WO2019242644A1 - Procédé et appareil de vérification de ticket sur la base d'une image d'interface de vérification de ticket manuelle, support et dispositif électronique - Google Patents

Procédé et appareil de vérification de ticket sur la base d'une image d'interface de vérification de ticket manuelle, support et dispositif électronique Download PDF

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Publication number
WO2019242644A1
WO2019242644A1 PCT/CN2019/091898 CN2019091898W WO2019242644A1 WO 2019242644 A1 WO2019242644 A1 WO 2019242644A1 CN 2019091898 W CN2019091898 W CN 2019091898W WO 2019242644 A1 WO2019242644 A1 WO 2019242644A1
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Prior art keywords
image
ticket
ticket checking
area image
area
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Application number
PCT/CN2019/091898
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English (en)
Chinese (zh)
Inventor
郁昌存
安耀祖
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京东数字科技控股有限公司
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Publication of WO2019242644A1 publication Critical patent/WO2019242644A1/fr

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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B11/00—Apparatus for validating or cancelling issued tickets
    • G07B11/02—Apparatus for validating or cancelling issued tickets for validating inserted tickets
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/56—Extraction of image or video features relating to colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/14—Image acquisition
    • G06V30/148—Segmentation of character regions
    • G06V30/153—Segmentation of character regions using recognition of characters or words
    • 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
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • 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
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B11/00—Apparatus for validating or cancelling issued tickets
    • G07B11/11—Apparatus for validating or cancelling issued tickets for cancelling tickets
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition

Definitions

  • the present invention relates to the technical field of ticket gates and face recognition technology, and in particular, to a ticket checking method based on a manual ticket checking interface image and a ticket checking device based on a manual ticket checking interface image.
  • the purpose of the embodiments of the present invention is to provide a ticket checking method based on an image of a manual ticket checking interface and a ticket checking device based on an image of a manual ticket checking interface, so as to overcome at least a certain degree of difficulty in reconstruction due to limitations and defects of related technologies , High cost, and easy leakage of passenger personal information.
  • a ticket checking method based on an image of a manual ticket checking interface including:
  • Obtaining an image of a manual ticket checking interface wherein the image of the manual ticket checking interface includes at least a first area image, a second area image, and a third area image;
  • the parsing the first area image to obtain a blur value, and determining whether the first area image is a ticket picture based on the blur value including:
  • the blur value of the first area image is less than a preset threshold, it is determined that the first area image is empty.
  • the parsing the second area image to determine a dominant color of the second area image, and determining a ticket status based on the dominant color including:
  • a ticket verification result is determined.
  • determining the ticket verification result based on the dominant color of the second region image includes:
  • the dominant color of the second region image is not green, determining whether the dominant color of the second region image is red;
  • the method further includes:
  • the parsing the third region image to obtain a credential image includes:
  • the portrait image is extracted to obtain a credential image.
  • matching the credential image with a face image collected by a camera to obtain a matching result and outputting the matching result includes:
  • a ticket checking device based on an image of a manual ticket checking interface, including: an acquisition module, a first analysis module, a second analysis module, a third analysis module, and a matching module;
  • An obtaining module configured to obtain an image of a manual ticket checking interface, wherein the image of the manual ticket checking interface includes at least a first area image, a second area image, and a third area image;
  • a first analysis module configured to analyze the first area image to obtain a blur value, and determine whether the first area image is a ticket picture based on the blur value
  • a second analysis module configured to analyze the second area image, determine a dominant color of the second area image, and determine a ticket status based on the dominant color
  • a third analysis module configured to: when it is determined that the first area image is a ticket picture and the ticket status is consistent, analyze the third area image to obtain a certificate image;
  • a matching module is configured to match the document image with a face image collected by a camera to obtain a matching result, and perform a ticket check based on the matching result.
  • the first parsing module is specifically configured to:
  • the blur value of the first area image is less than a preset threshold, it is determined that the first area image is empty.
  • the second parsing module is specifically configured to:
  • a ticket verification result is determined.
  • the second parsing module is specifically configured to:
  • the dominant color of the second region image is not green, determining whether the dominant color of the second region image is red;
  • the second parsing module is specifically configured to:
  • the third parsing module is specifically configured to:
  • the portrait image is extracted to obtain a credential image.
  • the matching module is specifically configured to:
  • a computer-readable medium having stored thereon a computer program that, when executed by a processor, implements a manual ticket-based interface as described in the first aspect of the above embodiment.
  • Image checking method
  • an electronic device including: one or more processors; a storage device for storing one or more programs, and when the one or more programs are used by the one When being executed by one or more processors, the one or more processors are caused to implement the ticket checking method based on the manual ticket checking interface image as described in the first aspect of the foregoing embodiment.
  • an image of a manual ticket checking interface is obtained, wherein the image of the manual ticket checking interface includes at least a first area image, a second area image, and a third area image;
  • the area image is analyzed to obtain a blur value, and whether the first area image is a ticket picture is determined based on the blur value;
  • the second area image is analyzed to determine the dominant color of the second area image.
  • the dominant color determines the ticket status; when it is determined that the first area image is a ticket picture and the ticket status is consistent, the third area image is analyzed to obtain a credential image; the credential image and a camera
  • the collected face images are matched to obtain a matching result, and the ticket is checked based on the matching result.
  • the traditional manual ticket checking system can be transformed into a device where passengers can brush their faces and enter the station in a low-cost and non-invasive manner.
  • the coupling degree of each module in the device provided by the embodiment of the present invention is low, the gate can be reused, and the application can be migrated. , Provides a transitional solution for the implementation of later electronic tickets, greatly reducing the waste of resources.
  • FIG. 1 schematically illustrates a flowchart of a ticket checking method based on a manual ticket checking interface image according to an embodiment of the present invention
  • FIG. 2 schematically illustrates an image of a manual ticket checking interface according to an embodiment of the present invention
  • FIG. 3A schematically illustrates that the first area image is ticket information according to an embodiment of the present invention
  • 3B schematically illustrates a first region image without ticket information according to an embodiment of the present invention
  • FIG. 4 is a schematic flowchart of determining whether a first area is a ticket image according to an embodiment of the present invention
  • FIG. 5 schematically illustrates a display content of a second region image in a traffic permission state according to an embodiment of the present invention
  • FIG. 6 schematically illustrates a display content of a second region image in a non-traffic state according to an embodiment of the present invention
  • FIG. 7 schematically illustrates a flowchart of determining a color of a second image region according to an embodiment of the present invention
  • FIG. 8 schematically illustrates a block diagram of a ticket checking device based on an image of a manual ticket checking interface according to an embodiment of the present invention
  • FIG. 9 is a schematic structural diagram of a computer system suitable for implementing an electronic device according to an embodiment of the present invention.
  • FIG. 1 schematically illustrates a flowchart of a ticket checking method based on an image of a manual ticket checking interface according to an embodiment of the present invention.
  • a ticket checking method based on a manual ticket checking interface image includes the following steps:
  • Step S110 obtaining an image of the manual ticket checking interface
  • Step S120 Analyze the first area image to obtain a blur value, and determine whether the first area image is a ticket picture based on the blur value;
  • Step S130 Analyze the second area image to determine the dominant color of the second area image, and determine the ticket status based on the dominant color;
  • Step S140 When it is determined that the first area image is a ticket picture and the ticket status is consistent, analyze the third area image to obtain a credential image;
  • Step S150 Match the document image with the face image collected by the camera to obtain a matching result, and perform a ticket check based on the matching result.
  • the technical solution of the embodiment shown in FIG. 1 can transform the traditional manual ticket checking system into a device that passengers can brush their faces and enter the station in a low cost and non-invasive manner by analyzing the images of the existing manual ticket checking interface.
  • the devices provided in the embodiments have a low coupling degree, reusable gates, and application migration, which provides a transition solution for the implementation of later electronic tickets, which greatly reduces the waste of resources.
  • step S110 an image of a manual ticket checking interface is acquired.
  • the image of the manual ticket checking interface includes at least three regions: a first region image 201, a second region image 202, and a third region image 203, wherein the first region image 201 may be a passenger ticket image, and the ticket image may be obtained through a ticket collection device provided on a ticket gate, such as a scanner, a code scanning device, a camera, and the like; the second area image 202 may be a ticket verification result of a manual ticket checking system
  • the text and background color are displayed in the image of the area.
  • the text indicates the ticket verification result.
  • the background color is green, red, yellow, or orange. Generally, there is a certain correspondence between the background color and the text.
  • the third area image 203 may be the passenger's ID information, including: name, ID number, ID image and other information.
  • key information is extracted from the interface of the existing manual ticket checking system, and this information will be used to determine the passage of passengers. Basis of status.
  • step S120 the first area image is analyzed to obtain a blur value, and whether the first area image is a ticket picture is determined based on the blur value.
  • the first region image mainly has two states, as shown in FIG. 3A with ticket information, and as shown in FIG. 3B No ticket information is shown. Therefore, it is necessary to determine whether the passenger has placed the ticket on the ticket collection device of the ticket gate to remind the passenger to present the ticket and obtain the ticket information during the check.
  • FIG. 4 is a schematic flowchart of determining whether the first area is a ticket image according to an embodiment of the present invention. As shown in FIG. 4, the method includes the following steps:
  • Step S410 extracting R-channel data of the first region image, and obtaining a blur value of the first-region image based on the R-channel data;
  • the calculation of the blur value may be performed by using a Laplacian of the image, and the formula is as follows:
  • x and y represent Cartesian coordinates on the two-dimensional plane X-Y.
  • Step S420 comparing the blur value of the first region image with a preset threshold
  • Step S430 The blur value of the first area image is greater than or equal to a preset threshold, and it is determined that the first area image is a parity image;
  • step S440 if the blur value of the first region image is less than a preset threshold, it is determined that the first region image is empty.
  • step S130 the second area image is analyzed to determine the dominant color of the second area image, and the ticket status is determined based on the dominant color.
  • the second area image is a manual ticket verification result, and the verification result includes two states of allowed traffic and not allowed traffic, wherein, as shown in FIG. 5, the second area image in the allowed traffic state
  • the display content can include: (1) the text of "the ticket is unanimously approved” and a green background color 501; (2) the text of "the ticket has been checked” and the orange background color 502; (3) "on the station in front "Car” text content and yellow background color 503; as shown in Figure 6, the display content of the second area image in the above-mentioned disallowed traffic state may include: (1) the text content of "the ticket does not match” and the red background color 601 ; (2) the text of "Ticket Expired” and the red background color 602; (3) the text of "No Ticket Time” and the yellow background color 603; (4) The text of "The car does not pass this station” Content and a yellow background color 604; (5) the text content of "Need to verify ID card” and a yellow background color 605.
  • the second region image needs to be parsed to determine the ticket verification result.
  • the RGB color space of the second region image is converted to the HSV color space; wherein, the RGB color The space includes at least the superimposed data of red, green, and blue colors in the second region image.
  • the HSV color space includes at least the hue data, saturation data, and brightness data of the second region image.
  • the hue data in the HSV color space is analyzed.
  • the dominant color of the image of the second region is determined; based on the dominant color of the image of the second region, a ticket verification result is determined.
  • the color judgment is to convert the picture from the RGB space to the HSV color space by counting the pixel interval distribution of the H component in the HSV color space of the second region image.
  • the H parameter represents color information. , That is, the position of the spectral color. This parameter is expressed by an angle. Red, green, and blue are separated by 120 degrees.
  • the interval of the H component in the HSV space of each pixel in the picture is analyzed to find the corresponding color.
  • the statistical dominant color of the picture is the color of the ticket verification result we want.
  • the judgment process includes the following steps:
  • Step S701 determining a color interval of the second region image
  • Step S702 it is judged whether it is green; if it is, then the result of matching the tickets is determined S703; if not, step S704 is performed;
  • Step S704 determine whether it is red; if yes, determine the result of the ticket being invalid S705; if not, perform step S706
  • step S706 it is determined that the color of the second region image is yellow or orange, and text recognition and regular matching are performed on the second region image. If there is a match, a consistent result of the ticket is determined S707; if it does not match, the ticket verification result is determined as To be determined S708, passengers are reminded to go through the manual ticket gate.
  • step S706 the second area image whose ticket verification result is pending is subjected to binarization processing to obtain a black and white image of the text; the black and white image is horizontally and vertically projected to determine the second The text area of the area image; identify the text in the text area of the second area image.
  • step S140 when it is determined that the first area image is a ticket picture and the ticket status is consistent, the third area image is analyzed to obtain a credential image.
  • a face detection is performed on a picture by using a Dlib face recognition algorithm on an ID card area to see if a photo of the document exists, so as to determine whether the user places a document.
  • step S150 the document image is matched with the face image collected by the camera to obtain a matching result, and a ticket is checked based on the matching result.
  • a face image of the passenger document image is obtained in step S150, and the passenger's face is obtained through a camera to be compared with the photo of the passenger's face, and the gate is opened when the face comparison is passed.
  • the traditional manual ticket checking system can be retrofitted non-invasively, and it can be empowered as a self-service face brushing station.
  • FIG. 8 schematically illustrates a block diagram of a ticket checking device based on an image of a manual ticket checking interface according to an embodiment of the present invention.
  • a ticket checking device 800 based on an image of a manual ticket checking interface includes: an acquisition module 801, a first analysis module 802, a second analysis module 803, a third analysis module 804, and a matching module. 805.
  • An obtaining module 801 is configured to obtain an image of a manual ticket checking interface, where the image of the manual ticket checking interface includes at least a first area image, a second area image, and a third area image;
  • a first analysis module 802 configured to analyze the first area image to obtain a blur value, and determine whether the first area image is a ticket picture based on the blur value;
  • a second analysis module 803, configured to analyze the second area image, determine a dominant color of the second area image, and determine a ticket status based on the dominant color;
  • a third analysis module 804 configured to: when it is determined that the first area image is a ticket picture and the ticket status is consistent, analyze the third area image to obtain a credential image;
  • the matching module 805 is configured to match the document image with the face image collected by the camera to obtain a matching result, and perform ticket checking based on the matching result.
  • the first parsing module 802 is specifically configured to:
  • the blur value of the first area image is greater than or equal to a preset threshold, and it is determined that the first area image is a parity image;
  • the blur value of the first area image is less than a preset threshold, it is determined that the first area image is empty.
  • the second parsing module 803 is specifically configured to:
  • the RGB color space of the second region image Converting the RGB color space of the second region image into the HSV color space; wherein the RGB color space includes at least the superimposed data of the red, green, and blue colors in the second region image, and the HSV color space includes at least the hue data of the second region image , Saturation data and brightness data;
  • a ticket verification result is determined.
  • the second parsing module 803 is specifically configured to:
  • the dominant color of the second region image is not green, determine whether the dominant color of the second region image is red;
  • the second parsing module 803 is specifically configured to:
  • the third parsing module 804 is specifically configured to:
  • the portrait image is extracted to obtain a credential image.
  • the matching module 805 is specifically configured to:
  • the ticket checking is determined to be successful, a matching result of the ticket checking failure is generated, and a prompt message indicating that the ticket checking fails is issued.
  • each functional module of the ticket checking device based on the manual ticket checking interface image of the exemplary embodiment of the present invention corresponds to the steps of the above-mentioned example embodiment of the ticket checking method based on the manual ticket checking interface image, details that are not disclosed in the device embodiments of the present invention Please refer to the foregoing embodiment of the ticket checking method based on the manual ticket checking interface image of the present invention.
  • FIG. 9 is a schematic structural diagram of a computer system 900 suitable for implementing an electronic device according to an embodiment of the present invention.
  • the computer system 900 of the electronic device shown in FIG. 9 is only an example, and should not impose any limitation on the function and scope of use of the embodiment of the present invention.
  • the computer system 900 includes a central processing unit (CPU) 901 which can be loaded into a random access memory (RAM) 903 according to a program stored in a read-only memory (ROM) 902 or from a storage portion 1208 Instead, perform various appropriate actions and processes.
  • RAM random access memory
  • ROM read-only memory
  • various programs and data required for system operation are also stored.
  • the CPU 901, the ROM 902, and the RAM 903 are connected to each other through a bus 904.
  • An input / output (I / O) interface 905 is also connected to the bus 904.
  • the following components are connected to the I / O interface 905: an input portion 1206 including a keyboard, a mouse, and the like; an output portion 907 including a cathode ray tube (CRT), a liquid crystal display (LCD), and the speaker; a storage portion 908 including a hard disk and the like ; And a communication section 909 including a network interface card such as a LAN card, a modem, and the like.
  • the communication section 909 performs communication processing via a network such as the Internet.
  • the driver 910 is also connected to the I / O interface 905 as necessary.
  • a removable medium 99 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 910 as needed, so that a computer program read therefrom is installed into the storage section 908 as needed.
  • the process described above with reference to the flowchart may be implemented as a computer software program.
  • embodiments of the present invention include a computer program product including a computer program carried on a computer-readable medium, the computer program containing program code for performing the method shown in the flowchart.
  • the computer program may be downloaded and installed from a network through the communication portion 909, and / or installed from a removable medium 911.
  • this computer program is executed by a central processing unit (CPU) 901
  • CPU central processing unit
  • the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the foregoing.
  • the computer-readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programming read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the foregoing.
  • the computer-readable storage medium may be any tangible medium containing or storing a program, and the program may be used by or in combination with an instruction execution system, apparatus, or device.
  • the computer-readable signal medium may include a data signal propagated in baseband or transmitted as a part of a carrier wave, in which a computer-readable program code is carried. Such a propagated data signal may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • the computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, and the computer-readable medium may send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device.
  • Program code embodied on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
  • each block in the flowchart or block diagram may represent a module, program segment, or part of code, which contains one or more of the logic functions used to implement the specified logic. Executable instructions.
  • the functions labeled in the blocks may also occur in a different order than those labeled in the drawings. For example, two blocks represented one after the other may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved.
  • each block in the block diagram or flowchart, and combinations of blocks in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with A combination of dedicated hardware and computer instructions.
  • the units described in the embodiments of the present invention may be implemented by software or hardware.
  • the described units may also be provided in a processor.
  • the names of these units do not, in some cases, define the unit itself.
  • the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device in.
  • the computer-readable medium carries one or more programs, and when the one or more programs are executed by one of the electronic devices, the electronic device implements the screen control implementation and display method as in the above embodiment.
  • step S110 obtaining an image of a manual ticket checking interface
  • step S120 analyzing the first area image to obtain a blur value, and determining whether the first area image is based on the blur value Ticket picture
  • step S130 analyzing the second area image to determine the dominant color of the second area image, and determining the ticket status based on the dominant color
  • step S140 when determining that the first area image is a ticket image and the ticket status is consistent , Analyzing the third region image to obtain a credential image
  • step S150 matching the credential image with the face image collected by the camera to obtain a matching result, and checking the ticket based on the matching result.
  • the above electronic device can implement each step shown in FIG. 4.
  • the above electronic device can implement each step shown in FIG. 7.
  • modules or units of the device for action execution are mentioned in the detailed description above, this division is not mandatory.
  • the features and functions of two or more modules or units described above may be embodied in one module or unit.
  • the features and functions of a module or unit described above can be further divided into multiple modules or units to be embodied.
  • the technical solution according to the embodiment of the present invention may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a U disk, a mobile hard disk, etc.) or on a network It includes several instructions to enable a computing device (which may be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiment of the present invention.
  • a computing device which may be a personal computer, a server, a touch terminal, or a network device, etc.

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Abstract

L'invention concerne un procédé et un appareil de vérification de ticket basés sur une image d'interface de vérification de ticket manuelle, un support et un dispositif électronique, ledit procédé consistant à : acquérir une image d'interface de vérification de ticket manuelle (S101) ; analyser une première image de région (201) pour obtenir une valeur de flou, et déterminer, sur la base de la valeur de flou, si la première image de région (201) est une image de ticket (S102) ; analyser une deuxième image de région (202) pour déterminer un état de ticket (S103) ; s'il est déterminé que la première image de région (201) est l'image de ticket et que l'état de ticket est cohérent, analyser une troisième image de région (203) pour obtenir une image de justificatif d'identité (S104) ; et comparer l'image de certificat d'identité avec une image de visage capturée par une caméra pour obtenir un résultat de comparaison, et réaliser une vérification de ticket sur la base du résultat de comparaison (S105). La présente invention permet à un utilisateur d'effectuer un balayage de visage en libre-service pour vérifier, sur la base d'un système de vérification de ticket manuelle classique d'une manière non intrusive, et obtient les avantages suivants : le degré de couplage entre divers modules est faible, des machines à porte peuvent être réutilisées, et les applications peuvent être passées, réduisant le gaspillage de ressources.
PCT/CN2019/091898 2018-06-20 2019-06-19 Procédé et appareil de vérification de ticket sur la base d'une image d'interface de vérification de ticket manuelle, support et dispositif électronique WO2019242644A1 (fr)

Applications Claiming Priority (2)

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CN201810639160.9 2018-06-20
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