WO2020061740A1 - 指纹识别装置、方法和终端设备 - Google Patents

指纹识别装置、方法和终端设备 Download PDF

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Publication number
WO2020061740A1
WO2020061740A1 PCT/CN2018/107309 CN2018107309W WO2020061740A1 WO 2020061740 A1 WO2020061740 A1 WO 2020061740A1 CN 2018107309 W CN2018107309 W CN 2018107309W WO 2020061740 A1 WO2020061740 A1 WO 2020061740A1
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WIPO (PCT)
Prior art keywords
type
fingerprint
light intensity
pixel point
target
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Application number
PCT/CN2018/107309
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English (en)
French (fr)
Inventor
姚国峰
沈健
Original Assignee
深圳市汇顶科技股份有限公司
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Filing date
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 PCT/CN2018/107309 priority Critical patent/WO2020061740A1/zh
Priority to CN201880001630.7A priority patent/CN109313706B/zh
Priority to EP18874995.6A priority patent/EP3657381B1/en
Priority to US16/412,298 priority patent/US10943083B2/en
Publication of WO2020061740A1 publication Critical patent/WO2020061740A1/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
    • 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
    • G06V40/40—Spoof detection, e.g. liveness detection
    • G06V40/45—Detection of the body part being alive

Definitions

  • the present application relates to the field of optical fingerprint technology, and more particularly, to a fingerprint identification device, method, and terminal device.
  • optical fingerprint recognition device brings users a safe and convenient user experience, but fake fingerprints such as fingerprint molds made by artificial materials (such as silicone, white glue, etc.), printed fingerprint images, etc. are a safe in fingerprint applications. Hidden danger. Therefore, how to identify the authenticity of the fingerprint collected by the optical fingerprint recognition device to improve the security of fingerprint recognition is an urgent problem to be solved.
  • the embodiments of the present application provide a fingerprint identification device, method, and terminal device, which can identify the authenticity of a fingerprint, thereby improving the security of fingerprint identification.
  • a fingerprint identification device including:
  • An optical sensor includes a pixel array, wherein the pixel array includes a plurality of first-type pixels and at least one second-type pixel, and the plurality of first-type pixels and the at least one second-type pixel are used for For receiving a light signal from a target;
  • a color filter layer or a polarizer is disposed above the at least one second-type pixel point;
  • a processor configured to determine the intensity of the optical signal received by each second-type pixel point and the intensity of the optical signal received by at least one first-type pixel point adjacent to each second-type pixel point Whether the target is a real finger.
  • the color filter layer is a color filter material, and a wavelength range of the color filter material includes only a part of a wavelength range of an optical signal used for fingerprint identification.
  • the color filter material is a green filter material, a blue filter material, or a red filter material.
  • the light signals received by the second type of pixel point and the neighboring first type pixel points are all from the fingerprint ⁇ or both are from the fingerprint ⁇ .
  • a light-transmitting material is disposed above the plurality of first-type pixels.
  • the processor is further configured to determine the optical signal according to the intensity of the optical signal received by each pixel of the second type and the intensity of the optical signal received by the neighboring pixels of the at least one first type. Relative light intensity of each second-type pixel point; determining whether the target is a real finger according to the relative light intensity and relative light intensity range of each second-type pixel point.
  • the processor is specifically configured to determine at least one ratio between the intensity of the optical signal received by each second-type pixel point and the intensity of the optical signal received by the neighboring at least one first-type pixel point, and determine Is the relative light intensity of each pixel of the second type.
  • the processor is further configured to: determine a number of the second type of pixels whose relative light intensity is within the relative light intensity range; and determine whether the target is a real finger according to the number.
  • the processor is further configured to: if the number is greater than or equal to a specific number threshold, or a ratio of the number to a total number of pixels of the second type is greater than or equal to a specific ratio threshold, determine the The target is a real finger; or if the number is less than the specific number threshold, or the ratio of the number to the total number of pixels of the second type is less than the specific ratio threshold, it is determined that the target is a fake finger.
  • the processor is further configured to determine the specific proportion threshold or the specific number threshold according to a security level of the operation that triggers fingerprint recognition and a first correspondence relationship, where the first correspondence relationship is security Correspondence between levels and proportion thresholds or specific number thresholds.
  • the first security level corresponds to a first proportional threshold or a first number threshold
  • the second security level corresponds to a second proportional threshold or a second number threshold, where the first security The level is higher than the second security level, the first proportional threshold is greater than the second proportional threshold, and the first number threshold is greater than the second number threshold.
  • the processor is further configured to determine the relative light intensity range according to a security level of the operation that triggers fingerprint recognition and a second correspondence relationship, wherein the second correspondence relationship is a security level and a relative light intensity Correspondence of ranges.
  • the first security level corresponds to a first light intensity range
  • the second security level corresponds to a second light intensity range, wherein the first security level is higher than the second security level.
  • Grade the difference between the upper and lower limits of the first light intensity range is smaller than the difference between the upper and lower limits of the second light intensity range.
  • the processor is further configured to determine the relative light intensity range according to a finger position from which the light signal received by the second type of pixel point comes, where the fingerprint ⁇ and the fingerprint ⁇ respectively correspond to different relative light Strong range.
  • the processor is further configured to determine the relative light according to the intensity of a light signal from a real finger collected multiple times by the plurality of first-type pixels and the at least one second-type pixel. Strong range.
  • the processor is further configured to determine that the fingerprint authentication succeeds when the fingerprint information of the target matches the fingerprint information of the target that is pre-stored, and the target is a real finger.
  • the fingerprint recognition device further includes: an optical component disposed above the pixel array, for guiding an optical signal reflected from a surface of the target to the pixel array.
  • the optical component includes a filter layer and a light guide layer, wherein the filter layer is used to filter out ambient light entering the pixel array, and the light guide layer is used to remove the light from the target.
  • the light signal reflected from the surface is guided to the pixel array.
  • the light guiding layer includes at least one of the following: a lens, a collimator, and a small hole.
  • the at least one second-type pixel is arranged at a center position of the pixel array in a cross shape, a rectangle, or a m-shape.
  • a fingerprint recognition method is provided, which is applied to a fingerprint recognition device including an optical sensor, wherein a pixel array included in the optical sensor includes a plurality of pixels of a first type and at least one pixel of a second type And a color filter layer or a polarizer is disposed above the at least one second-type pixel, the method includes: obtaining the plurality of first-type pixels and the at least one second-type pixel received The optical signal from the target; determining the intensity of the optical signal received by each second-type pixel point and the intensity of the optical signal received by at least one first-type pixel point adjacent to each second-type pixel point Whether the target is a real finger.
  • the determining is based on the intensity of the optical signal received by each second-type pixel and the intensity of the optical signal received by at least one first-type pixel adjacent to each second-type pixel.
  • Whether the target is a real finger includes: determining each of the first and second pixels according to an intensity of an optical signal received by each of the second-type pixels and an intensity of an optical signal received by the neighboring at least one first-type pixel The relative light intensity of the second type of pixel point; according to the relative light intensity and the relative light intensity range of each second type of pixel point, determine whether the target is a real finger.
  • the relative light intensity of the dots includes: determining at least one ratio between the intensity of the optical signal received by each second-type pixel point and the intensity of the optical signal received by the adjacent at least one first-type pixel point as the each Relative light intensity of two pixels of the second type.
  • determining whether the target is a real finger according to the relative light intensity and the relative light intensity range of each second-type pixel includes determining a relative light intensity within the relative light intensity range. The number of pixels of the second type; determining whether the target is a real finger according to the number.
  • determining whether the target is a real finger according to the number includes:
  • the target is a real finger
  • the target is a fake finger.
  • the method further includes: determining the specific proportion threshold or the specific number threshold according to a security level of the operation that triggers fingerprint recognition and a first correspondence relationship, wherein the first correspondence relationship is a security level and Correspondence between a proportional threshold or a specific number threshold.
  • the first security level corresponds to a first proportional threshold or a first number threshold
  • the second security level corresponds to a second proportional threshold or a second number threshold, where the first security The level is higher than the second security level, the first proportional threshold is greater than the second proportional threshold, and the first number threshold is greater than the second number threshold.
  • the method further includes: determining the relative light intensity range according to a security level of the operation that triggers fingerprint recognition and a second correspondence relationship, wherein the second correspondence relationship is a security level and a relative light intensity range. Correspondence.
  • the first security level corresponds to a first light intensity range
  • the second security level corresponds to a second light intensity range, wherein the first security level is higher than the second security level.
  • Grade the difference between the upper and lower limits of the first light intensity range is smaller than the difference between the upper and lower limits of the second light intensity range.
  • the light signals received by the second type of pixel point and the neighboring first type pixel points are all from the fingerprint ⁇ or both are from the fingerprint ⁇ .
  • the method further comprises: determining the relative light intensity range according to a finger position from which the optical signal received by the second type of pixel point comes, wherein the fingerprint ⁇ and the fingerprint ⁇ respectively correspond to different relative light intensity ranges .
  • the method further comprises: determining the relative light intensity range according to the intensity of the light signal from a real finger collected multiple times by the plurality of first-type pixels and the at least one second-type pixel. .
  • the method further includes determining that the fingerprint authentication is successful when the fingerprint information of the target matches the fingerprint information of the target that is pre-stored, and the target is a real finger.
  • a chip includes an input-output interface, at least one processor, at least one memory, and a bus.
  • the at least one memory is used to store instructions, and the at least one processor is used to call the at least one memory. Instructions to perform the method in the second aspect or any possible implementation of the second aspect.
  • a terminal device which includes the fingerprint identification device as in the first aspect or any possible implementation manner of the first aspect.
  • the terminal device further includes a display screen disposed above the fingerprint recognition device.
  • a terminal device including a fingerprint recognition device and a processor.
  • the processor and the fingerprint identification device communicate with each other through an internal connection path, and transfer control and / or data signals, so that the terminal device executes the second aspect or any possible implementation manner of the second aspect. method.
  • a computer-readable medium for storing a computer program, where the computer program includes instructions for executing the foregoing second aspect or any possible implementation manner of the second aspect.
  • a computer program product including instructions is provided.
  • the computer runs the fingers of the computer program product, the computer executes the second aspect or any possible implementation manner of the second aspect.
  • Method of fingerprint identification is provided.
  • the computer program product can be run on the terminal device of the fifth aspect.
  • the intensity of the optical signal is detected by the second-type pixels and the first-type pixels, wherein the second-type pixels are detected
  • the intensity of the optical signal is lower than the intensity of the optical signal detected by adjacent first-type pixels. Because the intensity difference is different for different materials, the optical signals detected by the second-type pixels and the first-type pixels are different. The intensity difference can determine the authenticity of the fingerprint, which can further improve the security of fingerprint recognition.
  • FIG. 1 is a schematic structural diagram of a terminal device applicable to an embodiment of the present application.
  • FIG. 2 is a schematic structural diagram of a fingerprint recognition device according to an embodiment of the present application.
  • FIG. 3 is a cross-sectional view of a fingerprint recognition device according to an embodiment of the present application.
  • FIG. 4 is a schematic flowchart of a fingerprint recognition method according to an embodiment of the present application.
  • FIG. 5 is a schematic flowchart of a fingerprint entry process according to another embodiment of the present application.
  • FIG. 6 is an overall flowchart of a fingerprint recognition method according to 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 optical fingerprint systems, including but not limited to optical fingerprint recognition systems and medical diagnostic products based on optical fingerprint imaging.
  • the embodiments of this application only use the optical fingerprint system as an example, but should not The embodiments of the application constitute any limitation, and the embodiments of the present application are also applicable to other systems using optical imaging technology.
  • the optical fingerprint system provided in the embodiments of the present application can be applied to smart phones, tablet computers, and other mobile terminals with display screens or other terminal devices. More specifically, in the above terminal devices, fingerprint identification The device may be specifically an optical fingerprint device, which may be disposed in a partial area or the entire area below the display screen, thereby forming an under-display optical fingerprint system.
  • FIG. 1 is a schematic structural diagram of a terminal device applicable to the embodiment of the present application.
  • the terminal device 10 includes a display screen 120 and an optical fingerprint device 130.
  • the optical fingerprint device 130 is disposed below the display screen 120. Local area.
  • the optical fingerprint device 130 includes a sensing array having a plurality of optical sensing units, and a region where the sensing array is located is a fingerprint detection area 103 of the optical fingerprint device 130.
  • the fingerprint detection area 103 is located in the display area of the display screen 120. Therefore, when the user needs to unlock the terminal device or perform other fingerprint verification, he only needs to press his finger on the The fingerprint detection area 103 located on the display screen 120 can realize fingerprint input.
  • the terminal device 10 Since fingerprint detection can be implemented in the screen, the terminal device 10 adopting the above structure does not need a special reserved space on the front side to set fingerprint keys (such as the Home key), so that a full-screen solution, that is, a display area of the display screen 120 It can be basically extended to the front of the entire terminal device 10.
  • fingerprint keys such as the Home key
  • the optical fingerprint device 130 includes a light detection portion 134 and an optical component 132.
  • the light detection portion 134 includes the sensing array and is electrically connected to the sensing array.
  • the connected reading circuit and other auxiliary circuits can be fabricated on a chip through a semiconductor process.
  • the sensing array is specifically a photodetector array, which includes a plurality of light detections arranged in an array.
  • the light detector may be used as the optical sensing unit as described above; the optical component 132 may be disposed above the sensing array of the light detecting portion 134, and may specifically include a filter layer, a light guide Layer and other optical elements, the filter layer can be used to filter ambient light penetrating the finger, and the light guide layer is mainly used to guide the reflected light reflected from the finger surface to the sensing array for optical detection .
  • the optical component 132 and the light detection portion 134 can be packaged in the same optical fingerprint module.
  • the light guide layer may be a collimator layer or a lens layer made of a semiconductor silicon wafer.
  • the light guide layer may include a plurality of collimation units or lens units.
  • the collimation unit may be specifically It is a small hole.
  • the reflected light reflected from the finger the light incident on the collimation unit perpendicularly can pass through and be received by the optical sensing unit below it, and the oblique incident light passes through the inside of the collimation unit.
  • the secondary reflection is attenuated, so each optical sensing unit can basically 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 collimation unit or lens unit may correspond to one of the optical sensing units of the sensing array; alternatively, the collimator unit or the lens unit is in line with the sensing array.
  • Non-one-to-one correspondence can also be adopted between the optical sensing units to reduce the occurrence of moiré interference.
  • an optical sensing unit can correspond to multiple collimation units or lens units, or the collimation units or lens units also have The irregular arrangement can be adopted; the collimation unit or lens unit which adopts the irregular arrangement can correct the reflected light detected by each sensing unit through a later software algorithm.
  • the display screen 120 may be a display screen with a self-emitting display unit, such as an organic light-emitting diode (OLED) display or a micro-LED display. Screen.
  • the optical fingerprint device 130 may use a display unit (ie, an OLED light source) of the OLED display 120 located in the fingerprint detection area 103 as an excitation light source for optical fingerprint detection.
  • the display screen 120 emits a beam of light 111 to the target finger 140 above the fingerprint detection area 103, and the light 111 is reflected on the surface of the finger 140 to form reflected light.
  • the reflected light 151 from fingerprint ⁇ and the occurrence 152 from fingerprint ⁇ have different light intensities.
  • the reflected light passes through the optical component 132, Received by the induction array 134 in the optical fingerprint device 130 and converted into corresponding electrical signals, that is, fingerprint detection signals; based on the fingerprint detection signals, fingerprint image data can be obtained, and fingerprint matching verification can be further performed, so that The terminal device 10 implements an optical fingerprint recognition function.
  • the display screen 120 may also be a non-self-luminous display screen, such as a backlit liquid crystal display screen; in this case, the optical detection device 130 cannot use the display screen 120
  • the display unit is used as an excitation light source. Therefore, it is necessary to integrate an excitation light source inside the optical detection device 130 or to set an excitation light source externally to implement optical fingerprint detection.
  • the detection principle is consistent with the content described above.
  • the terminal device 10 further includes a transparent protective cover, which may be a glass cover or a sapphire cover, which is located above the display screen 120 and covers the terminal.
  • a transparent protective cover which may be a glass cover or a sapphire cover, which is located above the display screen 120 and covers the terminal.
  • the front of the device 10. because, in the embodiment of the present application, the so-called finger pressing on the display screen 120 actually means pressing a cover plate above the display screen 120 or a surface of a protective layer covering the cover plate.
  • biometric recognition in addition to fingerprint recognition, the technical solutions of the embodiments of the present application may also perform other biometric recognition, such as palm print recognition or vein recognition, which is not limited in the embodiments of the present application.
  • optical fingerprint device in the embodiments of the present application may also be referred to as an optical fingerprint identification module, a fingerprint identification device, a fingerprint identification module, a fingerprint module, a fingerprint collection device, and the like, and the above terms may be replaced with each other.
  • the reflection performance of human skin tissue on light at a specific wavelength is significantly different from artificial materials such as silica gel, paper, and tape.
  • an embodiment of the present application provides a fingerprint recognition scheme.
  • a certain number of characteristic pixel points are set in a pixel array of a fingerprint recognition device.
  • the intensity of the optical signal detected by the characteristic pixel points is lower than that of neighboring pixels.
  • the intensity of the optical signal detected by the ordinary pixel point is detected by the characteristic pixel point and the ordinary pixel point. Because the intensity difference is different for different materials, the optical signal detected by the characteristic pixel point and the ordinary pixel point can be used.
  • the difference in intensity determines whether the fingerprint is true or false, that is, whether the fingerprint comes from a living finger, that is, the fingerprint recognition scheme in the embodiment of the present application can be used for living body detection.
  • FIG. 2 is a schematic structural diagram of a fingerprint identification device 20 according to an embodiment of the present application.
  • the fingerprint identification device 20 includes: an optical sensor 200 and a processor 220.
  • the optical sensor 200 includes a pixel array 210.
  • the pixel array 210 includes a plurality of first-type pixel points 211 and at least one second-type pixel point 212. A color is provided above the at least one second-type pixel point. Filter layer or polarizer 221.
  • the optical sensor 200 may be a light detecting portion 134 in FIG. 1, or a fingerprint sensor.
  • the fingerprint identification device 200 may further include an optical component 230, and the optical component 230 may correspond to the optical component 132 in FIG. 1.
  • the first type of pixels in the embodiments of the present application may be referred to as ordinary pixels, and the setting manner may be the same as that of the pixels in the existing pixel array, and the second type of pixels may be referred to as features Pixels are used to determine the authenticity of fingerprints.
  • the second type of pixel is set differently from existing pixel settings.
  • a color filter layer or a polarizer is placed on top of the second type of pixels to reduce access to the characteristic pixels. Material or structure of the light signal strength.
  • first-type pixel points 211 and the second-type pixel points 212 in FIG. 2 are merely examples, and should not be construed as limiting the embodiments of the present application. Needs are adjusted.
  • the second type of pixel point 212 may be arranged at the center of the pixel array 210 in a cross shape, a rectangle, or a m-shape.
  • the color filter layer 221 can play a role of filtering light signals, and it only allows light signals in a specific wavelength range to pass through.
  • the color filter layer 221 can be a green filter material. Only green light band light signals are allowed to pass. In this way, after the light signal passes through the color filter layer 221, the light signal band is narrowed, and the overall light intensity is reduced, that is, the light signal entering the second type of pixel point Reduced strength.
  • the polarizing plate can be used to change the polarization direction of the optical signal, so it can also serve the purpose of reducing the intensity of the optical signal entering the second type of pixel.
  • a color filter layer 221 is provided above the second type of pixel point 212 as an example for description, but it should not be construed as any limitation in the embodiment of the present application.
  • the wavelength band of the emitted light of the light source used for fingerprint detection needs to include the band of the color filter material, and at least some other bands other than this band range, that is, the color
  • the waveband of the filter material includes only a part of the waveband of the emitted light.
  • the color filter material can be a green filter material that allows only the green light band to pass, or it can be a blue filter material that allows only the blue light band to pass, or it can also It is a cyan filter material, allowing green and blue light bands to pass at the same time, as long as the color filter material can filter out light signals in some bands, while allowing light signals in other bands to pass, this embodiment does not do this. limited.
  • the light source for fingerprint detection may be a self-luminous source from a display screen, or may be an excitation light source or other external excitation light source integrated in the fingerprint identification device.
  • the embodiment does not limit this.
  • a light-transmitting material 222 may be provided above the first type of pixel point 211, so that the intensity of the optical signal entering the first type of pixel point 211 is not affected, or the effect is small.
  • the first type of pixel point 211 may not be provided with a light-transmitting material, that is, the first type of pixel point and the optical component 230 above it may be air.
  • the light signal reflected from the target surface passes through the light-transmitting material 222 and the color filter layer 221, it reaches the first-type pixel point 211 and the second-type pixel point 212, respectively, because the light-transmitting material 222 and the color filter
  • the optical properties of the light layer 221 are different, so that the intensity of the reflected light detected by the second-type pixel point 212 and the adjacent first-type pixel point 211 has a certain difference.
  • the difference in intensity is obviously different. Therefore, based on the difference in intensity, it can be determined whether the fingerprint image collected by the fingerprint recognition device comes from a real finger.
  • the first type pixel point 211 adjacent to the second type pixel point 212 may include a first type pixel located above, below, left or right of the second type pixel point 212. At least one of the points 211, or the second type of pixel point 212 may be used as the center and a circle is drawn with a specific radius, and the first type of pixel point 211 within the circle is determined to be adjacent to the second type of pixel point 212
  • the first type of pixels, or the adjacent first type of pixels may also be determined in other ways, which is not limited in this embodiment of the present application.
  • the pixels of the second type and the pixels of the first type adjacent to the pixels of the second type are pixels of the same type.
  • the pixels of the same type may refer to the pixels of the second type and the adjacent pixels.
  • the light signals received by a class of pixels are all from the fingerprint ⁇ or are all from the fingerprint ⁇ , that is, the types of fingerprint positions from which the light signals received are from the same.
  • the main difference between this second type of pixel and the adjacent first type of pixel is the difference in the filter material provided above it, that is, a color filter layer or a polarizer is provided above the second type of pixel
  • the first type of pixel is provided with a light-transmitting material or no material, and the other characteristics are basically the same.
  • the collected light signals come from the fingerprint ⁇ or all from the fingerprint ⁇ , in the pixel array Are located close to each other, it can be considered that the environment they are in is the same or similar. In other words, the environmental factors have the same or similar effects on the collected light signals. Then, calculate the intensity of the light signal received by the second type of pixel and its proximity.
  • the ratio of the intensity of the light signal received by the first type of pixel can eliminate the influence of environmental factors to a certain extent. In this way, the ratio of eliminating the influence of environmental factors can significantly reflect the optical characteristics of the material of the target object. Further, according to The ratio determines whether the target object is a real finger, which can improve the accuracy of living body detection.
  • the fingerprint information of the target object may be determined without using the sampling value of the second type of pixel point.
  • the sampling value of the position of the second type of pixel point may be determined by The sampling value of the pixels of the similar type is determined. For example, interpolation or fitting processing is performed on the sampling values of adjacent pixels of the first type to obtain the sampling values of the pixels of the second type.
  • the sampling value of the second type of pixels can also be used to determine the fingerprint information of the target object. Due to the principle of optical imaging, the pixel at the center position of the fingerprint detection area usually enters the saturation area earlier. By setting the second type of pixel point at the center position of the pixel array, it can be beneficial to prevent the sample value at the center position from entering the saturation region too early, thereby improving the sample value of the pixel point in the center region.
  • the processor 220 is specifically configured to:
  • the relative light intensity of the pixels of the second type may be a ratio of the intensity of the light signal received by the pixels of the second type and a neighboring pixel of the first type, or the pixels of the second type may also be determined. Multiple ratios of the points to adjacent multiple first-type pixel points, and the relative light intensity of the second-type pixel points is determined according to the multiple ratios, for example, the maximum, minimum, or average of the multiple ratios may be The value is determined as the relative intensity of the second pixel.
  • the second type of pixel is P2, and the intensity of the detected light signal is S2.
  • the first type of pixels adjacent to the second type of pixel include P11, P12, and P13.
  • the intensity of the detected light signal is S11, S12, and S13
  • the relative intensity of the P2 can be any one of S2 / S11, S2 / S12, and S2 / S13; or the relative intensity of the P2 can also be the maximum value of S2 / S11, S2 / S12, and S2 / S13 , Minimum, or average.
  • a maximum value, a minimum value, or an average value of the intensity of the optical signals received by a plurality of first-type pixels adjacent to the second-type pixels may be determined first, and then the second-type pixels are received.
  • the ratio of the maximum, minimum, or average of the intensity of the optical signal to the intensity of the optical signals received by the neighboring pixels of the first type is determined as the relative intensity of the pixels of the second type.
  • the relative intensity RS of the second type of pixel P2 can be S2 / max (S11 + S12 + S13), S2 / min (S11 + S12 + S13), or S2 / avg (S11 + S12 + S13) , Where max, min, and avg represent taking the maximum, taking the minimum, and taking the average, respectively.
  • the above method of determining the relative light intensity of the second type of pixels is merely an example, and the processor may also determine the relative light intensity of the second type of pixels according to other formulas, as long as it can reflect the second type of pixels
  • the difference between the intensity of the optical signal collected from the adjacent first-type pixels of the same type is sufficient, and is not specifically limited in this embodiment of the present application.
  • the relative light intensity of the pixels of the second type can be used to characterize the degree of reduction (or weakening) of the light intensity of the light signals received by the pixels of the second type relative to the neighboring pixels of the first type.
  • the degree of reduction is obviously different, that is, the real finger corresponds to a specific range of relative light intensity.
  • the relative light intensity of the second type of pixel is not in the relative light intensity range. Therefore, according to whether the relative light intensity of the second type of pixel point is within the relative light intensity range, it can be determined whether the target is a real finger.
  • the processor may determine the number (or matching number) of the second type of pixels whose relative light intensity is within the relative light intensity range, and further, determine whether the target is based on the number For real fingers. For example, the processor may determine that the target is a real finger when the number is greater than a certain number threshold, otherwise, determine that the target is a fake finger; or the processor may also account for the total number of pixels of the second type in the number. When the ratio of the quantity (or matching ratio) is greater than or equal to a specific ratio threshold, the target is determined to be a real finger, otherwise, the target is determined to be a fake finger.
  • the security level of the operation that triggers fingerprint recognition may be set.
  • the unlock operation of the terminal device may be set to a low security level
  • the payment operation may be set to a high security level.
  • it may be Setting different specific number thresholds or specific ratio thresholds for different security levels can determine the first correspondence between the security level and the specific number thresholds or specific ratio thresholds. Therefore, the processor can determine the security level of the operation that triggers fingerprint recognition. With reference to the first correspondence relationship, the specific number threshold or the specific ratio threshold is determined.
  • the first quantity threshold can be set to be greater than the second quantity threshold and the first proportional threshold. Greater than the second proportional threshold.
  • FRR False Rejection Rate
  • different security levels may be set to correspond to different relative light intensity ranges, that is, a second correspondence relationship between the security level and the relative light intensity range may be determined.
  • a relative level corresponding to a low security level may be set.
  • the light intensity range is wider than the relative light intensity range corresponding to the high security level.
  • the upper limit of the first light intensity range may be set smaller than the upper limit of the second light intensity range, and / or the The lower limit of the first light intensity range is greater than the lower limit of the second light intensity range.
  • the corresponding relative light intensity range may be configured respectively for whether the optical signal comes from the fingerprint ⁇ or the fingerprint , so that the processor may The light signal received by the second type of pixel comes from the fingerprint ⁇ or the fingerprint ⁇ , and it is determined which range of relative light intensity determines whether the fingerprint is true or false.
  • the relative light intensity range in the embodiments of the present application may be obtained by collecting a large number of fingerprint samples of real fingers for training, which will be described in detail in the subsequent method embodiments.
  • the processor may determine that the fingerprint authentication is successful if the fingerprint information of the target collected by the fingerprint recognition device matches the fingerprint template of the registered target and the target is a real finger. Further, an operation that triggers the fingerprint identification may be performed, for example, operations such as performing terminal unlocking or payment.
  • the optical signals 251, 255, and 253 emitted by the display 250 reach the fingerprint ⁇ 241 and the fingerprint ⁇ 242, respectively, and form Reflected light 252, 256, and 254, where the reflected light 252 and 256 come from the reflection of the fingerprint ⁇ 241, and the reflected light 254 comes from the reflection of the fingerprint ⁇ 242.
  • the optical signal has a strong reflection on the fingerprint ⁇ , so the intensity of the reflected optical signal is large, and the reflection on the fingerprint ⁇ is weak, so the intensity of the reflected optical signal is small.
  • the reflected light 254 and 256 are After receiving a type of pixel 211, a fingerprint image with light and dark contrast can be obtained.
  • the signal intensity decreases relative to the reflected light 256.
  • the intensity of the reflected light 252 received by the second type of pixel 212 and the intensity of the reflected light 256 received by the first type of pixel 211 can be determined
  • the ratio will fluctuate within a specific light intensity range.
  • the ratio is not within the above light intensity range. Therefore, according to whether the ratio is within the light intensity range, it can be determined whether the target 240 is a real finger. For example, if the light intensity range is [0.65,0.75], if the determined relative light intensities of the plurality of second-type pixel points are all around 0.5, the target 240 may be considered as a fake finger.
  • the fingerprint identification device 20 may further include a driving module and a signal reading module, and the driving module and the signal reading module may be connected to the pixel array 210 through an internal wiring, wherein the driving The module is used to control the progressive scanning of the pixel array 210, and the signal reading module may be used to process the signals detected by the pixel array 210, such as performing amplification and analog-to-digital converter (ADC), The processed signal is further sent to the processor 220.
  • the signal reading module and the processor 220 may be connected through a flexible printed circuit (FPC).
  • the device embodiments of the present application are described in detail above with reference to FIGS. 2 to 3.
  • the method embodiments of the present application are described in detail below with reference to FIGS. 4 to 6. It should be understood that the method embodiments and the device embodiments correspond to each other, similarly. For the description, please refer to the device embodiment.
  • FIG. 4 is a schematic flowchart of a fingerprint identification method according to an embodiment of the present application. It should be understood that the method 400 may be applied to the fingerprint identification device 20 shown in FIG. 2. Specifically, the method 400 may be identified by the fingerprint. The processor in the device executes the method. As shown in FIG. 4, the method 400 includes:
  • S402. Determine whether the target is an intensity of an optical signal received by each second-type pixel and an intensity of an optical signal received by at least one first-type pixel adjacent to each second-type pixel. Real fingers.
  • S402 may specifically include:
  • the determining is performed according to an intensity of an optical signal received by each second-type pixel point and an intensity of an optical signal received by a neighboring at least one first-type pixel point.
  • the relative light intensity of each type of pixel including:
  • the determining whether the target is a real finger according to the relative light intensity and the relative light intensity range of each second-type pixel includes:
  • the target is a real finger.
  • the determining whether the target is a real finger according to the quantity includes:
  • the target is a real finger
  • the target is a fake finger.
  • the method 400 further includes:
  • the specific proportion threshold or the specific number threshold is determined according to the security level and the first correspondence of the operation that triggers fingerprint recognition, wherein the first correspondence is a correspondence between the security level and the proportion threshold or the specific number threshold.
  • the first security level corresponds to a first proportional threshold or a first number threshold
  • the second security level corresponds to a second proportional threshold or a second number threshold, where the first security The level is higher than the second security level, the first proportional threshold is greater than the second proportional threshold, and the first number threshold is greater than the second number threshold.
  • the method further includes:
  • the relative light intensity range is determined according to a security level of the operation that triggers fingerprint recognition and a second correspondence relationship, wherein the second correspondence relationship is a correspondence relationship between the security level and the relative light intensity range.
  • the first security level corresponds to a first light intensity range
  • the second security level corresponds to a second light intensity range, wherein the first security level is higher than the second security level.
  • Grade the difference between the upper and lower limits of the first light intensity range is smaller than the difference between the upper and lower limits of the second light intensity range.
  • the method 400 further includes:
  • the relative light intensity range is determined according to the position of the finger from which the light signal received by the second type of pixel point comes, where the position of the finger includes a fingerprint ⁇ and a fingerprint ⁇ , respectively corresponding to different intensity ranges.
  • the method 400 further includes:
  • the determination process of the relative light intensity range can be implemented in the fingerprint entry process. As shown in FIG. 5, the following steps may be specifically included:
  • S301 Collect light signals reflected from a user's finger multiple times through ordinary pixels and characteristic pixels in a pixel array of a fingerprint recognition device.
  • the light signals collected by the ordinary pixels can be used to determine the user's fingerprint information. It is also possible to determine multiple ratios of the intensity of the light signal collected by each of the characteristic pixel points and the neighboring ordinary pixel points, and the multiple ratio values can be used to determine the relative light intensity range described above.
  • the relative light intensity ranges corresponding to the two cases can be determined.
  • fingerprints can be collected from a large number of real fingers through ordinary pixels and characteristic pixels in the pixel array of the fingerprint identification device to determine the relative light intensity range.
  • the large number of real fingers can come from The same user, or from multiple different users.
  • the relative light intensity range may be determined according to the multiple ratios obtained in S301.
  • the multiple ratios may be machine-learned, or the sample data of the multiple ratios may be trained through a convolutional neural network to determine the relative light intensity range.
  • the subsequent fingerprint authentication i.e., fingerprint identification
  • the subsequent fingerprint authentication process will be described with reference to FIG. 6. It can include the following steps:
  • the application scenario may include a terminal unlocking scenario, a payment scenario, and the like.
  • Different application scenarios may correspond to different security levels, and different fingerprint recognition algorithms correspond to different security levels.
  • different security levels may correspond to different relative light levels.
  • the strong range, the number of matching thresholds, or the matching ratio threshold can be referred to the related description of the foregoing embodiments for specific implementation.
  • the fingerprint recognition device detects a fingerprint image of a target above the fingerprint recognition area.
  • the ratio of the intensity of the light signal received by each characteristic pixel point to the adjacent ordinary pixel points of the same type is calculated, that is, the relative light intensity of the second type of pixel points described above.
  • the fingerprint recognition device may determine that the fingerprint authentication succeeds when the fingerprint information of the target matches the fingerprint information of the target that is pre-stored, and the target is a real finger. Improve the security of fingerprint recognition.
  • the above fingerprint recognition process is only an example.
  • the size of the sequence numbers of the above processes does not mean the order of execution.
  • the execution order of each process should be determined by its function and internal logic.
  • the implementation process constitutes any limitation.
  • an embodiment of the present application further provides a terminal device 700.
  • the terminal device 700 may include a fingerprint identification device 710.
  • the fingerprint identification device 710 may be the fingerprint identification device 20 in the foregoing device embodiment. It can be used to execute the content in the method embodiments in FIG. 4 to FIG. 6.
  • the processor in the embodiment of the present application may be an integrated circuit chip and has a signal processing capability.
  • each step of the foregoing method embodiment may be completed by using 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), an off-the-shelf programmable gate array (Field, Programmable Gate Array, FPGA), or other Programming logic devices, discrete gate or transistor logic devices, discrete hardware components.
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • FPGA off-the-shelf programmable gate array
  • Various methods, steps, and logical block diagrams disclosed in the embodiments of the present application can be implemented or executed.
  • a general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
  • the steps of the method disclosed in combination with the embodiments of the present application may be directly implemented by a hardware decoding processor, or may be performed by using a combination of hardware and software modules in the decoding processor.
  • the software module may be located in a mature storage medium such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, and the like.
  • the storage medium is located in a memory, and the processor reads the information in the memory and completes the steps of the foregoing method in combination with its hardware.
  • the fingerprint identification in the embodiment of the present application may further include a memory
  • the memory 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 (EPROM), and an electronic memory. Erase programmable read-only memory (EPROM, EEPROM) or flash memory.
  • the volatile memory may be Random Access Memory (RAM), which is used as an external cache.
  • RAM Static Random Access Memory
  • DRAM Dynamic Random Access Memory
  • Synchronous Dynamic Random Access Memory Synchronous Dynamic Random Access Memory
  • SDRAM double data rate synchronous dynamic random access memory
  • Double SDRAM, DDR SDRAM enhanced synchronous dynamic random access memory
  • Enhanced SDRAM, ESDRAM synchronous connection dynamic random access memory
  • Synchronous DRAM Synchronous Dynamic Random Access Memory
  • Enhanced SDRAM Enhanced SDRAM, ESDRAM
  • synchronous connection dynamic random access memory Synchrobus RAM, SLDRAM
  • Direct Rambus RAM Direct Rambus RAM
  • An embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium stores one or more programs, the one or more programs include instructions, and the instructions should be a portable electronic device including multiple application programs When executed, the portable electronic device can be caused to execute the method in the embodiment shown in FIG. 4 to FIG. 6.
  • the embodiment of the present application also proposes a computer program.
  • the computer program includes instructions.
  • the computer program can execute the methods in the embodiments shown in FIG. 4 to FIG. 6.
  • An embodiment of the present application further provides a chip.
  • the chip includes an input-output interface, at least one processor, at least one memory, and a bus.
  • the at least one memory is used to store instructions, and the at least one processor is used to call the at least one memory. To execute the method in the embodiment shown in FIG. 4 to FIG. 6.
  • the disclosed systems, devices, and methods may be implemented in other ways.
  • the device embodiments described above are only schematic.
  • the division of the unit is only a logical function division.
  • multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not implemented.
  • the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, which may be electrical, mechanical or other forms.
  • 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, may be located in one place, or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objective of the solution of this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each of the units may exist separately physically, or two or more units may be integrated into one unit.
  • the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.
  • the technical solution of the present application is essentially a part that contributes to the existing technology or a part of the technical solution may be embodied in the form of a software product, where the computer software product is stored in a storage medium , Including a plurality of instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present application.
  • the aforementioned storage media include: U disks, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks or compact discs, and other media that can store program codes .

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Abstract

一种指纹识别装置、方法和终端设备，光学传感器，包括像素阵列，其中，所述像素阵列包括多个第一类像素点和至少一个第二类像素点，所述多个第一类像素点和所述至少一个第二类像素点用于接收来自目标的光信号；彩色滤光层或偏振片，用于设置在所述至少一个第二类像素点的上方；其中，所述至少一个第二类像素点接收的光信号的强度和其相邻的至少一个第一类像素点接收的光信号的强度用于确定所述目标是否为真实手指。

Description

指纹识别装置、方法和终端设备 技术领域
本申请涉及光学指纹技术领域，并且更具体地，涉及一种指纹识别装置、方法和终端设备。
背景技术
光学指纹识别装置的应用给用户带来了安全和便捷的用户体验，但是通过人工材料(例如，硅胶、白胶等)制造的指纹模具、打印的指纹图像等伪造的指纹是指纹应用中一个安全隐患。因此，如何识别光学指纹识别装置采集的指纹的真假，以提升指纹识别的安全性是一项亟需解决的问题。
发明内容
本申请实施例提供了一种指纹识别装置、方法和终端设备，能够识别指纹的真假，从而能够提升指纹识别的安全性。
第一方面，提供了一种指纹识别装置，包括：
光学传感器，包括像素阵列，其中，所述像素阵列包括多个第一类像素点和至少一个第二类像素点，所述多个第一类像素点和所述至少一个第二类像素点用于接收来自目标的光信号；
彩色滤光层或偏振片，设置于所述至少一个第二类像素点的上方；
处理器，用于根据每个第二类像素点接收的光信号的强度，以及与所述每个第二类像素点邻近的至少一个第一类像素点接收的光信号的强度，确定所述目标是否为真实手指。
可选地，所述彩色滤光层为彩色滤光材料，所述彩色滤光材料的波段范围只包括用于指纹识别的光信号的波段范围中的部分。
可选地，所述彩色滤光材料为绿色滤光材料、蓝色滤光材料或红色滤光材料。
可选地，所述第二类像素点和邻近的所述第一类像素点接收的光信号都来自指纹嵴或都来自指纹峪。
可选地，所述多个第一类像素点的上方设置有透光材料。
可选地，所述处理器还用于：根据所述每个第二类像素点接收的光信号 的强度与邻近的所述至少一个第一类像素点接收的光信号的强度，确定所述每个第二类像素点的相对光强；根据所述每个第二类像素点的相对光强和相对光强范围，确定所述目标是否为真实手指。
可选地，所述处理器具体用于：将每个第二类像素点接收的光信号的强度和邻近的所述至少一个第一类像素点接收的光信号的强度的至少一个比值，确定为所述每个第二类像素点的相对光强。
可选地，所述处理器还用于：确定相对光强在所述相对光强范围内的第二类像素点的数量；根据所述数量，确定所述目标是否为真实手指。
可选地，所述处理器还用于：若所述数量大于或等于特定数量阈值，或所述数量占所述第二类像素点的总数量的比例大于或等于特定比例阈值，确定所述目标为真实手指；或若所述数量小于所述特定数量阈值，或所述数量占所述第二类像素点的总数量的比例小于所述特定比例阈值，确定所述目标为假手指。
可选地，所述处理器还用于：根据触发指纹识别的操作的安全等级以及第一对应关系，确定所述特定比例阈值或所述特定数量阈值，其中，所述第一对应关系为安全等级和比例阈值或特定数量阈值的对应关系。
可选地，在所述第一对应关系中，第一安全等级对应第一比例阈值或第一数量阈值，第二安全等级对应第二比例阈值或第二数量阈值，其中，所述第一安全等级高于所述第二安全等级，所述第一比例阈值大于所述第二比例阈值，所述第一数量阈值大于所述第二数量阈值。
可选地，所述处理器还用于：根据触发指纹识别的操作的安全等级以及第二对应关系，确定所述相对光强范围，其中，所述第二对应关系为安全等级和相对光强范围的对应关系。
可选地，在所述第二对应关系中，第一安全等级对应第一光强范围，第二安全等级对应第二光强范围，其中，所述第一安全等级高于所述第二安全等级，所述第一光强范围的上下限的差值小于所述第二光强范围的上下限的差值。
可选地，所述处理器还用于：根据所述第二类像素点接收的光信号来自的手指位置，确定所述相对光强范围，其中，指纹嵴和指纹峪分别对应不同的相对光强范围。
可选地，所述处理器还用于：根据所述多个第一类像素点和所述至少一 个第二类像素点多次采集的来自真实手指的光信号的强度，确定所述相对光强范围。
可选地，所述处理器还用于：在所述目标的指纹信息与预存的所述目标的指纹信息匹配，并且，所述目标为真实手指的情况下，确定指纹认证成功。
可选地，所述指纹识别装置还包括：光学组件，设置于所述像素阵列的上方，用于将从所述目标的表面反射的光信号引导至所述像素阵列。
可选地，所述光学组件包括滤光层和导光层，其中，所述滤光层用于滤除进入所述像素阵列的环境光，所述导光层用于将从所述目标的表面反射的光信号引导至所述像素阵列。
可选地，所述导光层包括以下中至少一种：透镜、准直器，小孔。
可选地，所述至少一个第二类像素点呈十字型、矩形或米字形设置于所述像素阵列的中心位置。
第二方面，提供了一种指纹识别的方法，应用于包括光学传感器的指纹识别装置，其中，所述光学传感器包括的像素阵列中包括多个第一类像素点和至少一个第二类像素点，并且所述至少一个第二类像素点的上方设置有彩色滤光层或偏振片，所述方法包括：获取所述多个第一类像素点和所述至少一个第二类像素点接收的来自目标的光信号；根据每个第二类像素点接收的光信号的强度，以及与所述每个第二类像素点邻近的至少一个第一类像素点接收的光信号的强度，确定所述目标是否为真实手指。
可选地，所述根据每个第二类像素点接收的光信号的强度，以及与所述每个第二类像素点邻近的至少一个第一类像素点接收的光信号的强度，确定所述目标是否为真实手指，包括：根据所述每个第二类像素点接收的光信号的强度与邻近的所述至少一个第一类像素点接收的光信号的强度，确定所述每个第二类像素点的相对光强；根据所述每个第二类像素点的相对光强和相对光强范围，确定所述目标是否为真实手指。
可选地，所述根据所述每个第二类像素点接收的光信号的强度与邻近的所述至少一个第一类像素点接收的光信号的强度，确定所述每个第二类像素点的相对光强，包括：将每个第二类像素点接收的光信号的强度和邻近的所述至少一个第一类像素点接收的光信号的强度的至少一个比值，确定为所述每个第二类像素点的相对光强。
可选地，所述根据所述每个第二类像素点的相对光强和相对光强范围， 确定所述目标是否为真实手指，包括：确定相对光强在所述相对光强范围内的第二类像素点的数量；根据所述数量，确定所述目标是否为真实手指。
可选地，所述根据所述数量，确定所述目标是否为真实手指，包括：
若所述数量大于或等于特定数量阈值，或所述数量占所述第二类像素点的总数量的比例大于或等于特定比例阈值，确定所述目标为真实手指；或
若所述数量小于所述特定数量阈值，或所述数量占所述第二类像素点的总数量的比例小于所述特定比例阈值，确定所述目标为假手指。
可选地，所述方法还包括：根据触发指纹识别的操作的安全等级以及第一对应关系，确定所述特定比例阈值或所述特定数量阈值，其中，所述第一对应关系为安全等级和比例阈值或特定数量阈值的对应关系。
可选地，在所述第一对应关系中，第一安全等级对应第一比例阈值或第一数量阈值，第二安全等级对应第二比例阈值或第二数量阈值，其中，所述第一安全等级高于所述第二安全等级，所述第一比例阈值大于所述第二比例阈值，所述第一数量阈值大于所述第二数量阈值。
可选地，所述方法还包括：根据触发指纹识别的操作的安全等级以及第二对应关系，确定所述相对光强范围，其中，所述第二对应关系为安全等级和相对光强范围的对应关系。
可选地，在所述第二对应关系中，第一安全等级对应第一光强范围，第二安全等级对应第二光强范围，其中，所述第一安全等级高于所述第二安全等级，所述第一光强范围的上下限的差值小于所述第二光强范围的上下限的差值。
可选地，所述第二类像素点和邻近的所述第一类像素点接收的光信号都来自指纹嵴或都来自指纹峪。
可选地，所述方法还包括：根据所述第二类像素点接收的光信号来自的手指位置，确定所述相对光强范围，其中，指纹嵴和指纹峪分别对应不同的相对光强范围。
可选地，所述方法还包括：根据所述多个第一类像素点和所述至少一个第二类像素点多次采集的来自真实手指的光信号的强度，确定所述相对光强范围。
可选地，所述方法还包括：在所述目标的指纹信息与预存的所述目标的指纹信息匹配，并且，所述目标为真实手指的情况下，确定指纹认证成功。
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，以执行第二方面或第二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，包括如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装置。
可选地，所述终端设备还包括：显示屏，设置于所述指纹识别装置的上方。
第五方面，提供了一种终端设备，包括指纹识别装置和处理器。所述处理器和所述指纹识别装置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二方面或第二方面的任一可能的实现方式中的方法。
第六方面，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二方面或第二方面的任一可能的实现方式中的指令。
第七方面，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二方面或第二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五方面的终端设备上。
基于上述技术方案，通过在指纹识别装置的像素阵列中设置一定数量的第二类像素点，通过第二类像素点和第一类像素点检测光信号的强度，其中，第二类像素点检测的光信号的强度低于邻近的第一类像素点检测的光信号的强度，由于对于不同的材料，该强度差异不同，因此，根据第二类像素点和第一类像素点检测的光信号的强度差异，可以确定指纹的真假，进而能够提升指纹识别的安全性。
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图1是本申请实施例所适用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识别装置的示意性结构图。
图3是根据本申请实施例的指纹识别装置的剖面图。
图4是根据本申请一实施例的指纹识别的方法的示意性流程图。
图5是根据本申请另一实施例的指纹录入过程的示意性流程图。
图6是根据本申请实施例的指纹识别的方法的整体流程图。
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，指纹识别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10包括显示屏120和光学指纹装置130，其中，所述光学指纹装置130设置在所述显示屏120下方的局部区域。所述光学指纹装置130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130的指纹检测区域103。如图1所示，所述指纹检测区域103位于所述显示屏120的显示区域之中，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120的指纹检测区域103，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10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120的显示区域可以基本扩展到整个终端设备10的正面。
作为一种可选的实现方式，如图1所示，所述光学指纹装置130包括光检测部分134和光学组件132，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；所述光学组件132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132可以与所述光检测部分134封装在同一个光学指纹模组。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130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。
作为一种可选的实施例，所述显示屏120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130可以利用所述OLED显示屏120位于所述指纹检测区域103的显示单元(即OLED光源)来作为光学指纹检测的激励光源。当手指140按压在所述指纹检测区域103时，显示屏120向所述指纹检测区域103上方的目标手指140发出一束光111，该光111在手指140的表面发生反射形成反射光。由于指纹的嵴(ridge)与峪(vally)对于光的反射能力不同，因此，来自指纹嵴的反射光151和来自指纹峪的发生过152具有不同的光强，反射光经过光学组件132后，被光学指纹装置130中的感应阵列134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 10实现光学指纹识别功能。
在其他替代实现方式中，所述显示屏120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130便无法采用所述显示屏120的显示单元作为激励光源，因此需要在所述光学检测装置130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。
应当理解的是，在具体实现上，所述终端设备10还包括透明保护盖板，所述盖板可以为玻璃盖板或者蓝宝石盖板，其位于所述显示屏120的上方并覆盖所述终端设备10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120实际上是指按压在所述显示屏120上方的盖板或者覆盖所述盖板的保护层表面。
还应理解，本申请实施例的技术方案除了可以进行指纹识别外，还可以进行其他生物特征识别，例如，掌纹识别或静脉识别等，本申请实施例对此也不限定。
需要说明的是，本申请实施例中的光学指纹装置也可以称为光学指纹识别模组、指纹识别装置、指纹识别模组、指纹模组、指纹采集装置等，上述术语可相互替换。
应理解，受人体皮肤组织的皮层厚度、血红蛋白浓度、黑色素含量等因素的影响，人体皮肤组织对特定波长光线的反射性能与硅胶、纸张和胶带等人工材料具有显著差别。
基于此，本申请实施例提供了一种指纹识别方案，在指纹识别装置的像素阵列中设置一定数量的特征像素点，其中，对于同一光信号，特征像素点检测的光信号的强度低于邻近的普通像素点检测的光信号的强度，通过特征像素点和普通像素点检测光信号的强度，由于对于不同的材料，该强度差异不同，因此可以根据特征像素点和普通像素点检测的光信号的强度差异，确定指纹的真假，即该指纹是否来自活体手指，也就是说，本申请实施例的指纹识别方案可以用于活体检测。
以下，结合图2至图3，详细介绍本申请实施例的指纹识别装置。
需要说明的是，为便于理解，在以下示出的实施例中，相同的结构采用相同的附图标记，并且为了简洁，省略对相同结构的详细说明。
应理解，在以下所示出的本申请实施例中的各种结构件的尺寸、高度或 厚度等仅为示例性说明，而不应对本申请构成任何限定。
图2是本申请实施例提供的一种指纹识别装置20的示意性结构图，该指纹识别装置20包括：光学传感器200和处理器220。其中，该光学传感器200包括像素阵列210，该像素阵列210中包括多个第一类像素点211和至少一个第二类像素点212，并且，该至少一个第二类像素点的上方设置有彩色滤光层或偏振片221。
应理解，在本申请实施例中，该光学传感器200可以为图1中的光检测部分134，或称指纹传感器(sensor)。
可选地，在本申请实施例中，该指纹识别装置200还可以包括光学组件230，该光学组件230可以对应于图1中的光学组件132。
应理解，本申请实施例中的第一类像素点可以称为普通像素点，其设置方式可以与现有的像素阵列中的像素点的设置方式相同，该第二类像素点可以称为特征像素点，用于确定指纹的真假，该第二类像素点的设置方式与现有的像素点的设置方式不同，其上方设置有彩色滤光层或偏振片等能够降低进入该特征像素点的光信号强度的材料或结构。
需要说明的是，图2中的第一类像素点211和第二类像素点212的位置、数量和分布情况仅为示例，而不应对本申请实施例构成任何限定，本申请也可根据实际需求进行调整。
在一些可选的设置方式中，该第二类像素点212可以呈十字型、矩形或米字形设置于该像素阵列210的中心位置。
在本申请实施例中，该彩色滤光层221可以起到滤除光信号的作用，其只允许特定波长范围内的光信号通过，例如，该彩色滤光层221可以为绿色滤光材料，只允许绿光波段的光信号通过，这样，光信号经过该彩色滤光层221后，光信号的波段变窄，总体光强降低，也就是说，进入该第二类像素点的光信号的强度降低。偏振片可以用于改变光信号的偏振方向，故其也可以起到降低进入该第二类像素点的光信号强度的目的。
应理解，在本申请实施例中，也可以在该第二类像素点的上方设置其他结构，或者涂覆其他材料，只要能够达到降低进入该第二类像素点的光信号强度的目的即可，本申请实施例对此不作限定。以下，以在该第二类像素点212的上方设置彩色滤光层221为例进行介绍，但不应对本申请实施例构成任何限定。
需要说明的是，在本申请实施例中，用于指纹检测的光源的发射光的波段需要包括彩色滤光材料的波段，以及除此波段范围以外的至少部分其他波段，也就是说，该彩色滤光材料的波段只包括该发射光的部分波段。这样，该反射光在目标的表面反射后，进入彩色滤光层，经过该彩色滤光层后滤除一部分光信号，同时允许一部分光信号通过以确定该第二类像素点的相对光强。
举例来说，若该光源发射的是白光，该彩色滤光材料可以为绿色滤光材料，只允许绿光波段通过，或者也可以为蓝色滤光材料，只允许蓝光波段通过，或者也可以为青色滤光材料，同时允许绿光和蓝光波段通过等，只要该彩色滤光材料能够滤除部分波段的光信号，同时允许其他波段的光信号通过即可，本申请实施例对此不做限定。
可选地，在本申请实施例中，该用于指纹检测的光源可以是来自显示屏的自发光源，或者也可以是集成于该指纹识别装置内部的激励光源或其他外置激励光源，本申请实施例对此不做限定。
可选地，在一些实施例中，可以在该第一类像素点211的上方设置透光材料222，以使进入到第一类像素点211的光信号的强度不受影响，或影响较小。或者，在另一些实施例中，该第一类像素点211的上方也可以不设置透光材料，即该第一类像素点和其上方的光学组件230之间可以为空气。
那么，从目标表面反射的光信号经透光材料222和该彩色滤光层221后，分别到达该第一类像素点211和第二类像素点212，由于该透光材料222和该彩色滤光层221的光学性能不同，使得第二类像素点212和邻近的第一类像素点211检测的反射光的强度具有一定的差异，对于不同的材料(例如，皮肤组织和人工材料)而言，该强度差异明显不同，因此，基于该强度差异，可以确定该指纹识别装置采集的指纹图像是否来自真实手指。
应理解，在本申请实施例中，与第二类像素点212邻近的第一类像素点211可以包括位于该第二类像素点212的上方、下方、左方或右方的第一类像素点211中的至少一个，或者也可以以该第二类像素点212为圆心，以特定半径画圆，将处于该圆内的第一类像素点211确定为与该第二类像素点212邻近的第一类像素点，或者也可以按照其他方式确定邻近的第一类像素点，本申请实施例对此不作限定。
需要说明的是，该第二类像素点和与该第二类像素点邻近的第一类像素 点为同型的像素点，这里的同型的像素点可以指该第二类像素点和邻近的第一类像素点接收的光信号都来自指纹嵴或都来自指纹峪，即其接收的光信号来自的指纹位置的类型相同。
综上，该第二类像素点和邻近的第一类像素点的主要区别在于其上方所设置的滤光材料的不同，即第二类像素点的上方设置的是彩色滤光层或偏振片，而第一类像素点的上方设置的是透光材料或不设置任何材料，而在其他方面的特性基本相同，例如，采集的光信号都来自指纹嵴或都来自指纹峪，在像素阵列中的位置邻近，故可以认为其所处的环境相同或相似，换句话说，环境因素对采集的光信号的影响相同或相似，那么，计算该第二类像素点接收的光信号的强度与邻近的第一类像素点接收的光信号的强度的比值，在一定程度上可以消除环境因素的影响，这样，消除环境因素影响的该比值可以显著反映目标物体的材料的光学特性，进一步地，根据该比值确定该目标物体是否为真实手指，能够提升活体检测的准确度。
应理解，在本申请实施例中，可以不使用该第二类像素点的采样值确定目标物体的指纹信息，此情况下，该第二类像素点位置的采样值可以通过根据邻近的第一类像素点的采样值确定，例如，将邻近的第一类像素点的采样值进行插值或拟合处理得到该第二类像素点的采样值。
可选地，在本申请实施例中，该第二类像素点的采样值也可以用于确定目标物体的指纹信息，由于光学成像原理，指纹检测区域的中心位置的像素点通常提早进入饱和区，通过将第二类像素点设置在像素阵列的中心位置，可以有利于避免中心位置的采样值过早进入饱和区，从而能够提升中心区域像素点的采样值。
可选地，在一些实施例中，所述处理器220具体用于：
根据所述每个第二类像素点接收的光信号的强度与邻近的所述至少一个第一类像素点接收的光信号的强度，确定所述每个第二类像素点的相对光强；
根据所述每个第二类像素点的相对光强和相对光强范围，确定所述目标是否为真实手指。
作为一个实施例，该第二类像素点的相对光强可以为第二类像素点和邻近的一个第一类像素点接收的光信号的强度的比值，或者，也可以确定该第二类像素点与邻近的多个第一类像素点的多个比值，根据该多个比值确定该 第二类像素点的相对光强，例如，可以将该多个比值中的最大值、最小值或平均值确定为该第二像素点的相对强度。
第二类像素点为P2，检测的光信号的强度为S2，与该第二类像素点邻近的第一类像素点包括P11，P12和P13，检测的光信号的强度分别为S11，S12和S13，则该P2的相对强度可以为S2/S11，S2/S12和S2/S13中的任意一个；或者该P2的相对强度也可以为S2/S11，S2/S12和S2/S13中的最大值、最小值或平均值。
作为另一实施例，可以首先确定与该第二类像素点邻近的多个第一类像素点接收的光信号的强度的最大值、最小值或平均值，然后将该第二类像素点接收的光信号的强度与邻近的该多个第一类像素点接收的光信号的强度的最大值、最小值或平均值的比值确定为该第二类像素点的相对光强。
接着上个例子，该第二类像素点P2的相对强度RS可以为S2/max(S11+S12+S13)，S2/min(S11+S12+S13)或S2/avg(S11+S12+S13)，其中，max，min和avg分别表示取最大值、取最小值和取平均值。
应理解，以上该第二类像素点的相对光强的确定方式仅为示例，该处理器也可以根据其他公式确定该第二类像素点的相对光强，只要能够反映该第二类像素点与邻近的同型的第一类像素点采集的光信号的强度差异即可，本申请实施例不作具体限定。
因此，该第二类像素点的相对光强可以用于表征该第二类像素点相对于邻近的第一类像素点接收的光信号的光强的降低程度(或者说，削弱程度)。对于不同的材料而言，该降低程度具有明显的差异，也就是说，真实手指对应特定的相对光强范围，对于人工材料而言，第二类像素点的相对光强不在该相对光强范围内，因此，根据第二类像素点的相对光强是否在该相对光强范围内，可以确定该目标是否为真实手指。
在一种可选的实现方式中，该处理器可以确定相对光强在该相对光强范围内的第二类像素点的数量(或称匹配数量)，进一步地，根据该数量确定该目标是否为真实手指。例如，该处理器可以在该数量大于特定数量阈值时，确定该目标为真实手指，否则，确定该目标为假手指；或者，该处理器也可以在该数量占该第二类像素点的总数量的比例(或称匹配比例)大于或等于特定比例阈值时，确定该目标为真实手指，否则，确定该目标为假手指。
可选地，在一些实施例中，可以设置触发指纹识别的操作的安全等级， 例如，可以设置对终端设备的解锁操作为低安全等级，设置支付类操作为高安全等级，进一步地，可以为不同的安全等级设置不同的特定数量阈值或特定比例阈值，即可以确定安全等级和特定数量阈值或特定比例阈值的第一对应关系，从而，该处理器可以根据触发指纹识别的操作的安全等级，结合该第一对应关系，确定该特定数量阈值或该特定比例阈值。
例如，高安全等级对应第一数量阈值或第一比例阈值，低安全等级对应第二数量阈值或第二比例阈值，则可以设置该第一数量阈值大于该第二数量阈值，该第一比例阈值大于第二比例阈值。通过设置高安全等级对应较高的匹配数量或匹配比例，有利于提升指纹识别的安全性，通过设置低安全等级对应较低的匹配数量或匹配比例，有利于降低拒识率(False Rejection Rate，FRR)，提升指纹识别速度。
可选地，在一些实施例中，也可以设置不同的安全等级对应不同的相对光强范围，即确定安全等级和相对光强范围的第二对应关系，例如，可以设置低安全等级对应的相对光强范围比高安全等级对应的相对光强范围宽。例如，若高安全等级对应第一光强范围，低安全等级对应第二光强范围，则可以设置所述第一光强范围的上限小于所述第二光强范围的上限，和/或该第一光强范围的下限大于所述第二光强范围的下限。通过设置高安全等级对应较窄的相对光强范围，有利于提升指纹识别的安全性，通过设置低安全等级对应较宽的相对光强范围，有利于降低FRR，提升指纹识别速度。
可选地，在一些实施例中，由于指纹嵴和指纹峪的反射能力不同，因此，对于光信号来自指纹嵴还是指纹峪，可以分别配置对应的相对光强范围，从而该处理器可以根据该第二类像素点接收的光信号来自指纹嵴还是指纹峪，确定根据哪个相对光强范围，确定指纹的真假。
可选地，本申请实施例中的相对光强范围可以是通过采集大量的真实手指的指纹样本进行训练得到的，后续方法实施例中进行详细说明。
可选地，在本申请实施例中，该处理器可以在该指纹识别装置采集的目标的指纹信息与注册的该目标的指纹模板匹配，并且该目标为真实手指的情况下，确定指纹认证成功，进一步地，可以执行触发该指纹识别的操作，例如，进行终端解锁或支付等操作。
结合图3所示的光信号的传输图，说明本申请实施例的指纹识别装置的工作原理。
当目标240放置于指纹识别区域(例如，图1中的指纹检测区域103)的上方时，由显示屏250发射的光信号251、255和253分别到达指纹嵴241和指纹峪242，并分别形成反射光252、256和254，其中，反射光252和256来自指纹嵴241的反射，反射光254来自指纹峪242的反射。通常来说，光信号在指纹嵴的反射较强，故反射的光信号的强度较大，而在指纹峪的反射较弱，故反射的光信号的强度较小，反射光254和256被第一类像素点211接收后，可以获得具有明暗对比的指纹图像。
反射光252经过彩色滤光层222后，信号强度相对于反射光256下降，可以确定该第二类像素点212接收的反射光252的强度和第一类像素点211接收的反射光256的强度的比值，对于真实手指而言，该比值会在特定的光强范围内波动，而对于硅胶、纸张或胶带等人工材料，由于与皮肤组织的反射性能不同，该比值不在上述光强范围内，因此，根据该比值是否在该光强范围内，可以确定该目标240是否为真实手指。例如，若该光强范围为[0.65,0.75]，若确定的多个第二类像素点的相对光强都在0.5左右，则可以认为该目标240为假手指。
可选地，在本申请实施例中，该指纹识别装置20还可以包括驱动模块和信号读取模块，该驱动模块和信号读取模块可以通过内部走线与像素阵列210连接，其中，该驱动模块用于控制该像素阵列210的逐行扫描，该信号读取模块可以用于将该像素阵列210检测的信号进行处理，例如进行放大和模数转换(Analog-to-Digital Converter，ADC)，进一步将处理后的信号发送给处理器220，可选地，该信号读取模块与该处理器220可以通过柔性电路板(Flexible Printed Circuit，FPC)连接。
上文结合图2至图3，详细描述了本申请的装置实施例，下文结合图4至图6，详细描述本申请的方法实施例，应理解，方法实施例与装置实施例相互对应，类似的描述可以参照装置实施例。
图4是本申请实施例的指纹识别的方法的示意性流程图，应理解，该方法400可以应用于如图2所示的指纹识别装置20中，具体地，该方法400可以由该指纹识别装置中的处理器来执行，如图4所示，该方法400包括：
S401，获取多个第一类像素点和至少一个第二类像素点接收的来自目标的光信号；
S402，根据每个第二类像素点接收的光信号的强度，以及与所述每个第 二类像素点邻近的至少一个第一类像素点接收的光信号的强度，确定所述目标是否为真实手指。
可选地，在一些实施例中，S402具体可以包括：
根据所述每个第二类像素点接收的光信号的强度与邻近的所述至少一个第一类像素点接收的光信号的强度，确定所述每个第二类像素点的相对光强；根据所述每个第二类像素点的相对光强和相对光强范围，确定所述目标是否为真实手指。
可选地，在一些实施例中，所述根据所述每个第二类像素点接收的光信号的强度与邻近的所述至少一个第一类像素点接收的光信号的强度，确定所述每个第二类像素点的相对光强，包括：
将每个第二类像素点接收的光信号的强度和邻近的所述至少一个第一类像素点接收的光信号的强度的至少一个比值，确定为所述每个第二类像素点的相对光强。
可选地，在一些实施例中，所述根据所述每个第二类像素点的相对光强和相对光强范围，确定所述目标是否为真实手指，包括：
确定相对光强在所述相对光强范围内的第二类像素点的数量；
根据所述数量，确定所述目标是否为真实手指。
可选地，在一些实施例中，所述根据所述数量，确定所述目标是否为真实手指，包括：
若所述数量大于或等于特定数量阈值，或所述数量占所述第二类像素点的总数量的比例大于或等于特定比例阈值，确定所述目标为真实手指；或
若所述数量小于所述特定数量阈值，或所述数量占所述第二类像素点的总数量的比例小于所述特定比例阈值，确定所述目标为假手指。
可选地，在一些实施例中，所述方法400还包括：
根据触发指纹识别的操作的安全等级以及第一对应关系，确定所述特定比例阈值或所述特定数量阈值，其中，所述第一对应关系为安全等级和比例阈值或特定数量阈值的对应关系。
可选地，在所述第一对应关系中，第一安全等级对应第一比例阈值或第一数量阈值，第二安全等级对应第二比例阈值或第二数量阈值，其中，所述第一安全等级高于所述第二安全等级，所述第一比例阈值大于所述第二比例阈值，所述第一数量阈值大于所述第二数量阈值。
可选地，在一些实施例中，所述方法还包括：
根据触发指纹识别的操作的安全等级以及第二对应关系，确定所述相对光强范围，其中，所述第二对应关系为安全等级和相对光强范围的对应关系。
可选地，在所述第二对应关系中，第一安全等级对应第一光强范围，第二安全等级对应第二光强范围，其中，所述第一安全等级高于所述第二安全等级，所述第一光强范围的上下限的差值小于所述第二光强范围的上下限的差值。
可选地，在一些实施例中，所述方法400还包括：
根据所述第二类像素点接收的光信号来自的手指位置，确定所述相对光强范围，其中，手指位置包括指纹嵴和指纹峪，分别对应不同的强度范围。
可选地，在一些实施例中，所述方法400还包括：
根据所述多个第一类像素点和所述至少一个第二类像素点采集的来自多个真实手指的光信号，确定所述相对光强范围。
对于首次进行指纹识别的用户，需要进行指纹信息的采集和录入，该相对光强范围的确定过程可以在该指纹录入的过程中实现。如图5所示，具体可以包括如下步骤：
S301，通过指纹识别装置的像素阵列中的普通像素点和特征像素点多次采集从用户手指反射的光信号，其中，该普通像素点采集的光信号可以用于确定用户的指纹信息，同时，还可以确定每个特征像素点和邻近的普通像素点采集的光信号的强度的多个比值，该多个比值可以用于确定前文所述的相对光强范围。
由于特征像素点检测的光信号可以来自指纹嵴，也可以来自指纹峪，故可以确定这两种情况下分别对应的相对光强范围。
在本申请实施例中，可以通过该指纹识别装置的像素阵列中的普通像素点和特征像素点可以对大量的真实手指进行指纹采集，以确定该相对光强范围，该大量的真实手指可以来自同一用户，或者也可以来自多个不同的用户。
进一步地，在S302中，可以根据在S301中得到的该多个比值，确定该相对光强范围。
可选地，可以对该多个比值进行机器学习，或者也可以通过卷积神经网络对该多个比值的样本数据进行训练，以确定该相对光强范围。
确定用户录入的指纹信息和该相对光强范围后，结合图6，说明后续的 指纹认证(即指纹识别)的过程。具体可以包括如下步骤：
S510，根据应用场景确定安全等级；
具体地，该应用场景可以包括终端解锁场景和支付场景等，不同的应用场景可以对应不同的安全等级，不同的安全等级对应的指纹识别算法不同，具体可以为不同的安全等级对应不同的相对光强范围、匹配数量阈值或匹配比例阈值等，具体实现可以参考前述实施例的相关描述。
S520，指纹识别装置检测指纹识别区域上方的目标的指纹图像。
S530，确定该指纹图像与录入的该目标的指纹图像是否匹配。
若匹配，执行S540，否则，执行S535，向用户指示指纹识别失败，或者提示用户重新进行指纹输入，流程进行到S520。
在S540中，计算每个特征像素点与邻近的同型的普通像素点接收的光信号的强度的比值，即前文所述的第二类像素点的相对光强。
进一步地，在S550中，根据在该510中确定的安全等级对应的相对光强范围和匹配数量阈值，确定比值在该相对光强范围内的特征像素点的数量。
在S560中，确定该数量是否达到匹配数量阈值。
若是，执行S570，确定指纹认证成功，否则，执行S565，向用户指示指纹识别失败，或者提示用户重新进行指纹输入，流程进行到S520。
因此，在本申请实施例中，该指纹识别装置可以在所述目标的指纹信息与预存的所述目标的指纹信息匹配，并且，所述目标为真实手指的情况下，确定指纹认证成功，能够提升指纹识别的安全性。
应理解，以上指纹识别的过程仅为示例，本申请实施例也可以先确定该目标是否为真实手指，然后在该目标为真实手指的情况下，再确定该目标的指纹信息与录入的该目标的指纹信息是否匹配，在同时满足上述两个条件的情况下，确定指纹认证成功，进一步执行触发该指纹识别的操作，例如，进行终端解锁或支付等操作。
应理解，在本申请的方法实施例中，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。
如图7所示，本申请实施例还提供了一种终端设备700，所述终端设备700可以包括指纹识别装置710，该指纹识别装置710可以为前述装置实施 例中的指纹识别装置20，其能够用于执行图4至图6中方法实施例中的内容。
应理解，本申请实施例的处理器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，本申请实施例的指纹识别还可以包括存储器，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4至图6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4至图6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4至图6所示实施例的方法。
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 (36)

  1. 一种指纹识别装置，其特征在于，包括：
    光学传感器，包括像素阵列，其中，所述像素阵列包括多个第一类像素点和至少一个第二类像素点，所述多个第一类像素点和所述至少一个第二类像素点用于接收来自目标的光信号；
    彩色滤光层或偏振片，用于设置在所述至少一个第二类像素点的上方；
    其中，所述至少一个第二类像素点接收的光信号的强度和其相邻的至少一个第一类像素点接收的光信号的强度用于确定所述目标是否为真实手指。
  2. 根据权利要求1所述的指纹识别装置，其特征在于，还包括：
    处理器，用于根据每个第二类像素点接收的光信号的强度，以及与所述每个第二类像素点邻近的至少一个第一类像素点接收的光信号的强度，确定所述目标是否为真实手指。
  3. 根据权利要求1所述的指纹识别装置，其特征在于，所述彩色滤光层为彩色滤光材料，所述彩色滤光材料的波段范围只包括用于指纹识别的光信号的波段范围中的部分。
  4. 根据权利要求3所述的指纹识别装置，其特征在于，所述彩色滤光材料包括以下材料中的至少一种：
    绿色滤光材料、蓝色滤光材料或红色滤光材料。
  5. 根据权利要求1至4中任一项所述的指纹识别装置，其特征在于，所述第二类像素点和邻近的所述第一类像素点接收的光信号都来自指纹嵴或都来自指纹峪。
  6. 根据权利要求1至5中任一项所述的指纹识别装置，其特征在于，所述多个第一类像素点的上方设置有透光材料。
  7. 根据权利要求2至5中任一项所述的指纹识别装置，其特征在于，所述处理器还用于：
    根据所述每个第二类像素点接收的光信号的强度与邻近的所述至少一个第一类像素点接收的光信号的强度，确定所述每个第二类像素点的相对光强；
    根据所述每个第二类像素点的相对光强和相对光强范围，确定所述目标是否为真实手指。
  8. 根据权利要求7所述的指纹识别装置，其特征在于，所述处理器具 体用于：
    将每个第二类像素点接收的光信号的强度和邻近的所述至少一个第一类像素点接收的光信号的强度的至少一个比值，确定为所述每个第二类像素点的相对光强。
  9. 根据权利要求7或8所述的指纹识别装置，其特征在于，所述处理器还用于：
    确定相对光强在所述相对光强范围内的第二类像素点的数量；
    根据所述数量，确定所述目标是否为真实手指。
  10. 根据权利要求9所述的指纹识别装置，其特征在于，所述处理器还用于：
    若所述数量大于或等于特定数量阈值，或所述数量占所述第二类像素点的总数量的比例大于或等于特定比例阈值，确定所述目标为真实手指；或
    若所述数量小于所述特定数量阈值，或所述数量占所述第二类像素点的总数量的比例小于所述特定比例阈值，确定所述目标为假手指。
  11. 根据权利要求10所述的指纹识别装置，其特征在于，所述处理器还用于：
    根据触发指纹识别的操作的安全等级以及第一对应关系，确定所述特定比例阈值或所述特定数量阈值，其中，所述第一对应关系为安全等级和比例阈值或特定数量阈值的对应关系。
  12. 根据权利要求11所述的指纹识别装置，其特征在于，在所述第一对应关系中，第一安全等级对应第一比例阈值或第一数量阈值，第二安全等级对应第二比例阈值或第二数量阈值，其中，所述第一安全等级高于所述第二安全等级，所述第一比例阈值大于所述第二比例阈值，所述第一数量阈值大于所述第二数量阈值。
  13. 根据权利要求7至12中任一项所述的指纹识别装置，其特征在于，所述处理器还用于：
    根据触发指纹识别的操作的安全等级以及第二对应关系，确定所述相对光强范围，其中，所述第二对应关系为安全等级和相对光强范围的对应关系。
  14. 根据权利要求13所述的指纹识别装置，其特征在于，在所述第二对应关系中，第一安全等级对应第一光强范围，第二安全等级对应第二光强范围，其中，所述第一安全等级高于所述第二安全等级，所述第一光强范围 的上下限的差值小于所述第二光强范围的上下限的差值。
  15. 根据权利要求7至14中任一项所述的指纹识别装置，其特征在于，所述处理器还用于：
    根据所述第二类像素点接收的光信号来自的手指位置，确定所述相对光强范围，其中，指纹嵴和指纹峪分别对应不同的相对光强范围。
  16. 根据权利要求7至15中任一项所述的指纹识别装置，其特征在于，所述处理器还用于：
    根据所述多个第一类像素点和所述至少一个第二类像素点多次采集的来自真实手指的光信号的强度，确定所述相对光强范围。
  17. 根据权利要求2至16中任一项所述的指纹识别装置，其特征在于，所述处理器还用于：
    在所述目标的指纹信息与预存的所述目标的指纹信息匹配，并且，所述目标为真实手指的情况下，确定指纹认证成功。
  18. 根据权利要求1至16中任一项所述的指纹识别装置，其特征在于，所述指纹识别装置还包括：
    光学组件，设置于所述像素阵列的上方，用于将从所述目标的表面反射的光信号引导至所述像素阵列。
  19. 根据权利要求18所述的指纹识别装置，其特征在于，所述光学组件包括滤光层和导光层，其中，所述滤光层用于滤除进入所述像素阵列的环境光，所述导光层用于将从所述目标的表面反射的光信号引导至所述像素阵列。
  20. 根据权利要求1至19中任一项所述的指纹识别装置，其特征在于，所述导光层包括以下中至少一种：透镜、准直器，小孔。
  21. 一种指纹识别的方法，其特征在于，应用于包括光学传感器的指纹识别装置，其中，所述光学传感器包括的像素阵列中包括多个第一类像素点和至少一个第二类像素点，并且所述至少一个第二类像素点的上方设置有彩色滤光层或偏振片，所述方法包括：
    获取所述多个第一类像素点和所述至少一个第二类像素点接收的来自目标的光信号；
    根据每个第二类像素点接收的光信号的强度，以及与所述每个第二类像素点邻近的至少一个第一类像素点接收的光信号的强度，确定所述目标是否 为真实手指。
  22. 根据权利要求21所述的方法，其特征在于，所述根据每个第二类像素点接收的光信号的强度，以及与所述每个第二类像素点邻近的至少一个第一类像素点接收的光信号的强度，确定所述目标是否为真实手指，包括：
    根据所述每个第二类像素点接收的光信号的强度与邻近的所述至少一个第一类像素点接收的光信号的强度，确定所述每个第二类像素点的相对光强；
    根据所述每个第二类像素点的相对光强和相对光强范围，确定所述目标是否为真实手指。
  23. 根据权利要求22所述的方法，其特征在于，所述根据所述每个第二类像素点接收的光信号的强度与邻近的所述至少一个第一类像素点接收的光信号的强度，确定所述每个第二类像素点的相对光强，包括：
    将每个第二类像素点接收的光信号的强度和邻近的所述至少一个第一类像素点接收的光信号的强度的至少一个比值，确定为所述每个第二类像素点的相对光强。
  24. 根据权利要求22或23所述的方法，其特征在于，所述根据所述每个第二类像素点的相对光强和相对光强范围，确定所述目标是否为真实手指，包括：
    确定相对光强在所述相对光强范围内的第二类像素点的数量；
    根据所述数量，确定所述目标是否为真实手指。
  25. 根据权利要求24所述的方法，其特征在于，所述根据所述数量，确定所述目标是否为真实手指，包括：
    若所述数量大于或等于特定数量阈值，或所述数量占所述第二类像素点的总数量的比例大于或等于特定比例阈值，确定所述目标为真实手指；或
    若所述数量小于所述特定数量阈值，或所述数量占所述第二类像素点的总数量的比例小于所述特定比例阈值，确定所述目标为假手指。
  26. 根据权利要求25所述的方法，其特征在于，所述方法还包括：
    根据触发指纹识别的操作的安全等级以及第一对应关系，确定所述特定比例阈值或所述特定数量阈值，其中，所述第一对应关系为安全等级和比例阈值或特定数量阈值的对应关系。
  27. 根据权利要求26所述的方法，其特征在于，在所述第一对应关系 中，第一安全等级对应第一比例阈值或第一数量阈值，第二安全等级对应第二比例阈值或第二数量阈值，其中，所述第一安全等级高于所述第二安全等级，所述第一比例阈值大于所述第二比例阈值，所述第一数量阈值大于所述第二数量阈值。
  28. 根据权利要求22至27中任一项所述的方法，其特征在于，所述方法还包括：
    根据触发指纹识别的操作的安全等级以及第二对应关系，确定所述相对光强范围，其中，所述第二对应关系为安全等级和相对光强范围的对应关系。
  29. 根据权利要求28所述的方法，其特征在于，在所述第二对应关系中，第一安全等级对应第一光强范围，第二安全等级对应第二光强范围，其中，所述第一安全等级高于所述第二安全等级，所述第一光强范围的上下限的差值小于所述第二光强范围的上下限的差值。
  30. 根据权利要求21至29中任一项所述的方法，其特征在于，所述第二类像素点和邻近的所述第一类像素点接收的光信号都来自指纹嵴或都来自指纹峪。
  31. 根据权利要求22至30中任一项所述的方法，其特征在于，所述方法还包括：
    根据所述第二类像素点接收的光信号来自的手指位置，确定所述相对光强范围，其中，指纹嵴和指纹峪分别对应不同的相对光强范围。
  32. 根据权利要求22至31中任一项所述的方法，其特征在于，所述方法还包括：
    根据所述多个第一类像素点和所述至少一个第二类像素点多次采集的来自真实手指的光信号的强度，确定所述相对光强范围。
  33. 根据权利要求21至32中任一项所述的方法，其特征在于，所述方法还包括：
    在所述目标的指纹信息与预存的所述目标的指纹信息匹配，并且，所述目标为真实手指的情况下，确定指纹认证成功。
  34. 一种芯片，其特征在于，用于执行如权利要求21至33中任一项所述的指纹识别的方法。
  35. 一种终端设备，其特征在于，包括：
    如权利要求1至10中任一项所述的指纹识别装置。
  36. 根据权利要求35所述的终端设备，其特征在于，所述终端设备还包括：
    显示屏，设置于所述指纹识别装置的上方。
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