WO2020220223A1 - Procédé de reconnaissance d'empreintes digitales et dispositif électronique - Google Patents

Procédé de reconnaissance d'empreintes digitales et dispositif électronique Download PDF

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Publication number
WO2020220223A1
WO2020220223A1 PCT/CN2019/085057 CN2019085057W WO2020220223A1 WO 2020220223 A1 WO2020220223 A1 WO 2020220223A1 CN 2019085057 W CN2019085057 W CN 2019085057W WO 2020220223 A1 WO2020220223 A1 WO 2020220223A1
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WO
WIPO (PCT)
Prior art keywords
fingerprint
fingerprint recognition
capacitance value
capacitance
human finger
Prior art date
Application number
PCT/CN2019/085057
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English (en)
Chinese (zh)
Inventor
李运宁
沈健
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.)
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 CN201980000678.0A priority Critical patent/CN110235144A/zh
Priority to PCT/CN2019/085057 priority patent/WO2020220223A1/fr
Publication of WO2020220223A1 publication Critical patent/WO2020220223A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G06F3/0414—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means using force sensing means to determine a position
    • 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
    • G06V40/1306—Sensors therefor non-optical, e.g. ultrasonic or capacitive sensing

Definitions

  • the embodiments of the present application relate to the field of fingerprint identification, and more specifically, to a method and electronic device for fingerprint identification.
  • the fingerprint recognition technology under the screen mainly uses the fingerprint recognition technology under the optical screen.
  • the fingerprint recognition technology under the optical screen uses the optical fingerprint sensor to collect the reflected light formed by the reflection of the finger from the light source, and the reflected light carries the fingerprint information of the finger. Fingerprint recognition under the screen.
  • the embodiments of the present application provide a method and electronic device for fingerprint identification, which can enhance the security of fingerprint identification under the screen.
  • a method for fingerprint identification is provided.
  • the method is applied to an electronic device with a touch display screen, the touch display screen includes a fingerprint identification area, and the method includes: acquiring the fingerprint identification area The capacitance information of the fingerprint recognition area when the object is pressed; according to the capacitance information, it is determined whether the object is a human finger; when the object is a human finger, fingerprint identification of the object is performed.
  • performing fingerprint recognition on the object includes: when the object is a human finger, triggering a fingerprint recognition device to collect a fingerprint image of the object Information; acquiring the fingerprint image information collected by the fingerprint identification device; determining the fingerprint identification result according to the fingerprint image information.
  • the method before determining whether the object is a human finger, the method further includes: acquiring fingerprint image information of the object; and performing fingerprint identification on the object includes: The fingerprint image information determines the fingerprint recognition result.
  • the determining whether the object is a human finger according to the capacitance information includes: according to the capacitance value of the fingerprint recognition area when the fingerprint recognition area is pressed by the object, and The difference ⁇ C1 between the capacitance values of the fingerprint recognition area when the fingerprint recognition area is not pressed by the object is used to determine whether the object is a human finger.
  • the capacitance value of the fingerprint recognition area when the fingerprint recognition area is pressed by the object is compared with the fingerprint recognition when the fingerprint recognition area is not pressed by the object.
  • the difference ⁇ C1 between the capacitance values of the regions, determining whether the object is a human finger includes: determining that the object is a human finger when the difference ⁇ C1 is within the first capacitance range.
  • the first capacitance range is obtained by training based on capacitance information obtained by the user during fingerprint entry and/or fingerprint authentication.
  • the determining whether the object is a human finger according to the capacitance information includes: according to when the fingerprint recognition area is pressed by the object, when a driving signal is at least two driving frequencies The capacitance value under driving determines whether the object is a human finger.
  • the at least two driving frequencies include a first driving frequency and a second driving frequency.
  • the driving signal at the at least two driving frequencies To determine whether the object is a human finger, including: determining whether the object is a human finger according to the difference ⁇ C2 between the first capacitance value and the second capacitance value, wherein The capacitance value is the capacitance value when the fingerprint recognition area is pressed by the object under the driving signal of the first driving frequency, and the second capacitance value is when the fingerprint recognition area is pressed by the object.
  • the capacitance value driven by the driving signal of the second driving frequency.
  • the determining whether the object is a human finger according to the difference ⁇ C2 between the first capacitance value and the second capacitance value includes: when the difference ⁇ C2 is within the second capacitance range In the case of, it is determined that the object is a human finger.
  • the second capacitance range is obtained by training based on capacitance information obtained by the user during fingerprint entry and/or fingerprint authentication.
  • the fingerprint image information is generated by the fingerprint identification device according to the light signal reflected or scattered by the object.
  • an electronic device including: a touch display screen, and a processor, where the processor is configured to execute the first aspect and the method for fingerprint identification that may be implemented in the first aspect.
  • the capacitance information of the pressed position will change, and for objects of different materials, the capacitance value of the pressed position will also be different.
  • This application uses the above-mentioned working principle of the touch display screen, that is, when a true or false fingerprint presses the touch display screen, the capacitance value of the pressing position is different, and it can be determined whether the pressing object is a human finger, and the result is used for fingerprint recognition under the screen. It can identify two-dimensional fake fingerprints and three-dimensional fake fingerprints to enhance the security of fingerprint recognition.
  • FIG. 1 is a schematic diagram of the structure of an electronic device used in an embodiment of the present application.
  • Fig. 2 is a schematic structural diagram of a fingerprint identification device provided by an embodiment of the present application.
  • Fig. 3 is a schematic structural diagram of another fingerprint identification device provided by an embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of a touch assembly provided by an embodiment of the present application.
  • FIG. 5 is a schematic structural diagram of another touch component provided by an embodiment of the present application.
  • FIG. 6 is a schematic structural diagram of a method for fingerprint identification provided by an embodiment of the present application.
  • FIG. 7 is a schematic diagram of the capacitance values of the fingerprint recognition area provided by the embodiment of the present application under the pressing of objects of different materials.
  • FIG. 8 is a schematic diagram of the amount of change in the capacitance value of the fingerprint recognition area driven by driving signals of different frequencies according to an embodiment of the present application.
  • FIG. 9 is a schematic flowchart of a fingerprint identification method provided by an embodiment of the present application.
  • FIG. 10 is a schematic flowchart of another fingerprint identification method provided by an embodiment of the present application.
  • FIG. 11 is a schematic block diagram of an electronic device provided by an embodiment of the present application.
  • Under-screen fingerprint recognition may include under-screen optical fingerprint recognition, under-screen ultrasonic fingerprint recognition, and in-screen optical fingerprint recognition.
  • FIG. 1 is a schematic structural diagram of a terminal device to which the embodiment of the application can be applied.
  • the terminal device 10 includes a display screen 120 and an optical fingerprint device 130, wherein the optical fingerprint device 130 is disposed under the display screen 120 Local area.
  • the optical fingerprint device 130 includes an optical fingerprint sensor, and the optical fingerprint sensor includes a sensing array 133 having a plurality of optical sensing units 131, and the area where the sensing array is located or its sensing area is the fingerprint detection area of the optical fingerprint device 130 103.
  • the fingerprint detection area 103 is located in the display area of the display screen 120.
  • the optical fingerprint device 130 may also be arranged in other positions, such as the side of the display screen 120 or the non-transparent area of the edge of the terminal device 10, and the optical fingerprint device 130 may be designed to The optical signal of at least a part of the display area of the display screen 120 is guided to the optical fingerprint device 130, so that the fingerprint detection area 103 is actually located in the display area of the display screen 120.
  • the area of the fingerprint detection area 103 may be different from the area of the sensing array of the optical fingerprint device 130, for example, through optical path design such as lens imaging, reflective folding optical path design, or other optical path design such as light convergence or reflection, etc.
  • the area of the fingerprint detection area 103 of the optical fingerprint device 130 can be made larger than the area of the sensing array of the optical fingerprint device 130.
  • the fingerprint detection area 103 of the optical fingerprint device 130 may also be designed to be substantially the same as the area of the sensing array of the optical fingerprint device 130.
  • the terminal device 10 adopting the above structure does not need to reserve a space on the front side for the fingerprint button (such as the Home button), so that a full screen solution can be adopted, that is, the display area of the display screen 120 It can be basically extended to the front of the entire terminal device 10.
  • the optical fingerprint device 130 includes a light detecting part 134 and an optical component 132, and the light detecting part 134 includes the sensor array and is electrically connected to the sensor array.
  • the connected reading circuit and other auxiliary circuits can be fabricated on a chip (Die) by a semiconductor process, such as an optical imaging chip or an optical fingerprint sensor.
  • the sensing array is specifically a photodetector (Photodetector) array, which includes A plurality of photodetectors distributed in an array, the photodetector can be used as the optical sensing unit as described above; the optical component 132 can be arranged above the sensing array of the photodetecting part 134, which can specifically include A filter, a light guide layer or a light path guide structure and other optical elements.
  • the filter layer can be used to filter out ambient light penetrating the finger, and the light guide layer or light path guide structure is mainly used to remove The reflected light reflected from the finger surface is guided to the sensing array for optical detection.
  • the optical assembly 132 and the light detecting part 134 may be packaged in the same optical fingerprint component.
  • the optical component 132 and the optical detection part 134 can be packaged in the same optical fingerprint chip, or the optical component 132 can be arranged outside the chip where the optical detection part 134 is located, for example, the optical component 132 is attached above the chip, or some components of the optical assembly 132 are integrated into the chip.
  • the light guide layer or light path guiding structure of the optical component 132 has multiple implementation schemes.
  • the light guide layer may specifically be a collimator layer made on a semiconductor silicon wafer, which has multiple A collimating unit or a micro-hole array.
  • the collimating unit can be specifically a small hole.
  • the reflected light reflected from the finger the light that is perpendicularly incident on the collimating unit can pass through and be passed by the optical sensing unit below it.
  • the light with an excessively large incident angle is attenuated by multiple reflections inside the collimating unit. Therefore, each optical sensing unit can basically only receive the reflected light reflected by the fingerprint pattern directly above it.
  • the sensor array can detect the fingerprint image of the finger.
  • the light guide layer or the light path guide structure may also be an optical lens (Lens) layer, which has one or more lens units, such as a lens group composed of one or more aspheric lenses, which The sensing array used to converge the reflected light reflected from the finger to the light detection part 134 below it, so that the sensing array can perform imaging based on the reflected light, thereby obtaining a fingerprint image of the finger.
  • the optical lens layer may further have a pinhole formed in the optical path of the lens unit, and the pinhole may cooperate with the optical lens layer to expand the field of view of the optical fingerprint device to improve the optical The fingerprint imaging effect of the fingerprint device 130.
  • the light guide layer or the light path guide structure may also specifically adopt a micro-lens (Micro-Lens) layer.
  • the micro-lens layer has a micro-lens array formed by a plurality of micro-lenses, which can be grown by semiconductors.
  • a process or other processes are formed above the sensing array of the light detecting part 134, and each microlens may correspond to one of the sensing units of the sensing array.
  • other optical film layers may be formed between the microlens layer and the sensing unit, such as a dielectric layer or a passivation layer.
  • the microlens layer and the sensing unit may also include The light-blocking layer of the micro-hole, wherein the micro-hole is formed between the corresponding micro-lens and the sensing unit, the light-blocking layer can block the optical interference between the adjacent micro-lens and the sensing unit, and make the sensing The light corresponding to the unit is condensed into the microhole through the microlens and is transmitted to the sensing unit through the microhole to perform optical fingerprint imaging.
  • a microlens layer can be further provided under the collimator layer or the optical lens layer.
  • the collimator layer or the optical lens layer is used in combination with the micro lens layer, its specific laminated structure or optical path may need to be adjusted according to actual needs.
  • the display screen 120 may be a display screen with a self-luminous display unit, such as an organic light-emitting diode (Organic Light-Emitting Diode, OLED) display or a micro-LED (Micro-LED) display Screen.
  • OLED Organic Light-Emitting Diode
  • Micro-LED Micro-LED
  • the optical fingerprint device 130 may use the display unit (ie, an OLED light source) of the OLED display screen 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.
  • the light 111 is reflected on the surface of the finger 140 to form reflected light or pass through all the fingers.
  • the finger 140 scatters to form scattered light.
  • the above-mentioned reflected light and scattered light are collectively referred to as reflected light. Since the ridge and valley of the fingerprint have different light reflection capabilities, the reflected light 151 from the fingerprint ridge and the generated light 152 from the fingerprint ridge have different light intensities.
  • the reflected light passes through the optical component 132, It is received by the sensor array 134 in the optical fingerprint device 130 and converted into a corresponding electrical signal, that is, a fingerprint detection signal; based on the fingerprint detection signal, fingerprint image data can be obtained, and fingerprint matching verification can be further performed, so that the The terminal device 10 implements an optical fingerprint recognition function.
  • the optical fingerprint device 130 may also use a built-in light source or an external light source to provide an optical signal for fingerprint detection.
  • the optical fingerprint device 130 may be suitable for non-self-luminous display screens, such as liquid crystal display screens or other passively-luminous display screens.
  • the optical fingerprint system of the terminal device 10 may also include an excitation light source for optical fingerprint detection.
  • the excitation light source may specifically be an infrared light source or a light source of invisible light of a specific wavelength, which may be arranged under the backlight module of the liquid crystal display or arranged in the edge area under the protective cover of the terminal device 10, and the The optical fingerprint device 130 can be arranged under the edge area of the liquid crystal panel or the protective cover and guided by the light path so that the fingerprint detection light can reach the optical fingerprint device 130; or, the optical fingerprint device 130 can also be arranged in the backlight module. Under the group, and the backlight module is designed to allow the fingerprint detection light to pass through the liquid crystal panel and the backlight module and reach the optical fingerprint device 130 through openings or other optical designs on the film layers such as diffuser, brightness enhancement film, and reflective film. .
  • the optical fingerprint device 130 adopts a built-in light source or an external light source to provide an optical signal for fingerprint detection, the detection principle is the same as that described above.
  • the terminal device 10 further includes a transparent protective cover, and the cover 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 refers to pressing on the cover plate above the display screen 120 or covering the surface of the protective layer of the cover plate.
  • the optical fingerprint device 130 may include only one optical fingerprint sensor.
  • the fingerprint detection area 103 of the optical fingerprint device 130 has a small area and a fixed position, so the user is performing fingerprint input At this time, it is necessary to press the finger to a specific position of the fingerprint detection area 103, otherwise the optical fingerprint device 130 may not be able to collect fingerprint images, resulting in poor user experience.
  • the optical fingerprint device 130 may specifically include multiple optical fingerprint sensors; the multiple optical fingerprint sensors may be arranged side by side under the display screen 120 in a splicing manner, and the multiple optical fingerprint sensors The sensing area of the fingerprint sensor together constitutes the fingerprint detection area 103 of the optical fingerprint device 130.
  • the fingerprint detection area 103 of the optical fingerprint device 130 may include multiple sub-areas, and each sub-area corresponds to the sensing area of one of the optical fingerprint sensors, so that the fingerprint collection area of the optical fingerprint module 130 103 can be extended to the main area of the lower half of the display screen, that is, to the area where the finger is habitually pressed, so as to realize the blind fingerprint input operation.
  • the fingerprint detection area 130 can also be extended to half of the display area or even the entire display area, thereby realizing half-screen or full-screen fingerprint detection.
  • fingerprint recognition under the screen brings convenience to users, it also has some shortcomings. For example, fingerprint recognition based on optics cannot distinguish true and false fingerprints well, and human fingers are relatively easy to obtain information. Once someone else has obtained the user's fingerprint, it can be used to unlock the electronic device and steal personal sensitive information. Using fake fingerprints for payment can also cause serious property losses.
  • Figure 2 is a schematic diagram of fingerprint recognition performed by a human finger pressing the touch screen.
  • 101 is the lower substrate of the touch screen
  • 104 is the upper substrate of the touch screen
  • 102 is the touch structure layer for display
  • 103 is the touch component on the screen
  • 105 is the optical fingerprint module
  • 107 is the user finger.
  • the optical fingerprint module can receive the light signal reflected or scattered by the finger from the light source, and generate a fingerprint image of the finger according to the received light signal.
  • the processor can compare the generated fingerprint image with the entered user fingerprint image. If the two images match, the fingerprint authentication is successful, and if the two images do not match, the fingerprint authentication fails.
  • the optical fingerprint module 105 responds to the light signal reflected by the fake fingerprint.
  • the generated fingerprint pattern can be matched with the entered user fingerprint pattern. It is difficult for the optical fingerprint module to determine whether the fingerprint pattern comes from a human finger or a fake fingerprint. Therefore, the fake fingerprint can also be authenticated successfully, which affects the security of user property or privacy .
  • the touch control component 103 may also be located inside or under the display screen, that is, the touch control component 103 may be located inside the touch structure layer 102 or below the touch structure layer 102.
  • the embodiment of the present application provides a method for fingerprint identification, which can enhance the security of fingerprint identification without changing the structure of the electronic device.
  • the method of the embodiment of the present application can enhance the security of fingerprint recognition of electronic devices based on the principle of capacitance detection of the touch display screen.
  • the method can be applied to various capacitive touch screens and has good compatibility with various touch screens, such as self-capacitive touch screens or mutual-capacitive touch screens.
  • the self-capacitive touch screen detects the capacitance value between the conductor and the earth, while the mutual-capacitive touch screen detects the capacitance value between two adjacent conductors. When another conductor approaches, it will change the detection The self-capacitance value or mutual-capacitance value obtained.
  • the capacitive touch screen uses this principle to pre-arrange electrode lines or electrode matrixes related to capacitance detection on the display screen.
  • the human body acts as a conductor. When a finger presses the screen, the capacitance value detected by the electrode in the pressed area will change. For conductors with different resistivities or different materials, the variable of the capacitance value is different.
  • the embodiment of the application uses this characteristic of the capacitive touch screen to determine whether the object pressed on the fingerprint recognition area is a human finger or a fake finger.
  • the embodiment of the present application does not specifically limit the location of the touch screen assembly.
  • the touch screen component can be arranged above the display screen, or can be arranged below the display screen or inside the display screen.
  • the touch component can be divided into a single-layer nano-indium tin oxide (ITO) touch component and a double-layer ITO touch component.
  • ITO nano-indium tin oxide
  • 201 represents the substrate carrying the touch component
  • 202 is the lower electrode of ITO, which serves as the signal receiving electrode
  • 203 is the dielectric layer
  • 204 is the upper electrode, which is used as the transmitter electrode.
  • an electric field distribution can be formed between the upper and lower electrodes.
  • Each overlapping area composed of the upper and lower electrodes can be regarded as a microcapacitor.
  • the touch component can Locate the pressing position of the finger according to the change of the capacitance value.
  • the structural components of the touch display screen can be used to determine whether the object for fingerprint recognition is a human finger, and the determination result can be used for fingerprint recognition to improve the security of fingerprint recognition.
  • the technical solution provided by the embodiments of the present application only determines that the fingerprint authentication is successful if the object pressed in the fingerprint recognition area is a human finger and the fingerprint pattern of the object matches the fingerprint pattern of the user. , It can prevent the fake fingerprints carrying user fingerprint patterns from being authenticated successfully.
  • FIG. 6 is a schematic flowchart of a method for fingerprint identification provided by an embodiment of the present application.
  • the method can be applied to an electronic device with a touch display screen, and the touch display screen may also include a fingerprint recognition area, that is, the electronic device has an off-screen fingerprint recognition function.
  • the method may be executed by the processor of the electronic device.
  • the method includes steps S610-S630.
  • S610 Acquire capacitance information of the fingerprint recognition area when the fingerprint recognition area is pressed by the object.
  • S620 Determine whether the object is a human finger according to the capacitance information.
  • the touch display screen When the touch display screen is pressed by an object, the electric field distribution of the touch area will be changed, thereby changing the capacitance value of the touch area.
  • the touch display screen can determine the pressing position of the object according to the change of the capacitance value of the pressing area.
  • the amount of change caused by the capacitance value is different.
  • the embodiments of the present application can use this principle of the touch screen to determine whether the object pressed in the fingerprint recognition area is a human finger or a fake finger.
  • the embodiment of the present application may use the judgment result of the touch display screen for fingerprint recognition, that is, when performing fingerprint recognition, it will consider whether the pressing object is a human finger. Only when the pressing object is a human finger, can the fingerprint authentication succeed. When the pressing object is not a human finger, the fingerprint authentication will fail. This can identify some fake fingerprints to a certain extent and improve the security of fingerprint authentication. .
  • this method uses the touch component of the touch display screen to perform fingerprint identification, and does not need to change or increase the structure of electronic equipment or fingerprint identification device. It can be compatible with different types of electronic equipment, save costs, and simplify the fingerprint identification process.
  • fingerprints of human fingers mentioned in the embodiments of this application may also be referred to as living fingerprints.
  • the fingerprint authentication process in addition to considering the capacitance information of the fingerprint identification area, it is also necessary to consider whether the fingerprint of the object matches the fingerprint of the user. That is, in the fingerprint authentication process, the fingerprint identification result can be jointly determined based on the capacitance information of the fingerprint identification area and the fingerprint image information of the object. Only when the object is a human finger and the fingerprint pattern of the object matches, the fingerprint authentication succeeds. In other words, when the object is a human finger, but the fingerprint pattern of the object does not match the fingerprint pattern of the user, or the fingerprint pattern of the object matches the fingerprint pattern of the user, but the object is not a human finger, fingerprint authentication will be caused. failure.
  • the fingerprint recognition result is jointly determined, which may be executed by the processor of the electronic device.
  • the touch display screen can send the capacitance information of the touch display screen to the processor of the electronic device, and the fingerprint identification device can also send the obtained fingerprint image information to the processor of the electronic device.
  • the processor of the electronic device can be based on the capacitance information and the fingerprint image. Information to jointly determine the fingerprint recognition result.
  • the embodiment of the present application does not specifically limit the execution sequence of determining whether the object is a human finger and determining whether the fingerprint pattern of the object is the fingerprint pattern of the user during the fingerprint identification process.
  • the fingerprint pattern of the object is a user fingerprint pattern
  • it is no longer necessary to determine whether the object is a human finger it is no longer necessary to determine whether the object is a human finger, and it can be directly determined that the fingerprint authentication fails.
  • it is determined whether the fingerprint of the object matches the fingerprint of the user it is determined whether the object is a human finger.
  • the fingerprint identification device may be triggered to perform fingerprint collection. This can reduce the power consumption of the fingerprint identification device.
  • the judgment of the fingerprint of the object and the judgment of whether the object is a human finger can be performed in parallel. This can increase the speed of fingerprint recognition and improve user experience. That is to say, when it is detected that the object is pressed in the fingerprint recognition area, the touch display screen can detect the capacitance information, and the fingerprint recognition device can also obtain the fingerprint image information of the object. Only when the object is a human finger and the fingerprint of the object matches the fingerprint of the user, the fingerprint authentication is successful.
  • the electronic device can also obtain fingerprint image information of the object, and further determine the fingerprint recognition result based on the fingerprint image information of the object and the capacitance information of the fingerprint recognition area.
  • the detection of whether the object is pressed in the fingerprint recognition area can be determined by the touch screen.
  • the touch display screen can judge whether the object is pressed in the fingerprint recognition area according to the change of the capacitance value. Only when the object is pressed in the fingerprint recognition area, the fingerprint recognition of the object is performed. If the pressing area of the object is not the fingerprint recognition area, It is not necessary to perform fingerprint recognition on the object.
  • the fingerprint identification device in the embodiment of the present application may be an optical fingerprint identification device or an ultrasonic fingerprint identification device.
  • the embodiment of the present application does not specifically limit the manner of determining whether the object is a human finger based on the capacitance information of the fingerprint recognition area.
  • the object is a human finger based on the capacitance value of the pressed position when the fingerprint recognition area is pressed by the object. Because different materials press the touch screen, the capacitance value of the pressing position is different. That is, when a fake fingerprint presses the fingerprint recognition area, the range of the capacitance value of the fingerprint recognition area is the same as when a human finger presses the fingerprint recognition area. The range of the capacitance value of the area is different.
  • the capacitance value of the fingerprint recognition area is greater than the capacitance value of the fingerprint recognition area when a human finger presses the fingerprint recognition area; when the object of material 2 presses the fingerprint recognition area, the fingerprint recognition The capacitance value of the area is smaller than the capacitance value of the fingerprint recognition area when a human finger presses the fingerprint recognition area. Therefore, it can be directly determined whether the object is a human finger based on the capacitance value of the pressed position.
  • FIG. 7 is only a schematic diagram for explaining the principle of the embodiments of the present application, and does not represent the changing trend and ratio of the real capacitance value.
  • the embodiment of the present application can determine whether the object is a human finger according to whether the capacitance value of the fingerprint recognition area is within a preset range when the fingerprint recognition area is pressed by the object. When the capacitance value of the fingerprint recognition area is within the preset range, it can be determined that the object is a human finger; when the capacitance value of the fingerprint recognition area is not within the preset range, it can be determined that the object is not a human finger.
  • the preset range can be customized, for example, it can be preset before the device leaves the factory. Or the preset range may be determined by dynamic learning. For example, the preset range may be obtained by training based on capacitance information obtained by the user in the process of enrolling fingerprints and/or the user in the process of fingerprint authentication.
  • the preset range obtained through dynamic learning can adaptively meet the needs of different users. According to different users, the preset range can be different, which can further improve the security of fingerprint recognition and the user experience. For example, for electronic equipment with film and electronic equipment without film, the capacitance value of the fingerprint recognition area detected is different. Defining the preset range through dynamic learning can avoid the authentication failure of the user's finger during fingerprint recognition and improve the user Experience. In addition, the preset range defined by dynamic learning can also prevent the capacitance values corresponding to some fake fingerprints from falling into the preset range, and the phenomenon of successful authentication can improve the security of fingerprint recognition.
  • the difference ⁇ C1 between the capacitance value of the fingerprint recognition area when the fingerprint recognition area is pressed by an object and the capacitance value of the fingerprint recognition area when the fingerprint recognition area is not pressed can determine whether the object is a human finger.
  • the capacitance value change caused by it is different, that is, when a human finger and a fake finger press the fingerprint recognition area, the range of the capacitance value change ⁇ C1 of the fingerprint recognition area is different of. Therefore, the embodiment of the present application can determine whether the object is a human finger according to the difference ⁇ C1.
  • This method can more accurately determine whether the object is a human finger than the previous method of directly determining the capacitance value of the pressed area.
  • the touch screen can read a basic value.
  • the capacitance value of the touch screen will change.
  • the amount of change in capacitance caused by different materials is different, as shown in Figure 7.
  • material 1 the capacitance change of the touch screen caused by it is smaller than the capacitance change of the touch screen caused by a human finger, and for material 2, the capacitance change caused by it is greater than that caused by a human finger.
  • the capacitance change of the screen utilizes this characteristic of the touch display screen to recognize true and false fingers.
  • the difference ⁇ C1 is within the first capacitance range, it is determined that the object is a human finger; if the difference ⁇ C1 is not within the first capacitance range, it is determined that the object is not a human finger.
  • the first capacitance range can be customized, for example, it can be preset before the device leaves the factory. Or the first capacitance range may be determined by dynamic learning. For example, the first capacitance range may be obtained by training based on capacitance information obtained by the user during fingerprint entry and/or fingerprint authentication.
  • the first capacitance range obtained through training can better meet the needs of users. For example, in the case of filming and not filming, the amount of change ⁇ C1 of the capacitance value of the fingerprint recognition area is different.
  • the first preset range can also be continuously updated during the user fingerprint authentication process, which can further improve user experience and enhance the security of fingerprint recognition.
  • the object is a human finger according to the capacitance value of the fingerprint recognition area driven by the driving signal of at least two driving frequencies when the fingerprint recognition area is pressed by the object.
  • the human body is driven by driving signals with different driving frequencies, and the capacitance values of the fingerprint recognition area caused by it are different. As shown in Fig. 8, the capacitance values of the fingerprint recognition area caused by human fingers and other materials are different under the driving signals of different frequencies.
  • the at least two driving frequencies include a first driving frequency and a second driving frequency, and only when the capacitance value of the fingerprint identification area driven by the driving signal of the first driving frequency satisfies within the first preset range, and the fingerprint identification Only when the capacitance value of the area driven by the driving signal of the second driving frequency satisfies within the second preset range, it can be determined that the object is a human finger.
  • the human body has an obvious response to changes in the frequency of the drive signal, while many prostheses are insulated or poor conductors, and their response to changes in the frequency of the drive signal is not obvious.
  • the change in capacitance caused by a human finger is greater than the change in capacitance caused by a fake finger.
  • the capacitance value data at different frequencies can be obtained by changing the frequency of the driving signal, and then the difference in capacitance value changes between the data can be compared to determine a true or false finger.
  • FIG. 8 Shown on the left side of FIG. 8 is a waveform diagram of a driving signal with a driving frequency f1 and a driving signal with a driving frequency f2. Among them, V represents the amplitude of the drive signal, and t represents the time.
  • the capacitance value is driven by the driving signal of the first driving frequency
  • the second capacitance value is the driving signal of the second driving frequency when the fingerprint recognition area is pressed by the object.
  • the capacitance value under.
  • the difference ⁇ C2 When the difference ⁇ C2 is within the third capacitance range, it can be determined that the object is a human finger; when the difference ⁇ C2 is not within the third capacitance range, it can be determined that the object is not a human finger.
  • the third capacitance range can be customized, for example, it can be preset before the device leaves the factory. Or the third capacitance range may be determined by dynamic learning. For example, the third capacitance range may be obtained by training based on capacitance information obtained by the user during fingerprint entry and/or fingerprint authentication.
  • the object is a human finger according to the difference ⁇ C4 between the difference ⁇ C2 and the difference ⁇ C3, where the difference ⁇ C3 is the difference between the third capacitance value and the fourth capacitance value.
  • the third capacitance value is the capacitance value when the fingerprint identification area is pressed by the object under the driving signal of the third driving frequency
  • the fourth capacitance value is the fingerprint identification When the area is pressed by the object, the capacitance value under the driving signal of the fourth driving frequency.
  • the embodiment of the present application can determine whether the object is a human finger based on the difference between the capacitance difference of the fingerprint recognition area under different frequency combinations.
  • a frequency combination may include two driving frequencies, and the capacitance difference under one frequency combination may refer to the difference between the capacitance values of the fingerprint recognition area driven by the driving signals of the two driving frequencies.
  • Figure 8 shows the change of capacitance difference of different materials under different frequency combinations.
  • the first row shows the fingerprint recognition caused by different materials under the driving signal of frequency f1 of 208kHz and frequency f2 of 220kHz.
  • the difference between the capacitance values of the area is ⁇ C2.
  • the difference ⁇ C2 is 225, and for material 1, the difference ⁇ C2 is 210.
  • the fourth row shows the difference ⁇ C3 between the capacitance values of the fingerprint recognition area caused by different materials under the driving of the driving signal with the frequency f1 of 208 kHz and the frequency f2 of 275 kHz.
  • the difference ⁇ C3 is 350
  • for material 1, the difference ⁇ C3 is 270.
  • the difference ⁇ C4 between the difference ⁇ C2 and the difference ⁇ C3 caused by different materials is different.
  • the difference ⁇ C4 the difference ⁇ C3-
  • the difference ⁇ C2 60. It can be seen from the above that the finger’s response to changes in the driving frequency is significantly higher than that of Material 1. Therefore, this feature of human fingers can be used to identify real and fake fingers.
  • a second capacitance range can be predetermined for these two frequency combinations, and then according to the subsequent recognition process, when the object presses the fingerprint recognition area, the fingerprint recognition
  • the difference ⁇ C4 between the capacitance difference of the area under the combination of these two frequencies is compared with the second capacitance range to determine whether the object is a human finger.
  • the difference ⁇ C4 When the difference ⁇ C4 is within the second capacitance range, it can be determined that the object is a human finger; when the difference ⁇ C4 is not within the second capacitance range, it can be determined that the object is not a human finger.
  • the second capacitance range can be customized, for example, it can be preset before the device leaves the factory.
  • the second capacitance range may be determined by dynamic learning.
  • the second capacitance range may be obtained by training based on capacitance information obtained by the user during fingerprint entry and/or fingerprint authentication.
  • the embodiment of the present application does not specifically limit the number of driving frequencies in a frequency combination, and it may be a combination of two driving frequencies, or a combination of more than two driving frequencies.
  • the number of frequency combinations used is not specifically limited. For example, two frequency combinations may be used for identification, or two or more frequency combinations may be used for identification.
  • the capacitance difference under the frequency combination of the first row, the second row and the fourth row can be collected, and then according to the difference between the capacitance difference between the rows, whether the object is a human finger judgment.
  • the embodiment of the present application may also jointly determine whether the object is a human finger based on the difference between the first capacitance value and the basic value, and the difference between the second capacitance value and the basic value.
  • the driving signal mentioned in the embodiment of the present application may refer to a driving signal used for touch detection of a touch display screen.
  • Fig. 9 is a schematic flowchart of a fingerprint identification method. The method includes steps S810 to S870.
  • the touch display screen collects touch information of the object.
  • the touch screen can also send the touch information of the object to the processor of the electronic device.
  • the processor of the electronic device may determine whether the object is a human finger according to the touch information. In the case where the object is determined to be a human finger, step S840 is entered to trigger the fingerprint recognition device to perform fingerprint image collection; in the case where it is determined that the object is not a human finger, step S820 is returned to re-collect the touch information of the object.
  • the fingerprint identification device collects fingerprint image information of the object.
  • the fingerprint identification device can also send the collected fingerprint image information to the processor of the electronic device.
  • the processor of the electronic device may compare the fingerprint image information of the object with the stored fingerprint image information, and determine whether the fingerprint of the object is the fingerprint of the user. If the fingerprint of the object is not the fingerprint of the user, return to step S840 to re-collect the fingerprint image information of the object; if the fingerprint of the object is the fingerprint of the user, the fingerprint authentication is successful, and step S860 is entered.
  • Fig. 10 shows a schematic flowchart of another fingerprint identification process. The difference from FIG. 9 is that this method performs fingerprint image collection and touch information collection in a parallel manner, and the method includes steps S910 to S970.
  • S910 Determine whether to perform fingerprint recognition according to whether the object is pressed in the fingerprint recognition area. When the object is not pressed in the fingerprint recognition area, fingerprint recognition is not performed; when the object is pressed in the fingerprint recognition area, fingerprint recognition is started, and steps S920 and S930 are performed.
  • the fingerprint identification device collects fingerprint image information of the object.
  • the touch screen collects touch information of the object.
  • step S940 Determine whether the fingerprint of the object is the fingerprint of the user according to the fingerprint image information of the object. When the fingerprint of the object is not the fingerprint of the user, return to step 910 and restart the fingerprint identification process; when the fingerprint of the object is the fingerprint of the user, step S960 can be entered for comprehensive judgment.
  • S950 Determine whether the object is a human finger according to the touch information of the object.
  • S960 Perform a comprehensive judgment based on the judgment result of whether the object is a human finger and the judgment result of the fingerprint of the object to determine the fingerprint recognition result.
  • the fingerprint of the object is the fingerprint of the user and the user is a human finger
  • step S970 is entered. If the fingerprint authentication fails, return to step S910 to restart the fingerprint identification process.
  • step S960 for comprehensive judgment.
  • the embodiment of the present application can also enter step S960 for comprehensive judgment only when the object is a human finger. In the case that the object is not a human finger, return to step S910 and perform the fingerprint identification process again.
  • the embodiment of the present application may also specify the degree of dependence on touch data according to the usage scenario.
  • the capacitance value of the fingerprint recognition area can be read in a fast and low-precision way; while in payment, the accuracy of the capacitance value read can be increased by increasing the reading time, thereby improving the security of fingerprint recognition .
  • the method of comparing the difference ⁇ C1 with the first capacitance range can be used for fingerprint identification. This method has a faster authentication speed and can meet the user's requirements for unlocking time; and the change driver can be used when paying Frequency, the method of comparing the difference ⁇ C4 with the second capacitance range is used for fingerprint recognition. This method has a higher accuracy rate, so the fingerprint recognition has higher security and can meet the security requirements of users for payment scenarios.
  • FIG. 11 is a schematic structural diagram of an electronic device 1000 provided by an embodiment of the present application.
  • the electronic device 1000 has an under-screen fingerprint recognition function.
  • the electronic device 1000 may include a touch display screen 1010 that includes a fingerprint recognition area 1020.
  • the electronic device 1000 may further include a processor 1030 configured to perform the following operations: obtain capacitance information of the fingerprint identification area when the fingerprint identification area is pressed by an object; and determine the capacitance information according to the capacitance information. Whether the object is a human finger; when the object is a human finger, perform fingerprint recognition on the object.
  • the electronic device 1000 may further include a fingerprint identification device 1040, and the fingerprint identification device 1040 may be arranged under the touch display screen 1010, or the fingerprint identification device 1040 may be arranged inside the touch display screen 1010.
  • the fingerprint identification device 1040 can be used to collect fingerprint image information of the object when the object is a human finger.
  • the processor 1030 is also configured to obtain fingerprint image information collected by the fingerprint identification device 1040, and determine the fingerprint identification result according to the fingerprint image information.
  • the fingerprint identification device 1040 can also collect fingerprint image information of the object after determining that the object is pressed in the fingerprint identification area.
  • the processor 1030 may be used to obtain fingerprint image information of the object before determining that the object is a human finger, and determine the fingerprint recognition result according to the fingerprint image information.
  • the fingerprint recognition process in addition to judging the fingerprint image information of the object, it will also determine whether the object is a human finger. Only when the fingerprint of the object is the fingerprint of the user and the object is a human finger, Only then will the fingerprint recognition be determined to be successful, this method can enhance the security of fingerprint recognition.
  • this method uses the touch component of the touch display screen to perform fingerprint identification, and does not need to change or increase the structure of electronic equipment or fingerprint identification device. It can be compatible with different types of electronic equipment, save costs, and simplify the fingerprint identification process.
  • the processor 1030 is configured to compare the capacitance value of the fingerprint recognition area when the fingerprint recognition area is pressed by the object, and the fingerprint recognition when the fingerprint recognition area is not pressed by the object.
  • the difference ⁇ C1 between the capacitance values of the regions determines whether the object is a human finger.
  • the processor 1030 is configured to determine that the object is a human finger when the difference ⁇ C1 is within the first capacitance range.
  • the first capacitance range is obtained by training based on capacitance information obtained by the user in the process of enrolling fingerprints and/or fingerprint authentication.
  • the processor 1030 is configured to determine whether the object is a human finger according to the capacitance value of the fingerprint recognition area driven by the driving signal of at least two driving frequencies when the fingerprint recognition area is pressed by the object.
  • the at least two driving frequencies include a first driving frequency and a second driving frequency
  • the processor 1030 is configured to determine whether the object is based on the difference ⁇ C2 between the first capacitance value and the second capacitance value Is a human finger, wherein the first capacitance value is the capacitance value driven by the driving signal of the first driving frequency when the fingerprint recognition area is pressed by the object, and the second capacitance value is the fingerprint When the recognition area is pressed by the object, the capacitance value under the driving signal of the second driving frequency.
  • the processor 1030 is configured to determine that the object is a human finger when the difference ⁇ C2 is within the second capacitance range.
  • the second capacitance range is obtained by training based on capacitance information obtained by the user in the process of enrolling fingerprints and/or during fingerprint authentication.
  • the fingerprint image information is generated by the fingerprint identification device according to the light signal reflected or scattered by the object.
  • the touch display screen 1010 may be a self-luminous display, such as an OLED display, or a non-self-luminous display, such as a liquid crystal display (LCD) screen.
  • a self-luminous display such as an OLED display
  • a non-self-luminous display such as a liquid crystal display (LCD) screen.
  • LCD liquid crystal display
  • optical fingerprint sensor in the embodiments of the present application may represent an optical fingerprint sensor chip.
  • the technical solutions of the embodiments of the present application can be embodied in the form of software products in essence or the parts that contribute to the prior art or the parts of the technical solutions, and the computer software products are stored in a storage medium.
  • Including several instructions to enable 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 disk, mobile hard disk, read-only memory, random access memory, magnetic disk or optical disk and other media that can store program codes.
  • the division of units or modules or components in the device embodiments described above is only a logical function division, and there may be other divisions in actual implementation.
  • multiple units or modules or components can be combined or integrated.
  • To another system, or some units or modules or components can be ignored or not executed.
  • the units/modules/components described as separate/display components may or may not be physically separated, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units/modules/components may be selected according to actual needs to achieve the objectives of the embodiments of the present application.

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Abstract

La présente invention concerne un procédé de reconnaissance d'empreintes digitales et un dispositif électronique permettant d'améliorer la sécurité de la reconnaissance d'empreintes digitales sur un écran. Le procédé de reconnaissance d'empreintes digitales est appliqué à un dispositif électronique doté d'un écran d'affichage tactile, l'écran d'affichage tactile comprenant une zone de reconnaissance d'empreintes digitales. Le procédé comprend les étapes consistant à : acquérir des informations de capacité d'une zone de reconnaissance d'empreintes digitales lorsque la zone de reconnaissance d'empreintes digitales est pressée par un objet ; déterminer, en fonction des informations de capacité, si l'objet est un doigt humain ; et lorsque l'objet est un doigt humain, effectuer une identification d'empreintes digitales sur l'objet.
PCT/CN2019/085057 2019-04-29 2019-04-29 Procédé de reconnaissance d'empreintes digitales et dispositif électronique WO2020220223A1 (fr)

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