WO2019006709A1 - 指纹采集的方法、装置、芯片和终端设备 - Google Patents

指纹采集的方法、装置、芯片和终端设备 Download PDF

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Publication number
WO2019006709A1
WO2019006709A1 PCT/CN2017/091907 CN2017091907W WO2019006709A1 WO 2019006709 A1 WO2019006709 A1 WO 2019006709A1 CN 2017091907 W CN2017091907 W CN 2017091907W WO 2019006709 A1 WO2019006709 A1 WO 2019006709A1
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Prior art keywords
fingerprint image
fingerprint
image
exposure time
exposure
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Application number
PCT/CN2017/091907
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English (en)
French (fr)
Inventor
李延召
Original Assignee
深圳市汇顶科技股份有限公司
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.)
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Publication date
Application filed by 深圳市汇顶科技股份有限公司 filed Critical 深圳市汇顶科技股份有限公司
Priority to KR1020177029524A priority Critical patent/KR102070745B1/ko
Priority to PCT/CN2017/091907 priority patent/WO2019006709A1/zh
Priority to CN201780000635.3A priority patent/CN107636686B/zh
Priority to EP17779988.9A priority patent/EP3444746A1/en
Priority to US15/730,707 priority patent/US10515254B2/en
Publication of WO2019006709A1 publication Critical patent/WO2019006709A1/zh

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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
    • G06V40/1318—Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/30—Noise filtering
    • 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
    • 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
    • G06V40/1329—Protecting the fingerprint sensor against damage caused by the finger
    • 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
    • G06V40/1347—Preprocessing; Feature extraction
    • 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
    • G06V40/1365—Matching; Classification
    • 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
    • G06V40/1382—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger
    • G06V40/1388—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger using image processing
    • 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
    • G06V40/1341—Sensing with light passing through the finger

Definitions

  • the present application relates to the field of optical fingerprinting technology, and more particularly to a method, device, chip and terminal device for fingerprint collection.
  • the fingerprint imaging effect is significantly affected, which seriously affects the stability and security of the optical fingerprint system.
  • the main solutions include optimizing chip design, reducing the effects of chip dark current, or obtaining the effects of these external disturbances in a typical environment, and then calibrating them in actual imaging. Or design a dark background light path, etc.
  • the priority chip design can only reduce the impact of the chip dark current, can not reduce the impact of ambient light, or according to the influence of external interference in a typical environment.
  • the actual fingerprint imaging is calibrated. In this case, there may be a problem of inaccurate calibration for a scene with a large difference from the typical environment.
  • a fingerprint acquisition method which can reduce the interference of ambient light, chip dark current, temperature and the like on the fingerprint image.
  • the embodiment of the present application provides a method, a device, a chip, and a terminal device for fingerprint collection, which are beneficial to reducing interference of ambient light, chip dark current, temperature and the like on a fingerprint image.
  • a method of fingerprint collection comprising:
  • the time difference between acquiring the first fingerprint image and the at least one second fingerprint image is very small, it may be considered that collecting the first fingerprint image and collecting the environment, temperature, and chip darkness of the at least one second fingerprint image
  • the interference factors such as current are the same or similar, and therefore, the third fingerprint image determined according to the at least one second fingerprint image and the interference factor of the first fingerprint image are the same or similar, and because the third fingerprint image and the first
  • the exposure time of the fingerprint image is the same, further eliminating the deviation caused by the exposure difference. Therefore, the interference cancellation of the first fingerprint image according to the third fingerprint image is beneficial to reducing ambient light, chip dark current and temperature.
  • the interference caused can improve the stability of the optical fingerprint system.
  • the fourth fingerprint image for removing interference is closer to the real fingerprint image than the first fingerprint image, performing operations such as fingerprint recognition or fingerprint verification according to the fourth fingerprint image can improve the security of the optical fingerprint system.
  • the order of collecting the first fingerprint image and the at least one second fingerprint image is not specifically limited.
  • the first fingerprint image may be collected first, or the at least one may be collected first.
  • the second fingerprint image may be used to collect the first fingerprint image and the at least one second fingerprint image.
  • the exposure parameters of the first fingerprint image and the at least one second fingerprint image may be the same or different, which is not specifically limited in this embodiment of the present application.
  • the exposure parameters of the at least one second fingerprint image may be the same or different, that is, the at least one second fingerprint image may be acquired by using the same exposure time, or the at least one first time may be acquired by using different exposure times. Two fingerprint images.
  • the acquiring the first fingerprint image and the at least one second fingerprint image includes:
  • the first exposure parameter comprises a first exposure time and the second exposure parameter comprises a second exposure time.
  • the determining the third fingerprint image according to the first fingerprint image and the at least one second fingerprint image comprises:
  • the first fingerprint is And determining, by the image and the exposure parameter of the fifth fingerprint image, the third fingerprint image, including:
  • the fingerprint image obtained by multiplying the fifth fingerprint image by the calibration factor and subtracting the specific offset image is determined as the third fingerprint image, where
  • the calibration factor is determined based on the first exposure parameter and the second exposure parameter.
  • the pixel value of each pixel in the specific offset image is zero.
  • the fingerprint image obtained by multiplying the fifth fingerprint image by the calibration factor may be determined as the third fingerprint image.
  • the calibration factor is a ratio of the first exposure time to the second exposure time.
  • any one of the at least one second fingerprint image may be determined as the first a fingerprint image obtained by averaging a partial fingerprint image of the at least one second fingerprint image as the third fingerprint image or the like;
  • a fingerprint image obtained by multiplying any one of the at least one second fingerprint image by a calibration factor may be determined as the An interference image of the first fingerprint image or the like.
  • the acquiring the first fingerprint image and the at least one second fingerprint image includes:
  • the at least one second exposure parameter is in one-to-one correspondence with the at least one second fingerprint image.
  • the determining the third fingerprint image according to the first fingerprint image and the at least one second fingerprint image comprises:
  • the at least one second fingerprint image includes a second fingerprint image, the first fingerprint image and the at least one The second fingerprint image determines the third fingerprint image, including:
  • the fingerprint image obtained by multiplying the second fingerprint image by the calibration factor and subtracting the specific offset image is determined as the third fingerprint image.
  • the calibration factor is determined based on exposure parameters of the first fingerprint image and the second fingerprint image.
  • the method further comprises:
  • Fingerprint recognition, dry humidity measurement or pressing area segmentation is performed according to the fourth fingerprint image.
  • the fourth fingerprint image is a fingerprint image for removing the interference image, that is, the fourth fingerprint image is not affected by ambient light, dark current, temperature, and the like, fingerprint recognition and dry humidity are performed according to the fourth fingerprint image. Measurement and pressing area segmentation operations are beneficial to improve the accuracy and security of the optical fingerprint system.
  • the fingerprint collection method of the embodiment of the present application collects a bright screen image and at least one dark screen image under the same interference condition, and determines the same exposure time as the bright screen image according to the at least one dark screen image.
  • the interference image components included in the first fingerprint image and the interference image are the same or similar, interference cancellation on the bright screen image according to the interference image is beneficial to reducing ambient light, dark current, temperature, and the like. The impact of fingerprint images.
  • a fingerprint collection device comprising a functional module for performing the method of any of the first aspect or the first aspect of the first aspect.
  • a chip comprising an input and output interface, at least one processor, at least one memory and a bus, the at least one memory for storing instructions, the at least one processor for calling the at least one memory An instruction to perform the method of the first aspect or any of the possible implementations of the first aspect.
  • a terminal device including a fingerprint collection module and a processor.
  • the processor and the fingerprint collection module communicate with each other through an internal connection path, and transmit control and/or data signals, so that the terminal device performs the foregoing first aspect or any possible implementation manner of the first aspect. method.
  • a fifth aspect a computer readable medium for storing a computer program, the computer program comprising instructions for performing the first aspect or any of the possible implementations of the first aspect.
  • a computer program product comprising instructions for performing the above-described first aspect or any of the possible implementations of the first aspect, when the computer runs the finger of the computer program product Fingerprint identification method.
  • the computer program product can be run on the terminal device of the above fourth aspect.
  • FIG. 1 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
  • FIG. 2 is a schematic flowchart of a method for fingerprint collection according to an embodiment of the present application.
  • FIG. 3 is a schematic flowchart of a method for fingerprint collection according to an embodiment of the present application.
  • FIG. 4 is a schematic flowchart of a method for fingerprint collection according to another embodiment of the present application.
  • FIG. 5 is a flowchart of a subsequent operation of a method for fingerprint collection according to an embodiment of the present application.
  • FIG. 6 is a schematic block diagram of a fingerprint collection device in accordance with an embodiment of the present application.
  • FIG. 7 is a schematic block diagram of a terminal device according to an embodiment of the present application.
  • embodiments of the present application can be applied to an optical fingerprinting system, including but not limited to an optical fingerprinting system and a medical diagnostic product based on optical fingerprint imaging.
  • the embodiment of the present application only uses an optical fingerprinting system as an example, but should not The application examples constitute any limitation, and the embodiments of the present application are equally applicable to other systems using optical imaging technology and the like.
  • the optical fingerprinting system provided by the embodiment of the present application can be applied to a smart phone, a tablet computer, and other mobile terminals or other terminal devices having a display screen; more specifically, in the foregoing terminal device, fingerprint collection
  • the device may be embodied as an optical fingerprint device that may be placed in a partial or all area below the display screen to form an under-display optical fingerprinting system.
  • FIG. 1 is a schematic structural diagram of a terminal device applicable to an embodiment of the present application.
  • the terminal device 700 includes a display screen 720 and an optical fingerprint device 730.
  • the optical fingerprint device 730 is disposed under the display screen 720. Local area.
  • the optical fingerprint device 730 includes a sensing array having a plurality of optical sensing units, and the sensing array is located in the fingerprint detecting region 703 of the optical fingerprint device 730. As shown in FIG. 1, the fingerprint detecting area 703 is located in the display area 702 of the display screen 720. Therefore, the user needs to perform the terminal device.
  • the terminal device 700 adopting the above structure does not need to reserve a space on the front side to set a fingerprint button (such as a Home button), so that a full screen scheme, that is, a display area of the display screen 720 can be adopted.
  • 702 can be substantially extended to the front of the entire terminal device 700.
  • the display screen 720 can be a display screen with a self-luminous display unit, such as an Organic Light-Emitting Diode (OLED) display or a Micro-LED display. Screen.
  • OLED Organic Light-Emitting Diode
  • the optical fingerprint device 730 can use the display unit (ie, the OLED light source) of the OLED display 720 located in the fingerprint detection area 703 as an excitation light source for optical fingerprint detection.
  • the sensing array of the optical fingerprint device 730 is specifically a photo detector array comprising a plurality of photodetectors distributed in an array, which can be used as the optical sensing unit as described above.
  • the light emitted by the display unit of the fingerprint detecting area 703 is reflected on the fingerprint of the finger surface and forms reflected light, wherein the reflected light of the ridge and the valley of the finger fingerprint is different.
  • the reflected light is received from the display screen 720 and converted by the photodetector array and converted into a corresponding electrical signal, that is, a fingerprint detection signal; fingerprint image data can be obtained based on the fingerprint detection signal, and can be further performed Fingerprint matching verification, thereby implementing an optical fingerprint recognition function at the terminal device 700.
  • the terminal device 700 further includes a transparent protective cover 710, and the cover plate 710 may be a glass cover or a sapphire cover, which is located above the display screen 720 and covers the cover.
  • the front side of the terminal device 700 is described. Because, in the embodiment of the present application, the so-called finger press on the display screen 720 actually refers to the cover plate 710 pressed over the display screen 720 or the surface of the protective layer covering the cover plate 710.
  • the optical fingerprint device 730 includes a light detecting portion 134 and an optical component 732, and the light detecting portion 134 includes the sensing array and the sensing array.
  • the optical components 732 may be disposed over the sensing array of the light detecting portion 134, which may specifically include filtering a filter, a light guiding layer, and other optical elements, the filter layer can be used to filter ambient light penetrating the finger, and the light guiding layer is mainly used to guide the reflected light reflected from the surface of the finger to The sensing array performs optical detection.
  • the optical component 732 can be packaged with the light detecting portion 134.
  • the light guiding layer may be specifically a collimator layer or a lens (Lens) layer made of a semiconductor silicon wafer, and has a plurality of collimating units or lens units, and the collimating unit may be specific As a small hole, among the reflected light reflected from the finger, the light incident perpendicularly to the collimating unit can pass through and be received by the optical sensing unit below it, and the obliquely incident light passes through the inside of the collimating unit. The secondary reflection is attenuated, so that each optical sensing unit can only receive the reflected light reflected from the fingerprint pattern directly above it, so that the sensing array can detect the fingerprint image of the finger.
  • each collimating unit or lens unit may respectively correspond to one of the optical sensing units of the sensing array; alternatively, the collimator unit or the lens unit and the sensing array A non-one-to-one correspondence may also be adopted between the optical sensing units to reduce the occurrence of moire fringe interference.
  • one optical sensing unit may correspond to a plurality of collimating units or lens units, or the collimating unit or the lens unit may also The irregular arrangement may be adopted; the collimated unit or the lens unit arranged in an irregular manner may correct the reflected light detected by each sensing unit by a post-software algorithm.
  • the display screen 720 can also employ a non-self-illuminating display screen, such as a liquid crystal display using a backlight; in this case, the optical detection device 730 cannot use the display screen 720.
  • the display unit serves as an excitation light source. Therefore, it is necessary to integrate an excitation light source inside the optical detecting device 730 or an excitation light source externally to realize optical fingerprint detection. The detection principle is consistent with the above description.
  • the fingerprint image capture device such as the fingerprint image of the finger collected by the optical fingerprint device 730 shown in FIG. 1, mainly includes the following image components:
  • the optical signal emitted by the excitation light source is directly passed through the optical imaging optical path and is captured by the fingerprint collection device without the finger reflection;
  • the image component 4 produced by the dark current of the chip.
  • the image component 1 is a local image formed by the excitation light source
  • the image component 2 is an image component containing the fingerprint information
  • the image components 3 and 4 are interference images, and the frequency is used according to the use environment. Change, such as pressing a finger, pressing a region, and the like.
  • the method of optimizing the chip design or using the calibration parameters in a typical environment can not effectively eliminate the interference of ambient light, chip dark current, temperature and the like on the fingerprint image.
  • the embodiment of the present application provides a fingerprint collection method, which is beneficial to reducing interference of ambient light, chip dark current, temperature and the like on a fingerprint image.
  • FIG. 2 is a schematic flowchart of a method 100 for fingerprint collection according to an embodiment of the present application. As shown in FIG. 2, the method 100 includes the following:
  • the brightness of the excitation light source when the first fingerprint image is acquired is higher than the brightness of the excitation light source when the at least one second fingerprint image is collected, or the at least one second fingerprint image is collected.
  • the excitation light source is off.
  • the first fingerprint image may also be referred to as a bright screen image
  • the at least one second fingerprint image may also be referred to as a dark screen image, that is, the first fingerprint image is a fingerprint image acquired in the case of a bright screen.
  • the at least one second fingerprint image is a fingerprint image in the case of a dark screen or a blank screen.
  • the first fingerprint image may be collected first, or the at least one second fingerprint image may be collected first.
  • the exposure parameter may be first set to a first exposure parameter, and the first fingerprint image may be acquired under the first exposure parameter, or the exposure parameter may be first set to a second exposure parameter, where the second exposure parameter is And acquiring the at least one second fingerprint image, or the at least one second fingerprint image may be corresponding to different exposure parameters, and acquiring the at least one second fingerprint image under different exposure parameters.
  • the exposure parameter used for collecting the fingerprint image may be one or more, for example, the exposure parameter may include an exposure time, or may also include other exposure parameters, and hereinafter, mainly including the exposure parameter.
  • the exposure time is taken as an example to describe the embodiment of the present application.
  • the embodiment of the present application may also calibrate the dark screen image according to other exposure parameters to obtain an interference image.
  • the exposure time corresponding to the first fingerprint image may be the same as the exposure time corresponding to the at least one second fingerprint image, or may be different, that is, may be adopted.
  • the first fingerprint image and the at least one second fingerprint image are acquired at the same exposure time.
  • the exposure time corresponding to the at least one second fingerprint image may be the same or different, that is, the at least one second fingerprint image may be acquired by using the same exposure time, or the at least one first time may be acquired by using different exposure times.
  • the second fingerprint image is not specifically limited in this embodiment of the present application.
  • the interference image of the first fingerprint image under the current interference condition may be determined according to the at least one second fingerprint image, and any interference may be performed on the first fingerprint image according to the interference image. Eliminated, which can effectively eliminate the interference caused by factors such as environment, temperature and chip dark current.
  • the first fingerprint image may be determined according to the at least one second fingerprint image.
  • the interference image that is, the third fingerprint image, then performs interference cancellation on the first fingerprint image according to the third fingerprint image, thereby obtaining a fourth fingerprint image for removing interference.
  • the at least one second fingerprint image may be calibrated according to the difference in exposure parameters, and determining The interference image with the same exposure parameter of the first fingerprint image, that is, the third fingerprint image, and the third fingerprint image obtained after calibration eliminates the deviation caused by the exposure difference.
  • the third fingerprint image and the The first fingerprint image may be considered to include the same or similar image component 3 and image component 4, while the third fingerprint image does not include or include few image components 2, and therefore, the first fingerprint is paired according to the third fingerprint image
  • the image is interference-cancelled, which can effectively reduce the interference caused by ambient light, chip dark current and temperature, that is, the fourth fingerprint image that removes interference is closer to the real fingerprint image.
  • the fingerprint image collected by the fingerprint collection method according to the embodiment of the present application is beneficial for avoiding interference caused by factors such as ambient light, chip dark current and temperature, thereby improving the optical index.
  • the stability of the grain system since the fourth fingerprint image for removing interference is closer to the real fingerprint image, the operation of fingerprint recognition or fingerprint verification is performed according to the fourth fingerprint image, thereby improving the security of the optical fingerprint system.
  • S102 may include:
  • the first fingerprint image is collected by using a first exposure parameter
  • the at least one second fingerprint image is collected by using a second exposure parameter, that is, the at least one second fingerprint image is adopted.
  • the same exposure parameter is acquired, wherein the first exposure parameter includes a first exposure time, and the second exposure parameter includes a second exposure time, the first exposure time and the second exposure time being the same or different.
  • the at least one second fingerprint image may be averaged to obtain a fifth fingerprint image with a higher signal to noise ratio, and then according to the exposure parameters of the fifth fingerprint image and the first fingerprint image.
  • the difference is determined by the third fingerprint image, that is, the interference image.
  • determining the third fingerprint image according to the fifth fingerprint image with high signal to noise ratio is beneficial to improving the accuracy and reliability of the determined interference image.
  • the determining the third fingerprint image according to the exposure parameters of the first fingerprint image and the fifth fingerprint image comprises:
  • the fingerprint image obtained by multiplying the fifth fingerprint image by the calibration factor and subtracting the specific offset image is determined as the third fingerprint image, where
  • the calibration factor is determined based on the first exposure parameter and the second exposure parameter.
  • the multiplying the fifth fingerprint image by the calibration factor may be considered to multiply the pixel value of each pixel in the fifth fingerprint image by a calibration factor, where the fifth fingerprint multiplied by the calibration factor is used.
  • the image is recorded as a sixth fingerprint image, and then the sixth fingerprint image is subtracted from the specific fingerprint image to obtain a third fingerprint image, that is, the pixel value of each pixel in the third fingerprint image is the sixth fingerprint image.
  • multiplying the fifth fingerprint image by a calibration factor is to scale the pixel values of each pixel in the fifth fingerprint image in the same proportion, and subtracting the specific fingerprint image from the sixth fingerprint image is
  • the pixel values of each pixel in the sixth fingerprint image are specifically offset, and the offset of each pixel may be the same or different.
  • the fifth fingerprint image may be first subtracted from the specific offset image, and then the fingerprint image obtained by multiplying the calibration factor is determined as the third fingerprint image. Said, you can multiply the first calibration factor first, then offset the first offset image, or you can offset the second offset image first, then multiply by the second calibration factor, or you can offset the third offset first. The image is then multiplied by the third calibration factor, and finally the fourth offset image is shifted.
  • the embodiment of the present application does not particularly limit the processing process of the fifth fingerprint image, wherein each offset image and each calibration The factor may be determined according to the fifth fingerprint image and the exposure parameter of the first fingerprint image.
  • the calibration factor may be a ratio of the first exposure time to the second exposure time, or may also be determined according to the first exposure parameter and other exposure parameters of the second exposure parameter, the present application The embodiment does not limit this.
  • the fifth fingerprint image may be determined as an interference image, or if the first fingerprint image and the at least one The exposure time of the second fingerprint image is different, and the fifth fingerprint image may be calibrated to obtain an interference image with the same exposure time as the first fingerprint image.
  • the embodiment of the present application may also use the at least one second when the first exposure time and the second exposure time are the same. Determining, in the fingerprint image, any fingerprint image as the third fingerprint image, or determining a fingerprint image obtained by averaging partial fingerprint images in the at least one second fingerprint image as the third fingerprint image; or In a case where the first exposure time and the second exposure time are different, a fingerprint image obtained by multiplying any one of the at least one second fingerprint image by a calibration factor may be determined as the first
  • the interference image of the fingerprint image and the like are not limited in the embodiment of the present application.
  • the S102 may include:
  • the at least one second fingerprint image is collected by using different exposure parameters.
  • the at least one second fingerprint image corresponds to different exposure times.
  • the first fingerprint image may be obtained according to the at least one second fingerprint image by using interpolation or fitting processing.
  • the third fingerprint image with the same exposure time.
  • S102 may include:
  • the fingerprint image obtained by multiplying the second fingerprint image by the calibration factor and subtracting the specific offset image is determined as the third fingerprint image.
  • the calibration factor is determined according to exposure parameters of the first fingerprint image and the second fingerprint image.
  • the at least one second fingerprint image includes only one second fingerprint image.
  • the second fingerprint image is a fingerprint image of a long exposure time or a short exposure time
  • the second fingerprint image and the first fingerprint image may be The exposure parameter of the fingerprint image is used to determine the third fingerprint image.
  • the implementation of the method for determining the interference image of the first fingerprint image is only a better understanding of the embodiment of the present application, and should not be limited to the embodiment of the present application.
  • the first fingerprint image is acquired according to the bright screen, and at least one second fingerprint image is collected in the case of dark screen or blank screen, and the first fingerprint image is determined according to the at least one second fingerprint image.
  • performing interference cancellation on the first fingerprint image according to the third fingerprint image to obtain a fourth fingerprint image including:
  • the pixel value of each pixel in the first fingerprint image may be subtracted from the pixel value of the corresponding pixel in the third fingerprint image, and the fourth fingerprint image may be a difference obtained according to the above method.
  • the value image, that is, the pixel value of each pixel in the fourth fingerprint image is the difference between the pixel values of the corresponding pixel points in the first fingerprint image and the third fingerprint image.
  • the difference between the embodiment shown in FIG. 3 and FIG. 4 is that, in the embodiment shown in FIG. 3, the dark screen image is acquired under the same exposure parameter, that is, the N dark screen images correspond to the same exposure parameter, in FIG. 4 .
  • the N dark screen images correspond to different exposure parameters.
  • FIG. 3 and FIG. 4 show detailed steps or operations of the method for fingerprint collection in the embodiment of the present application, but the steps or operations are merely examples, and other operations or FIG. 3 and FIG. 4 variants of various operations. Moreover, the various steps in FIGS. 3 and 4 may be performed in a different order than that presented in FIGS. 3 and 4, respectively, and it is possible that not all operations in FIGS. 3 and 4 are to be performed.
  • the method 200 of fingerprint collection as shown in FIG. 3 may include the following steps:
  • the human finger presses a pressing area on the optical imaging system, for example, a screen of the mobile phone.
  • the bright screen image is collected, that is, the first fingerprint image is acquired.
  • the exposure time of the bright screen image is the first exposure time.
  • first exposure time and the second exposure time are the same or different.
  • the collected dark screen image may include a dark screen image 1, a dark screen image 2, ..., a dark screen image N, wherein N ⁇ 1, N exposure time of the dark screen image is the second exposure time, where The N dark screen images correspond to at least one second fingerprint image described above.
  • S204 and S205 may be performed first, and then S202 and S203 may be performed, that is, the dark screen image may be collected first, and then the bright screen image may be collected.
  • N dark screen images are averaged to obtain an average image.
  • the average image here corresponds to the fifth fingerprint image described above.
  • the calibration factor is determined based on the exposure parameter 0 and the exposure parameter 1.
  • the calibration factor may be a ratio of the first exposure time to the second exposure time.
  • the average value image is subjected to exposure calibration according to the calibration factor to obtain an interference image.
  • the interference image here corresponds to the third fingerprint image described above, and for example, the fingerprint image obtained by multiplying the average image by the calibration factor may be determined as the interference image.
  • interference cancellation is performed on the bright screen image according to the interference image, and a fingerprint image of the interference removal image, that is, the fourth fingerprint image described above is obtained.
  • the difference image of the interference image may be subtracted from the bright screen image and determined as the fourth fingerprint image.
  • the method 300 for fingerprint collection in the embodiment of the present application may include S301 to S306.
  • the specific execution process of S301 to S303 is similar to the specific execution process of S201 to S203 in the method 200, and details are not described herein again.
  • N sets of exposure parameters are set, for example, exposure parameter 1 to exposure parameter N, and exposure time corresponding to each group of exposure parameters is different, and N dark screen images are acquired under different exposure parameters of N groups, for example, a dark screen Image 1, dark screen image 2, ..., dark screen image N, where N ⁇ 1.
  • an interference image having the same exposure time as the bright screen image is determined based on the acquired N dark screen images.
  • an interference image of the same exposure time as the bright screen image may be determined by interpolation or fitting.
  • interference cancellation is performed on the bright screen image according to the interference image determined in S305, and a fingerprint image from which the interference image is removed is obtained.
  • the difference image of the interference image may be subtracted from the bright screen image and determined as the fourth fingerprint image.
  • the interference fingerprint image is removed, that is, the fourth fingerprint image may be used for subsequent fingerprint identification, or dry humidity measurement, or pressing area segmentation, etc., and the application of the fourth fingerprint image is not limited in this embodiment of the present application. Scenes.
  • FIG. 5 is a schematic flowchart of a subsequent operation of the method for fingerprint collection in the embodiment of the present application.
  • the S401 in FIG. 5 may correspond to S201 in the method 200 shown in FIG. 3 and S301 in the method 300 shown in FIG. 4, and details are not described herein again.
  • a fingerprint image from which the interference image is removed is determined.
  • the fingerprint image obtained in S402 may be further processed, for example, may be The fingerprint image performs operations such as calibration, enhancement processing, and the like.
  • the processed fingerprint image is input to the fingerprint identification module for fingerprint recognition or fingerprint registration.
  • the fourth fingerprint image for removing interference can be obtained according to the method for fingerprint collection in the embodiment of the present application. Since the fourth fingerprint image is closer to the real fingerprint image than the first fingerprint image, the fourth fingerprint image is performed according to the fourth fingerprint image. Fingerprint recognition helps to improve the security of the fingerprint identification system.
  • the fingerprint image from which the interference image is removed may be further processed.
  • the fingerprint image may be calibrated to exclude the influence of the uneven brightness of the excitation light source on the fingerprint image.
  • the processed fingerprint image is subjected to pressing region division.
  • the pressing area may be divided according to a certain threshold, and the pressing area may be divided into an area including fingerprint information and an area not including fingerprint information. Since the fingerprint image is not affected by ambient light, dark current and temperature, the segmentation according to the fingerprint image is advantageous for improving the accuracy and robustness of the region segmentation.
  • the fingerprint image from which the interference image is removed may be input to the dry humidity measurement module. Since the fingerprint image is not affected by factors such as ambient light, dark current, and temperature, the dry humidity measurement may be performed according to the fingerprint image. The accuracy of the humidity measurement.
  • the fingerprint collection method of the embodiment of the present application collects a bright screen image and at least one dark screen image under the same interference condition, and determines the same exposure time as the bright screen image according to the at least one dark screen image.
  • the interference image components included in the first fingerprint image and the interference image are the same or similar, interference cancellation on the bright screen image according to the interference image is beneficial to reducing ambient light, dark current, temperature, and the like. The impact of fingerprint images.
  • FIG. 6 is a schematic block diagram of a fingerprint collection device 500 according to an embodiment of the present application. As shown in FIG. 6, the device 500 includes:
  • the acquiring module 510 is configured to collect the first fingerprint image and the at least one second fingerprint image, wherein the screen brightness of the first fingerprint image is higher than the screen brightness of the at least one second fingerprint image;
  • a determining module 520 configured to determine a third fingerprint image according to the first fingerprint image and the at least one second fingerprint image, and perform interference cancellation on the first fingerprint image according to the third fingerprint image to obtain a fourth a fingerprint image, wherein the third fingerprint image is an interference image that is the same as an exposure time of the first fingerprint image.
  • the collecting module 510 is specifically configured to:
  • the first exposure parameter comprises a first exposure time and the second exposure parameter comprises a second exposure time.
  • the determining module 520 is specifically configured to:
  • the determining module 520 is further configured to:
  • the fingerprint image obtained by multiplying the fifth fingerprint image by the calibration factor and subtracting the specific offset image is determined as the third fingerprint image, where
  • the calibration factor is determined based on the first exposure parameter and the second exposure parameter.
  • the pixel value of each pixel in the particular offset image is zero.
  • the calibration factor is a ratio of the first exposure time to the second exposure time.
  • the collecting module 510 is further configured to:
  • the at least one second exposure parameter is paired with the at least one second fingerprint image should.
  • the determining module 520 is specifically configured to:
  • the at least one second fingerprint image includes a second fingerprint image
  • the determining module 520 is specifically configured to:
  • the fingerprint image obtained by multiplying the second fingerprint image by the calibration factor and subtracting the specific offset image is determined as the third fingerprint image.
  • the calibration factor is determined based on exposure parameters of the first fingerprint image and the second fingerprint image.
  • the apparatus 500 further includes:
  • a processing module configured to perform fingerprint identification, dry humidity measurement, or pressing area segmentation according to the fourth fingerprint image.
  • the embodiment of the present application further provides a terminal device 600, which may be the device 500 in FIG. 6, which can be used to execute the content in the method embodiment in FIG. 2 to FIG. .
  • the terminal device 600 includes a fingerprint collection module 610 and a processor 620.
  • the fingerprint collection module 610 and the processor 620 communicate with each other through an internal connection path, and the fingerprint collection module 610 is configured to collect the first fingerprint image and the at least one second fingerprint image.
  • the processor 620 is configured to determine a third fingerprint image according to the first fingerprint image and the at least one second fingerprint image, and perform interference cancellation on the first fingerprint image according to the third fingerprint image, to obtain The fourth fingerprint image.
  • the fingerprint collection module 610 can correspond to the collection module 510 in the apparatus 500 of the embodiment of the present application.
  • the processor 620 can correspond to the determination module 520 and the processing module in the apparatus 500 of the embodiment of the present application. No longer.
  • the processor 620 of the embodiment of the present application may be an integrated circuit chip with signal processing capability.
  • each step of the foregoing method embodiments may be completed by an integrated logic circuit of hardware in a processor or an instruction in a form of software.
  • the above processor may be a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), or an off-the-shelf programmable gate array (Field).
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • FPGA Programmable Gate Array
  • the general purpose processor may be a microprocessor or the processor or any conventional processor or the like.
  • the steps of the method disclosed in the embodiments of the present application may be directly implemented by the hardware decoding processor, or may be performed by a combination of hardware and software modules in the decoding processor.
  • the software module can be located in a conventional storage medium such as random access memory, flash memory, read only memory, programmable read only memory or electrically erasable programmable memory, registers, and the like.
  • the storage medium is located in the memory, and the processor reads the information in the memory and combines the hardware to complete the steps of the above method.
  • the terminal device 600 of the embodiment of the present application may further include a memory, which may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memory.
  • the non-volatile memory may be a read-only memory (ROM), a programmable read only memory (PROM), an erasable programmable read only memory (Erasable PROM, EPROM), or an electric Erase programmable read only memory (EEPROM) or flash memory.
  • the volatile memory can be a Random Access Memory (RAM) that acts as an external cache.
  • RAM Random Access Memory
  • many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (Synchronous DRAM).
  • SDRAM Double Data Rate SDRAM
  • DDR SDRAM Double Data Rate SDRAM
  • ESDRAM Enhanced Synchronous Dynamic Random Access Memory
  • SLDRAM Synchronous Connection Dynamic Random Access Memory
  • DR RAM direct memory bus random access memory
  • the embodiment of the present application further provides a computer readable storage medium storing one or more programs, the one or more programs including instructions, when the portable electronic device is included in a plurality of applications When executed, the portable electronic device can be caused to perform the method of the embodiment shown in Figures 2 through 5.
  • the embodiment of the present application also proposes a computer program comprising instructions which, when executed by a computer, cause the computer to perform the method of the embodiment shown in Figures 2 to 5.
  • the embodiment of the present application further provides a chip, the chip includes an input and output interface, at least one processor, at least one memory, and a bus, the at least one memory is configured to store an instruction, and the at least one processor is configured to invoke the at least one memory
  • the instructions are executed to perform the method of the embodiment shown in Figures 2 through 5.
  • the size of the sequence numbers of the foregoing processes does not mean the order of execution sequence, and the order of execution of each process should be determined by its function and internal logic, and should not be applied to the embodiment of the present application.
  • the implementation process constitutes any limitation.
  • the disclosed systems, devices, and methods may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the functions may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a standalone product. Based on this understanding, this application The technical solution, in part or in part of the prior art, may be embodied in the form of a software product stored in a storage medium, including a number of instructions for making A computer device (which may be a personal computer, server, or network device, etc.) performs all or part of the steps of the methods described in various embodiments of the present application.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like, which can store program codes. .

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Abstract

一种指纹采集的方法、装置、芯片和终端设备，能够降低环境光、温度和芯片暗电流等因素带来的干扰，该方法包括：采集第一指纹图像和至少一个第二指纹图像，其中，采集所述第一指纹图像的屏幕亮度高于采集所述至少一个第二指纹图像的屏幕亮度（S101）；根据所述第一指纹图像和所述至少一个第二指纹图像，确定第三指纹图像，其中，所述第三指纹图像为与所述第一指纹图像的曝光时间相同的干扰图像（S102）；根据所述第三指纹图像对所述第一指纹图像进行干扰消除，得到第四指纹图像（S103）。

Description

指纹采集的方法、装置、芯片和终端设备 技术领域
本申请涉及光学指纹技术领域，并且更具体地，涉及一种指纹采集的方法、装置、芯片和终端设备。
背景技术
在光学指纹系统中，由于环境光、芯片暗电流、温度等因素的干扰，使得指纹成像效果受到显著影响，进而严重影响光学指纹系统的稳定性和安全性。
目前，为了增强光学指纹系统的抗干扰能力，主要的解决方案包括优化芯片设计，减小芯片暗电流的影响，或在典型的环境下获得这些外部干扰的影响，然后在实际成像中加以校准，或设计暗背景光路等。
但是，这些方法往往都只能减少部分干扰因素带来的影响，例如，优先芯片设计只能减小芯片暗电流的影响，不能降低环境光的影响，或者若根据典型环境下的外部干扰的影响对实际指纹成像进行校准，这种情况下，对于与典型环境差异较大场景，可能会存在校准不准确的问题。
因此，需要一种指纹采集的方法，能够降低环境光、芯片暗电流、温度等因素对指纹图像的干扰。
发明内容
本申请实施例提供了一种指纹采集的方法、装置、芯片和终端设备，有利于降低环境光、芯片暗电流、温度等因素对指纹图像的干扰。
第一方面，提供了一种指纹采集的方法，包括：
采集第一指纹图像和至少一个第二指纹图像，其中，采集所述第一指纹图像的屏幕亮度高于采集所述至少一个第二指纹图像的屏幕亮度；
根据所述第一指纹图像和所述至少一个第二指纹图像，确定第三指纹图像，其中，所述第三指纹图像为所述第一指纹图像的曝光时间相同的干扰图像；
根据所述第三指纹图像对所述第一指纹图像进行干扰消除，得到第四指纹图像。
由于采集所述第一指纹图像和所述至少一个第二指纹图像的时间差非常小，因此，可以认为采集所述第一指纹图像和采集所述至少一个第二指纹图像的环境、温度和芯片暗电流等干扰因素相同或相近，因此，根据所述至少一个第二指纹图像确定的第三指纹图像和所述第一指纹图像的干扰因素相同或相似，并且由于第三指纹图像和所述第一指纹图像的曝光时间相同，进一步消除了曝光差异带来的偏差，因此，根据所述第三指纹图像对所述第一指纹图像进行干扰消除，有利于降低环境光、芯片暗电流和温度等因素带来的干扰，从而能够提升光学指纹系统的稳定性。
由于去除干扰的第四指纹图像相对于第一指纹图像更接近真实的指纹图像，因此，根据所述第四指纹图像，进行指纹识别或指纹验证等操作，能够提升光学指纹系统的安全性。
可选地，本申请实施例对于所述第一指纹图像和所述至少一个第二指纹图像的采集顺序不作特别限定，例如，可以先采集第一指纹图像，或也可以先采集所述至少一个第二指纹图像。
可选地，采集所述第一指纹图像和所述至少一个第二指纹图像的曝光参数可以相同，也可以不同，本申请实施例对此不作特别限定。
进一步地，所述至少一个第二指纹图像的曝光参数可以相同或不同，即可以采用相同的曝光时间采集所述至少一个第二指纹图像，也可以采用不同的曝光时间，采集所述至少一个第二指纹图像。
结合第一方面，在第一方面的某些实现方式中，所述采集第一指纹图像和至少一个第二指纹图像，包括：
在第一曝光参数下，采集第一指纹图像；以及
在第二曝光参数下，采集所述至少一个第二指纹图像；
其中，所述第一曝光参数包括第一曝光时间，所述第二曝光参数包括第二曝光时间。
结合第一方面，在第一方面的某些实现方式中，所述根据所述第一指纹图像和所述至少一个第二指纹图像，确定第三指纹图像，包括：
对所述至少一个第二指纹图像取平均值得到第五指纹图像；
根据所述第一指纹图像和所述第五指纹图像的曝光参数，确定所述第三指纹图像。
结合第一方面，在第一方面的某些实现方式中，所述根据所述第一指纹 图像和所述第五指纹图像的曝光参数，确定所述第三指纹图像，包括：
若所述第一曝光时间和所述第二曝光时间相同，将所述第五指纹图像确定为所述第三指纹图像；或
若所述第一曝光时间和所述第二曝光时间不同，将所述第五指纹图像乘以校准因子并减去特定偏移图像后得到的指纹图像确定为所述第三指纹图像，其中，所述校准因子是根据所述第一曝光参数和所述第二曝光参数确定的。
可选地，所述特定偏移图像中的每个像素点的像素值为零。
即可以将第五指纹图像乘以校准因子后得到的指纹图像确定为所述第三指纹图像。
可选地，所述校准因子为所述第一曝光时间和所述第二曝光时间的比值。
可选地，在本申请实施例中，在第一曝光时间和所述第二曝光时间相同的情况下，也可以将所述至少一个第二指纹图像中的任一指纹图像确定为所述第三指纹图像，或者将所述至少一个第二指纹图像中的部分指纹图像取平均值得到的指纹图像确定为所述第三指纹图像等；
或者，在所述第一曝光时间和所述第二曝光时间不同的情况下，也可以将所述至少一个第二指纹图像中的任一指纹图像乘以校准因子得到的指纹图像确定为所述第一指纹图像的干扰图像等。
结合第一方面，在第一方面的某些实现方式中，所述采集第一指纹图像和至少一个第二指纹图像，包括：
在第一曝光参数下，采集第一指纹图像；以及
在至少一种第二曝光参数下，采集所述至少一个第二指纹图像；
其中，所述至少一种第二曝光参数与所述至少一个第二指纹图像一一对应。
结合第一方面，在第一方面的某些实现方式中，所述根据所述第一指纹图像和所述至少一个第二指纹图像，确定第三指纹图像，包括：
将所述至少一个第二指纹图像进行插值或拟合处理得到与所述第一指纹图像的曝光时间相同的所述第三指纹图像。
结合第一方面，在第一方面的某些实现方式中，所述至少一个第二指纹图像包括一个第二指纹图像，所述根据所述第一指纹图像和所述至少一个第 二指纹图像，确定第三指纹图像，包括：
若所述第一指纹图像和所述第二指纹图像的曝光时间相同，确定所述第二指纹图像为所述第三指纹图像；或
若所述第一指纹图像和所述第二指纹图像的曝光时间不同，将所述第二指纹图像乘以校准因子并减去特定偏移图像后得到的指纹图像确定为所述第三指纹图像，其中，所述校准因子是根据所述第一指纹图像和所述第二指纹图像的曝光参数确定的。
结合第一方面，在第一方面的某些实现方式中，所述方法还包括：
根据所述第四指纹图像进行指纹识别，干湿度测量或按压区域分割。
由于所述第四指纹图像为去除干扰图像的指纹图像，即该第四指纹图像不受环境光、暗电流和温度等因素的影响，因此，根据所述第四指纹图像进行指纹识别、干湿度测量和按压区域分割等操作，有利于提升光学指纹系统的准确性和安全性。
因此，本申请实施例的指纹采集的方法，在同一干扰条件下，采集亮屏图像和至少一个暗屏图像，并根据所述至少一个暗屏图像确定与所述亮屏图像的曝光时间相同的干扰图像，由于所述第一指纹图像和干扰图像包括的干扰图像分量相同或相似，因此，根据所述干扰图像对亮屏图像进行干扰消除，有利于降低环境光、暗电流和温度等因素对指纹图像的影响。
第二方面，提供了一种指纹采集装置，所述装置包括用于执行上述第一方面或第一方面的任一可能的实现方式中的方法的功能模块。
第三方面，提供了一种芯片，该芯片包括输入输出接口、至少一个处理器、至少一个存储器和总线，该至少一个存储器用于存储指令，该至少一个处理器用于调用该至少一个存储器中的指令，以执行第一方面或第一方面的任一可能的实现方式中的方法。
第四方面，提供了一种终端设备，包括指纹采集模块和处理器。所述处理器和所述指纹采集模块之间通过内部连接通路互相通信，传递控制和/或数据信号，使得所述终端设备执行上述第一方面或第一方面的任一可能的实现方式中的方法。
第五方面，提供了一种计算机可读介质，用于存储计算机程序，所述计算机程序包括用于执行上述第一方面或第一方面的任一可能的实现方式中的指令。
第六方面，提供了一种包括指令的计算机程序产品，当计算机运行所述计算机程序产品的所述指时，所述计算机执行上述第一方面或第一方面的任一可能的实现方式中的指纹识别的方法。
具体地，该计算机程序产品可以运行于上述第四方面的终端设备上。
附图说明
图1是本申请实施例的终端设备的结构示意图。
图2是根据本申请实施例的指纹采集的方法的示意性流程图。
图3是根据本申请一实施例的指纹采集的方法的示意性流程图。
图4是根据本申请另一实施例的指纹采集的方法的示意性流程图。
图5是根据本申请实施例的指纹采集的方法的后续操作流程图。
图6是根据本申请实施例的指纹采集装置的示意性框图。
图7是根据本申请实施例的终端设备的示意性框图。
具体实施方式
下面将结合附图，对本申请实施例中的技术方案进行描述。
应理解，本申请实施例可以应用于光学指纹系统，包括但不限于光学指纹识别系统和基于光学指纹成像的医疗诊断产品，本申请实施例仅以光学指纹系统为例进行说明，但不应对本申请实施例构成任何限定，本申请实施例同样适用于其他采用光学成像技术的系统等。
作为一种常见的应用场景，本申请实施例提供的光学指纹系统可以应用在智能手机、平板电脑以及其他具有显示屏的移动终端或者其他终端设备；更具体地，在上述终端设备中，指纹采集装置可以具体为光学指纹装置，其可以设置在显示屏下方的局部区域或者全部区域，从而形成屏下(Under-display)光学指纹系统。
如图1所示为本申请实施例可以适用的终端设备的结构示意图，所述终端设备700包括显示屏720和光学指纹装置730，其中，所述光学指纹装置730设置在所述显示屏720下方的局部区域。所述光学指纹装置730包括具有多个光学感应单元的感应阵列，所述感应阵列所在区域为所述光学指纹装置730的指纹检测区域703。如图1所示，所述指纹检测区域703位于所述显示屏720的显示区域702之中，因此，使用者在需要对所述终端设备进行 解锁或者其他指纹验证的时候，只需要将手指按压在位于所述显示屏720的指纹检测区域703，便可以实现指纹输入。由于指纹检测可以在屏内实现，因此采用上述结构的终端设备700无需其正面专门预留空间来设置指纹按键(比如Home键)，从而可以采用全面屏方案，即所述显示屏720的显示区域702可以基本扩展到整个终端设备700的正面。
作为一种优选的实施例中，所述显示屏720可以采用具有自发光显示单元的显示屏，比如有机发光二极管(Organic Light-Emitting Diode，OLED)显示屏或者微型发光二极管(Micro-LED)显示屏。以采用OLED显示屏为例，所述光学指纹装置730可以利用所述OLED显示屏720位于所述指纹检测区域703的显示单元(即OLED光源)来作为光学指纹检测的激励光源。并且，所述光学指纹装置730的感应阵列具体为光探测器(Photo detector)阵列，其包括多个呈阵列式分布的光探测器，所述光探测器可以作为如上所述的光学感应单元。当手指按压在所述指纹检测区域703时，所述指纹检测区域703的显示单元发出的光线在手指表面的指纹发生反射并形成反射光，其中所述手指指纹的脊和谷的反射光是不同的，反射光从所述显示屏720并被所述光探测器阵列所接收并转换为相应的电信号，即指纹检测信号；基于所述指纹检测信号便可以获得指纹图像数据，并且可以进一步进行指纹匹配验证，从而在所述终端设备700实现光学指纹识别功能。
应当理解的是，在具体实现上，所述终端设备700还包括透明保护盖板710，所述盖板710可以为玻璃盖板或者蓝宝石盖板，其位于所述显示屏720的上方并覆盖所述终端设备700的正面。因为，本申请实施例中，所谓的手指按压在所述显示屏720实际上是指按压在所述显示屏720上方的盖板710或者覆盖所述盖板710的保护层表面。
作为一种可选的实现方式，如图1所示，所述光学指纹装置730包括光检测部分134和光学组件732，所述光检测部分134包括所述感应阵列以及与所述感应阵列电性连接的读取电路及其他辅助电路，其可以在通过半导体工艺制作在一个芯片(Die)；所述光学组件732可以设置在所述光检测部分134的感应阵列的上方，其可以具体包括滤光层(Filter)、导光层以及其他光学元件，所述滤光层可以用于滤除穿透手指的环境光，而所述导光层主要用于从手指表面反射回来的反射光导引至所述感应阵列进行光学检测。
在具体实现上，所述光学组件732可以与所述光检测部分134封装在同 一个光学指纹芯片。其中，所述导光层可以具体为在半导体硅片制作而成的准直器(Collimator)层或者透镜(Lens)层，其具有多个准直单元或者透镜单元，所述准直单元可以具体为小孔，从手指反射回来的反射光中，垂直入射到所述准直单元的光线可以穿过并被其下方的光学感应单元接收，而倾斜入射的光线在所述准直单元内部经过多次反射被衰减掉，因此每一个光学感应单元基本只能接收到其正上方的指纹纹路反射回来的反射光，从而所述感应阵列便可以检测出手指的指纹图像。
在所述光学指纹装置730中，每一个准直单元或者透镜单元可以分别对应所述感应阵列的其中一个光学感应单元；可替代地，所述准直器单元或者透镜单元跟所述感应阵列的光学感应单元之间也可以采用非一一对应的关系来降低产生莫尔条纹干扰，比如一个光学感应单元可以对应于多个准直单元或者透镜单元，或者，所述准直单元或者透镜单元也可以采用不规则排列的方式；采用不规则排列的准直单元或者透镜单元可以通过后期软件算法来对每一个感应单元检测到的反射光线进行校正。
在其他替代实现方式中，所述显示屏720也可以采用非自发光的显示屏，比如采用背光的液晶显示屏；在这种情况下，所述光学检测装置730便无法采用所述显示屏720的显示单元作为激励光源，因此需要在所述光学检测装置730内部集成激励光源或者在其外部设置激励光源来实现光学指纹检测，其检测原理与上面描述内容是一致的。
在介绍本申请实施例的指纹采集的方法之前，首先介绍一下跟本申请实施例相关的技术。
指纹采集装置，例如图1所示的光学指纹装置730采集的手指的指纹图像主要包括以下几种图像分量：
1、激励光源发射的光信号不经手指反射直接穿过光学成像光路被指纹采集装置采集到的图像分量1；
2、激励光源发射的光信号经手指反射后穿过光学成像光路被指纹采集装置采集到的图像分量2；
3、环境光透过光学成像光路后被指纹采集装置采集到的图像分量3；
4、芯片暗电流产生的图像分量4。
其中，图像分量1是激励光源形成的本地图像，图像分量2是包含指纹信息的图像分量，图像分量3和4为干扰图像，且会随着使用环境、使用频 次、按压手指、按压区域等因素的变化而变化。
由上文描述可知，采用优化芯片设计，或采用典型环境下的校准参数进行校准的方式都不能有效消除环境光、芯片暗电流、温度等因素对指纹图像的干扰。
有鉴于此，本申请实施例提供了一种指纹采集的方法，有利于降低环境光、芯片暗电流、温度等因素对指纹图像的干扰。
图2是根据本申请实施例的指纹采集的方法100的示意性流程图。如图2所示，该方法100包括如下内容：
S101，采集第一指纹图像和至少一个第二指纹图像，其中，采集所述第一指纹图像的屏幕亮度高于采集所述至少一个第二指纹图像的屏幕亮度。
也就是说，在本申请实施例中，采集第一指纹图像时的激励光源的亮度高于采集所述至少一个第二指纹图像时的激励光源的亮度，或者采集所述至少一个第二指纹图像时，激励光源为熄灭状态。
这里，所述第一指纹图像也可以称为亮屏图像，所述至少一个第二指纹图像也可以称为暗屏图像，即所述第一指纹图像是亮屏情况下采集的指纹图像，所述至少一个第二指纹图像为暗屏或熄屏情况下的指纹图像。
应理解，在本申请实施例中，可以先采集第一指纹图像，或者也可以先采集所述至少一个第二指纹图像，本申请实施例并不特别限定所述第一指纹图像和所述至少一个第二指纹图像的采集顺序。
例如，可以先将曝光参数设置为第一曝光参数，在第一曝光参数下，采集所述第一指纹图像，或者也可以先将曝光参数设置为第二曝光参数，在所述第二曝光参数下，采集所述至少一个第二指纹图像，或者也可以是所述至少一个第二指纹图像对应不同的曝光参数，在不同的曝光参数下，采集所述至少一个第二指纹图像。
应理解，在本申请实施例中，采集指纹图像采用的曝光参数可以为一个或多个，例如，曝光参数可以包括曝光时间，或者也可以包括其他曝光参数，以下，主要以所述曝光参数包括曝光时间为例介绍本申请实施例，但不应对本申请实施例构成任何限定，本申请实施例也可以根据其他曝光参数对暗屏图像进行校准，得到干扰图像。
可选地，在本申请实施例中，所述第一指纹图像对应的曝光时间与所述至少一个第二指纹图像对应的曝光时间可以相同，也可以不同，即可以采用 相同的曝光时间采集所述第一指纹图像和所述至少一个第二指纹图像。所述至少一个第二指纹图像对应的曝光时间可以相同，也可以不同，即可以采用相同的曝光时间采集所述至少一个第二指纹图像，也可以采用不同的曝光时间，采集所述至少一个第二指纹图像，本申请实施例对此不作特别限定。
由于采集所述第一指纹图像和所述至少一个第二指纹图像的时间差非常小，可以认为采集所述第一指纹图像和采集所述至少一个第二指纹图像时的环境、温度和芯片暗电流等干扰因素相同或相近，因此，可以根据所述至少一个第二指纹图像，确定当前干扰条件下，所述第一指纹图像的干扰图像，任何根据该干扰图像对所述第一指纹图像进行干扰消除，从而能够有效消除环境、温度和芯片暗电流等因素带来的干扰。
S102，根据所述第一指纹图像和所述至少一个第二指纹图像，确定第三指纹图像，其中，所述第三指纹图像为所述第一指纹图像的曝光时间相同的干扰图像；
S103，根据所述第三指纹图像对所述第一指纹图像进行干扰消除，得到第四指纹图像。
由S101中的描述可知，由于采集所述第一指纹图像和采集所述至少一个第二指纹图像的干扰因素相同或相近，因此，可以根据所述至少一个第二指纹图像，确定第一指纹图像的干扰图像，即第三指纹图像，然后根据所述第三指纹图像对所述第一指纹图像进行干扰消除，从而得到去除干扰的第四指纹图像。
考虑到采集所述至少一个第二指纹图像的曝光参数和采集所述第一指纹图像的曝光参数可能存在不一致，因此，可以根据曝光参数差异对所述至少一个第二指纹图像进行校准，确定与所述第一指纹图像的曝光参数相同的干扰图像，即第三指纹图像，经过校准后得到的第三指纹图像消除了曝光差异带来的偏差，此时，所述第三指纹图像和所述第一指纹图像可以认为包括相同或相近的图像分量3和图像分量4，而第三指纹图像不包括或包括很少的图像分量2，因此，根据所述第三指纹图像对所述第一指纹图像进行干扰消除，能够有效降低环境光、芯片暗电流和温度等因素带来的干扰，也就是说，去除干扰的第四指纹图像更接近真实的指纹图像。
因此，根据本申请实施例的指纹采集的方法采集的指纹图像，有利于避免降低环境光、芯片暗电流和温度等因素带来的干扰，从而能够提升光学指 纹系统的稳定性。进一步地，由于去除干扰的第四指纹图像更接近真实的指纹图像，从而根据所述第四指纹图像，进行指纹识别或指纹验证等操作，能够提升光学指纹系统的安全性。
可选地，作为一个实施例，S102可以包括：
对所述至少一个第二指纹图像取平均值得到第五指纹图像；
根据所述第一指纹图像和所述第五指纹图像的曝光参数，确定所述第三指纹图像。
在本实施例中，所述第一指纹图像是采用第一曝光参数采集的，所述至少一个第二指纹图像是采用第二曝光参数采集的，即，所述至少一个第二指纹图像是采用相同的曝光参数采集的，其中，所述第一曝光参数包括第一曝光时间，所述第二曝光参数包括第二曝光时间，所述第一曝光时间和所述第二曝光时间相同或不同。
这种情况下，可以对所述至少一个第二指纹图像求平均值，得到信噪比更高的第五指纹图像，然后根据所述第五指纹图像和所述第一指纹图像的曝光参数的差异，确定所述第三指纹图像，即干扰图像。
在本申请实施例中，根据信噪比高的第五指纹图像，确定所述第三指纹图像，有利于提升确定的干扰图像的准确度和可靠性。
进一步地，所述根据所述第一指纹图像和所述第五指纹图像的曝光参数，确定所述第三指纹图像，包括：
若所述第一曝光时间和所述第二曝光时间相同，将所述第五指纹图像确定为所述第三指纹图像；或
若所述第一曝光时间和所述第二曝光时间不同，将所述第五指纹图像乘以校准因子并减去特定偏移图像后得到的指纹图像确定为所述第三指纹图像，其中，所述校准因子是根据所述第一曝光参数和所述第二曝光参数确定的。
其中，将所述第五指纹图像乘以校准因子可以认为是将所述第五指纹图像中的每个像素点的像素值都乘以一个校准因子，这里，将乘以校准因子的第五指纹图像记为第六指纹图像，然后将第六指纹图像减去特定偏移图像得到第三指纹图像，也就是说，第三指纹图像中的每个像素点的像素值为所述第六指纹图像中的对应像素点的像素值减去所述特定偏移图像中对应的像素点的像素值。
也就是说，将所述第五指纹图像乘以校准因子，是将该第五指纹图像中的每个像素点的像素值做同比例放缩，将第六指纹图像减去特定偏移图像是将所述第六指纹图像中的每个像素点的像素值做特定的偏移，每个像素点的偏移量可以相同，也可以不同。
可选地，在本申请实施例中，也可以先将所述第五指纹图像减去特定偏移图像，然后再乘以校准因子后得到的指纹图像确定为所述第三指纹图像，简单来说，可以先乘以第一校准因子，后偏移第一偏移图像，也可以先偏移第二偏移图像，后乘以第二校准因子，或者，也可以先偏移第三偏移图像，然后乘以第三校准因子，最后再偏移第四偏移图像等，本申请实施例并不特别限定所述第五指纹图像的处理过程，其中，每个偏移图像以及每个校准因子可以根据所述第五指纹图像和所述第一指纹图像的曝光参数确定。
可选地，所述校准因子可以为第一曝光时间和所述第二曝光时间的比值，或者也可以根据所述第一曝光参数和所述第二曝光参数中的其他曝光参数确定，本申请实施例对此不作限定。
总而言之，若采集第一指纹图像和所述至少一个第二指纹图像采用的曝光时间相同，那么可以将所述第五指纹图像确定为干扰图像，或若采集第一指纹图像和所述至少一个第二指纹图像采用的曝光时间不同，可以对所述第五指纹图像进行校准，得到与所述第一指纹图像的曝光时间相同的干扰图像。
应理解，以上确定第三指纹图像的示例仅为一种优选的实现方式，本申请实施例也可以在第一曝光时间和所述第二曝光时间相同的情况下，将所述至少一个第二指纹图像中的任一指纹图像确定为所述第三指纹图像，或者将所述至少一个第二指纹图像中的部分指纹图像取平均值得到的指纹图像确定为所述第三指纹图像等；或者在所述第一曝光时间和所述第二曝光时间不同的情况下，也可以将所述至少一个第二指纹图像中的任一指纹图像乘以校准因子得到的指纹图像确定为所述第一指纹图像的干扰图像等，本申请实施例不作限定。
可选地，作为另一个实施例，所述S102可以包括：
将所述至少一个第二指纹图像进行插值或拟合处理得到与所述第一指纹图像的曝光时间相同的所述第三指纹图像。
在本实施例中，所述至少一个第二指纹图像是采用不同的曝光参数采集 的，或者说，所述至少一个第二指纹图像对应不同的曝光时间，此情况下，可以根据所述至少一个第二指纹图像，采用插值或拟合等处理方式得到与所述第一指纹图像的曝光时间相同的第三指纹图像。
特别地，若所述至少一个第二指纹图像包括一个第二指纹图像，S102可以包括：
若所述第一指纹图像和所述第二指纹图像的曝光时间相同，确定所述第二指纹图像为所述第三指纹图像；或
若所述第一指纹图像和所述第二指纹图像的曝光时间不同，将所述第二指纹图像乘以校准因子并减去特定偏移图像得到的指纹图像确定为所述第三指纹图像，其中，所述校准因子是根据所述第一指纹图像和所述第二指纹图像的曝光参数确定的。
此情况下，所述至少一个第二指纹图像只包括一个第二指纹图像，例如，该第二指纹图像为长曝光时间或短曝光时间的指纹图像，那么可以根据该第二指纹图像和第一指纹图像的曝光参数，确定所述第三指纹图像，具体实现过程可以参考前述实施例中的相关描述。
需要说明的是，本申请实施例所列举的确定第一指纹图像的干扰图像，即第三指纹图像的实现方式，仅为更好的理解本申请实施例，不应对本申请实施例构成任何限定，只要根据在亮屏情况下采集第一指纹图像，并且在暗屏或熄屏情况下采集至少一个第二指纹图像，并根据所述至少一个第二指纹图像，确定与所述第一指纹图像的曝光时间相同的第三指纹图像，然后根据所述第三指纹图像对所述第一指纹图像进行干扰消除，得到去除干扰图像的第四指纹图像，都落入本申请实施例的保护范围。
可选地，所述根据所述第三指纹图像对所述第一指纹图像进行干扰消除，得到第四指纹图像，包括：
将所述第一指纹图像减去所述第三指纹图像的差值图像，确定为所述第四指纹图像。
例如，可以将所述第一指纹图像中的每个像素点的像素值减去所述第三指纹图像中的对应像素点的像素值，所述第四指纹图像可以为按照上述方法得到的差值图像，即所述第四指纹图像中的每个像素点的像素值为所述第一指纹图像和所述第三指纹图像中的对应像素点的像素值之差。
以下，结合图3至图4所示的具体示例，详细介绍本申请实施例的指纹 采集的方法。
图3和图4所示的实施例的区别在于，图3所示的实施例中，暗屏图像是在同一曝光参数下采集的，即N个暗屏图像对应相同的曝光参数，在图4所示的实施例中，N个暗屏图像对应不同的曝光参数。
应理解，图3和图4示出了本申请实施例的指纹采集的方法的详细的步骤或操作，但这些步骤或操作仅是示例，本申请实施例还可以执行其它操作或者图3和图4的各种操作的变形。此外，图3和图4中的各个步骤可以分别按照与图3和图4所呈现的不同的顺序来执行，并且有可能并非要执行图3和图4中的全部操作。
如图3所示的指纹采集的方法200可以包括如下步骤：
S201，人体手指按压光学成像系统上的按压区域，例如，手机的屏幕。
S202，将曝光参数设置为曝光参数0，其中，所述曝光参数0可以包括第一曝光时间。
S203中，在曝光参数0下，进行亮屏图像采集，即采集第一指纹图像。
其中，所述亮屏图像的曝光时间为第一曝光时间。
S204，将曝光参数设置为曝光参数1，其中，所述曝光参数1可以包括第二曝光时间。
其中，所述第一曝光时间和所述第二曝光时间相同或不同。
S205，在所述曝光参数1下，进行暗屏图像采集。
例如，采集的暗屏图像可以包括暗屏图像1，暗屏图像2，…，暗屏图像N，其中，N≥1，N个暗屏图像的曝光时间为所述第二曝光时间，这里的N个暗屏图像对应于前文描述的至少一个第二指纹图像。
应理解，在本申请实施例中，也可以是先执行S204和S205，然后执行S202和S203，即也可以先采集暗屏图像，后采集亮屏图像。
在S206中，对N个暗屏图像取平均值，得到平均值图像。
这里的平均值图像对应于前文描述的第五指纹图像。
在S207中，根据曝光参数0和曝光参数1，确定校准因子。
例如，所述校准因子可以为所述第一曝光时间和所述第二曝光时间的比值。
在S208中，根据所述校准因子，对所述平均值图像进行曝光校准，得到干扰图像。
这里的干扰图像对应于前文描述的第三指纹图像，例如，可以将所述平均值图像乘以校准因子得到的指纹图像确定为所述干扰图像。
在S209中，根据所述干扰图像对所述亮屏图像进行干扰消除，得到去除干扰图像的指纹图像，即前文描述的第四指纹图像。
例如，可以将亮屏图像减去所述干扰图像的差值图像，确定为所述第四指纹图像。
如图4所示，本申请实施例的指纹采集的方法300可以包括S301～S306，其中，S301～S303的具体执行过程和方法200中S201～S203的具体执行过程类似，这里不再赘述。
在S304中，设置N组曝光参数，例如，曝光参数1～曝光参数N，每组曝光参数对应的曝光时间不同，在N组不同的曝光参数下，采集N个暗屏图像，例如，暗屏图像1，暗屏图像2，…，暗屏图像N，其中，N≥1。
在S305中，根据采集的N个暗屏图像确定与亮屏图像的曝光时间相同的干扰图像。
例如，可以采用插值或拟合的方式确定与所述亮屏图像的曝光时间相同的干扰图像。
进一步地，在S306中，根据在S305中确定的干扰图像对亮屏图像进行干扰消除，得到去除干扰图像的指纹图像。
例如，可以将亮屏图像减去所述干扰图像的差值图像，确定为所述第四指纹图像。
可选地，去除干扰的指纹图像，即第四指纹图像可以用于后续的指纹识别，或干湿度测量，或按压区域分割等操作，本申请实施例并不限定所述第四指纹图像的应用场景。
图5是本申请实施例的指纹采集的方法的后续操作的示意性流程图。
其中，图5中的S401可以对应于图3所示的方法200中的S201，以及图4所示的方法300中的S301，这里不再赘述。
在S402中，确定去除干扰图像的指纹图像。
具体地，S402的执行过程可以参考前述实施例中的相关描述，这里不再赘述。
应用场景一：
在S403中，可以对S402中得到的指纹图像进一步处理，例如，可以对 该指纹图像执行校准、增强处理等操作。
在S404中，将处理后的指纹图像输入到指纹识别模块进行指纹识别或指纹注册。
即可以根据本申请实施例的指纹采集的方法获取去除干扰的第四指纹图像，由于该第四指纹图像相对于第一指纹图像更接近真实的指纹图像，因此，根据所述第四指纹图像进行指纹识别，有利于提升指纹识别系统的安全性。
应用场景二：
在S405中，可以对去除干扰图像的指纹图像进一步处理，例如，可以对该指纹图像进行校准，以排除激励光源的亮度分别不均等因素对指纹图像的影响。
进一步地，在S406中，对处理后的指纹图像进行按压区域分割。
例如，可以按照一定的阈值进行按压区域的分割，将按压区域分割为包含指纹信息的区域，以及不包含指纹信息的区域。由于该指纹图像不受环境光、暗电流和温度等因素的影响，因此，根据该指纹图像进行区域分割，有利于提升区域分割的准确性和鲁棒性。
应用场景三：
在S407中，根据所述去除干扰图像的指纹图像进行干湿度测量。
具体地，可以将去除干扰图像的指纹图像输入到干湿度测量模块，由于该指纹图像不受环境光、暗电流和温度等因素的影响，因此，根据该指纹图像进行干湿度测量，能够提升干湿度测量的准确性。
因此，本申请实施例的指纹采集的方法，在同一干扰条件下，采集亮屏图像和至少一个暗屏图像，并根据所述至少一个暗屏图像确定与所述亮屏图像的曝光时间相同的干扰图像，由于所述第一指纹图像和干扰图像包括的干扰图像分量相同或相似，因此，根据所述干扰图像对亮屏图像进行干扰消除，有利于降低环境光、暗电流和温度等因素对指纹图像的影响。
上文结合图2至图5，详细描述了本申请的方法实施例，下文结合图6至图7，详细描述本申请的装置实施例，应理解，装置实施例与方法实施例相互对应，类似的描述可以参照方法实施例。
图6是根据本申请实施例的指纹采集装置500的示意性框图，如图6所示，该装置500包括：
采集模块510，用于采集第一指纹图像和至少一个第二指纹图像，其中，采集所述第一指纹图像的屏幕亮度高于采集所述至少一个第二指纹图像的屏幕亮度；
确定模块520，用于根据所述第一指纹图像和所述至少一个第二指纹图像，确定第三指纹图像，根据所述第三指纹图像对所述第一指纹图像进行干扰消除，得到第四指纹图像，其中，所述第三指纹图像为与所述第一指纹图像的曝光时间相同的干扰图像。
可选地，在一些实施例中，所述采集模块510具体用于：
在第一曝光参数下，采集第一指纹图像；以及
在第二曝光参数下，采集所述至少一个第二指纹图像；
其中，所述第一曝光参数包括第一曝光时间，所述第二曝光参数包括第二曝光时间。
可选地，在一些实施例中，所述确定模块520具体用于：
对所述至少一个第二指纹图像取平均值得到第五指纹图像；
根据所述第一指纹图像和所述第五指纹图像的曝光参数，确定所述第三指纹图像。
可选地，在一些实施例中，所述确定模块520还用于：
若所述第一曝光时间和所述第二曝光时间相同，将所述第五指纹图像确定为所述第三指纹图像；或
若所述第一曝光时间和所述第二曝光时间不同，将所述第五指纹图像乘以校准因子并减去特定偏移图像后得到的指纹图像确定为所述第三指纹图像，其中，所述校准因子是根据所述第一曝光参数和所述第二曝光参数确定的。
可选地，在一些实施例中，所述特定偏移图像中的每个像素点的像素值为零。
可选地，在一些实施例中，所述校准因子为所述第一曝光时间和所述第二曝光时间的比值。
可选地，在一些实施例中，所述采集模块510还用于：
在第一曝光参数下，采集第一指纹图像；以及
在至少一种第二曝光参数下，采集所述至少一个第二指纹图像；
其中，所述至少一种第二曝光参数与所述至少一个第二指纹图像一一对 应。
可选地，在一些实施例中，所述确定模块520具体用于：
将所述至少一个第二指纹图像进行插值或拟合处理得到与所述第一指纹图像的曝光时间相同的所述第三指纹图像。
可选地，在一些实施例中，所述至少一个第二指纹图像包括一个第二指纹图像，所述确定模块520具体用于：
若所述第一指纹图像和所述第二指纹图像的曝光时间相同，确定所述第二指纹图像为所述第三指纹图像；或
若所述第一指纹图像和所述第二指纹图像的曝光时间不同，将所述第二指纹图像乘以校准因子并减去特定偏移图像后得到的指纹图像确定为所述第三指纹图像，其中，所述校准因子是根据所述第一指纹图像和所述第二指纹图像的曝光参数确定的。
可选地，在一些实施例中，所述装置500还包括：
处理模块，用于根据所述第四指纹图像进行指纹识别，干湿度测量或按压区域分割。
如图7所示，本申请实施例还提供了一种终端设备600，所述终端设备600可以为图6中的装置500，其能够用于执行图2至图5中方法实施例中的内容。所述终端设备600包括：指纹采集模块610和处理器620。
其中，所述指纹采集模块610和所述处理器620通过内部连接通路互相通信，所述指纹采集模块610用于采集所述第一指纹图像和所述至少一个第二指纹图像。所述处理器620用于根据所述第一指纹图像和所述至少一个第二指纹图像，确定第三指纹图像，并根据所述第三指纹图像对所述第一指纹图像进行干扰消除，得到第四指纹图像。
具体地，该指纹采集模块610可以对应本申请实施例的装置500中的采集模块510，该处理器620可以对应本申请实施例的装置500中的确定模块520和处理模块，为了简洁，在此不再赘述。
应理解，本申请实施例的处理器620可以是一种集成电路芯片，具有信号的处理能力。在实现过程中，上述方法实施例的各步骤可以通过处理器中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器可以是通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现成可编程门阵列(Field  Programmable Gate Array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。可以实现或者执行本申请实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。结合本申请实施例所公开的方法的步骤可以直接体现为硬件译码处理器执行完成，或者用译码处理器中的硬件及软件模块组合执行完成。软件模块可以位于随机存储器，闪存、只读存储器，可编程只读存储器或者电可擦写可编程存储器、寄存器等本领域成熟的存储介质中。该存储介质位于存储器，处理器读取存储器中的信息，结合其硬件完成上述方法的步骤。
可以理解，本申请实施例的终端设备600还可以包括存储器，存储器可以是易失性存储器或非易失性存储器，或可包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(Read-Only Memory，ROM)、可编程只读存储器(Programmable ROM，PROM)、可擦除可编程只读存储器(Erasable PROM，EPROM)、电可擦除可编程只读存储器(Electrically EPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(Random Access Memory，RAM)，其用作外部高速缓存。通过示例性但不是限制性说明，许多形式的RAM可用，例如静态随机存取存储器(Static RAM，SRAM)、动态随机存取存储器(Dynamic RAM，DRAM)、同步动态随机存取存储器(Synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(Double Data Rate SDRAM，DDR SDRAM)、增强型同步动态随机存取存储器(Enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(Synchlink DRAM，SLDRAM)和直接内存总线随机存取存储器(Direct Rambus RAM，DR RAM)。应注意，本文描述的系统和方法的存储器旨在包括但不限于这些和任意其它适合类型的存储器。
本申请实施例还提出了一种计算机可读存储介质，该计算机可读存储介质存储一个或多个程序，该一个或多个程序包括指令，该指令当被包括多个应用程序的便携式电子设备执行时，能够使该便携式电子设备执行图2至图5所示实施例的方法。
本申请实施例还提出了一种计算机程序，该计算机程序包括指令，当该计算机程序被计算机执行时，使得计算机可以执行图2至图5所示实施例的方法。
本申请实施例还提供了一种芯片，该芯片包括输入输出接口、至少一个处理器、至少一个存储器和总线，该至少一个存储器用于存储指令，该至少一个处理器用于调用该至少一个存储器中的指令，以执行图2至图5所示实施例的方法。
应理解，在本申请的各种实施例中，上述各过程的序号的大小并不意味着执行顺序的先后，各过程的执行顺序应以其功能和内在逻辑确定，而不应对本申请实施例的实施过程构成任何限定。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应所述理解到，所揭露的系统、装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请 的技术方案本质上或者说对现有技术做出贡献的部分或者所述技术方案的部分可以以软件产品的形式体现出来，所述计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应所述以权利要求的保护范围为准。

Claims (22)

  1. 一种指纹采集的方法，其特征在于，包括：
    采集第一指纹图像和至少一个第二指纹图像，其中，采集所述第一指纹图像的屏幕亮度高于采集所述至少一个第二指纹图像的屏幕亮度；
    根据所述第一指纹图像和所述至少一个第二指纹图像，确定第三指纹图像，其中，所述第三指纹图像为与所述第一指纹图像的曝光时间相同的干扰图像；
    根据所述第三指纹图像对所述第一指纹图像进行干扰消除，得到第四指纹图像。
  2. 根据权利要求1所述的方法，其特征在于，所述采集第一指纹图像和至少一个第二指纹图像，包括：
    在第一曝光参数下，采集第一指纹图像；以及
    在第二曝光参数下，采集所述至少一个第二指纹图像；
    其中，所述第一曝光参数包括第一曝光时间，所述第二曝光参数包括第二曝光时间。
  3. 根据权利要求2所述的方法，其特征在于，所述根据所述第一指纹图像和所述至少一个第二指纹图像，确定第三指纹图像，包括：
    对所述至少一个第二指纹图像取平均值得到第五指纹图像；
    根据所述第一指纹图像和所述第五指纹图像的曝光参数，确定所述第三指纹图像。
  4. 根据权利要求3所述的方法，其特征在于，所述根据所述第一指纹图像和所述第五指纹图像的曝光参数，确定所述第三指纹图像，包括：
    若所述第一曝光时间和所述第二曝光时间相同，将所述第五指纹图像确定为所述第三指纹图像；或
    若所述第一曝光时间和所述第二曝光时间不同，将所述第五指纹图像乘以校准因子并减去特定偏移图像后得到的指纹图像确定为所述第三指纹图像，其中，所述校准因子是根据所述第一曝光参数和所述第二曝光参数确定的。
  5. 根据权利要求4所述的方法，其特征在于，所述特定偏移图像中的每个像素点的像素值为零。
  6. 根据权利要求4或5所述的方法，其特征在于，所述校准因子为所 述第一曝光时间和所述第二曝光时间的比值。
  7. 根据权利要求1所述的方法，其特征在于，所述采集第一指纹图像和至少一个第二指纹图像，包括：
    在第一曝光参数下，采集第一指纹图像；以及
    在至少一种第二曝光参数下，采集所述至少一个第二指纹图像；
    其中，所述至少一种第二曝光参数与所述至少一个第二指纹图像一一对应。
  8. 根据权利要求7所述的方法，其特征在于，所述根据所述第一指纹图像和所述至少一个第二指纹图像，确定第三指纹图像，包括：
    将所述至少一个第二指纹图像进行插值或拟合处理得到与所述第一指纹图像的曝光时间相同的所述第三指纹图像。
  9. 根据权利要求1、2或7所述的方法，其特征在于，所述至少一个第二指纹图像包括一个第二指纹图像，所述根据所述第一指纹图像和所述至少一个第二指纹图像，确定第三指纹图像，包括：
    若所述第一指纹图像和所述第二指纹图像的曝光时间相同，确定所述第二指纹图像为所述第三指纹图像；或
    若所述第一指纹图像和所述第二指纹图像的曝光时间不同，将所述第二指纹图像乘以校准因子并减去特定偏移图像后得到的指纹图像确定为所述第三指纹图像，其中，所述校准因子是根据所述第一指纹图像和所述第二指纹图像的曝光参数确定的。
  10. 根据权利要求1至9中任一项所述的方法，其特征在于，所述方法还包括：
    根据所述第四指纹图像进行指纹识别，干湿度测量或按压区域分割。
  11. 一种指纹采集装置，其特征在于，包括：
    采集模块，用于采集第一指纹图像和至少一个第二指纹图像，其中，采集所述第一指纹图像的屏幕亮度高于采集所述至少一个第二指纹图像的屏幕亮度；
    确定模块，用于根据所述第一指纹图像和所述至少一个第二指纹图像，确定第三指纹图像，根据所述第三指纹图像对所述第一指纹图像进行干扰消除，得到第四指纹图像，其中，所述第三指纹图像为所述第一指纹图像的曝光时间相同的干扰图像。
  12. 根据权利要求11所述的装置，其特征在于，所述采集模块具体用于：
    在第一曝光参数下，采集第一指纹图像；以及
    在第二曝光参数下，采集所述至少一个第二指纹图像；
    其中，所述第一曝光参数包括第一曝光时间，所述第二曝光参数包括第二曝光时间。
  13. 根据权利要求11所述的装置，其特征在于，所述确定模块具体用于：
    对所述至少一个第二指纹图像取平均值得到第五指纹图像；
    根据所述第一指纹图像和所述第五指纹图像的曝光参数，确定所述第三指纹图像。
  14. 根据权利要求12所述的装置，其特征在于，所述确定模块还用于：
    若所述第一曝光时间和所述第二曝光时间相同，将所述第五指纹图像确定为所述第三指纹图像；或
    若所述第一曝光时间和所述第二曝光时间不同，将所述第五指纹图像乘以校准因子并减去特定偏移图像后得到的指纹图像确定为所述第三指纹图像，其中，所述校准因子是根据所述第一曝光参数和所述第二曝光参数确定的。
  15. 根据权利要求14所述的装置，其特征在于，所述特定偏移图像中的每个像素点的像素值为零。
  16. 根据权利要求14或15所述的装置，其特征在于，所述校准因子为所述第一曝光时间和所述第二曝光时间的比值。
  17. 根据权利要求11所述的装置，其特征在于，所述采集模块还用于：
    在第一曝光参数下，采集第一指纹图像；以及
    在至少一种第二曝光参数下，采集所述至少一个第二指纹图像；
    其中，所述至少一种第二曝光参数与所述至少一个第二指纹图像一一对应。
  18. 根据权利要求17所述的装置，其特征在于，所述确定模块具体用于：
    将所述至少一个第二指纹图像进行插值或拟合处理得到与所述第一指纹图像的曝光时间相同的所述第三指纹图像。
  19. 根据权利要求11、12或17所述的装置，其特征在于，所述至少一个第二指纹图像包括一个第二指纹图像，所述确定模块具体用于：
    若所述第一指纹图像和所述第二指纹图像的曝光时间相同，确定所述第二指纹图像为所述第三指纹图像；或
    若所述第一指纹图像和所述第二指纹图像的曝光时间不同，将所述第二指纹图像乘以校准因子并减去特定偏移图像后得到的指纹图像确定为所述第三指纹图像，其中，所述校准因子是根据所述第一指纹图像和所述第二指纹图像的曝光参数确定的。
  20. 根据权利要求11至19中任一项所述的装置，其特征在于，所述装置还包括：
    处理模块，用于根据所述第四指纹图像进行指纹识别，干湿度测量或按压区域分割。
  21. 一种芯片，其特征在于，包括：
    如权利要求11至20中任一项所述的指纹采集装置。
  22. 一种终端设备，其特征在于，包括：
    如权利要求11至20中任一项所述的指纹采集装置。
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