WO2023284832A1 - Optical fingerprint recognition apparatus, optical fingerprint recognition method, and electronic device - Google Patents

Optical fingerprint recognition apparatus, optical fingerprint recognition method, and electronic device Download PDF

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Publication number
WO2023284832A1
WO2023284832A1 PCT/CN2022/105747 CN2022105747W WO2023284832A1 WO 2023284832 A1 WO2023284832 A1 WO 2023284832A1 CN 2022105747 W CN2022105747 W CN 2022105747W WO 2023284832 A1 WO2023284832 A1 WO 2023284832A1
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WIPO (PCT)
Prior art keywords
light
finger
fingerprint
pixels
sensing
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PCT/CN2022/105747
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French (fr)
Chinese (zh)
Inventor
郑大峰
杨子东
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维沃移动通信有限公司
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Publication of WO2023284832A1 publication Critical patent/WO2023284832A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1365Matching; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/13Sensors therefor
    • G06V40/1318Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing

Definitions

  • the application belongs to the technical field of fingerprint identification, and in particular relates to an optical fingerprint identification device, an optical fingerprint identification method, and an electronic device.
  • Optical fingerprint recognition technology usually uses an appropriate light source to irradiate the finger, and the peaks and troughs of the finger reflect the light emitted by the light source, and the fingerprint image is determined according to the difference in the reflected light.
  • Optical fingerprint recognition technology usually uses an appropriate light source to irradiate the finger, and the peaks and troughs of the finger reflect the light emitted by the light source, and the fingerprint image is determined according to the difference in the reflected light.
  • criminals forge artificial fingerprints based on the texture information of fingerprints to pretend to be legitimate users for identity authentication, it will bring huge information security risks to users whose fingerprints are forged.
  • the light emitted by the light source is irradiated on the target fingerprint and reflected, and the reflected light is filtered by a filter and then irradiated to the photosensitive area, and the photosensitive area collects spectral information of the filtered reflected light. Since there is a huge difference between the spectral information of the light reflected from the skin of a living finger and the spectral information of the light reflected from an artificially forged fingerprint, it is possible to distinguish whether the target fingerprint is a living fingerprint or an artificially forged fingerprint according to the spectral information of the reflected light.
  • FIG. 1 shows the structure of a photosensitive area of an optical fingerprint identification chip known to the applicant.
  • the photosensitive area 11 of the fingerprint chip 10 includes a pixel array composed of a plurality of color pixels 12 and a plurality of sensing pixels 13 .
  • the color pixel 12 includes: a microlens 121 , a color layer 122 below the microlens, a sensing circuit 123 below the color layer, and a silicon substrate 124 below the sensing circuit.
  • the color layers 122 thereof can be set to have different colors, usually red, green, and blue.
  • the light reflected from the finger where the target fingerprint is located passes through the microlens 121 and then irradiates onto the color layer 122 .
  • the light of the same color as the color layer 122 in the reflected light passes through this layer, irradiates on the sensing circuit 123 and is collected by the sensor on the sensing circuit, so as to obtain spectral information for the color.
  • Finger spectral information can be obtained by synthesizing spectral information for different colors collected by multiple pixels 12 of different colors.
  • the finger spectrum information can be used to judge whether the target fingerprint is a live fingerprint or an artificially forged fingerprint.
  • the sensing pixel 13 includes: a microlens 131 , a protective layer 132 under the microlens, a sensing circuit 133 under the protective layer, and a silicon substrate 134 under the sensing circuit.
  • the light reflected from the target fingerprint passes through the microlens 131 and the protective layer 132 and then irradiates onto the sensing circuit 132 and is collected by the sensor on the sensing circuit. Combining the optical signals collected by multiple sensing pixels 13 can obtain the texture information of the target fingerprint.
  • the fingerprint chip 10 can collect both the texture information and the spectrum information of the finger, so it has a certain ability to distinguish whether the target fingerprint is a living fingerprint.
  • this existing fingerprint chip has the following disadvantages.
  • the color layer of an existing color pixel is a photoresist coating that only allows light of a specific wavelength to pass through. Moreover, the colors of the color layer are limited, usually only including red, green, and blue. This results in a limited spectral range that can be identified by a single or even all color pixels, and sometimes even filters out the light of the optimal (for example, the highest light intensity) wavelength, resulting in poor quality of the synthesized finger spectrum.
  • FIG. 2C shows a schematic diagram of a spectral curve 200 detected by a conventional color pixel, from which it can be seen that when the reflected light passes through the color layer, most of the light will be absorbed by the color layer. Therefore, the sensor on the sensing circuit under the color layer cannot obtain sufficient energy to form a fingerprint road image within the exposure time range of the fingerprint chip. Therefore, the color pixels of the existing fingerprint chip cannot be used to detect the texture information of the target fingerprint. In other words, the photosensitive area of the existing fingerprint chip cannot actually detect the complete fingerprint road image, but the detected texture image needs to be repaired through post-processing software. This results in poor quality of the resulting fingerprint roadmap image.
  • An object of the present application is to provide an optical fingerprint identification device to solve or at least alleviate one or more of the above-mentioned deficiencies in the prior art.
  • Another object of the present application is to provide an optical fingerprint identification method to solve or at least alleviate one or more deficiencies in the above-mentioned prior art.
  • Another object of the present application is to provide an electronic device to solve or at least alleviate one or more of the above-mentioned deficiencies in the prior art.
  • an optical fingerprint identification device which includes: a photosensitive area, which is composed of an array of multiple pixels, and the multiple pixels include multiple color pixels.
  • the color pixel includes: a microlens; a light-absorbing layer located below the micro-lens, the light-absorbing layer being a photoelectric conversion material layer capable of absorbing light in a predetermined wavelength range and converting it into electrons; a sensing circuit located below the light-absorbing layer
  • the sensing circuit is provided with a sensor for collecting light passing through the light-absorbing layer; a silicon substrate is located under the sensing circuit; and an insulating layer is located between the light-absorbing layer and the sensing circuit.
  • an optical fingerprint identification method realized by the optical fingerprint identification device according to the present application.
  • the method includes a fingerprint entry step and a fingerprint identification step.
  • the fingerprint entry step includes: using the color pixels to collect reflected light from the first target finger, wherein light in a predetermined wavelength range in the reflected light is absorbed by the light-absorbing layer and converted into electrons, while light in the remaining wavelength range passes through passing through the light absorbing layer and being collected by the sensor of the sensing circuit; using the reflected light collected by the color pixels to generate first finger spectral information; and storing the first finger spectral information.
  • the fingerprint identification step includes: using the color pixels to collect reflected light from the second target finger, wherein light in a predetermined wavelength range in the reflected light is absorbed by the light-absorbing layer and converted into electrons, while light in the remaining wavelength range passes through pass through the light absorbing layer and be collected by the sensor of the sensing circuit; use the reflected light collected by the color pixels to generate second finger spectral information; combine the second finger spectral information with the stored comparing the spectrum information of the first finger; and when the two do not match, the second target finger is identified as invalid.
  • an electronic device which includes the optical fingerprint identification device according to the present application.
  • a readable storage medium on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the above-mentioned optical fingerprint identification method are realized.
  • a chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to realize the above-mentioned optical fingerprint Identify the steps of the method.
  • a computer program/program product is provided, the computer program/program product is stored in a non-volatile storage medium, and the program/program product is executed by at least one processor to implement the above The steps of the optical fingerprint identification method described above.
  • an electronic device configured to execute the steps of the above optical fingerprint identification method.
  • the light-absorbing layer is used to replace the photoresistive color layer in the traditional color pixel, so that the same color pixel can collect light in more wavelength ranges, and the finally collected light intensity is thus significantly improved.
  • the spectral curve detected according to the present application has higher light intensity in a wider wavelength range.
  • the light transmittance of the light-absorbing layer of the present application is far superior to that of traditional photoresistive color coatings. On the one hand, this can improve the quality of the collected spectral information.
  • the color pixels of the present application are not only suitable for obtaining finger spectral information, but also suitable for obtaining finger fingerprint information.
  • Fig. 1 shows the structure of a kind of optical fingerprint recognition chip
  • FIG. 2A is a schematic structural diagram of a color pixel in FIG. 1;
  • FIG. 2B is a schematic structural diagram of the sensor pixel in FIG. 1;
  • Fig. 2C is a schematic diagram of the spectrum curve detected by the color pixels in Fig. 2A;
  • Fig. 3 shows an optical fingerprint identification device according to an embodiment of the present application
  • Fig. 4 is a schematic structural diagram of the color pixel in Fig. 3;
  • Fig. 4A is a schematic diagram of the spectrum curve detected by the color pixels in Fig. 4.
  • FIG. 5 is a schematic structural diagram of the sensing pixel in FIG. 3;
  • Fig. 6 shows an optical fingerprint identification device according to another embodiment of the present application.
  • Fig. 7 shows an optical fingerprint identification device according to another embodiment of the present application.
  • Fig. 8 shows an optical fingerprint recognition method according to an embodiment of the present application
  • Fig. 9 shows a schematic diagram of the process of acquiring finger spectral information according to an embodiment of the present application.
  • FIG. 10A and FIG. 10B respectively show a fingerprint entry step and a fingerprint recognition step according to another embodiment of the present application
  • FIG. 11A and FIG. 11B respectively show a fingerprint entry step and a fingerprint recognition step according to yet another embodiment of the present application
  • FIG. 12A and FIG. 12B respectively show a fingerprint entry step and a fingerprint recognition step according to another embodiment of the present application.
  • FIG. 13 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
  • optical fingerprint identification device and method according to the present application will be described in detail below through specific embodiments and application scenarios with reference to the accompanying drawings.
  • FIG. 3 shows an optical fingerprint identification device 20 according to an embodiment of the present application, which may be, for example, an optical fingerprint identification chip.
  • the optical fingerprint identification device 20 includes a photosensitive area 21 composed of a plurality of pixel arrays.
  • the pixels in the photosensitive area 21 include a plurality of color pixels 22 .
  • each color pixel 22 may include: a microlens 221 , a light absorbing layer 222 under the microlens 221 , a sensing circuit 223 under the light absorbing layer 222 , and a silicon substrate 224 under the sensing circuit 223 .
  • a sensor such as a light receiver is disposed on the sensing circuit 223 for collecting the light transmitted from the light absorbing layer 222 .
  • the screen of the electronic device can be used as the light emitting unit, or a separate light emitting unit can also be provided.
  • the light-absorbing layer 222 is suitable for absorbing light in a specific wavelength range, for example, it can be made of a photoelectric conversion material layer for light in a specific wavelength range (band) using the principle of photoelectric conversion. This photoelectric conversion material layer has the ability to absorb light in this specific wavelength range and convert it into electrons.
  • optoelectronic materials for specific light bands can be added to the color solution in the form of dyes to form a color paint. Then, the color paint is applied to an appropriate position of the photosensitive region 21 , such as the sensing circuit 223 of the color pixel 22 , through the chip manufacturing process.
  • the color pixel 22 further includes an insulating layer 225 between the light absorbing layer 222 and the sensing circuit 223 , so as to prevent the electrons generated by the light absorbing layer 222 from interfering with the sensing circuit 223 .
  • FIG. 4A shows a schematic diagram of a spectral curve 400 detected by a color pixel according to an embodiment of the present application.
  • the spectral curve 400 detected according to the present application has higher light intensity in a wider wavelength range.
  • the light transmittance of the light absorbing layer of the present application is much better than that of the traditional photoresist color layer.
  • this can improve the quality of the collected spectral information.
  • the color pixels of the present application are not only suitable for obtaining finger spectral information, but also suitable for obtaining finger fingerprint information.
  • the pixels in the photosensitive area 21 may also include one or more sensing pixels 23 suitable for collecting fingerprint path information.
  • the sensing pixel 23 includes: a microlens 231 , a protection layer 232 under the microlens, a sensing circuit 233 under the protection layer, and a silicon substrate 234 under the sensing circuit.
  • the working principle of the sensing pixel 23 is similar to that of the existing sensing pixel 13 and will not be repeated here.
  • the color pixels 22 are arranged in the peripheral area of the photosensitive area 21 (for example, arranged in one or more rows), and the sensing pixels 23 are arranged in the middle area of the photosensitive area 21 .
  • the quality of the fingerprint path information obtained by using the pixels around the photosensitive area is low, and basically has no effect on the finger spectrum information.
  • This arrangement of the present application concentrates the sensing pixels suitable for obtaining fingerprint path information in the middle of the photosensitive area, and arranges the color pixels suitable for obtaining finger spectral information on the periphery of the photosensitive area, which substantially improves the quality of optical fingerprints. Identify the effective use area of the device.
  • the plurality of color pixels 22 are divided into a plurality of different types according to the wavelength range of light absorbed by their respective light absorbing layers 222 .
  • the light absorbing layers of the same type of color pixels absorb the same wavelength range of light, while the light absorbing layers of different types of color pixels absorb different wavelength ranges of light.
  • the color pixels 22 are divided into color pixels 22R (identified by R in the figure) for absorbing red light according to the wavelength range of the light absorbed by their respective light-absorbing layers 222.
  • the color pixel 22B (marked by B in the figure) for absorbing blue light
  • the color pixel 22G (marked by G in the figure) for absorbing green light
  • the color pixel 22Y (marked by Y in the figure) for absorbing yellow light .
  • the color pixels in the photosensitive area may have other arrangements, and may have more or less types and are not limited to the types mentioned herein.
  • different types of color pixels may be arranged alternately and/or at intervals. The arrangement of some or all of the pixels of multiple colors may follow a consistent pattern, or follow different patterns, or be arranged randomly.
  • FIG. 6 shows an optical fingerprint identification device 30 according to another embodiment of the present application, which includes a photosensitive area 31 composed of a plurality of pixel arrays.
  • the array of pixels is all composed of color pixels 32 .
  • the structure of the color pixel 32 is the same as that of the color pixel 22 described above, and will not be repeated here.
  • the optical fingerprint identification device 30 shown in FIG. 6 can use color pixels to collect finger spectral information and fingerprint path information. On the one hand, the acquisition ability of finger spectrum information and fingerprint path information is improved. On the other hand, the contradiction between the number of pixels for collecting finger spectrum information and the number of pixels for collecting fingerprint path information in the prior art is overcome.
  • the color pixels 32 are divided into color pixels 32R (identified by R in the figure) for absorbing red light according to the wavelength ranges of light absorbed by their respective light-absorbing layers, A color pixel 32B for absorbing blue light (marked by B in the figure), a color pixel 32G for absorbing green light (marked by G in the figure), and a color pixel 32Y for absorbing yellow light (marked by Y in the figure).
  • the color pixels in the photosensitive area may have other arrangements, and may have more or less types and are not limited to the types mentioned herein.
  • different types of color pixels may be arranged alternately and/or at intervals. The arrangement of some or all of the pixels of multiple colors may follow a consistent pattern, or follow different patterns, or be arranged randomly.
  • FIG. 7 shows an optical fingerprint identification device 40 according to yet another embodiment of the present application, which includes a photosensitive area 41 composed of an array of multiple color pixels 42 and multiple sensing pixels 43 .
  • the structures of the color pixels 42 and the sensing pixels 43 are the same as those of the color pixels 22 and the sensing pixels 23 described above, and will not be repeated here.
  • a plurality of color pixels 42 are dispersedly arranged in the pixel array of the photosensitive area 41 .
  • the light sensing area 41 is divided into a plurality of color sensing areas 41 a, and these color sensing areas 41 a are dispersedly arranged in the light sensing area 41 .
  • One or more color pixels 42 are arranged in each color sensing area 41a.
  • the sensing pixels 43 are arranged outside the color sensing area 41 a in the light sensing area 41 .
  • FIG. 7 a plurality of color pixels 42 are dispersedly arranged in the pixel array of the photosensitive area 41 .
  • the light sensing area 41 is divided into a plurality of color sensing areas 41 a, and these color sensing areas 41 a are dispersedly arranged in the light sensing area 41 .
  • One or more color pixels 42 are arranged in each color sensing area 41a.
  • the sensing pixels 43 are arranged outside the color sensing area 41 a in the light sensing area 41
  • each color sensing region 41a includes a color pixel 42R (identified by R in the figure) for absorbing red light, a color pixel 42B (identified by B in the figure) for absorbing blue light, A color pixel 42G for absorbing green light (marked by G in the figure), and a color pixel 42Y for absorbing yellow light (marked by Y in the figure).
  • the red, blue, green and yellow spectral information of the finger skin is collected at the same time, and the spectral curve of the finger skin is fitted by an algorithm; this scheme can effectively improve the skin spectrum when the fingerprint is pressed.
  • the finger and the working environment are relatively stable, so the reflection spectrum of the finger is relatively stable.
  • the color pixels are arranged in a dispersed manner, so that the fingers do not cover all the pixel arrays, and spectral information of the fingers meeting requirements can also be obtained.
  • the color pixels in the color sensing area may have other arrangements, and may have more or less types and are not limited to the types mentioned herein.
  • different color sensing areas may have the same or different numbers (even single), and/or the same or different types of color pixels.
  • the arrangement of some or all of the color pixels in the color sensing area may follow a consistent rule, or follow different rules, or be arranged randomly.
  • the arrangement of part or all of the color sensing areas in the photosensitive area can follow a consistent rule, or follow different rules, or be arranged randomly.
  • the optical fingerprint identification device in the embodiment of the present application may be a device, or a component, an integrated circuit, or a chip in a terminal.
  • the device may be a mobile electronic device or a non-mobile electronic device, or may be a part of a mobile electronic device or a non-mobile electronic device.
  • the mobile electronic device can be a mobile phone, a tablet computer, a notebook computer, a handheld computer, a vehicle electronic device, a wearable device, an ultra-mobile personal computer (Ultra-Mobile Personal Computer, UMPC), a netbook or a personal digital assistant (Personal Digital Assistant).
  • non-mobile electronic devices can be servers, network attached storage (Network Attached Storage, NAS), personal computer (Personal Computer, PC), television (Television, TV), teller machine or self-service machine, etc., this application Examples are not specifically limited.
  • Network Attached Storage NAS
  • PC Personal Computer
  • TV Television, TV
  • teller machine or self-service machine etc.
  • the optical fingerprint identification device in the embodiment of the present application may be a device with an operating system.
  • the operating system may be an Android (Android) operating system, an IOS operating system, or other possible operating systems, which are not specifically limited in this embodiment of the present application.
  • optical fingerprint identification method according to the present application will be described with reference to FIGS. 8-12B and in combination with the structure of the optical fingerprint identification device according to an embodiment of the present application. It should be understood that the optical fingerprint identification method of the present application is applicable to the optical fingerprint identification device according to other embodiments of the present application. According to the optical fingerprint identification method of the present application, its executing subject may be an electronic device, an optical fingerprint identification device, or a control module in the device for executing the method of the present application.
  • Fig. 8 shows an optical fingerprint recognition method according to an embodiment of the present application, including a fingerprint entry step (step S13) and a fingerprint recognition step (step S15).
  • the fingerprint entry step S13 includes: using color pixels 22 to collect reflected light from the user's target finger (ie, the first target finger) (step S131), wherein light in a predetermined wavelength range in the reflected light is absorbed by the light-absorbing layer and converted into electrons, while the light in the remaining wavelength ranges passes through the light-absorbing layer and is collected by the sensor of the induction circuit; then, the spectral information of the target finger is generated by using the collected reflected light, that is, the first finger spectral information (step S132); finally, Store the spectral information of the first finger (step S133).
  • Fingerprint identification step S15 includes: after fingerprint identification is started, use color pixels 22 to collect reflected light from the current target finger (i.e., second target finger) (step S151), wherein light in a predetermined wavelength range in the reflected light is captured by The light-absorbing layer absorbs and converts electrons, and the light in the remaining wavelength range passes through the light-absorbing layer and is collected by the sensor of the sensing circuit; then, the spectral information of the current finger is generated by using the collected reflected light, that is, the second finger spectral information (step S152); then, compare the second finger spectral information with the stored first finger spectral information (step S153); when the two do not match, the current target finger is identified as invalid (step S154), such as non Living finger/fingerprint, or artificially forged fingerprint; when the two match, follow-up processing (step S155).
  • step S151 After fingerprint identification is started, use color pixels 22 to collect reflected light from the current target finger (i.e., second target finger) (step S151), wherein
  • Existing fingerprint entry methods generally include multiple entries, that is, fingers are lifted and lowered repeatedly.
  • the step S131 of using color pixels to collect reflected light from the first target finger may include multiple collections, one collection for each entry.
  • the spectral information of the reflected light obtained from each collection is fitted to obtain the spectral information of the first finger.
  • Fig. 9 shows a schematic diagram of a process of acquiring finger spectrum information according to an embodiment of the present application.
  • the finger and the working environment are relatively stable, so the reflection spectrum of the finger is relatively stable.
  • the light rays reaching the light-absorbing layers of each color have a spectrum of 500, for example.
  • the light rays passing through the light-absorbing layers of the color pixels 22R, 22Y, and 22G have spectra 510, 520, and 530, respectively.
  • the spectra collected by pixels of different colors are considered comprehensively, and finally the finger spectrum curve 590 is formed by fitting.
  • the obtained finger spectral curve 590 has a higher degree of recognition in a larger wavelength range. Taking multiple acquisitions into consideration, the resulting finger spectrum curve has a higher degree of recognition and greater intensity.
  • an optional or alternative fingerprint entry step S23 is provided, as shown in FIG. 10A, which adds the method of using color pixels to enter the fingerprint path on the basis of the fingerprint entry step S13 described above.
  • information process includes: using the reflected light collected by the color pixel 22 in step S131 to generate at least part of the user's fingerprint path information, that is, the first fingerprint path information (step S231); then, storing the generated second fingerprint path information.
  • One-fingerprint road information step S232.
  • the light transmittance of the color pixel of the present application is still lower than that of the sensing pixel (the protective layer of the sensing pixel may not cause loss of light transmittance).
  • the transmittance loss caused by the light-absorbing layer of the color pixel can be compensated, for example, by a software algorithm.
  • the light transmittance of the color pixel with the light absorbing layer can be measured first, and then the ratio between the light transmittance of the color pixel with the light absorbing layer and the light transmittance of the pixel without the light absorbing layer can be determined, and then The light intensity collected by the corresponding color pixel is amplified correspondingly by using the ratio.
  • the image information collected by the color pixels can be enhanced to further optimize the imaging effect of the color pixels.
  • the light transmittance of the color pixels of the present application may be compensated by any known compensation scheme. Through compensation, the difference in light transmittance among the color pixels and between the color pixels and the sensing pixels is weakened or even eliminated.
  • the present application provides an optional or alternative fingerprint recognition step S25, as shown in FIG. 10B , which adds the method of using color pixels to recognize fingerprint path information on the basis of the fingerprint recognition step S15 described above. process. Specifically, it includes: using the reflected light collected by the color pixel 22 in step S151 to generate at least part of the fingerprint path information, that is, the second fingerprint path information (step S251); The fingerprint path information is compared with the stored first fingerprint path information (step S252). When the two do not match, the second target finger is identified as invalid (step S253), such as a non-living finger/fingerprint, or an artificially forged fingerprint.
  • step S153 After comparing in step S153, it is judged that the second finger spectrum information matches the stored first finger spectrum information, and after comparing in step S252, it is judged that the second finger fingerprint path information matches the stored first finger fingerprint path information. When the information matches, the second target finger is recognized as valid (step S254). In this way, by using the color pixels of the present application, not only the input and identification of finger spectral information, but also the input and identification of finger fingerprint information can be realized.
  • another optional or alternative fingerprint entry step S33 is provided, as shown in FIG. 11A , which increases the use of sensing pixels 23
  • the process of entering fingerprint information includes: using the sensing pixels 23 to collect reflected light from the first target finger (step S331); then, using the collected reflected light to generate at least part of the fingerprint path information of the first finger (step S332); finally, Store the generated first finger fingerprint path information (step S333).
  • the present application provides an optional or alternative fingerprint recognition step S35, as shown in FIG. 11B , which adds the method of using sensing pixels to recognize fingerprint path information on the basis of the fingerprint recognition step S15 described above. process. Specifically, it includes: using the sensing pixels 23 to collect reflected light from the second target finger (step S351); then, using the collected reflected light to generate at least part of the fingerprint path information of the second finger (step S352); then, Comparing the generated path information of the second fingerprint with the stored path information of the first fingerprint (step S353). When the two do not match, the second target finger is identified as invalid (step S354), such as a non-living finger/fingerprint, or artificially forged fingerprint.
  • step S153 After comparing in step S153, it is determined that the second finger spectrum information matches the stored first finger spectrum information, and in step S353, it is determined that the second finger fingerprint path information matches the stored first finger fingerprint path information When matched, the second target finger is recognized as valid (step S355).
  • an optional or alternative fingerprint entry step S43 is provided, as shown in FIG. 12A , which increases the use of color pixels 22 and
  • the sensing pixels 23 jointly record the process of fingerprint path information. Specifically, it includes: using the sensing pixel 23 to collect reflected light from the first target finger (step S431); The reflected light is fitted to generate the first fingerprint path information (step S432); finally, the generated first fingerprint path information is stored (step S433).
  • the present application provides an optional or alternative fingerprint recognition step S45, as shown in FIG. 12B , which adds the use of color pixels 22 and sensing pixels 23 on the basis of the previously described fingerprint recognition step S15.
  • the process of identifying fingerprint information includes: using the sensing pixel 23 to collect reflected light from the second target finger (step S451); The collected reflected light is fitted to generate second fingerprint path information (step S452); then, the generated second fingerprint path information is compared with the stored first fingerprint path information (step S453). When the two do not match, the second target finger is identified as invalid (step S454), such as a non-living finger/fingerprint, or an artificially forged fingerprint.
  • step S453 When it is judged that the second finger spectrum information matches the stored first finger spectrum information after the comparison in step S153, and when it is judged that the second finger fingerprint path information matches the stored first finger fingerprint path information after the step S453 comparison , the second target finger is recognized as valid (step S455).
  • the present application also provides an electronic device including the above-mentioned optical fingerprint identification device.
  • electronic devices include but are not limited to mobile phones, tablet computers, notebook computers, palmtop computers, vehicle terminals, wearable devices (such as bracelets, glasses), and pedometers.
  • the electronic device may also be a television, a set-top box, a desktop computer, a computer monitor integrated with a computer, or other suitable electronic devices.
  • Fig. 13 shows a schematic diagram of a hardware structure of an electronic device 900 according to an embodiment of the present application.
  • the electronic device 900 includes but not limited to: a radio frequency unit 901, a network module 902, an audio output unit 903, an input unit 904, a sensor 905, a display unit 906, a user input unit 907, an interface unit 908, a memory 909, a processor 910, and according to
  • the optical fingerprint identification device of the present application is, for example, the optical fingerprint identification device 20 .
  • the radio frequency unit 901 can be used for receiving and sending signals during sending and receiving information or during a call. Specifically, the downlink data from the base station is received and processed by the processor 910; Uplink data is sent to the base station.
  • the radio frequency unit 901 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.
  • the radio frequency unit 901 can also communicate with the network and other devices through a wireless communication system.
  • the electronic device provides users with wireless broadband Internet access through the network module 902, such as helping users send and receive emails, browse web pages, and access streaming media.
  • the audio output unit 903 may convert audio data received by the radio frequency unit 901 or the network module 902 or stored in the memory 909 into an audio signal and output as sound. Also, the audio output unit 903 may also provide audio output (eg, call signal reception sound, message reception sound, etc.) related to a specific function performed by the electronic device 900 .
  • the audio output unit 903 includes a speaker, a buzzer, a receiver, and the like.
  • the input unit 904 is used to receive audio or video signals. It should be understood that, in the embodiment of the present application, the input unit 904 may include a graphics processor (Graphics Processing Unit, GPU) 9041 and a microphone 9042, and the graphics processor 9041 is used for the image capture device (such as the image data of the still picture or video obtained by the camera) for processing.
  • a graphics processor Graphics Processing Unit, GPU
  • the graphics processor 9041 is used for the image capture device (such as the image data of the still picture or video obtained by the camera) for processing.
  • the electronic device 900 also includes at least one sensor 905, such as a light sensor, a motion sensor, and other sensors.
  • the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 9061 according to the brightness of the ambient light, and the proximity sensor can turn off the display panel 9061 and the / or backlighting.
  • the accelerometer sensor can detect the magnitude of acceleration in various directions (usually three axes), and can detect the magnitude and direction of gravity when it is stationary, and can be used to identify the attitude of electronic equipment () such as horizontal and vertical screen switching, related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, knocking), etc.; sensor 905 can also include fingerprint sensor, pressure sensor, iris sensor, molecular sensor, gyroscope, barometer, hygrometer, thermometer , infrared sensor, etc., which will not be repeated here.
  • the display unit 906 is used to display information input by the user or information provided to the user.
  • the display unit 906 may include a display panel 9061, and the display panel 9061 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), an organic light-emitting diode (Organic Light-Emitting Diode, OLED), or the like.
  • LCD Liquid Crystal Display
  • OLED Organic Light-Emitting Diode
  • the user input unit 907 can be used to receive input numbers or character information, and generate key signal input related to user settings and function control of the electronic device.
  • the user input unit 907 includes a touch panel 9071 and other input devices 9072 .
  • the touch panel 9071 also referred to as a touch screen, can collect the user's touch operations on or near it (for example, the user uses any suitable object or accessory such as a finger, a stylus, etc. on the touch panel 9071 or near the touch panel 9071 operate).
  • the touch panel 9071 may include two parts, a touch detection device and a touch controller.
  • Other input devices 9072 may include, but are not limited to, physical keyboards, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, and joysticks, which will not be repeated here.
  • the interface unit 908 is an interface for connecting an external device to the electronic device 900 .
  • an external device may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device with an identification module, audio input/output (I/O) ports, video I/O ports, headphone ports, and more.
  • the interface unit 908 can be used to receive input from an external device (for example, data information, power, etc.) Transfer data between external devices.
  • the memory 909 can be used to store software programs as well as various data.
  • the memory 909 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program required by a function (such as a sound playback function, an image playback function, etc.); Data created by the use of mobile phones (such as audio data, phonebook, etc.), etc.
  • the memory 909 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.
  • the processor 910 is the control center of the electronic device, and uses various interfaces and lines to connect various parts of the entire electronic device, by running or executing software programs and/or modules stored in the memory 909, and calling data stored in the memory 909 , to perform various functions of the electronic equipment and process data, so as to monitor the electronic equipment as a whole.
  • the processor 910 may include one or more processing units; preferably, the processor 910 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface and application programs, etc., and the modem
  • the processor mainly handles wireless communication. It can be understood that the foregoing modem processor may not be integrated into the processor 910 .
  • the electronic device 900 can also include a power supply (such as a battery) for supplying power to various components, and the power supply can be logically connected to the processor 910 through the power management system, so that the management of charging, discharging, and function can be realized through the power management system. Consumption management and other functions.
  • a power supply such as a battery
  • the structure of the electronic device shown in FIG. 13 does not constitute a limitation to the electronic device of the present application.
  • the electronic device according to the present application may include more or fewer components than shown in the illustration, or combine certain components, or arrange different components, I won't repeat them here.
  • the present application also provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, each process of the above embodiment of the optical fingerprint identification method can be realized, and the same To avoid repetition, the technical effects will not be repeated here.
  • the processor is the processor in the electronic device described in the above embodiments.
  • the readable storage medium includes computer readable storage medium, such as computer read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.
  • the present application also provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to realize the above-mentioned optical fingerprint identification method embodiments. process, and can achieve the same technical effect, in order to avoid repetition, it will not be repeated here.
  • chips mentioned in the embodiments of the present application may also be called system-on-chip, system-on-chip, system-on-a-chip, or system-on-a-chip.
  • the present application also provides a computer program product, the computer program product is stored in a non-volatile storage medium, and the computer program product is executed by at least one processor to implement the processes of the above optical fingerprint identification method embodiments, And can achieve the same technical effect, in order to avoid repetition, no more details here.
  • the present application also provides an electronic device, which is configured to execute the various processes of the above-mentioned optical fingerprint identification method embodiment, and can achieve the same technical effect. To avoid repetition, details are not repeated here.
  • the term “comprising”, “comprising” or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase “comprising a " does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element.
  • the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions are performed, for example, the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
  • the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation.
  • the technical solution of the present application can be embodied in the form of a software product in essence or the part that contributes to the prior art, and the computer software product is stored in a storage medium (such as ROM/RAM, disk, CD) contains several instructions to enable a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in various embodiments of the present application.
  • a terminal which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.

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Abstract

An optical fingerprint recognition apparatus, an optical fingerprint recognition method, and an electronic device. The optical fingerprint identification apparatus comprises: a light sensing region, consisting of an array of a plurality of pixels, the plurality of pixels comprising a plurality of color pixels (22). Each color pixel (22) comprises: a microlens (221); a light absorbing layer (222) located below the microlens (221) and adapted to absorb light in a specific wavelength range, wherein the light absorbing layer (222) is a photoelectric conversion material layer capable of absorbing light in a determined wavelength range and converting the light into electrons; a sensing circuit (223) located below the light absorbing layer (222), a sensor being disposed on the sensing circuit (223) and configured to collect light transmitted from the light absorbing layer (222); a silicon substrate (224) located below the sensing circuit (223); and an insulating layer (225) located between the light absorbing layer (222) and the sensing circuit (223).

Description

光学指纹识别装置、光学指纹识别方法以及电子设备Optical fingerprint identification device, optical fingerprint identification method, and electronic equipment
相关申请的交叉引用Cross References to Related Applications
本申请主张在2021年07月16日在中国提交的中国专利申请No.202110805412.2的优先权,其全部内容通过引用包含于此。This application claims priority to Chinese Patent Application No. 202110805412.2 filed in China on July 16, 2021, the entire contents of which are hereby incorporated by reference.
技术领域technical field
本申请属于指纹识别技术领域,尤其涉及一种光学指纹识别装置、一种光学指纹识别方法、以及一种电子设备。The application belongs to the technical field of fingerprint identification, and in particular relates to an optical fingerprint identification device, an optical fingerprint identification method, and an electronic device.
背景技术Background technique
目前手机已经成为普遍性消费类电子产品。随着全面屏技术的发展,屏下光学指纹识别技术得到了广泛应用。光学指纹识别技术通常采用适当的光源对手指进行照射,手指的波峰和波谷对光源发出的光进行反射,根据反射光的差异确定指纹图像。然而,一旦有不法分子根据指纹的纹路信息伪造出人工指纹假冒合法用户进行身份认证,会给被伪造指纹的用户带来了巨大的信息安全风险。At present, mobile phones have become a universal consumer electronics product. With the development of full-screen technology, under-screen optical fingerprint recognition technology has been widely used. Optical fingerprint recognition technology usually uses an appropriate light source to irradiate the finger, and the peaks and troughs of the finger reflect the light emitted by the light source, and the fingerprint image is determined according to the difference in the reflected light. However, once criminals forge artificial fingerprints based on the texture information of fingerprints to pretend to be legitimate users for identity authentication, it will bring huge information security risks to users whose fingerprints are forged.
目前,已知一种辨别人工伪造指纹的方法。在该方法中,光源发出的光线照射到目标指纹上并反射,反射光线经滤光片滤光后照射到光感应区,光感应区采集滤光后的反射光线的光谱信息。由于反射自活体手指皮肤的光线的光谱信息与反射自人工伪造指纹的光线的光谱信息存在巨大差异,因此根据反射光线的光谱信息可以分辨出目标指纹是活体指纹还是人工伪造指纹。Currently, a method for identifying artificially forged fingerprints is known. In this method, the light emitted by the light source is irradiated on the target fingerprint and reflected, and the reflected light is filtered by a filter and then irradiated to the photosensitive area, and the photosensitive area collects spectral information of the filtered reflected light. Since there is a huge difference between the spectral information of the light reflected from the skin of a living finger and the spectral information of the light reflected from an artificially forged fingerprint, it is possible to distinguish whether the target fingerprint is a living fingerprint or an artificially forged fingerprint according to the spectral information of the reflected light.
图1示出了申请人已知的一种光学指纹识别芯片的光感应区的构造。如图1所示,指纹芯片10的光感应区11包括由多个颜色像素12和多个感应像素13构成的像素阵列。FIG. 1 shows the structure of a photosensitive area of an optical fingerprint identification chip known to the applicant. As shown in FIG. 1 , the photosensitive area 11 of the fingerprint chip 10 includes a pixel array composed of a plurality of color pixels 12 and a plurality of sensing pixels 13 .
参考图2A,颜色像素12包括:微透镜121、位于微透镜下方的颜色层122、位于颜色层下方的感应电路123、以及位于感应电路下方的硅基板124。对于不同的颜色像素12,其颜色层122可以设置成具有不同的颜色,通常为红色、绿色、蓝色这三种。从目标指纹所在的手指反射回的光线经过微透镜121后照射到颜色层122上。反射光线中与颜色层122的颜色相同的光线通 过该层,照射到感应电路123上并被感应电路上的传感器采集,从而得到针对该颜色的光谱信息。将多个不同颜色像素12所采集到的针对不同颜色的光谱信息进行合成,即可得到手指光谱信息。该手指光谱信息可用于判断目标指纹是否为活体指纹或是人工伪造指纹。Referring to FIG. 2A , the color pixel 12 includes: a microlens 121 , a color layer 122 below the microlens, a sensing circuit 123 below the color layer, and a silicon substrate 124 below the sensing circuit. For pixels 12 of different colors, the color layers 122 thereof can be set to have different colors, usually red, green, and blue. The light reflected from the finger where the target fingerprint is located passes through the microlens 121 and then irradiates onto the color layer 122 . The light of the same color as the color layer 122 in the reflected light passes through this layer, irradiates on the sensing circuit 123 and is collected by the sensor on the sensing circuit, so as to obtain spectral information for the color. Finger spectral information can be obtained by synthesizing spectral information for different colors collected by multiple pixels 12 of different colors. The finger spectrum information can be used to judge whether the target fingerprint is a live fingerprint or an artificially forged fingerprint.
参考图2B,感应像素13包括:微透镜131、位于微透镜下方的保护层132、位于保护层下方的感应电路133、以及位于感应电路下方的硅基板134。从目标指纹反射回的光线经过微透镜131和保护层132后照射到感应电路132上并被感应电路上的传感器采集。综合多个感应像素13采集到的光学信号可以得到目标指纹的纹路信息。Referring to FIG. 2B , the sensing pixel 13 includes: a microlens 131 , a protective layer 132 under the microlens, a sensing circuit 133 under the protective layer, and a silicon substrate 134 under the sensing circuit. The light reflected from the target fingerprint passes through the microlens 131 and the protective layer 132 and then irradiates onto the sensing circuit 132 and is collected by the sensor on the sensing circuit. Combining the optical signals collected by multiple sensing pixels 13 can obtain the texture information of the target fingerprint.
指纹芯片10能够采集手指的纹路信息以及光谱信息两者,从而具有一定的分辨目标指纹是否是活体指纹的能力。然而,这种现有的指纹芯片存在以下不足。The fingerprint chip 10 can collect both the texture information and the spectrum information of the finger, so it has a certain ability to distinguish whether the target fingerprint is a living fingerprint. However, this existing fingerprint chip has the following disadvantages.
现有的颜色像素的颜色层为光阻性涂层,只允许特定波长的光线透过。并且颜色层的颜色有限,通常仅包括红色、绿色、蓝色这三种。这导致单个甚至全部颜色像素能够识别的光谱范围有限,甚至有时会将最优(例如光强最高的)波长的光过滤掉,导致合成的手指光谱的质量较差。The color layer of an existing color pixel is a photoresist coating that only allows light of a specific wavelength to pass through. Moreover, the colors of the color layer are limited, usually only including red, green, and blue. This results in a limited spectral range that can be identified by a single or even all color pixels, and sometimes even filters out the light of the optimal (for example, the highest light intensity) wavelength, resulting in poor quality of the synthesized finger spectrum.
此外,现有的颜色层通常为光阻性材料,仅允许特定波段的光透过,因而光透性较差。图2C示出了利用一种现有的颜色像素检测到的光谱曲线200的示意图,从中可以看出,反射光线在通过颜色层时,大部分光会被颜色层吸收掉。因此,颜色层下方的感应电路上的传感器在指纹芯片的曝光时间范围内无法得到充足的能量以形成手指纹路图像。因此,现有指纹芯片的颜色像素不能用来检测目标指纹的纹路信息。换句话说,现有指纹芯片的光感应区不能实际检测出完整的手指纹路图像,而是需要对检测到的纹路图像通过后期软件处理进行修复。这导致得到的手指纹路图像的质量较差。In addition, the existing color layer is usually a photoresist material, which only allows light in a specific wavelength band to pass through, so the light transmittance is poor. FIG. 2C shows a schematic diagram of a spectral curve 200 detected by a conventional color pixel, from which it can be seen that when the reflected light passes through the color layer, most of the light will be absorbed by the color layer. Therefore, the sensor on the sensing circuit under the color layer cannot obtain sufficient energy to form a fingerprint road image within the exposure time range of the fingerprint chip. Therefore, the color pixels of the existing fingerprint chip cannot be used to detect the texture information of the target fingerprint. In other words, the photosensitive area of the existing fingerprint chip cannot actually detect the complete fingerprint road image, but the detected texture image needs to be repaired through post-processing software. This results in poor quality of the resulting fingerprint roadmap image.
另一方面,对于指纹芯片的有限的光感应区而言,颜色像素和感应像素的数量分配之间存在矛盾。为了获得更好的手指光谱,通常希望布置更多的颜色像素。而为了获得更完整的手指纹路图像,通常希望布置更多的感应像素。找到上述两者之间的适合的折中往往是困难的。On the other hand, for the limited photosensitive area of the fingerprint chip, there is a contradiction between the number allocation of color pixels and sensing pixels. In order to obtain a better finger spectrum, it is generally desirable to arrange more color pixels. In order to obtain a more complete fingerprint image, it is generally desirable to arrange more sensing pixels. Finding a suitable compromise between the above two is often difficult.
发明内容Contents of the invention
本申请的一个目的是提供一种光学指纹识别装置,以解决或者至少减轻上述现有技术中的一个或多个不足。An object of the present application is to provide an optical fingerprint identification device to solve or at least alleviate one or more of the above-mentioned deficiencies in the prior art.
本申请的另一个目的是提供一种光学指纹识别方法,以解决或者至少减轻上述现有技术中的一个或多个不足。Another object of the present application is to provide an optical fingerprint identification method to solve or at least alleviate one or more deficiencies in the above-mentioned prior art.
本申请的再一个目的是提供一种电子设备,以解决或者至少减轻上述现有技术中的一个或多个不足。Another object of the present application is to provide an electronic device to solve or at least alleviate one or more of the above-mentioned deficiencies in the prior art.
为了解决上述技术问题,根据本申请的一个方面,提供了一种光学指纹识别装置,其包括:光感应区,由多个像素的阵列构成,所述多个像素包括多个颜色像素。所述颜色像素包括:微透镜;吸光层,位于所述微透镜下方,所述吸光层是能够吸收预定波长范围的光并转换为电子的光电转换材料层;感应电路,位于所述吸光层下方,所述感应电路上设置有传感器,用于采集从所述吸光层透过的光;硅基板,位于所述感应电路下方;以及绝缘层,位于所述吸光层和所述感应电路之间。In order to solve the above technical problem, according to one aspect of the present application, an optical fingerprint identification device is provided, which includes: a photosensitive area, which is composed of an array of multiple pixels, and the multiple pixels include multiple color pixels. The color pixel includes: a microlens; a light-absorbing layer located below the micro-lens, the light-absorbing layer being a photoelectric conversion material layer capable of absorbing light in a predetermined wavelength range and converting it into electrons; a sensing circuit located below the light-absorbing layer The sensing circuit is provided with a sensor for collecting light passing through the light-absorbing layer; a silicon substrate is located under the sensing circuit; and an insulating layer is located between the light-absorbing layer and the sensing circuit.
根据本申请的一个方面,还提供了一种利用根据本申请的光学指纹识别装置实现的光学指纹识别方法。所述方法包括指纹录入步骤和指纹识别步骤。指纹录入步骤包括:利用所述颜色像素采集来自第一目标手指的反射光,其中所述反射光中的预定波长范围的光被所述吸光层吸收并转换为电子,而其余波长范围的光穿过所述吸光层并由所述感应电路的所述传感器进行采集;利用由所述颜色像素采集到的反射光产生第一手指光谱信息;和存储所述第一手指光谱信息。指纹识别步骤包括:利用所述颜色像素采集来自第二目标手指的反射光,其中所述反射光中的预定波长范围的光被所述吸光层吸收并转换为电子,而其余波长范围的光穿过所述吸光层并由所述感应电路的所述传感器进行采集;利用由所述颜色像素采集到的反射光产生第二手指光谱信息;将所述第二手指光谱信息与已存储的所述第一手指光谱信息进行比对;和当两者不匹配时,所述第二目标手指被识别为无效。According to one aspect of the present application, there is also provided an optical fingerprint identification method realized by the optical fingerprint identification device according to the present application. The method includes a fingerprint entry step and a fingerprint identification step. The fingerprint entry step includes: using the color pixels to collect reflected light from the first target finger, wherein light in a predetermined wavelength range in the reflected light is absorbed by the light-absorbing layer and converted into electrons, while light in the remaining wavelength range passes through passing through the light absorbing layer and being collected by the sensor of the sensing circuit; using the reflected light collected by the color pixels to generate first finger spectral information; and storing the first finger spectral information. The fingerprint identification step includes: using the color pixels to collect reflected light from the second target finger, wherein light in a predetermined wavelength range in the reflected light is absorbed by the light-absorbing layer and converted into electrons, while light in the remaining wavelength range passes through pass through the light absorbing layer and be collected by the sensor of the sensing circuit; use the reflected light collected by the color pixels to generate second finger spectral information; combine the second finger spectral information with the stored comparing the spectrum information of the first finger; and when the two do not match, the second target finger is identified as invalid.
根据本申请一个方面,提供了一种电子设备,其包括根据本申请的光学指纹识别装置。According to one aspect of the present application, an electronic device is provided, which includes the optical fingerprint identification device according to the present application.
根据本申请一个方面,提供了一种可读存储介质,所述可读存储介质上 存储程序或指令,所述程序或指令被处理器执行时实现如上所述的光学指纹识别方法的步骤。According to one aspect of the present application, a readable storage medium is provided, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the above-mentioned optical fingerprint identification method are realized.
根据本申请一个方面,提供了一种芯片,所述芯片包括处理器和通信接口,所述通信接口和所述处理器耦合,所述处理器用于运行程序或指令,实现如上所述的光学指纹识别方法的步骤。According to one aspect of the present application, a chip is provided, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to realize the above-mentioned optical fingerprint Identify the steps of the method.
根据本申请一个方面,提供了一种计算机程序/程序产品,所述计算机程序/程序产品被存储在非易失的存储介质中,所述程序/程序产品被至少一个处理器执行以实现如上所述的光学指纹识别方法的步骤。According to one aspect of the present application, a computer program/program product is provided, the computer program/program product is stored in a non-volatile storage medium, and the program/program product is executed by at least one processor to implement the above The steps of the optical fingerprint identification method described above.
根据本申请一个方面,提供了一种电子设备,被配置为执行如上所述的光学指纹识别方法的步骤。According to one aspect of the present application, there is provided an electronic device configured to execute the steps of the above optical fingerprint identification method.
本申请利用吸光层取代了传统颜色像素中的光阻性颜色层,使得同一个颜色像素能够采集更多波长范围内的光,最终采集到的光照强度因此得到了明显提升。与传统颜色像素检测到的光谱曲线相比,根据本申请检测到光谱曲线在更宽的波长范围内具有更高的光照强度。换句话说,本申请吸光层的透光率远远优于传统的光阻性颜色涂层。这一方面能够提高了采集到的光谱信息质量,另一方面,利用本申请的颜色像素除了适于得到手指光谱信息之外还适于得到手指纹路信息。In this application, the light-absorbing layer is used to replace the photoresistive color layer in the traditional color pixel, so that the same color pixel can collect light in more wavelength ranges, and the finally collected light intensity is thus significantly improved. Compared with the spectral curve detected by conventional color pixels, the spectral curve detected according to the present application has higher light intensity in a wider wavelength range. In other words, the light transmittance of the light-absorbing layer of the present application is far superior to that of traditional photoresistive color coatings. On the one hand, this can improve the quality of the collected spectral information. On the other hand, the color pixels of the present application are not only suitable for obtaining finger spectral information, but also suitable for obtaining finger fingerprint information.
附图说明Description of drawings
下面结合附图和详细实施方式对本申请进行详细说明,其中:The present application will be described in detail below in conjunction with the accompanying drawings and detailed implementation methods, wherein:
图1示出了一种光学指纹识别芯片的构造;Fig. 1 shows the structure of a kind of optical fingerprint recognition chip;
图2A为图1中的颜色像素的结构示意图;FIG. 2A is a schematic structural diagram of a color pixel in FIG. 1;
图2B为图1中的感应像素的结构示意图;FIG. 2B is a schematic structural diagram of the sensor pixel in FIG. 1;
图2C为利用图2A中的颜色像素检测到的光谱曲线示意图;Fig. 2C is a schematic diagram of the spectrum curve detected by the color pixels in Fig. 2A;
图3示出了根据本申请一实施例的光学指纹识别装置;Fig. 3 shows an optical fingerprint identification device according to an embodiment of the present application;
图4为图3中颜色像素的结构示意图;Fig. 4 is a schematic structural diagram of the color pixel in Fig. 3;
图4A为利用图4中的颜色像素检测到的光谱曲线示意图;Fig. 4A is a schematic diagram of the spectrum curve detected by the color pixels in Fig. 4;
图5为图3中感应像素的结构示意图;FIG. 5 is a schematic structural diagram of the sensing pixel in FIG. 3;
图6示出了根据本申请另一实施例的光学指纹识别装置;Fig. 6 shows an optical fingerprint identification device according to another embodiment of the present application;
图7示出了根据本申请又一实施例的光学指纹识别装置;Fig. 7 shows an optical fingerprint identification device according to another embodiment of the present application;
图8示出了根据本申请一实施例的光学指纹识别方法;Fig. 8 shows an optical fingerprint recognition method according to an embodiment of the present application;
图9示出了根据本申请一实施例获取手指光谱信息的过程示意图;Fig. 9 shows a schematic diagram of the process of acquiring finger spectral information according to an embodiment of the present application;
图10A和图10B分别示出了根据本申请另一实施例的指纹录入步骤和指纹识别步骤;FIG. 10A and FIG. 10B respectively show a fingerprint entry step and a fingerprint recognition step according to another embodiment of the present application;
图11A和图11B分别示出了根据本申请再一实施例的指纹录入步骤和指纹识别步骤;FIG. 11A and FIG. 11B respectively show a fingerprint entry step and a fingerprint recognition step according to yet another embodiment of the present application;
图12A和图12B分别示出了根据本申请又一实施例的指纹录入步骤和指纹识别步骤;以及FIG. 12A and FIG. 12B respectively show a fingerprint entry step and a fingerprint recognition step according to another embodiment of the present application; and
图13为根据本申请一实施例的电子设备的硬件结构示意图。FIG. 13 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
具体实施方式detailed description
下面将结合本申请实施例中的附图,对本申请实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例是本申请一部分实施例,而不是全部的实施例。基于本申请中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本申请保护的范围。The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
本申请的说明书和权利要求书中的术语“第一”、“第二”等是用于区别类似的对象,而不用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换,以便本申请的实施例能够以除了在这里图示或描述的那些以外的顺序实施。此外,说明书以及权利要求中“和/或”表示所连接对象的至少其中之一,字符“/”,一般表示前后关联对象是一种“或”的关系。The terms "first", "second" and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the application can be practiced in sequences other than those illustrated or described herein. In addition, "and/or" in the specification and claims means at least one of the connected objects, and the character "/" generally means that the related objects are an "or" relationship.
下面结合附图,通过具体的实施例及其应用场景,对根据本申请的光学指纹识别装置和方法进行详细地说明。The optical fingerprint identification device and method according to the present application will be described in detail below through specific embodiments and application scenarios with reference to the accompanying drawings.
如图3示出了根据本申请一实施例的光学指纹识别装置20,其例如可以是光学指纹识别芯片。如图3所示,光学指纹识别装置20包括由多个像素的阵列构成的光感应区21。光感应区21中的像素包括多个颜色像素22。如图4所示,每个颜色像素22可包括:微透镜221、位于微透镜221下方的吸光层222、位于吸光层222下方的感应电路223、以及位于感应电路223下方的 硅基板224。感应电路223上设置有例如光接收器的传感器,用于采集从吸光层222透射过来的光。根据本申请,可以利用电子设备的屏幕作为的发光单元,或者也可以设置单独的发光单元。FIG. 3 shows an optical fingerprint identification device 20 according to an embodiment of the present application, which may be, for example, an optical fingerprint identification chip. As shown in FIG. 3 , the optical fingerprint identification device 20 includes a photosensitive area 21 composed of a plurality of pixel arrays. The pixels in the photosensitive area 21 include a plurality of color pixels 22 . As shown in FIG. 4 , each color pixel 22 may include: a microlens 221 , a light absorbing layer 222 under the microlens 221 , a sensing circuit 223 under the light absorbing layer 222 , and a silicon substrate 224 under the sensing circuit 223 . A sensor such as a light receiver is disposed on the sensing circuit 223 for collecting the light transmitted from the light absorbing layer 222 . According to the present application, the screen of the electronic device can be used as the light emitting unit, or a separate light emitting unit can also be provided.
吸光层222适于吸收特定波长范围的光,其例如可以由利用光电转换原理的针对特定波长范围(波段)的光的光电转换材料层制成。这种光电转换材料层具备吸收该特定波长范围的光并转换为电子的能力。在一个例子中,可以采用染料的形式将针对特定光波段的光电材料加入到颜色溶液中,形成颜色涂料。然后通过芯片制作工艺,将这种颜色涂料涂覆到光感应区21的适当位置,例如颜色像素22的感应电路223上。优选地,颜色像素22还包括位于吸光层222和感应电路223之间的绝缘层225,以避免吸光层222产生的电子干扰感应电路223。The light-absorbing layer 222 is suitable for absorbing light in a specific wavelength range, for example, it can be made of a photoelectric conversion material layer for light in a specific wavelength range (band) using the principle of photoelectric conversion. This photoelectric conversion material layer has the ability to absorb light in this specific wavelength range and convert it into electrons. In one example, optoelectronic materials for specific light bands can be added to the color solution in the form of dyes to form a color paint. Then, the color paint is applied to an appropriate position of the photosensitive region 21 , such as the sensing circuit 223 of the color pixel 22 , through the chip manufacturing process. Preferably, the color pixel 22 further includes an insulating layer 225 between the light absorbing layer 222 and the sensing circuit 223 , so as to prevent the electrons generated by the light absorbing layer 222 from interfering with the sensing circuit 223 .
本申请利用吸光层取代了传统颜色像素中的光阻性颜色层,使得同一个颜色像素能够采集更多波长范围内的光,最终采集到的光照强度因此得到了明显提升。图4A示出了根据本申请一实施例的颜色像素检测到的光谱曲线400的示意图。与前面图2C中示出的传统颜色像素检测到的光谱曲线200相比,根据本申请检测到光谱曲线400在更宽的波长范围内具有更高的光照强度。换句话说,本申请吸光层的透光率远远优于传统的光阻性颜色层。这一方面能够提高了采集到的光谱信息质量,另一方面,利用本申请的颜色像素除了适于得到手指光谱信息之外还适于得到手指纹路信息。In this application, the light-absorbing layer is used to replace the photoresistive color layer in the traditional color pixel, so that the same color pixel can collect light in more wavelength ranges, and the finally collected light intensity is thus significantly improved. FIG. 4A shows a schematic diagram of a spectral curve 400 detected by a color pixel according to an embodiment of the present application. Compared with the spectral curve 200 detected by the conventional color pixel shown in FIG. 2C , the spectral curve 400 detected according to the present application has higher light intensity in a wider wavelength range. In other words, the light transmittance of the light absorbing layer of the present application is much better than that of the traditional photoresist color layer. On the one hand, this can improve the quality of the collected spectral information. On the other hand, the color pixels of the present application are not only suitable for obtaining finger spectral information, but also suitable for obtaining finger fingerprint information.
回到图3,可选地或附加地,光感应区21中的像素还可以包括一个或多个适于采集手指纹路信息的感应像素23。如图5所示,感应像素23包括:微透镜231、位于微透镜下方的保护层232、位于保护层下方的感应电路233、以及位于感应电路下方的硅基板234。感应像素23的工作原理与现有的感应像素13类似,这里不在重复。Returning to FIG. 3 , optionally or additionally, the pixels in the photosensitive area 21 may also include one or more sensing pixels 23 suitable for collecting fingerprint path information. As shown in FIG. 5 , the sensing pixel 23 includes: a microlens 231 , a protection layer 232 under the microlens, a sensing circuit 233 under the protection layer, and a silicon substrate 234 under the sensing circuit. The working principle of the sensing pixel 23 is similar to that of the existing sensing pixel 13 and will not be repeated here.
在图3示出的例子中,颜色像素22布置在光感应区21的周边区域(例如布置成一排或多排),而感应像素23布置在光感应区21的中间区域。一般来说,利用光感应区周边的像素获取到的手指纹路信息的质量较低,而对手指光谱信息基本没有影响。本申请的这种布置将仅适于获取手指纹路信息的感应像素集中到光感应区的中间,并将适于获取手指光谱信息的颜色像素布 置到光感应区的周边,实质上提升了光学指纹识别装置的有效利用面积。In the example shown in FIG. 3 , the color pixels 22 are arranged in the peripheral area of the photosensitive area 21 (for example, arranged in one or more rows), and the sensing pixels 23 are arranged in the middle area of the photosensitive area 21 . Generally speaking, the quality of the fingerprint path information obtained by using the pixels around the photosensitive area is low, and basically has no effect on the finger spectrum information. This arrangement of the present application concentrates the sensing pixels suitable for obtaining fingerprint path information in the middle of the photosensitive area, and arranges the color pixels suitable for obtaining finger spectral information on the periphery of the photosensitive area, which substantially improves the quality of optical fingerprints. Identify the effective use area of the device.
根据本申请的一实施例,多个颜色像素22按照其各自的吸光层222所吸收的光的波长范围被分为多个不同的类型。相同类型的颜色像素的吸光层所吸收的光的波长范围相同,而不同类型的颜色像素的吸光层所吸收的光的波长范围不同。According to an embodiment of the present application, the plurality of color pixels 22 are divided into a plurality of different types according to the wavelength range of light absorbed by their respective light absorbing layers 222 . The light absorbing layers of the same type of color pixels absorb the same wavelength range of light, while the light absorbing layers of different types of color pixels absorb different wavelength ranges of light.
在图3示出的例子中,颜色像素22按照其各自的吸光层222所吸收的光的波长范围的不同,被分成分别用于吸收红色光的颜色像素22R(图中用R标识)、用于吸收蓝色光的颜色像素22B(图中用B标识)、用于吸收绿色光的颜色像素22G(图中用G标识)、和用于吸收黄色光的颜色像素22Y(图中用Y标识)。应当理解,根据本申请,光感应区中的颜色像素可以具有其他的排列方式,并且可以具有更多或更少的类型且不限于本文中提到的类型。在光感应区中,不同类型的颜色像素可以交替地和/或间隔地布置。多个颜色像素中的部分或全部的排布可以遵循一致的规律,或遵循不同的规律,或者随机排布。In the example shown in FIG. 3 , the color pixels 22 are divided into color pixels 22R (identified by R in the figure) for absorbing red light according to the wavelength range of the light absorbed by their respective light-absorbing layers 222. The color pixel 22B (marked by B in the figure) for absorbing blue light, the color pixel 22G (marked by G in the figure) for absorbing green light, and the color pixel 22Y (marked by Y in the figure) for absorbing yellow light . It should be understood that, according to the present application, the color pixels in the photosensitive area may have other arrangements, and may have more or less types and are not limited to the types mentioned herein. In the light sensing area, different types of color pixels may be arranged alternately and/or at intervals. The arrangement of some or all of the pixels of multiple colors may follow a consistent pattern, or follow different patterns, or be arranged randomly.
图6示出了根据本申请又一实施例的光学指纹识别装置30,其包括由多个像素的阵列构成的光感应区31。其中像素的阵列全部由颜色像素32构成。颜色像素32的构造与前面描述的颜色像素22相同,这里不在重复。图6所示的光学指纹识别装置30可以利用颜色像素采集手指光谱信息以及手指纹路信息。一方面,提高了手指光谱信息和手指纹路信息的获取能力。另一方面,克服了现有技术中采集手指光谱信息的像素数量与采集手指纹路信息的像素数量之间的矛盾。FIG. 6 shows an optical fingerprint identification device 30 according to another embodiment of the present application, which includes a photosensitive area 31 composed of a plurality of pixel arrays. The array of pixels is all composed of color pixels 32 . The structure of the color pixel 32 is the same as that of the color pixel 22 described above, and will not be repeated here. The optical fingerprint identification device 30 shown in FIG. 6 can use color pixels to collect finger spectral information and fingerprint path information. On the one hand, the acquisition ability of finger spectrum information and fingerprint path information is improved. On the other hand, the contradiction between the number of pixels for collecting finger spectrum information and the number of pixels for collecting fingerprint path information in the prior art is overcome.
在图6示出的例子中,颜色像素32按照其各自的吸光层所吸收的光的波长范围的不同,被分成分别用于吸收红色光的颜色像素32R(图中用R标识)、用于吸收蓝色光的颜色像素32B(图中用B标识)、用于吸收绿色光的颜色像素32G(图中用G标识)、和用于吸收黄色光的颜色像素32Y(图中用Y标识)。应当理解,根据本申请,光感应区中的颜色像素可以具有其他的排列方式,并且可以具有更多或更少的类型且不限于本文中提到的类型。在光感应区中,不同类型的颜色像素可以交替地和/或间隔地布置。多个颜色像素中的部分或全部的排布可以遵循一致的规律,或遵循不同的规律,或者随机排布。In the example shown in FIG. 6 , the color pixels 32 are divided into color pixels 32R (identified by R in the figure) for absorbing red light according to the wavelength ranges of light absorbed by their respective light-absorbing layers, A color pixel 32B for absorbing blue light (marked by B in the figure), a color pixel 32G for absorbing green light (marked by G in the figure), and a color pixel 32Y for absorbing yellow light (marked by Y in the figure). It should be understood that, according to the present application, the color pixels in the photosensitive area may have other arrangements, and may have more or less types and are not limited to the types mentioned herein. In the light sensing area, different types of color pixels may be arranged alternately and/or at intervals. The arrangement of some or all of the pixels of multiple colors may follow a consistent pattern, or follow different patterns, or be arranged randomly.
图7示出了根据本申请又一实施例的光学指纹识别装置40,其包括由多个颜色像素42和多个感应像素43的阵列构成的光感应区41。颜色像素42、感应像素43的构造与前面描述的颜色像素22、感应像素23相同,这里不在重复。FIG. 7 shows an optical fingerprint identification device 40 according to yet another embodiment of the present application, which includes a photosensitive area 41 composed of an array of multiple color pixels 42 and multiple sensing pixels 43 . The structures of the color pixels 42 and the sensing pixels 43 are the same as those of the color pixels 22 and the sensing pixels 23 described above, and will not be repeated here.
在图7示出的例子中,多个颜色像素42分散布置在光感应区41的像素阵列中。可选地,光感应区41被划分出多个颜色感应区域41a,这些颜色感应区域41a在光感应区41中分散布置。在每个颜色感应区域41a中布置有一个或多个颜色像素42。感应像素43布置在光感应区41中的颜色感应区域41a之外。在图7示出的例子中,每个颜色感应区域41a包括用于吸收红色光的颜色像素42R(图中用R标识)、用于吸收蓝色光的颜色像素42B(图中用B标识)、用于吸收绿色光的颜色像素42G(图中用G标识)、和用于吸收黄色光的颜色像素42Y(图中用Y标识)。In the example shown in FIG. 7 , a plurality of color pixels 42 are dispersedly arranged in the pixel array of the photosensitive area 41 . Optionally, the light sensing area 41 is divided into a plurality of color sensing areas 41 a, and these color sensing areas 41 a are dispersedly arranged in the light sensing area 41 . One or more color pixels 42 are arranged in each color sensing area 41a. The sensing pixels 43 are arranged outside the color sensing area 41 a in the light sensing area 41 . In the example shown in FIG. 7, each color sensing region 41a includes a color pixel 42R (identified by R in the figure) for absorbing red light, a color pixel 42B (identified by B in the figure) for absorbing blue light, A color pixel 42G for absorbing green light (marked by G in the figure), and a color pixel 42Y for absorbing yellow light (marked by Y in the figure).
利用这种布置,在手指按压时同时采集手指皮肤针对红色,蓝色,绿色及黄色的光谱信息,并通过算法拟合为手指皮肤的光谱曲线;此方案可有效的提升指纹按压时皮肤光谱的收集能力,提升指纹的防假指纹的能力。另外,在屏下指纹识别的过程中,手指以及工作环境相对稳定,因此手指的反射光谱相对稳定。将颜色像素分散布置,使得手指没有覆盖像素阵列的全部,也能够得到符合需求的手指光谱信息。With this arrangement, when the finger is pressed, the red, blue, green and yellow spectral information of the finger skin is collected at the same time, and the spectral curve of the finger skin is fitted by an algorithm; this scheme can effectively improve the skin spectrum when the fingerprint is pressed. The ability to collect and improve the ability of fingerprints to prevent fake fingerprints. In addition, in the process of fingerprint recognition under the screen, the finger and the working environment are relatively stable, so the reflection spectrum of the finger is relatively stable. The color pixels are arranged in a dispersed manner, so that the fingers do not cover all the pixel arrays, and spectral information of the fingers meeting requirements can also be obtained.
然而应当理解,根据本申请,颜色感应区域中的颜色像素可以具有其他的排列方式,并且可以具有更多或更少的类型且不限于本文中提到的类型。在光感应区中,不同的颜色感应区域可以具有相同或不同数量(甚至单个的)、和/或相同或不同类型的颜色像素。颜色感应区域中的部分或全部颜色像素的排布可以遵循一致的规律,或遵循不同的规律,或者随机排布。光感应区中的部分或全部颜色感应区域的排布可以遵循一致的规律,或遵循不同的规律,或者随机排布。However, it should be understood that, according to the present application, the color pixels in the color sensing area may have other arrangements, and may have more or less types and are not limited to the types mentioned herein. In the light sensing area, different color sensing areas may have the same or different numbers (even single), and/or the same or different types of color pixels. The arrangement of some or all of the color pixels in the color sensing area may follow a consistent rule, or follow different rules, or be arranged randomly. The arrangement of part or all of the color sensing areas in the photosensitive area can follow a consistent rule, or follow different rules, or be arranged randomly.
应当理解,本申请实施例中的光学指纹识别装置可以是装置,也可以是终端中的部件、集成电路、或芯片。该装置可以是移动电子设备,也可以为非移动电子设备,或者可以为移动电子设备或非移动电子设备的部件。示例性的,移动电子设备可以为手机、平板电脑、笔记本电脑、掌上电脑、车载 电子设备、可穿戴设备、超级移动个人计算机(Ultra-Mobile Personal Computer,UMPC)、上网本或者个人数字助理(Personal Digital Assistant,PDA)等,非移动电子设备可以为服务器、网络附属存储器(Network Attached Storage,NAS)、个人计算机(Personal Computer,PC)、电视机(Television,TV)、柜员机或者自助机等,本申请实施例不作具体限定。It should be understood that the optical fingerprint identification device in the embodiment of the present application may be a device, or a component, an integrated circuit, or a chip in a terminal. The device may be a mobile electronic device or a non-mobile electronic device, or may be a part of a mobile electronic device or a non-mobile electronic device. Exemplary, the mobile electronic device can be a mobile phone, a tablet computer, a notebook computer, a handheld computer, a vehicle electronic device, a wearable device, an ultra-mobile personal computer (Ultra-Mobile Personal Computer, UMPC), a netbook or a personal digital assistant (Personal Digital Assistant). Assistant, PDA), etc., non-mobile electronic devices can be servers, network attached storage (Network Attached Storage, NAS), personal computer (Personal Computer, PC), television (Television, TV), teller machine or self-service machine, etc., this application Examples are not specifically limited.
本申请实施例中的光学指纹识别装置可以为具有操作系统的装置。该操作系统可以为安卓(Android)操作系统、或者IOS操作系统、或者其他可能的操作系统,本申请实施例不作具体限定。The optical fingerprint identification device in the embodiment of the present application may be a device with an operating system. The operating system may be an Android (Android) operating system, an IOS operating system, or other possible operating systems, which are not specifically limited in this embodiment of the present application.
下面,参考附图8-12B并结合根据本申请一实施例的光学指纹识别装置的构造,说明根据本申请的光学指纹识别方法。应当理解,本申请的光学指纹识别方法适用于根据本申请其他实施例的光学指纹识别装置。根据本申请的光学指纹识别方法,其执行主体可以为电子设备、光学指纹识别装置,或者该装置中用于执行本申请方法的控制模块。In the following, the optical fingerprint identification method according to the present application will be described with reference to FIGS. 8-12B and in combination with the structure of the optical fingerprint identification device according to an embodiment of the present application. It should be understood that the optical fingerprint identification method of the present application is applicable to the optical fingerprint identification device according to other embodiments of the present application. According to the optical fingerprint identification method of the present application, its executing subject may be an electronic device, an optical fingerprint identification device, or a control module in the device for executing the method of the present application.
图8示出了根据本申请一实施例的光学指纹识别方法,包括指纹录入步骤(步骤S13)和指纹识别步骤(步骤S15)。指纹录入步骤S13包括:利用颜色像素22采集来自用户目标手指(即,第一目标手指)的反射光(步骤S131),其中所述反射光中的预定波长范围的光被吸光层吸收并转换为电子,而其余波长范围的光穿过吸光层并由感应电路的传感器进行采集;然后,利用采集到的反射光产生目标手指的光谱信息,即,第一手指光谱信息(步骤S132);最后,存储该第一手指光谱信息(步骤S133)。指纹识别步骤S15包括:在启动指纹识别后,利用颜色像素22采集来自当前目标手指(即,第二目标手指)的反射光(步骤S151),其中所述反射光中的预定波长范围的光被吸光层吸收并转换为电子,而其余波长范围的光穿过吸光层并由感应电路的传感器进行采集;然后,利用采集到的反射光产生当前手指的光谱信息,即第二手指光谱信息(步骤S152);然后,将第二手指光谱信息与已存储的第一手指光谱信息进行比对(步骤S153);当两者不匹配时,当前的目标手指被识别为无效(步骤S154),例如非活体手指/指纹、或人工伪造指纹;当两者匹配时,进行后续处理(步骤S155)。Fig. 8 shows an optical fingerprint recognition method according to an embodiment of the present application, including a fingerprint entry step (step S13) and a fingerprint recognition step (step S15). The fingerprint entry step S13 includes: using color pixels 22 to collect reflected light from the user's target finger (ie, the first target finger) (step S131), wherein light in a predetermined wavelength range in the reflected light is absorbed by the light-absorbing layer and converted into electrons, while the light in the remaining wavelength ranges passes through the light-absorbing layer and is collected by the sensor of the induction circuit; then, the spectral information of the target finger is generated by using the collected reflected light, that is, the first finger spectral information (step S132); finally, Store the spectral information of the first finger (step S133). Fingerprint identification step S15 includes: after fingerprint identification is started, use color pixels 22 to collect reflected light from the current target finger (i.e., second target finger) (step S151), wherein light in a predetermined wavelength range in the reflected light is captured by The light-absorbing layer absorbs and converts electrons, and the light in the remaining wavelength range passes through the light-absorbing layer and is collected by the sensor of the sensing circuit; then, the spectral information of the current finger is generated by using the collected reflected light, that is, the second finger spectral information (step S152); then, compare the second finger spectral information with the stored first finger spectral information (step S153); when the two do not match, the current target finger is identified as invalid (step S154), such as non Living finger/fingerprint, or artificially forged fingerprint; when the two match, follow-up processing (step S155).
现有的指纹录入方式通常包括多次录入,即,手指反复抬起放下。与这 种录入方式相结合,根据本申请一实施例,利用颜色像素采集来自第一目标手指的反射光的步骤S131可包括多次采集,每次录入时进行一次采集。接下来,将各次采集所得到的反射光光谱信息进行拟合,得到第一手指光谱信息。Existing fingerprint entry methods generally include multiple entries, that is, fingers are lifted and lowered repeatedly. In combination with this entry method, according to an embodiment of the present application, the step S131 of using color pixels to collect reflected light from the first target finger may include multiple collections, one collection for each entry. Next, the spectral information of the reflected light obtained from each collection is fitted to obtain the spectral information of the first finger.
图9示出了根据本申请一实施例获取手指光谱信息的过程示意图。在屏下指纹识别的过程中,手指以及工作环境相对稳定,因此手指的反射光谱相对稳定。在一次采集中,到达各颜色吸光层处的光线例如具有光谱500。通过颜色像素22R、22Y、22G吸光层后的光线分别具有光谱510、520、530。综合考虑不同颜色像素采集到的光谱,最终拟合形成手指光谱曲线590。可以看出,相比于单个颜色像素采集到的光谱,得到的手指光谱曲线590在更大的波长范围内具有更高的辨识度。综合考虑多次采集,最终得到的手指光谱曲线具有更高的辨识度以及更大的强度。Fig. 9 shows a schematic diagram of a process of acquiring finger spectrum information according to an embodiment of the present application. In the process of fingerprint recognition under the screen, the finger and the working environment are relatively stable, so the reflection spectrum of the finger is relatively stable. In one acquisition, the light rays reaching the light-absorbing layers of each color have a spectrum of 500, for example. The light rays passing through the light-absorbing layers of the color pixels 22R, 22Y, and 22G have spectra 510, 520, and 530, respectively. The spectra collected by pixels of different colors are considered comprehensively, and finally the finger spectrum curve 590 is formed by fitting. It can be seen that, compared with the spectrum collected by a single color pixel, the obtained finger spectral curve 590 has a higher degree of recognition in a larger wavelength range. Taking multiple acquisitions into consideration, the resulting finger spectrum curve has a higher degree of recognition and greater intensity.
根据本申请一实施例,提供了一种可选的或替代的指纹录入步骤S23,如图10A所示,其是在前面描述过的指纹录入步骤S13的基础上增加了利用颜色像素录入手指纹路信息的过程。具体来说,其包括:利用在步骤S131中颜色像素22采集到的反射光,产生至少部分的用户手指纹路信息,即,第一手指纹路信息(步骤S231);然后,存储所产生的第一手指纹路信息(步骤S232)。相比于现有技术中的颜色像素,根据本申请的颜色像素的光透过率得到了极大的提升,具有感应手指指纹纹路的能力。然而,由于吸光层的存在,本申请的颜色像素的光透过率依然低于感应像素(感应像素的保护层可以认为不会导致光透过率的损失)。优选地,可以例如通过软件算法对颜色像素的吸光层所导致的透过率损失进行补偿。举例来说,可以首先测量具有吸光层的颜色像素的光透过率,然后确定具有吸光层的颜色像素的光透过率与尚未设置吸光层的像素的光透过率之间的比值,然后利用该比值对相应的颜色像素所采集到的光强进行对应比例的放大。由此,可以对颜色像素采集到的图像信息进行加强处理,以进一步优化颜色像素的成像效果。应当理解,可以通过任何已知的补偿方案对本申请的颜色像素的光透过率进行补偿。通过补偿,各个颜色像素之间以及颜色像素与感应像素之间的光透过率的差异被减弱甚至消除。According to an embodiment of the present application, an optional or alternative fingerprint entry step S23 is provided, as shown in FIG. 10A, which adds the method of using color pixels to enter the fingerprint path on the basis of the fingerprint entry step S13 described above. information process. Specifically, it includes: using the reflected light collected by the color pixel 22 in step S131 to generate at least part of the user's fingerprint path information, that is, the first fingerprint path information (step S231); then, storing the generated second fingerprint path information. One-fingerprint road information (step S232). Compared with the color pixels in the prior art, the light transmittance of the color pixels according to the present application has been greatly improved, and has the ability to sense fingerprint lines of fingers. However, due to the existence of the light-absorbing layer, the light transmittance of the color pixel of the present application is still lower than that of the sensing pixel (the protective layer of the sensing pixel may not cause loss of light transmittance). Preferably, the transmittance loss caused by the light-absorbing layer of the color pixel can be compensated, for example, by a software algorithm. For example, the light transmittance of the color pixel with the light absorbing layer can be measured first, and then the ratio between the light transmittance of the color pixel with the light absorbing layer and the light transmittance of the pixel without the light absorbing layer can be determined, and then The light intensity collected by the corresponding color pixel is amplified correspondingly by using the ratio. Thus, the image information collected by the color pixels can be enhanced to further optimize the imaging effect of the color pixels. It should be understood that the light transmittance of the color pixels of the present application may be compensated by any known compensation scheme. Through compensation, the difference in light transmittance among the color pixels and between the color pixels and the sensing pixels is weakened or even eliminated.
相应地,本申请提供了一种可选的或替代的指纹识别步骤S25,如图10B 所示,其是在前面描述过的指纹识别步骤S15的基础上增加了利用颜色像素识别手指纹路信息的过程。具体来说,其包括:利用在步骤S151中由颜色像素22采集到的反射光,产生至少部分的手指纹路信息,即,第二手指纹路信息(步骤S251);将所产生的第二手指纹路信息与已存储的第一手指纹路信息进行比对(步骤S252)。当两者不匹配时,所述第二目标手指被识别为无效(步骤S253),例如非活体手指/指纹、或人工伪造指纹。当在步骤S153中比对后中判断第二手指光谱信息与已存储的第一手指光谱信息匹配,且在步骤S252中比对后判断第二手指纹路信息与已存储的第一手指纹路信息匹配时,第二目标手指被识别为有效(步骤S254)。这样,利用本申请的颜色像素,既能够实现对手指光谱信息的录入和识别,也能够实现对手指指纹信息的录入和识别。Correspondingly, the present application provides an optional or alternative fingerprint recognition step S25, as shown in FIG. 10B , which adds the method of using color pixels to recognize fingerprint path information on the basis of the fingerprint recognition step S15 described above. process. Specifically, it includes: using the reflected light collected by the color pixel 22 in step S151 to generate at least part of the fingerprint path information, that is, the second fingerprint path information (step S251); The fingerprint path information is compared with the stored first fingerprint path information (step S252). When the two do not match, the second target finger is identified as invalid (step S253), such as a non-living finger/fingerprint, or an artificially forged fingerprint. After comparing in step S153, it is judged that the second finger spectrum information matches the stored first finger spectrum information, and after comparing in step S252, it is judged that the second finger fingerprint path information matches the stored first finger fingerprint path information. When the information matches, the second target finger is recognized as valid (step S254). In this way, by using the color pixels of the present application, not only the input and identification of finger spectral information, but also the input and identification of finger fingerprint information can be realized.
根据本申请另一实施例,提供了另一种可选的或替代的指纹录入步骤S33,如图11A所示,其是在前面描述过的指纹录入步骤S13的基础上增加了利用感应像素23录入手指纹路信息的过程。具体来说,其包括:利用感应像素23采集来自第一目标手指的反射光(步骤S331);然后,利用采集到的反射光产生至少部分的第一手指纹路信息(步骤S332);最后,存储所产生的第一手指纹路信息(步骤S333)。According to another embodiment of the present application, another optional or alternative fingerprint entry step S33 is provided, as shown in FIG. 11A , which increases the use of sensing pixels 23 The process of entering fingerprint information. Specifically, it includes: using the sensing pixels 23 to collect reflected light from the first target finger (step S331); then, using the collected reflected light to generate at least part of the fingerprint path information of the first finger (step S332); finally, Store the generated first finger fingerprint path information (step S333).
相应地,本申请提供了一种可选的或替代的指纹识别步骤S35,如图11B所示,其是在前面描述过的指纹识别步骤S15的基础上增加了利用感应像素识别手指纹路信息的过程。具体来说,其包括:利用感应像素23采集来自第二目标手指的反射光(步骤S351);然后,利用采集到的反射光产生至少部分的第二手指纹路信息(步骤S352);然后,将所产生的第二手指纹路信息与已存储的第一手指纹路信息进行比对(步骤S353)。当两者不匹配时,第二目标手指被识别为无效(步骤S354),例如非活体手指/指纹、或人工伪造指纹。当在步骤S153中比对后判断第二手指光谱信息与已存储的第一手指光谱信息匹配,且在步骤S353中比对后判断第二手指纹路信息与已存储的第一手指纹路信息匹配时,第二目标手指被识别为有效(步骤S355)。Correspondingly, the present application provides an optional or alternative fingerprint recognition step S35, as shown in FIG. 11B , which adds the method of using sensing pixels to recognize fingerprint path information on the basis of the fingerprint recognition step S15 described above. process. Specifically, it includes: using the sensing pixels 23 to collect reflected light from the second target finger (step S351); then, using the collected reflected light to generate at least part of the fingerprint path information of the second finger (step S352); then, Comparing the generated path information of the second fingerprint with the stored path information of the first fingerprint (step S353). When the two do not match, the second target finger is identified as invalid (step S354), such as a non-living finger/fingerprint, or artificially forged fingerprint. After comparing in step S153, it is determined that the second finger spectrum information matches the stored first finger spectrum information, and in step S353, it is determined that the second finger fingerprint path information matches the stored first finger fingerprint path information When matched, the second target finger is recognized as valid (step S355).
根据本申请又一实施例,提供了一种可选的或替代的指纹录入步骤S43,如图12A所示,其是在前面描述过的指纹录入步骤S13的基础上增加了利用 颜色像素22和感应像素23共同录入手指纹路信息的过程。具体来说,其包括:利用感应像素23采集来自第一目标手指的反射光(步骤S431);然后,利用在步骤S131中颜色像素22采集到的反射光和步骤S431中感应像素23采集到的反射光,拟合产生第一手指纹路信息(步骤S432);最后,存储所产生的第一手指纹路信息(步骤S433)。According to yet another embodiment of the present application, an optional or alternative fingerprint entry step S43 is provided, as shown in FIG. 12A , which increases the use of color pixels 22 and The sensing pixels 23 jointly record the process of fingerprint path information. Specifically, it includes: using the sensing pixel 23 to collect reflected light from the first target finger (step S431); The reflected light is fitted to generate the first fingerprint path information (step S432); finally, the generated first fingerprint path information is stored (step S433).
相应地,本申请提供了一种可选的或替代的指纹识别步骤S45,如图12B所示,其在前面描述过的指纹识别步骤S15的基础上增加了利用颜色像素22和感应像素23共同识别手指纹路信息的过程。具体来说,其包括:利用感应像素23采集来自第二目标手指的反射光(步骤S451);然后,利用在步骤S151中由颜色像素22采集到的反射光和在步骤S451中由感应像素23采集到的反射光,拟合产生第二手指纹路信息(步骤S452);然后,将所产生的第二手指纹路信息与已存储的第一手指纹路信息进行比对(步骤S453)。当两者不匹配时,第二目标手指被识别为无效(步骤S454),例如非活体手指/指纹、或人工伪造指纹。当在步骤S153比对后判断第二手指光谱信息与已存储的第一手指光谱信息匹配,且在步骤S453比对后判断第二手指纹路信息与已存储的第一手指纹路信息匹配时,第二目标手指被识别为有效(步骤S455)。Correspondingly, the present application provides an optional or alternative fingerprint recognition step S45, as shown in FIG. 12B , which adds the use of color pixels 22 and sensing pixels 23 on the basis of the previously described fingerprint recognition step S15. The process of identifying fingerprint information. Specifically, it includes: using the sensing pixel 23 to collect reflected light from the second target finger (step S451); The collected reflected light is fitted to generate second fingerprint path information (step S452); then, the generated second fingerprint path information is compared with the stored first fingerprint path information (step S453). When the two do not match, the second target finger is identified as invalid (step S454), such as a non-living finger/fingerprint, or an artificially forged fingerprint. When it is judged that the second finger spectrum information matches the stored first finger spectrum information after the comparison in step S153, and when it is judged that the second finger fingerprint path information matches the stored first finger fingerprint path information after the step S453 comparison , the second target finger is recognized as valid (step S455).
本申请还提供了一种包括上述光学指纹识别装置的电子设备。在本申请实施例中,电子设备包括但不限于手机、平板电脑、笔记本电脑、掌上电脑、车载终端、可穿戴设备(例如手环、眼镜)、以及计步器等。或者,电子设备还可以是电视机、机顶盒、台式计算机、集成了计算机的计算机监视器或是其他适当的电子设备。The present application also provides an electronic device including the above-mentioned optical fingerprint identification device. In the embodiment of the present application, electronic devices include but are not limited to mobile phones, tablet computers, notebook computers, palmtop computers, vehicle terminals, wearable devices (such as bracelets, glasses), and pedometers. Alternatively, the electronic device may also be a television, a set-top box, a desktop computer, a computer monitor integrated with a computer, or other suitable electronic devices.
图13示出了根据本申请一实施例的一种电子设备900的硬件结构示意图。电子设备900包括但不限于:射频单元901、网络模块902、音频输出单元903、输入单元904、传感器905、显示单元906、用户输入单元907、接口单元908、存储器909、处理器910、以及根据本申请的光学指纹识别装置,例如光学指纹识别装置20。Fig. 13 shows a schematic diagram of a hardware structure of an electronic device 900 according to an embodiment of the present application. The electronic device 900 includes but not limited to: a radio frequency unit 901, a network module 902, an audio output unit 903, an input unit 904, a sensor 905, a display unit 906, a user input unit 907, an interface unit 908, a memory 909, a processor 910, and according to The optical fingerprint identification device of the present application is, for example, the optical fingerprint identification device 20 .
应理解的是,本申请实施例中,射频单元901可用于收发信息或通话过程中,信号的接收和发送,具体的,将来自基站的下行数据接收后,给处理器910处理;另外,将上行的数据发送给基站。通常,射频单元901包括但 不限于天线、至少一个放大器、收发信机、耦合器、低噪声放大器、双工器等。此外,射频单元901还可以通过无线通信系统与网络和其他设备通信。It should be understood that, in the embodiment of the present application, the radio frequency unit 901 can be used for receiving and sending signals during sending and receiving information or during a call. Specifically, the downlink data from the base station is received and processed by the processor 910; Uplink data is sent to the base station. Generally, the radio frequency unit 901 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 901 can also communicate with the network and other devices through a wireless communication system.
电子设备通过网络模块902为用户提供了无线的宽带互联网访问,如帮助用户收发电子邮件、浏览网页和访问流式媒体等。The electronic device provides users with wireless broadband Internet access through the network module 902, such as helping users send and receive emails, browse web pages, and access streaming media.
音频输出单元903可以将射频单元901或网络模块902接收的或者在存储器909中存储的音频数据转换成音频信号并且输出为声音。而且,音频输出单元903还可以提供与电子设备900执行的特定功能相关的音频输出()例如,呼叫信号接收声音、消息接收声音等等)。音频输出单元903包括扬声器、蜂鸣器以及受话器等。The audio output unit 903 may convert audio data received by the radio frequency unit 901 or the network module 902 or stored in the memory 909 into an audio signal and output as sound. Also, the audio output unit 903 may also provide audio output (eg, call signal reception sound, message reception sound, etc.) related to a specific function performed by the electronic device 900 . The audio output unit 903 includes a speaker, a buzzer, a receiver, and the like.
输入单元904用于接收音频或视频信号。应理解的是,本申请实施例中,输入单元904可以包括图形处理器(Graphics Processing Unit,GPU)9041和麦克风9042,图形处理器9041对在视频捕获模式或图像捕获模式中由图像捕获装置(如摄像头)获得的静态图片或视频的图像数据进行处理。The input unit 904 is used to receive audio or video signals. It should be understood that, in the embodiment of the present application, the input unit 904 may include a graphics processor (Graphics Processing Unit, GPU) 9041 and a microphone 9042, and the graphics processor 9041 is used for the image capture device ( Such as the image data of the still picture or video obtained by the camera) for processing.
电子设备900还包括至少一种传感器905,比如光传感器、运动传感器以及其他传感器。具体地,光传感器包括环境光传感器及接近传感器,其中,环境光传感器可根据环境光线的明暗来调节显示面板9061的亮度,接近传感器可在电子设备900移动到耳边时,关闭显示面板9061和/或背光。作为运动传感器的一种,加速计传感器可检测各个方向上(一般为三轴)加速度的大小,静止时可检测出重力的大小及方向,可用于识别电子设备姿态()比如横竖屏切换、相关游戏、磁力计姿态校准)、振动识别相关功能(比如计步器、敲击)等;传感器905还可以包括指纹传感器、压力传感器、虹膜传感器、分子传感器、陀螺仪、气压计、湿度计、温度计、红外线传感器等,在此不再赘述。The electronic device 900 also includes at least one sensor 905, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 9061 according to the brightness of the ambient light, and the proximity sensor can turn off the display panel 9061 and the / or backlighting. As a kind of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in various directions (usually three axes), and can detect the magnitude and direction of gravity when it is stationary, and can be used to identify the attitude of electronic equipment () such as horizontal and vertical screen switching, related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, knocking), etc.; sensor 905 can also include fingerprint sensor, pressure sensor, iris sensor, molecular sensor, gyroscope, barometer, hygrometer, thermometer , infrared sensor, etc., which will not be repeated here.
显示单元906用于显示由用户输入的信息或提供给用户的信息。显示单元906可包括显示面板9061,可以采用液晶显示器(Liquid Crystal Display,LCD)、有机发光二极管(Organic Light-Emitting Diode,OLED)等形式来配置显示面板9061。The display unit 906 is used to display information input by the user or information provided to the user. The display unit 906 may include a display panel 9061, and the display panel 9061 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), an organic light-emitting diode (Organic Light-Emitting Diode, OLED), or the like.
用户输入单元907可用于接收输入的数字或字符信息,以及产生与电子设备的用户设置以及功能控制有关的键信号输入。具体地,用户输入单元907 包括触控面板9071以及其他输入设备9072。触控面板9071,也称为触摸屏,可收集用户在其上或附近的触摸操作(比如用户使用手指、触笔等任何适合的物体或附件在触控面板9071上或在触控面板9071附近的操作)。触控面板9071可包括触摸检测装置和触摸控制器两个部分。其他输入设备9072可以包括但不限于物理键盘、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆,在此不再赘述。The user input unit 907 can be used to receive input numbers or character information, and generate key signal input related to user settings and function control of the electronic device. Specifically, the user input unit 907 includes a touch panel 9071 and other input devices 9072 . The touch panel 9071, also referred to as a touch screen, can collect the user's touch operations on or near it (for example, the user uses any suitable object or accessory such as a finger, a stylus, etc. on the touch panel 9071 or near the touch panel 9071 operate). The touch panel 9071 may include two parts, a touch detection device and a touch controller. Other input devices 9072 may include, but are not limited to, physical keyboards, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, and joysticks, which will not be repeated here.
接口单元908为外部装置与电子设备900连接的接口。例如,外部装置可以包括有线或无线头戴式耳机端口、外部电源(或电池充电器)端口、有线或无线数据端口、存储卡端口、用于连接具有识别模块的装置的端口、音频输入/输出(I/O)端口、视频I/O端口、耳机端口等等。接口单元908可以用于接收来自外部装置的输入(例如,数据信息、电力等等)并且将接收到的输入传输到电子设备900内的一个或多个元件或者可以用于在移电子设备500和外部装置之间传输数据。The interface unit 908 is an interface for connecting an external device to the electronic device 900 . For example, an external device may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device with an identification module, audio input/output (I/O) ports, video I/O ports, headphone ports, and more. The interface unit 908 can be used to receive input from an external device (for example, data information, power, etc.) Transfer data between external devices.
存储器909可用于存储软件程序以及各种数据。存储器909可主要包括存储程序区和存储数据区,其中,存储程序区可存储操作系统、至少一个功能所需的应用程序(比如声音播放功能、图像播放功能等)等;存储数据区可存储根据手机的使用所创建的数据(比如音频数据、电话本等)等。此外,存储器909可以包括高速随机存取存储器,还可以包括非易失性存储器,例如至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。The memory 909 can be used to store software programs as well as various data. The memory 909 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program required by a function (such as a sound playback function, an image playback function, etc.); Data created by the use of mobile phones (such as audio data, phonebook, etc.), etc. In addition, the memory 909 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.
处理器910是电子设备的控制中心,利用各种接口和线路连接整个电子设备的各个部分,通过运行或执行存储在存储器909内的软件程序和/或模块,以及调用存储在存储器909内的数据,执行电子设备的各种功能和处理数据,从而对电子设备进行整体监控。处理器910可包括一个或多个处理单元;优选的,处理器910可集成应用处理器和调制解调处理器,其中,应用处理器主要处理操作系统、用户界面和应用程序等,调制解调处理器主要处理无线通信。可以理解的是,上述调制解调处理器也可以不集成到处理器910中。The processor 910 is the control center of the electronic device, and uses various interfaces and lines to connect various parts of the entire electronic device, by running or executing software programs and/or modules stored in the memory 909, and calling data stored in the memory 909 , to perform various functions of the electronic equipment and process data, so as to monitor the electronic equipment as a whole. The processor 910 may include one or more processing units; preferably, the processor 910 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface and application programs, etc., and the modem The processor mainly handles wireless communication. It can be understood that the foregoing modem processor may not be integrated into the processor 910 .
本领域技术人员可以理解,电子设备900还可以包括给各个部件供电的电源(比如电池),电源可以通过电源管理系统与处理器910逻辑相连,从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。图13中示出的 电子设备结构并不构成对本申请电子设备的限定,根据本申请的电子设备可以包括比图示更多或更少的部件,或者组合某些部件,或者不同的部件布置,在此不再赘述。Those skilled in the art can understand that the electronic device 900 can also include a power supply (such as a battery) for supplying power to various components, and the power supply can be logically connected to the processor 910 through the power management system, so that the management of charging, discharging, and function can be realized through the power management system. Consumption management and other functions. The structure of the electronic device shown in FIG. 13 does not constitute a limitation to the electronic device of the present application. The electronic device according to the present application may include more or fewer components than shown in the illustration, or combine certain components, or arrange different components, I won't repeat them here.
本申请还提供了一种可读存储介质,所述可读存储介质上存储有程序或指令,该程序或指令被处理器执行时实现上述光学指纹识别方法实施例的各个过程,且能达到相同的技术效果,为避免重复,这里不再赘述。The present application also provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, each process of the above embodiment of the optical fingerprint identification method can be realized, and the same To avoid repetition, the technical effects will not be repeated here.
其中,所述处理器为上述实施例中所述的电子设备中的处理器。所述可读存储介质,包括计算机可读存储介质,如计算机只读存储器(Read-Only Memory,ROM)、随机存取存储器(Random Access Memory,RAM)、磁碟或者光盘等。Wherein, the processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer readable storage medium, such as computer read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.
本申请还提供了一种芯片,所述芯片包括处理器和通信接口,所述通信接口和所述处理器耦合,所述处理器用于运行程序或指令,实现上述光学指纹识别方法实施例的各个过程,且能达到相同的技术效果,为避免重复,这里不再赘述。The present application also provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to realize the above-mentioned optical fingerprint identification method embodiments. process, and can achieve the same technical effect, in order to avoid repetition, it will not be repeated here.
应理解,本申请实施例提到的芯片还可以称为系统级芯片、系统芯片、芯片系统或片上系统芯片等。It should be understood that the chips mentioned in the embodiments of the present application may also be called system-on-chip, system-on-chip, system-on-a-chip, or system-on-a-chip.
本申请还提供了一种计算机程序产品,所述计算机程序产品存储在非易失的存储介质中,所述计算机程序产品被至少一个处理器执行以实现上述光学指纹识别方法实施例的各个过程,且能达到相同的技术效果,为避免重复,这里不再赘述。The present application also provides a computer program product, the computer program product is stored in a non-volatile storage medium, and the computer program product is executed by at least one processor to implement the processes of the above optical fingerprint identification method embodiments, And can achieve the same technical effect, in order to avoid repetition, no more details here.
本申请还提供了一种电子设备,被配置为执行如上述光学指纹识别方法实施例的各个过程,且能达到相同的技术效果,为避免重复,这里不再赘述。The present application also provides an electronic device, which is configured to execute the various processes of the above-mentioned optical fingerprint identification method embodiment, and can achieve the same technical effect. To avoid repetition, details are not repeated here.
需要说明的是,在本文中,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法、物品或者装置不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、物品或者装置所固有的要素。在没有更多限制的情况下,由语句“包括一个……”限定的要素,并不排除在包括该要素的过程、方法、物品或者装置中还存在另外的相同要素。此外,需要指出的是,本申请实施方式中的方法和装置的范围不限按示出或讨论的顺序来执行功能,还 可包括根据所涉及的功能按基本同时的方式或按相反的顺序来执行功能,例如,可以按不同于所描述的次序来执行所描述的方法,并且还可以添加、省去、或组合各种步骤。另外,参照某些示例所描述的特征可在其他示例中被组合。It should be noted that, in this document, the term "comprising", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions are performed, for example, the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
通过以上的实施方式的描述,本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现,当然也可以通过硬件,但很多情况下前者是更佳的实施方式。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可以以软件产品的形式体现出来,该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中,包括若干指令用以使得一台终端(可以是手机,计算机,服务器,空调器,或者网络设备等)执行本申请各个实施例所述的方法。Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the technical solution of the present application can be embodied in the form of a software product in essence or the part that contributes to the prior art, and the computer software product is stored in a storage medium (such as ROM/RAM, disk, CD) contains several instructions to enable a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in various embodiments of the present application.
上面结合附图对本申请的实施例进行了描述,但是本申请并不局限于上述的具体实施方式,上述的具体实施方式仅仅是示意性的,而不是限制性的,本领域的普通技术人员在本申请的启示下,在不脱离本申请宗旨和权利要求所保护的范围情况下,还可做出很多形式,均属于本申请的保护之内。The embodiments of the present application have been described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Under the inspiration of this application, without departing from the purpose of this application and the scope of protection of the claims, many forms can also be made, all of which belong to the protection of this application.

Claims (18)

  1. 一种光学指纹识别装置,包括:An optical fingerprint identification device, comprising:
    光感应区,由多个像素的阵列构成,所述多个像素包括多个颜色像素,所述颜色像素包括:The photosensitive area is composed of an array of multiple pixels, and the multiple pixels include a plurality of color pixels, and the color pixels include:
    微透镜;microlens;
    吸光层,位于所述微透镜下方,所述吸光层是能够吸收预定波长范围的光并转换为电子的光电转换材料层;A light-absorbing layer, located below the microlens, the light-absorbing layer is a photoelectric conversion material layer capable of absorbing light in a predetermined wavelength range and converting it into electrons;
    感应电路,位于所述吸光层下方,所述感应电路上设置有传感器,用于采集从所述吸光层透过的光;The sensing circuit is located under the light-absorbing layer, and the sensing circuit is provided with a sensor for collecting light passing through the light-absorbing layer;
    硅基板,位于所述感应电路下方;以及a silicon substrate positioned below the sensing circuit; and
    绝缘层,位于所述吸光层和所述感应电路之间。The insulating layer is located between the light absorbing layer and the sensing circuit.
  2. 根据权利要求1所述的光学指纹识别装置,其中,所述多个像素还包括多个感应像素,所述感应像素包括:The optical fingerprint identification device according to claim 1, wherein the plurality of pixels further include a plurality of sensing pixels, and the sensing pixels include:
    微透镜;microlens;
    保护层,位于所述微透镜下方,并允许光透过;a protective layer positioned beneath the microlenses and allowing light to pass through;
    感应电路,位于所述保护层下方,所述感应电路上设置有传感器,用于采集从所述保护层透过的光;以及An induction circuit located under the protective layer, a sensor is arranged on the induction circuit for collecting light passing through the protective layer; and
    硅基板,设置在所述感应电路下方。A silicon substrate is disposed under the sensing circuit.
  3. 根据权利要求2所述的光学指纹识别装置,其中,所述颜色像素布置在所述光感应区的周边区域,所述感应像素布置在所述光感应区的中间区域。The optical fingerprint identification device according to claim 2, wherein the color pixels are arranged in a peripheral area of the photosensitive area, and the sensing pixels are arranged in a middle area of the photosensitive area.
  4. 根据权利要求2所述的光学指纹识别装置,其中,所述颜色像素在所述光感应区分散布置,所述光感应区被划分出多个颜色感应区域,所述颜色感应区域在所述光感应区分散布置,其中在每个颜色感应区域中布置有一个或多个颜色像素,所述感应像素布置在所述光感应区中的所述颜色感应区域之外。The optical fingerprint identification device according to claim 2, wherein the color pixels are dispersedly arranged in the photosensitive area, and the photosensitive area is divided into a plurality of color sensing areas, and the color sensing areas are located in the photosensitive area. The sensing areas are distributed, wherein one or more color pixels are arranged in each color sensing area, and the sensing pixels are arranged outside the color sensing area in the light sensing area.
  5. 根据权利要求1所述的光学指纹识别装置,其中,所述光感应区全部由所述多个颜色像素点构成。The optical fingerprint recognition device according to claim 1, wherein the photosensitive area is entirely composed of the plurality of color pixels.
  6. 根据权利要求1-5中任一项所述的光学指纹识别装置,其中,所述多 个颜色像素按照其吸光层所吸收的光的波长范围被分为多个不同的类型,The optical fingerprint identification device according to any one of claims 1-5, wherein the plurality of color pixels are divided into multiple different types according to the wavelength range of the light absorbed by the light absorbing layer,
    其中相同类型的颜色像素的吸光层所吸收的光的波长范围相同,而不同类型的颜色像素的吸光层所吸收的光的波长范围不同,The wavelength ranges of the light absorbed by the light-absorbing layers of the same type of color pixels are the same, while the wavelength ranges of the light absorbed by the light-absorbing layers of different types of color pixels are different,
    其中不同类型的颜色像素在所述光感应区中交替地和/或间隔地布置。Wherein different types of color pixels are arranged alternately and/or at intervals in the photosensitive area.
  7. 一种利用根据权利要求1-6中任一项所述的光学指纹识别装置实现的光学指纹识别方法,包括:An optical fingerprint identification method realized by using the optical fingerprint identification device according to any one of claims 1-6, comprising:
    指纹录入步骤,包括:Fingerprint entry steps, including:
    利用所述颜色像素采集来自第一目标手指的反射光,其中所述反射光中的预定波长范围的光被所述吸光层吸收并转换为电子,而其余波长范围的光穿过所述吸光层并由所述感应电路的所述传感器进行采集;Using the color pixels to collect reflected light from the first target finger, wherein light in a predetermined wavelength range in the reflected light is absorbed by the light-absorbing layer and converted into electrons, and light in the remaining wavelength range passes through the light-absorbing layer and collected by the sensor of the induction circuit;
    利用由所述颜色像素采集到的反射光产生第一手指光谱信息;和generating first finger spectral information using reflected light collected by the color pixels; and
    存储所述第一手指光谱信息;以及storing said first finger spectral information; and
    指纹识别步骤,包括:Fingerprint identification steps, including:
    利用所述颜色像素采集来自第二目标手指的反射光,其中所述反射光中的预定波长范围的光被所述吸光层吸收并转换为电子,而其余波长范围的光穿过所述吸光层并由所述感应电路的所述传感器进行采集;Using the color pixels to collect reflected light from the second target finger, wherein light in a predetermined wavelength range in the reflected light is absorbed by the light-absorbing layer and converted into electrons, and light in the remaining wavelength range passes through the light-absorbing layer and collected by the sensor of the induction circuit;
    利用由所述颜色像素采集到的反射光产生第二手指光谱信息;generating second finger spectrum information by using the reflected light collected by the color pixels;
    将所述第二手指光谱信息与已存储的所述第一手指光谱信息进行比对;和comparing the second finger spectral information with the stored first finger spectral information; and
    当两者不匹配时,所述第二目标手指被识别为无效。When the two do not match, the second target finger is identified as invalid.
  8. 根据权利要求7所述的方法,其中,在所述指纹录入步骤中,采集来自所述第一目标手指的反射光的步骤包括多次采集;产生所述第一手指光谱信息的步骤包括:将各次采集所得到的反射光光谱信息进行拟合,以得到所述第一手指光谱信息。The method according to claim 7, wherein, in the fingerprint entry step, the step of collecting reflected light from the first target finger includes multiple collections; the step of generating spectral information of the first finger includes: The spectral information of the reflected light obtained in each collection is fitted to obtain the spectral information of the first finger.
  9. 根据权利要求7所述的方法,其中,产生第一手指光谱信息和/或产生第二手指光谱信息的步骤包括:将由多个颜色像素采集到的反射光谱线拟合形成相应的手指光谱信息。The method according to claim 7, wherein the step of generating the first finger spectral information and/or generating the second finger spectral information comprises: fitting reflection spectral lines collected by a plurality of color pixels to form corresponding finger spectral information.
  10. 根据权利要求7所述的方法,其中,所述方法还包括:The method according to claim 7, wherein the method further comprises:
    在所述指纹录入步骤中,In the fingerprint entry step,
    利用由所述颜色像素采集到的反射光产生至少部分的第一手指纹路信息;以及generating at least part of the first finger fingerprint path information using reflected light collected by the color pixels; and
    存储所产生的第一手指纹路信息;以及storing the generated first-hand fingerprint information; and
    在所述指纹识别步骤中,In the fingerprint identification step,
    利用由所述颜色像素采集到的反射光产生至少部分的第二手指纹路信息;generating at least part of the second finger fingerprint path information by using the reflected light collected by the color pixels;
    将所产生的第二手指纹路信息与已存储的所述第一手指纹路信息进行比对;Comparing the generated second fingerprint path information with the stored first fingerprint path information;
    当两者不匹配时,所述第二目标手指被识别为无效;以及When the two do not match, the second target finger is identified as invalid; and
    当所述第二手指光谱信息与已存储的所述第一手指光谱信息匹配且所产生的第二手指纹路信息与已存储的所述第一手指纹路信息匹配时,所述第二目标手指被识别为有效。When the second finger spectrum information matches the stored first finger spectrum information and the generated second finger fingerprint information matches the stored first finger fingerprint information, the second target Fingers are recognized as valid.
  11. 根据权利要求10所述的方法,其中,产生第一手指纹路信息和/或产生第二手指纹路信息的步骤包括:对颜色像素的吸光层所导致的透过率损失进行补偿。The method according to claim 10, wherein the step of generating the first fingerprint path information and/or generating the second fingerprint path information comprises: compensating for the loss of transmittance caused by the light-absorbing layer of the color pixel.
  12. 根据权利要求7-11中任一项所述的方法,其中,所述多个像素包括一个或多个感应像素,所述感应像素包括:The method according to any one of claims 7-11, wherein the plurality of pixels include one or more sensing pixels, and the sensing pixels include:
    微透镜;microlens;
    保护层,位于所述微透镜下方,并允许光透过;a protective layer positioned beneath the microlenses and allowing light to pass through;
    感应电路,位于所述保护层下方,所述感应电路上设置有传感器,用于采集从所述保护层透过的光;以及An induction circuit located under the protective layer, a sensor is arranged on the induction circuit for collecting light passing through the protective layer; and
    硅基板,设置在所述感应电路下方,a silicon substrate, disposed below the sensing circuit,
    其中所述方法包括:The methods described therein include:
    在所述指纹录入步骤中,In the fingerprint entry step,
    利用所述感应像素采集来自所述第一目标手指的反射光;collecting reflected light from the first target finger by using the sensing pixels;
    利用由所述感应像素采集到的反射光产生至少部分的第一手指纹路信息;以及generating at least part of the first finger fingerprint path information by using reflected light collected by the sensing pixels; and
    存储所产生的第一手指纹路信息;以及storing the generated first-hand fingerprint information; and
    在所述指纹识别步骤中,In the fingerprint identification step,
    利用所述感应像素采集来自所述第二目标手指的反射光;collecting reflected light from the second target finger by using the sensing pixels;
    利用由所述感应像素采集到的反射光产生至少部分的第二手指纹路信息;generating at least part of the second finger fingerprint path information by using the reflected light collected by the sensing pixels;
    将所产生的第二手指纹路信息与已存储的所述第一手指纹路信息进行比对;Comparing the generated second fingerprint path information with the stored first fingerprint path information;
    当两者不匹配时,所述第二目标手指被识别为无效;以及When the two do not match, the second target finger is identified as invalid; and
    当所述第二手指光谱信息与已存储的所述第一手指光谱信息匹配且所产生的第二手指纹路信息与已存储的所述第一手指纹路信息匹配时,所述第二目标手指被识别为有效。When the second finger spectrum information matches the stored first finger spectrum information and the generated second finger fingerprint information matches the stored first finger fingerprint information, the second target Fingers are recognized as valid.
  13. 根据权利要求12所述的方法,其中,在所述指纹录入步骤中,所述第一手指纹路信息通过由所述感应像素采集到的光和由所述颜色像素采集到的光的信息拟合产生;以及The method according to claim 12, wherein, in the fingerprint entry step, the fingerprint path information of the first finger is simulated by the light collected by the sensing pixels and the light collected by the color pixels. produced jointly; and
    在所述指纹识别步骤中,所述第二手指纹路信息通过由所述感应像素采集到的光和由所述颜色像素采集到的光的信息拟合产生。In the fingerprint identification step, the second fingerprint path information is generated by fitting information of the light collected by the sensing pixels and the light collected by the color pixels.
  14. 一种电子设备,包括根据权利要求1-6中任一项所述的光学指纹识别装置。An electronic device, comprising the optical fingerprint identification device according to any one of claims 1-6.
  15. 一种可读存储介质,其中,所述可读存储介质上存储程序或指令,所述程序或指令被处理器执行时实现如权利要求7-13中任一项所述的光学指纹识别方法的步骤。A readable storage medium, wherein a program or an instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, the optical fingerprint identification method according to any one of claims 7-13 is realized step.
  16. 一种芯片,包括处理器和通信接口,其中,所述通信接口和所述处理器耦合,所述处理器用于运行程序或指令,实现如权利要求7-13中任一项所述的光学指纹识别方法的步骤。A chip comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to realize the optical fingerprint according to any one of claims 7-13 Identify the steps of the method.
  17. 一种计算机程序产品,其中,所述计算机程序产品被存储在非易失的存储介质中,所述计算机程序产品被至少一个处理器执行时实现如权利要求7-13中任一项所述的光学指纹识别方法的步骤。A computer program product, wherein the computer program product is stored in a non-volatile storage medium, and when the computer program product is executed by at least one processor, the method according to any one of claims 7-13 is realized. Steps of optical fingerprinting method.
  18. 一种电子设备,被配置为执行如权利要求7-13中任一项所述的光学指纹识别方法的步骤。An electronic device configured to execute the steps of the optical fingerprint identification method according to any one of claims 7-13.
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Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113449685A (en) * 2021-07-16 2021-09-28 维沃移动通信有限公司 Optical fingerprint identification device, optical fingerprint identification method and electronic equipment
WO2023143242A1 (en) * 2022-01-27 2023-08-03 北京与光科技有限公司 Fingerprint detection module, and living body fingerprint detection apparatus and method

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108684207A (en) * 2017-06-13 2018-10-19 深圳市汇顶科技股份有限公司 Optical bio identifies module, display device and electronic equipment
CN110379826A (en) * 2019-07-26 2019-10-25 上海思立微电子科技有限公司 Optical finger print identification chip and manufacturing method
CN110991351A (en) * 2016-01-31 2020-04-10 深圳市汇顶科技股份有限公司 Optical sensor module under screen for sensing fingerprint on screen
CN111095282A (en) * 2019-10-18 2020-05-01 深圳市汇顶科技股份有限公司 Fingerprint detection device and electronic equipment
US20210036047A1 (en) * 2018-01-23 2021-02-04 Samsung Electronics Co., Ltd. Display having infrared element arranged such that at least one portion thereof overlaps pixel, and electronic device including same
CN112860120A (en) * 2021-03-09 2021-05-28 深圳市汇顶科技股份有限公司 Fingerprint identification device, electronic equipment and method for detecting ambient light
CN113449685A (en) * 2021-07-16 2021-09-28 维沃移动通信有限公司 Optical fingerprint identification device, optical fingerprint identification method and electronic equipment

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110991351A (en) * 2016-01-31 2020-04-10 深圳市汇顶科技股份有限公司 Optical sensor module under screen for sensing fingerprint on screen
CN108684207A (en) * 2017-06-13 2018-10-19 深圳市汇顶科技股份有限公司 Optical bio identifies module, display device and electronic equipment
US20210036047A1 (en) * 2018-01-23 2021-02-04 Samsung Electronics Co., Ltd. Display having infrared element arranged such that at least one portion thereof overlaps pixel, and electronic device including same
CN110379826A (en) * 2019-07-26 2019-10-25 上海思立微电子科技有限公司 Optical finger print identification chip and manufacturing method
CN111095282A (en) * 2019-10-18 2020-05-01 深圳市汇顶科技股份有限公司 Fingerprint detection device and electronic equipment
CN112860120A (en) * 2021-03-09 2021-05-28 深圳市汇顶科技股份有限公司 Fingerprint identification device, electronic equipment and method for detecting ambient light
CN113449685A (en) * 2021-07-16 2021-09-28 维沃移动通信有限公司 Optical fingerprint identification device, optical fingerprint identification method and electronic equipment

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