, identification image 204, bright band 2041, dark area 2042, processor 30, memory 40, internal memory 50, input device 60, and system bus 70.
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.
With the development of electronic technology, a self-luminous O L ED (Organic L light-Emitting Diode) panel can Display contents without a polarizer relative to a L CD (L essential Crystal Display) panel, but external light is reflected by components of the O L ED panel, and a user can see himself from a screen.
Referring to fig. 1 and 2, an embodiment of the present application provides an inspection method. The inspection method is used for an electronic device. 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 apparatus 100 may be a mobile phone, a portable game device, a laptop computer, a Personal Digital Assistant (PDA), a tablet computer (PAD), a portable internet device, a wearable device, a vehicle-mounted terminal, a navigator, a music player, a data storage device, and the like.
The inspection method of the embodiment of the application comprises the following steps:
s10, acquiring an image of the stripe fingerprint mold 101 as a first image 201;
s20, processing the first image 201 to obtain an identification image 204;
s30, determining the polarization angle of the polarizer of the electronic device 100 according to the identification image 204;
and S40, determining that the electronic device 100 is qualified when the polarization angle is within the preset angle range.
The electronic device 100 of the present application comprises a display screen 10, a fingerprint sensor 20 arranged below the display screen 10 and a processor 30 connected to the fingerprint sensor 20. Steps S10-S40 may also be performed by processor 30, or processor 30 may be configured to acquire an image of striped fingerprint die 101 as first image 201 via the fingerprint sensor 20; and for processing the first image 201 to obtain an identification image 204; and for determining the polarization angle of the polarizer 11 of the electronic device 100 from the identification image 204; and for determining that the electronic device 100 is qualified when the polarization angle is within the preset angle range.
In the inspection method and the electronic device 100 according to the embodiment of the application, the first image 201 acquired by the fingerprint sensor 20 may be processed to obtain the identification image 204, and then the polarization angle of the polarizer 11 is acquired through the image characteristics of the identification image 204, so that the electronic device 100 in which the polarization angle of the identification image 204 does not conform to the preset angle may be inspected, and the electronic device 100 in which the polarization angle of the polarizer 11 is not qualified may be inspected, so as to improve the fingerprint unlocking rate of the electronic device 100 after leaving the factory.
The fingerprint sensor 20 of the electronic device 100 of the embodiment of the present application acquires light passing through the polarizer 11 and forms a corresponding image, and the processor 30 executes the computer readable instructions to calculate the image acquired by the fingerprint sensor 20 so as to implement the inspection method of the embodiment of the present application.
Specifically, in step S10, in the verification process, in a certain brightness environment, the striped fingerprint mold 101 is used, the striped fingerprint mold 101 completely covers the fingerprint identification area corresponding to the fingerprint sensor 20, so that the fingerprint sensor 20 obtains the image of the striped fingerprint mold 101 as the first image 201, the striped fingerprint mold 101 may be flesh color, and the surface has a plurality of stripes to simulate fingerprint valleys and fingerprint ridges.
In step S20, the first image 201 may be processed by a predetermined algorithm to obtain the clearly displayed recognition image 204, for example, the first image 201 may be processed by an algorithm such as feature point recognition, image refinement, image noise filtering, etc. to obtain a recognition image with better quality.
In step S30, please refer to fig. 5, the display panel includes a polarizer 11, a cover plate 12, and a display layer 13, wherein the polarizer 11 is disposed between the cover plate 12 and the display layer 13. Since the fingerprint sensor 20 senses the light passing through the polarizer 11 to obtain fingerprint data, any image sensed and obtained by the fingerprint sensor 20 has an imaging characteristic of polarized light, so that the polarization direction of the polarized light 11 sensed by the fingerprint sensor 20 can be determined according to the imaging characteristic of the image, and the polarization direction of the polarizer 11 can be determined. Accordingly, the processor 30 may determine the polarization angle of the polarizer 11 by recognizing the image 204.
In step S40, the polarization direction of the polarizer 11 disposed on the electronic device 100 is usually 45 ° or 135 °, and when a batch of electronic devices 100 is produced, only the polarizer 11 with the polarization direction of 45 ° or 135 ° is used by the batch of electronic devices 100, so as to avoid confusion during installation into the electronic device 100. Therefore, when the polarization angle calculated by the processor 30 is equal to the predetermined angle, it can be determined that the polarization angle of the polarizer 11 is not abnormal, and the electronic device 100 can pass the inspection.
The inspection method of the embodiment of the application can be used for product inspection of an electronic device 100 production line, the electronic device 100 is used for inspection in cooperation with an external mold, abnormal products of the polaroid can be effectively prevented from flowing into the rear end of the production line, and the product yield is improved.
Referring to fig. 6, in some embodiments, step S20 includes:
s21, acquiring an image of the meat color head mould as a second image;
s22, acquiring an image of the black head die as a third image;
s23, the first image 201 is processed according to the second image and the third image to obtain the recognition image 204.
In some embodiments, steps S21-S23 may be performed by processor 30, or processor 30 may be configured to obtain an image of the flesh color head mold as a second image via the fingerprint sensor 20; and the image acquisition module is used for acquiring an image of the black head die as a third image; and for processing the first image 201 by means of said fingerprint sensor 20 on the basis of the second image and the third image to obtain an identification image 204.
Therefore, clear identification images 204 with large information amount can be obtained through the first image 201, the second image and the third image, so that more accurate polarization angles can be obtained, and the accuracy of the inspection process is improved.
Specifically, the flesh color head die is a flesh color plane die and is used for simulating a finger of a user without a fingerprint. And completely covering the fingerprint identification area corresponding to the fingerprint sensor by the flesh color head mould, so that the fingerprint sensor acquires the image of the flesh color head mould as a second image.
The black head mold is a pure black plane mold and is used for simulating a pressing state without any finger touch. And completely covering the fingerprint identification area corresponding to the fingerprint sensor by the black head mold, so that the fingerprint sensor acquires the image of the black head mold as a third image.
It should be noted that the ambient brightness of the first image, the second image and the third image is the same.
Referring to fig. 1 and 7, in some embodiments, step S23 includes:
s231, determining the background noise of the fingerprint sensor 20 of the electronic device 100 according to the second image and the third image;
s232, the first image 201 is processed according to the noise floor of the fingerprint sensor 20 to obtain the identification image 204.
In some embodiments, steps S231-S232 may be performed by the processor 30, or, in other words, the processor 30 is configured to determine the noise floor of the fingerprint sensor 20 of the electronic device 100 from the second image and the third image; and for processing the first image 201 on the basis of the noise floor of the fingerprint sensor 20 to obtain an identification image 204.
In this way, the background noise obtained from the second image and the third image can be used to obtain the background noise of the first image 201, and thus the identification image 204 can be obtained from the background noise and the first image 201.
Specifically, due to the existence of the internal circuit and each component of the display screen 10 and under different light environments, a noise floor may be formed on the fingerprint image acquired by the fingerprint sensor 20, and the noise floor affects the definition of the fingerprint image, so that the noise floor of the first image 201 needs to be removed to obtain the clearer identification image 204.
In one example, to eliminate a portion of the background noise caused by the internal circuitry and components of the display screen 10, an image with a portion of the background noise eliminated may be obtained by a difference in data between the first image 201 obtained by the flesh color fingerprint mold and the third image obtained by the black head mold. In particular, it can be appreciated that the fingerprint sensor 20, when capturing the first image 201 of the flesh tone fingerprint mold, includes a portion of the noise floor within the display screen 10 in the first image 201. When the fingerprint sensor 20 collects the third image of the black head mold, the third image only has a part of the background noise of the display screen 10 due to the use of the black head fingerprint mold.
In order to eliminate another part of the noise of the display screen 10 caused by the external light and the reflection of the light, it can be understood that the light received by the fingerprint sensor 20 includes three parts: the first part is light rays which directly propagate downwards; the second part is light rays which are transmitted upwards and directly reflected by the lower surface of the cover plate; the third portion is the light that exits the cover plate after traveling upward and is reflected back by the surface of the user's finger.
The fingerprint sensor 20 includes a plurality of pixel points for sensing light, and then, in order to eliminate the influence of the light of the first portion and the light of the second portion on the imaging of the fingerprint image, the pixel value output after each pixel point receives the light in the image sensor 20 needs to be calibrated, that is, the exposure information of each pixel point is calibrated.
Under the same external environment, covering the fingerprint identification area with a flesh color head mould and a black head mould respectively to obtain a second image and a third image, wherein the third image only has exposure information of a third part of light on pixel points when the black head mould is black and completely covers the fingerprint identification area, so that the other part of background noise can be determined through the exposure information of the second image and the third image on each pixel point.
In summary, two portions of the bottom noise are obtained from the second image and the third image, and then the identification image 204 without the bottom noise is obtained by combining the two portions of the bottom noise and the first image, so as to accurately determine the polarization direction of the polarized light forming the first image 201, and determine the polarization direction of the polarizer 11.
It should be noted that when the meat color head mold and the black head mold of the embodiment of the present application cover the fingerprint identification area, the fingerprint identification area needs to be completely covered, so as to reduce the interference of external environment factors when acquiring the exposure information and the interference information. Therefore, it is also necessary to cover the striped fingerprint mold 101 completely over the fingerprint identification area when acquiring the first image to obtain a final clearer identification image 204. Of course, in other embodiments, when a person in the art may reduce the influence of the environmental interference factor through other specific ways, the stripe fingerprint mold 101, the flesh color head mold, and the black head mold may also partially cover the fingerprint identification area, which is not described in detail in this specification.
Referring to fig. 8, in some embodiments, step S231 includes:
s2311, determining exposure information of the fingerprint sensor 20 from the second image;
s2312, determining interference information of the fingerprint sensor 20 according to the third image;
s2313, the background noise of the fingerprint sensor 20 is determined based on the exposure information and the interference information.
In some embodiments, steps S2311-S2313 may be performed by the processor 30, or the processor 30 may be configured to determine exposure information of the fingerprint sensor 20 from the second image; and for determining interference information of the fingerprint sensor 20 from the third image; the background noise of the fingerprint sensor 20 is determined based on the exposure information and the interference information.
In this way, the background noise of the fingerprint sensor 20 can be accurately determined based on the exposure information and the interference information.
In particular, since the second image is obtained by a flesh-tone head mold, the exposure process of the fingerprint sensor 20 to acquire the fingerprint of the finger can be simulated, thereby leaving exposure information on the second image.
The third image is obtained by a black head mold, which can simulate an image obtained by the fingerprint sensor 20 without a finger, i.e., a third image on which interference information of the electronic device itself exists.
The noise floor of the fingerprint sensor 20 of the electronic device 100 can thus be determined from the second image and the third image.
Referring to fig. 4 and 9, in some embodiments, step S30 includes:
s31, acquiring a bright band in the identification image 204;
s32, the angle a between the direction of the bright band 2041 and the vertical direction of the identification image 204 is determined as the polarization angle of the polarizer.
In some embodiments, steps S31-S32 may be performed by processor 30, or processor 30 may be configured to obtain bright bands 2041 in identification image 204; and for determining the angle a between the direction X of the bright stripes 2041 and the vertical direction of the identification image 204 as the polarization angle of the polarizer.
Thus, the direction X of the bright band 2041 is the polarization direction of the polarizer 11 by utilizing the physical characteristics of light imaging through the polarizer 11.
Specifically, processor 30 may obtain, through an image recognition algorithm, a central trend line of bright band 2041, where a direction X of the central trend line is a polarization direction of light forming recognition image 204, that is, a polarization direction of polarizer 11, and may obtain an included angle a between the polarization direction and a vertical direction as a polarization angle.
Note that the vertical direction of the recognition image 204 is the up-down direction as in fig. 4. It is understood that the fingerprint sensor 20 is generally square, the obtained first image 201 and the identification image 204 are also square, and the vertical direction of the identification image 204 is the direction in which the identification image 204 corresponds to the length direction of the fingerprint sensor 20, i.e. the vertical direction of the identification image 204 is the length direction of the identification image 204.
Referring to fig. 4 and 10, in some embodiments, step S30 includes:
s33, acquiring two dark regions 2042 opposite in the recognition image 204;
s34, the complementary angle of the angle b between the line connecting the two dark regions 2042 and the vertical direction of the identification image 204 is determined as the polarization angle of the polarizer 11.
In some embodiments, processor 30 is configured to acquire two dark regions 2042 opposite in identification image 204; and a complementary angle of an angle b between a line connecting the two dark regions 2042 and the vertical direction of the identification image 2044 is determined as a polarization angle of the polarizer 11.
In this manner, the polarization direction of the polarizer 11 is determined by the direction Y in which the two dark regions 2042 are connected, using the physical characteristics of light imaging through the polarizer 11.
Specifically, with reference to the above embodiment, it can be understood by those skilled in the art that after the light passing through the polarizer 11 is imaged, the direction of the bright band 2041 and the connecting line of the two dark regions 2042 are perpendicular to each other, and on the premise that the processor 30 calculates correctly, the remaining angle of the included angle b between the connecting line of the two dark regions 2042 and the vertical direction is the polarization direction.
The processor 30 may obtain the central points of the two dark regions 2042 through an image recognition algorithm, obtain a direction Y of a connection line connecting the central points of the two dark regions 2042, and calculate a complementary angle of an included angle b between the direction Y of the connection line and the vertical direction, that is, a polarization angle of the polarizer, to be perpendicular to the polarization direction of the light forming the recognition image 204, that is, to be perpendicular to the polarization direction of the polarizer.
It should be noted that the included angles described in the embodiments of the present application are all two straight line included angles, that is, acute angles.
More particularly, in some embodiments, the polarization direction of the polarizer 11 may also be determined according to the direction X of the bright band 2041 and the direction Y of the line connecting the two dark regions 2042, by using the physical characteristics of light imaging through the polarizer 11. Thus, the polarization direction determined by combining the two modes is more accurate.
In some embodiments, the assay method further comprises the steps of:
and when the polarization angle is not in the preset angle range, controlling the electronic device 100 to give alarm information. In this manner, the alarm information may prompt the operator to identify an unsatisfactory electronic device 100. The alarm information may be text information, sound information, image information, or the like.
For example, when the polarization angle is not within the preset angle range, the electro-acoustic element of the electronic device 100 may sound a buzzer to indicate that the electronic device 100 is not satisfactory.
Referring to fig. 11, fig. 11 is a schematic diagram illustrating internal modules of an electronic device 100 according to an embodiment. The electronic device 100 includes a fingerprint sensor 20, a processor 30, a memory 40 (e.g., a non-volatile storage medium), an internal memory 50, and an input device 60 connected by a system bus 70. The memory 40 of the electronic device stores, among other things, an operating system and computer-readable instructions. The computer readable instructions are executable by the processor 30 to implement the verification method of any one of the above embodiments.
The processor 30 may be used to provide computing and control capabilities, supporting the operation of the entire electronic device 100. The internal memory 50 of the electronic device 100 provides an environment for the execution of computer-readable instructions in the memory 40.
The input device 60 may be a key, a trackball or a touch pad provided on the housing of the electronic device 100, or an external keyboard, a touch pad or a mouse.
In one example, the meat color head mold, the black color head mold and the stripe fingerprint mold are sequentially covered on the fingerprint identification area of the electronic device 100, the processor 30 executes the computer readable instructions to enable the fingerprint sensor 20 to respectively acquire the first image, the second image and the third image, and the processor 30 stores the first image, the second image and the third image in the memory 30. The processor 30 determines the noise floor of the fingerprint sensor 20 from the second image and the third image and the processor 30 combines the noise floor of the fingerprint sensor 20 and the first image to derive the identification image by means of an algorithm in the memory 40. Processor 30 continues to execute the computer readable instructions and performs operations on internal memory 50 to derive the polarization angle of the light forming the identification image. Finally, the processor 30 compares the obtained polarization angle with a preset angle stored in the memory 40, and if the obtained polarization angle is equal to the preset angle, the electronic device 100 is qualified, and if the obtained polarization angle is not equal to the preset angle, the electronic device 100 is unqualified. The system bus 70 serves, among other things, as a data transfer in this process.
The present application also provides a non-transitory computer-readable storage medium containing computer-executable instructions that, when executed by the processor 30, cause the processor 30 to perform the verification method of any of the above embodiments.
It will be understood by those skilled in the art that the structure shown in fig. 11 is only a schematic diagram of a part of the structure related to the present application, and does not constitute a limitation to the electronic device 100 to which the present application is applied, and a specific electronic device 100 may include more or less components than those shown in the drawings, or combine some components, or have different component arrangements.
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 a computer program, which can be stored in a non-volatile computer readable storage medium, and the processes of the embodiments of the methods may be included when the computer program is executed. 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. An inspection method for an electronic device, the inspection method comprising:
acquiring an image of the stripe fingerprint mold as a first image;
processing the first image to obtain an identification image;
determining the polarization angle of a polarizer of the electronic device according to the identification image;
and when the polarization angle is within a preset angle range, determining that the electronic device is qualified.
2. The inspection method of claim 1, wherein processing the image of the striped fingerprint die to obtain an identification image comprises:
acquiring an image of the meat color head mould as a second image;
acquiring an image of the black head mold as a third image;
and processing the first image according to the second image and the third image to obtain the identification image.
3. The inspection method of claim 2, wherein processing the first image from the second image and the third image to obtain the identification image comprises:
determining a noise floor of a fingerprint sensor of the electronic device according to the second image and the third image;
and processing the first image according to the background noise of the fingerprint sensor to obtain an identification image.
4. The method of claim 3, wherein determining the noise floor of the fingerprint sensor of the electronic device from the second image and the third image comprises:
determining exposure information of the fingerprint sensor according to the second image;
determining interference information of the fingerprint sensor according to the third image;
and determining the background noise of the fingerprint sensor according to the exposure information and the interference information.
5. The inspection method of claim 1, wherein determining a polarization angle of a polarizer of the electronic device from the identification image comprises:
acquiring a bright band in the identification image;
determining an included angle between the direction of the bright band and the vertical direction of the identification image as a polarization angle of the polarizer.
6. The inspection method of claim 1, wherein determining a polarization angle of a polarizer of the electronic device from the identification image comprises:
acquiring two opposite dark areas in the identification image;
and determining a complementary angle of an included angle between a connecting line of the two dark regions and the vertical direction of the identification image as a polarization angle of the polarizer.
7. An electronic device, comprising:
a display screen;
the fingerprint sensor is arranged below the display screen; and
the processor is connected with the fingerprint sensor and used for acquiring an image of the stripe fingerprint mold as a first image through the fingerprint sensor; and processing the first image to obtain an identification image; and the polarization angle of the polarizer of the electronic device is determined according to the identification image; and the electronic device is determined to be qualified when the polarization angle is within a preset angle range.
8. The electronic device of claim 7, wherein the processor is configured to obtain an image of a flesh color head mold as a second image via the fingerprint sensor; the fingerprint sensor is used for acquiring an image of the black head die as a third image; and processing the first image according to the second image and the third image to obtain the identification image.
9. The electronic device of claim 8, wherein the processor is configured to determine a noise floor of a fingerprint sensor of the electronic device based on the second image and the third image; and the fingerprint sensor is used for processing the first image according to the background noise of the fingerprint sensor to obtain an identification image.
10. The electronic device of claim 9, wherein the processor is configured to determine exposure information for the fingerprint sensor from the second image; and interference information used for determining the fingerprint sensor according to the third image; and the fingerprint sensor is used for determining the background noise of the fingerprint sensor according to the exposure information and the interference information.
11. The electronic device of claim 7, wherein the processor is configured to obtain a bright band in the identification image; and the included angle between the direction of the bright band and the vertical direction of the identification image is determined as the polarization angle of the polarizer.
12. The electronic device of claim 7, wherein the processor is configured to obtain two dark regions opposite in the identification image; and determining a complementary angle of an included angle between a connecting line of the two dark regions and the vertical direction of the identification image as a polarization angle of the polarizer.
13. A non-transitory computer-readable storage medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform the verification method of any one of claims 1-6.
CN202010316654.0A 2020-04-21 2020-04-21 Inspection method, electronic device, and storage medium Pending CN111401327A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010316654.0A CN111401327A (en) 2020-04-21 2020-04-21 Inspection method, electronic device, and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010316654.0A CN111401327A (en) 2020-04-21 2020-04-21 Inspection method, electronic device, and storage medium

Publications (1)

Publication Number Publication Date
CN111401327A true CN111401327A (en) 2020-07-10

Family

ID=71433329

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010316654.0A Pending CN111401327A (en) 2020-04-21 2020-04-21 Inspection method, electronic device, and storage medium

Country Status (1)

Country Link
CN (1) CN111401327A (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101520558A (en) * 2008-02-29 2009-09-02 乐金显示有限公司 Inspection apparatus for liquid crystal display device and inspection method using the same
CN104280407A (en) * 2013-07-12 2015-01-14 东友精细化工有限公司 Inspecting method for polarizing plate
CN105182576A (en) * 2015-10-19 2015-12-23 深圳市华星光电技术有限公司 Device and method for detecting laminating accuracy of polarizing plate
CN108957797A (en) * 2017-05-24 2018-12-07 广州尚川防伪科技有限公司 A kind of LCD polaroid glasses test panel
CN110346953A (en) * 2019-07-02 2019-10-18 盐城华昱光电技术有限公司 A kind of the sheet detection system and method for the removing of liquid crystal display die set polaroid
CN111027468A (en) * 2019-12-09 2020-04-17 Oppo(重庆)智能科技有限公司 Fingerprint verification method and device and computer readable storage medium

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101520558A (en) * 2008-02-29 2009-09-02 乐金显示有限公司 Inspection apparatus for liquid crystal display device and inspection method using the same
CN104280407A (en) * 2013-07-12 2015-01-14 东友精细化工有限公司 Inspecting method for polarizing plate
CN105182576A (en) * 2015-10-19 2015-12-23 深圳市华星光电技术有限公司 Device and method for detecting laminating accuracy of polarizing plate
CN108957797A (en) * 2017-05-24 2018-12-07 广州尚川防伪科技有限公司 A kind of LCD polaroid glasses test panel
CN110346953A (en) * 2019-07-02 2019-10-18 盐城华昱光电技术有限公司 A kind of the sheet detection system and method for the removing of liquid crystal display die set polaroid
CN111027468A (en) * 2019-12-09 2020-04-17 Oppo(重庆)智能科技有限公司 Fingerprint verification method and device and computer readable storage medium

Similar Documents

Publication Publication Date Title
CN107957294B (en) Ambient light intensity detection method and device, storage medium and electronic equipment
CN107945769B (en) Ambient light intensity detection method and device, storage medium and electronic equipment
US20200327348A1 (en) Electronic device and method for identifying falsification of biometric information
US10515254B2 (en) Method and apparatus for acquiring fingerprint, chip and terminal device
EP3514727A2 (en) Sensor and electronic apparatus for fingerprint recognition
WO2020063111A1 (en) Print detection method and apparatus, print image compensation method and apparatus, and electronic apparatus
KR102554675B1 (en) Electronic device and method for sensing ambient light based on display information of the electronic device
US9865040B2 (en) Electronic device including sub-array based deblurring of a blurred finger image and related methods
CN108091288B (en) Display screen uniformity testing method, terminal and computer readable storage medium
CN107941330B (en) Ambient light intensity detection method and device, storage medium and electronic equipment
CN108881604A (en) Light-intensity test method, apparatus and intelligent terminal
US9659209B2 (en) Electronic device including blurred finger image deblurring circuitry and related methods
US11416101B2 (en) Electronic device including fingerprint sensor
CN108496184B (en) Image processing method and device and electronic equipment
WO2020168858A1 (en) Data self-calibration method and related apparatus
US20160300095A1 (en) Electronic device comprising fingerprint sensor
TWI737061B (en) Method for determining imaging ratio of curved screen, storage medium, and electronic equipment
WO2020216091A1 (en) Image processing method and related apparatus
WO2018141119A1 (en) Fingerprint acquisition method, apparatus, and terminal
KR20200040597A (en) Electronic device and method for determining touch input conditions based on type of touch input
Le et al. Novel framework for optical film defect detection and classification
CN106682476B (en) Electronic device and fingerprint living body start method
CN110998599A (en) Optical fingerprint sensor with scattered light image detection
KR20190088159A (en) Electronic device for controlling the degree to which a fringerprint sensor is visually recognized
CN110287861B (en) Fingerprint identification method and device, storage medium and electronic equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination