WO2019062660A1 - Procédé et dispositif de reconnaissance d'empreintes digitales, terminal, et support de stockage lisible par ordinateur - Google Patents

Procédé et dispositif de reconnaissance d'empreintes digitales, terminal, et support de stockage lisible par ordinateur Download PDF

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Publication number
WO2019062660A1
WO2019062660A1 PCT/CN2018/106950 CN2018106950W WO2019062660A1 WO 2019062660 A1 WO2019062660 A1 WO 2019062660A1 CN 2018106950 W CN2018106950 W CN 2018106950W WO 2019062660 A1 WO2019062660 A1 WO 2019062660A1
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Prior art keywords
fingerprint
threshold
gray value
dispersion
value data
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PCT/CN2018/106950
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English (en)
Chinese (zh)
Inventor
刘树勋
田锦程
王运华
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敦泰电子有限公司
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Publication of WO2019062660A1 publication Critical patent/WO2019062660A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/13—Sensors therefor

Definitions

  • the present invention relates to the field of touch detection technologies, and in particular, to a method, an apparatus, a terminal, and a computer readable storage medium for fingerprint recognition.
  • a fingerprint detection array is generally used to perform fingerprint recognition work.
  • the fingerprint detection array performs full array scanning according to a preset frequency to obtain fingerprint data.
  • a fingerprint image is formed for fingerprint recognition. That is, the method requires the fingerprint detection array to be in the working state of the full array scan, which causes the power consumption of the mobile terminal to be large. Therefore, how to reduce the power consumption when the terminal performs fingerprint recognition is a technical problem that a person skilled in the art needs to solve.
  • An object of the present invention is to provide a method, a device, a terminal, and a computer readable storage medium for fingerprint recognition, which prevent all fingerprint detection arrays from being turned on due to misjudgment and reduce terminal power consumption.
  • the invention provides a method for fingerprint recognition, the method comprising:
  • the invention also provides a device for fingerprint recognition, comprising:
  • a first determining module configured to determine whether an average gray value corresponding to the gray value data scanned by the partial fingerprint detecting array exceeds a first threshold
  • a discreteness calculation module configured to calculate a degree of dispersion of the gray value data when the average gray value exceeds the first threshold
  • a second determining module configured to determine whether the degree of dispersion is within a startup range
  • a startup module configured to: when the degree of dispersion is within the startup range, initiate all fingerprint detection arrays for fingerprint scanning.
  • the invention also provides a terminal with a fingerprint identification function, comprising:
  • a memory for storing a computer program
  • the processor when executed to execute the computer program, implements the following steps:
  • the degree of dispersion of the gray value data is calculated
  • the present invention also provides a computer readable storage medium having stored thereon a computer program that, when executed by a processor, implements the following steps:
  • the degree of dispersion of the gray value data is calculated
  • the present invention provides a fingerprint identification method for determining whether an average gray value corresponding to a gray value data scanned by a partial fingerprint detection array exceeds a first threshold; if the first threshold is exceeded, the gray is calculated.
  • the degree of dispersion of the degree data determine whether the degree of dispersion is within the startup range; if within the startup range, initiate all fingerprint detection arrays for fingerprint scanning. That is, only when the above conditions are satisfied (when determining that the object in the fingerprint identification area of the terminal is a fingerprint, that is, the surface texture of the object conforms to the characteristics of the fingerprint), all the fingerprint detection arrays are started to perform fingerprint scanning, thereby avoiding the false determination of the fingerprint object. All the fingerprint detection arrays are turned on, which reduces the power consumption of the terminal.
  • the invention also provides a device for fingerprint identification, a terminal and a computer readable storage medium, which have the above-mentioned beneficial effects, and are not described herein again.
  • FIG. 1 is a flowchart of a method for fingerprint identification according to an embodiment of the present invention
  • FIG. 2 is a schematic flowchart of a specific fingerprint identification method according to an embodiment of the present invention.
  • FIG. 3 is a schematic diagram of a fingerprint detection array according to an embodiment of the present invention.
  • FIG. 4 is a schematic diagram of a state in a working process of a partial fingerprint detection array according to an embodiment of the present invention
  • FIG. 5 is a structural block diagram of an apparatus for fingerprint identification according to an embodiment of the present invention.
  • FIG. 6 is a structural block diagram of another apparatus for fingerprint identification according to an embodiment of the present invention.
  • FIG. 7 is a structural block diagram of a terminal with a fingerprint identification function according to an embodiment of the present invention.
  • the invention provides a fingerprint identification method, device, terminal and computer readable storage medium, which avoids opening all fingerprint detection arrays caused by misjudgment and reduces terminal power consumption.
  • the current fingerprint detection array initiates detection of all fingerprint detection arrays when there is an object in the fingerprint recognition area. It is impossible to distinguish between smooth skin or other conductors such as keys, which may cause a false triggering situation, resulting in an erroneous operation of the mobile terminal without the user's knowledge, and reducing the user experience. For example, when the user puts the mobile phone into the trouser pocket, the skin of the leg may always trigger the detection of all the fingerprint detection arrays; and if there are smooth conductors such as keys or coins in the trouser pocket, and the conductors and the identification area are partially in contact, It may trigger the detection of all fingerprint detection arrays.
  • FIG. 1 is a flowchart of a method for fingerprint identification according to an embodiment of the present invention.
  • the method may include:
  • the fingerprint detection array is divided into a partial fingerprint detection array and all the fingerprint detection arrays, and the partial fingerprint detection array is used for the fingerprint identification area (that is, the area for detecting the fingerprint exists in the terminal, the embodiment is not correct.
  • the shape, position, and the like of the area are limited, and only the area is used for collecting fingerprint information.
  • the existing object is initially identified to exclude other objects that are not fingerprints, such as smooth skin or coin keys.
  • the screening of partial fingerprint detection arrays can improve the reliability of starting fingerprint scanning of all fingerprint detection arrays, that is, avoiding that all fingerprint detection arrays are always in the working state of full array scanning, and the power consumption of the terminals is large, and false triggering is avoided.
  • Fingerprint recognition improves the accuracy of fingerprint recognition of terminals.
  • part of the fingerprint detection array is part of all fingerprint detection arrays. Users can specify according to their needs.
  • the selection of the partial fingerprint detection array is not limited, that is, the proportion of the partial fingerprint detection array in all the fingerprint detection arrays, and the position of the partial fingerprint detection array in all the fingerprint detection arrays are not limited.
  • This step can initially exclude the situation that the contact area with the fingerprint recognition area is small by comparing the average gray value with the first threshold, because in general, the user needs to open the terminal or need to perform fingerprint recognition. Covered in the fingerprint identification area of the terminal. Therefore, at this time, the fingerprint recognition area can be covered almost by the fingertip. When the coverage area of the object in the fingerprint recognition area is very small, it can be considered that the fingerprint recognition operation is not performed.
  • This embodiment does not limit the size of the specific first threshold.
  • the average gray value is obtained by averaging the gray value data scanned by the partial fingerprint detecting array.
  • This embodiment does not limit the triggering process of the gray value data scanned by the partial fingerprint detection array.
  • step S110 is performed as long as the average gray value corresponding to the gray value data scanned by the partial fingerprint detection array is obtained.
  • the terminal may use a partial fingerprint detection array to scan, and compare the average gray value corresponding to the gray value data scanned by the partial fingerprint detection array with the first threshold.
  • the partial fingerprint detection array is used for scanning, and the corresponding gray value of the gray value data scanned by the partial fingerprint detection array is compared with the first threshold (this is not a certain condition).
  • the latter can further save power consumption of the terminal compared to the former.
  • it can be detected by capacitance or optical fingerprint detection. If the selection of the capacitance detection is performed to trigger the use of the partial fingerprint detection array for scanning, the determination may be included before determining whether the average gray value corresponding to the gray value data scanned by the partial fingerprint detection array exceeds the first threshold.
  • a partial fingerprint detection array is activated to perform fingerprint scanning to obtain gray value data.
  • the preliminary finger detection of the fingerprint identification area of the terminal is realized by using the capacitor electrode, that is, the preliminary finger detection of the fingerprint identification area of the terminal is realized by using the capacitance detection. That is, in order to achieve low power consumption, the fingerprint detection array is turned off when no finger touches the fingerprint recognition area, and the preliminary finger detection is performed by means of capacitance detection. When the capacitance value exceeds the capacitance threshold, it is initially determined that there is a finger touch. At this time, the partial fingerprint detection array is opened for fingerprint scanning to obtain the gray value on the sensing unit corresponding to the partial fingerprint detection array.
  • the gray value data here includes a collection of gray values on the corresponding sensing units obtained by fingerprint scanning of all partial fingerprint detection arrays.
  • the low-power detection method such as self-capacity detection is used for preliminary judgment, and the power consumption of the terminal can be reduced.
  • This test can be ended if the capacitance threshold is not exceeded. That is, it is possible to return to the step of continuing to perform the detection of the capacitance value on the capacitor electrode.
  • This embodiment does not limit the specific form of capacitance detection. For example, it may be self-capacity detection or mutual capacitance detection.
  • the average gray value exceeds the first threshold, it is proved that a conductor (which can be understood as an object to be detected on the fingerprint recognition area) contacts the surface of the fingerprint array at this time, and the contact area is sufficiently large. However, at this time, it is not excluded from other objects such as coins or smooth skin. Therefore, in order to improve the accuracy, all the fingerprint detection arrays caused by misjudgment are avoided, and the power consumption of the terminal is reduced. Further, it is necessary to further determine whether the surface of the conductor is uneven, that is, whether the surface texture of the object conforms to the characteristics of the fingerprint, thereby avoiding the fingerprint array.
  • the detection column When the detection column is covered by a smooth conductor such as a key, all the fingerprint detection arrays are triggered to be detected for power consumption, or are triggered by other conductors with particularly rough texture. That is, if the first threshold is exceeded, the degree of dispersion of the gradation data is calculated. Whether the object in the fingerprint identification area of the terminal is a fingerprint, that is, whether the surface texture of the object conforms to the characteristics of the fingerprint is determined by the degree of dispersion.
  • the number of gradation value data used in calculating the degree of dispersion is not limited in this embodiment.
  • the degree of dispersion may be calculated using all of the gray value data, or the gray value data of the selected portion may be used to calculate the degree of dispersion.
  • the embodiment does not limit the specific selection manner, and may be randomly selected, or may be selected according to the closeness of the contact object corresponding to the gray value (for example, selecting close contact). By further screening, for example, selecting the gray value data of the sensing unit corresponding to the fingerprint detecting array in close contact is more accurate, and the accuracy of the recognition can be improved.
  • the activation range of the corresponding setting may be changed due to the range of the calculation data selection. This embodiment is not limited herein.
  • the current test is terminated and the initial step is returned. For example, it is possible to return to the step of continuing to perform the detection of the capacitance value on the capacitor electrode.
  • the value of the degree of dispersion satisfies the starting condition, that is, whether it is within the starting range.
  • the start range here is a gray value interval, for example, a value exceeding the lower limit gray value (ie, the lower limit threshold) is less than the upper limit gray value (ie, the upper limit threshold), or a range larger than the set gray value. This embodiment does not limit the specific numerical value of the starting range.
  • determining whether the degree of dispersion is within the startup range includes:
  • the embodiment does not limit the size of the third degree of dispersion threshold, and may be determined according to actual conditions. If the starting range only sets the lower threshold, that is, the third dispersion threshold, when the degree of dispersion is less than the third dispersion threshold, the object is not a fingerprint, but a smooth conductor such as a smooth skin or a key. Therefore, the third discrete degree threshold can avoid the problem of false touches caused by smooth conductors such as skin, keys and the like. Improve the accuracy of fingerprint triggering. Further, the object at this time is likely to be a fingerprint, but there is also a degree of dispersion corresponding to a conductor that is coarser than the fingerprint, which is also within the starting range. Therefore, in order to avoid the problem of false touch caused by a rougher conductor, it is optional to determine whether the degree of dispersion is within the starting range:
  • the embodiment does not limit the size of the fourth dispersion degree threshold (ie, the upper threshold), and may be determined according to actual conditions.
  • the erroneous triggering of the smooth conductor smaller than the degree of dispersion of the fingerprint and the rough conductor larger than the degree of dispersion of the fingerprint is eliminated, thereby ensuring the reliability of the fingerprint triggering, thereby avoiding the fingerprint array.
  • the detection column is covered by a smooth conductor portion such as a key, the finger detection is always triggered to consume power, or it is triggered by another conductor having a particularly rough texture. That is, all fingerprint detection arrays caused by misjudgment are avoided, and the power consumption of the terminal is reduced.
  • all fingerprint detection arrays are activated for fingerprint scanning. If it is not within the startup range, the test is terminated. For example, it is possible to return to the step of continuing to detect the capacitance value on the self-capacitance electrode.
  • This embodiment does not limit the process of fingerprint recognition after fingerprint scanning by all fingerprint detection arrays, as long as fingerprint recognition can be implemented, for example, optical fingerprint detection.
  • the fingerprint identification method can determine that a conductor contacts the surface of the fingerprint detection array when the average gray value exceeds the first threshold, and the contact area is sufficiently large. Then, the degree of dispersion is used to further determine whether the surface of the conductor is uneven, that is, the surface texture of the conductor conforms to the characteristics of the fingerprint. Therefore, when the fingerprint detection array is covered by a smooth conductor portion such as a key, the entire fingerprint detection array is always triggered to be detected for power consumption, or is triggered by another conductor with particularly rough texture. That is, only when the degree of dispersion meets the condition, all fingerprint detection arrays are started to perform fingerprint scanning, which significantly improves the number of times all fingerprint detection arrays are turned on due to misjudgment of fingerprint objects, thereby reducing terminal power consumption.
  • the degree of dispersion of the gray value data may specifically include:
  • the corresponding degree of dispersion is calculated using the preselected gray value data.
  • the embodiment does not specifically limit the value of the second threshold.
  • the gray value data exceeding the second threshold is selected from the gray value data as the preselected gray value data, so as to ensure that the sensing units of the fingerprint detection array corresponding to the selected gray values are both Being in close contact with the conductor. That is, in the embodiment, it is determined whether the surface of the conductor is uneven, and the determining process is: selecting a sensing unit corresponding to a part of the fingerprint detecting array from the partial fingerprint detecting array, and the gray values on the sensing units need to exceed the second threshold. It is to ensure that these selected sensing units are in close contact with the conductors, and then calculate the dispersion of the gray values of the sensing units.
  • the degree of dispersion When the degree of dispersion is within the value corresponding to the starting range (eg, exceeding the lower threshold and less than the upper threshold, or only exceeding the lower threshold), it is determined that the surface texture of the conductor conforms to the characteristics of the fingerprint. Therefore, when the fingerprint array is covered by the smooth conductor portion such as the key, the fingerprint detection array is always triggered to be detected for power consumption, or is triggered by another conductor with particularly rough texture. That is, only when the degree of dispersion satisfies the condition, all fingerprint detection arrays are started to perform fingerprint scanning, which significantly improves the number of times all the fingerprint detection arrays are turned on due to misjudgment of the fingerprint object, thereby reducing the power consumption of the terminal.
  • the degree of dispersion satisfies the condition
  • all of the preselected gradation value data may be used as the calculation source data, or the calculation amount may be selected by selecting a predetermined ratio of preselected gradation value data from the preselected gradation value data as the dispersion gradation.
  • the value data is then calculated using the dispersion to calculate the corresponding degree of dispersion.
  • the former calculates the degree of dispersion more accurately, while the latter calculates less amount of hardware resources, and the user can determine it according to the actual situation.
  • the numerical value of the predetermined ratio is not limited in the embodiment.
  • the predetermined ratio may be all pre-selected gray values, or may be 90% pre-selected gray values. Users can set according to the actual situation.
  • the capacitance threshold is set to 2 pF
  • the first threshold is 100
  • the second threshold is 80
  • the lower threshold of the startup range ie, the third dispersion threshold
  • the upper threshold ie, the fourth dispersion threshold
  • the gray grid in the figure below is a partial fingerprint detection array used for finger detection. Simulate a finger detection process based on the above thresholds as follows:
  • the capacitance value is detected as 1pF. Since 1pF ⁇ 2pF threshold, the self-capacity detection is continued.
  • the capacitance value is detected as 2.2pF, due to 2.2pF. >2pF, thus opening part of the fingerprint detection array;
  • the current state at time T3 is partial fingerprint detection array detection, and the average value of gray value obtained by some fingerprint detection arrays is 90. Since 90 ⁇ 100, part of the fingerprint detection array is closed.
  • the self-capacity value is detected to be 2.1pF.
  • the current state at time T5 is partial fingerprint detection array detection, part The average value of the gray value obtained by the fingerprint detection array is 105. Since 105>100, the next step is to select an effective contact sensing unit from the partial fingerprint detection array; the current state at time T6 is to select a part of the effective contact sensing unit, and the gray value (The sensing value of the sensing unit) may be the corresponding gray value obtained at time T5, and may be selected according to the second threshold. For example, the result of the selection is as follows: the dark gray grid shown in FIG.
  • the gray value corresponding to the dark gray grid is More than 80, and the gray value corresponding to the light gray grid is less than 80;
  • the current state at time T7 is the degree of dispersion of calculating the gray value of the effective contact sensing unit, and the gray value (the sensing value of the sensing unit) is obtained using the time T5.
  • Corresponding gray value can be used. It is assumed that the calculated degree of dispersion is 20, because 15 ⁇ 20 and 20 ⁇ 50, it is judged that this is effective finger detection.
  • the embodiment may further include:
  • the embodiment does not limit the specific predetermined time and the value of the number of times threshold, but this time should be a small time interval. For example 10 seconds. That is, if the number of times in which the degree of dispersion is not within the starting range within 10 seconds (that is, the conductor in the fingerprint recognition area is considered to be not a finger) exceeds the threshold of the number of times, a prompt message is issued.
  • the prompt information can prompt the user, so that the user can adjust according to the actual situation, for example, the non-fingerprint contact, or the user uses the finger but has a misjudgment, and the adjustment range can be adaptively adjusted at this time.
  • the terminal may also be prompted to receive the feedback information of the user after receiving the prompt information, and adjust the startup range according to the feedback information of the user. That is, through the prompt information, the reliability of the startup range can be ensured, and the recognition accuracy can be improved while reducing the power consumption of the terminal, thereby improving the user experience.
  • the apparatus for identifying fingerprints, the terminal, and the computer readable storage medium provided by the embodiments of the present invention are described below.
  • the apparatus, terminal, and computer readable storage medium described below and the fingerprint identification method described above can be mutually referenced. .
  • FIG. 5 is a schematic structural diagram of a device for fingerprint identification according to an embodiment of the present invention.
  • the first determining module 100 is configured to determine whether an average gray value corresponding to the gray value data scanned by the partial fingerprint detecting array exceeds a first threshold
  • the discreteness calculation module 200 is configured to calculate a degree of dispersion of the gray value data when the average gray value exceeds the first threshold;
  • the second determining module 300 is configured to determine whether the degree of dispersion is within the startup range
  • the startup module 400 is configured to start all fingerprint detection arrays for fingerprint scanning when the degree of dispersion is within the startup range.
  • the apparatus may further include:
  • the capacitance detecting module 500 is configured to detect a capacitance value on the capacitor electrode
  • the third determining module 600 is configured to determine whether the capacitance value exceeds a capacitance threshold
  • the detecting module 700 is configured to start a partial fingerprint detecting array to perform fingerprint scanning to obtain gray value data when the capacitance value exceeds the capacitance threshold.
  • the discreteness calculation module 200 can include:
  • a first selection unit configured to select gray value data exceeding a second threshold from the gray value data as the preselected gray value data; wherein the second threshold is greater than the first threshold;
  • a discreteness calculation unit is configured to calculate a corresponding degree of dispersion using the preselected gray value data.
  • the apparatus may further include:
  • the prompting module is configured to count the number of times that the discrete degree of occurrence is not within the starting range within a predetermined time; when the number of times is greater than the threshold of the number of times, a prompt message is sent.
  • FIG. 7 is a structural block diagram of a terminal with a fingerprint identification function according to an embodiment of the present invention.
  • the terminal may vary considerably depending on configuration or performance, and may include one or more central processing units (CPU) 810 (eg, one or more processors) and memory 832, one or more stores.
  • Application 842 or storage medium 830 of data 844 eg, one or one storage device in Shanghai.
  • the memory 832 and the storage medium 830 may be short-term storage or persistent storage.
  • Memory 832 and storage medium 830 may also exist as a unified memory.
  • the program stored on storage medium 830 may include one or more modules (not shown), each of which may include a series of instruction operations in the terminal.
  • the processor 812 can be configured to communicate with the storage medium 830 to perform a series of instruction operations in the storage medium 830 on the terminal 800.
  • Terminal 800 may also include one or more power supplies 826, one or more wired or wireless network interfaces 850, one or more input and output interfaces 858, and/or one or more operating systems 841, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM and more.
  • operating systems 841 such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM and more.
  • the disclosed system, apparatus, and method may be implemented in other manners.
  • the terminal embodiments described above are merely illustrative.
  • the division of modules or units is only a logical function division.
  • there may be another division manner for example, multiple modules or units may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device, module or unit, and may be electrical, mechanical or otherwise.
  • the units described as separate components may or may not be physically separate, and the components displayed as modules or units may or may not be physical modules or units, ie may be located in one place, or may be distributed to multiple network modules. Or on the unit. Some or all of the modules or units may be selected according to actual needs to achieve the objectives of the solution of the embodiment.
  • each functional module or unit in each embodiment of the present application may be integrated into one processing unit, or each module or unit may exist physically separately, or two or more modules or units may be integrated into one processing unit. in.
  • the above integrated modules or units can be implemented in the form of hardware or in the form of software functional modules or units.
  • An integrated unit if implemented as a software function module or unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • the technical solution of the present application in essence or the contribution to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium.
  • a number of instructions are included to cause a computer device (which may be a personal computer, a function invoking device, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like, which can store program codes. .
  • the steps in the method of each embodiment of the present invention may be sequentially adjusted, merged, and deleted according to actual needs.
  • the modules and units in the devices and terminals of the embodiments of the present invention may be combined, divided, and deleted according to actual needs.
  • the steps of a method or algorithm described in connection with the embodiments disclosed herein can be implemented directly in hardware, a software module executed by a processor, or a combination of both.
  • the software module can be placed in random access memory (RAM), memory, read only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or technical field. Any other form of storage medium known.

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Abstract

Procédé et dispositif de reconnaissance d'empreintes digitales, terminal, et support de stockage lisible par ordinateur, le procédé comportant les étapes consistant à: déterminer si une valeur moyenne de niveau de gris correspondant à des données de valeurs de niveau de gris numérisées par un réseau de détection partielle d'empreintes digitales dépasse un premier seuil; si le premier seuil est dépassé, calculer le degré discret des données de valeurs de niveau de gris; déterminer si le degré discret se situe à l'intérieur d'une plage de démarrage; et s'il se situe à l'intérieur de la plage de démarrage, démarrer tous les réseaux de détection d'empreintes digitales pour une numérisation d'empreintes digitales. Le procédé ne démarre tous les réseaux de détection d'empreintes digitales que lorsqu'un objet à l'intérieur d'une zone de reconnaissance d'empreintes digitales de terminal est déterminé comme étant une empreinte digitale, autrement dit, si la texture de surface de l'objet est conforme à des caractéristiques de l'empreinte digitale, empêchant que tous les réseaux de détection d'empreintes digitales ne soient allumés du fait d'une détermination erronée, et réduisant la consommation d'énergie de terminal.
PCT/CN2018/106950 2017-09-26 2018-09-21 Procédé et dispositif de reconnaissance d'empreintes digitales, terminal, et support de stockage lisible par ordinateur WO2019062660A1 (fr)

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