WO2021164571A1 - 信息处理方法、装置、设备及介质 - Google Patents

信息处理方法、装置、设备及介质 Download PDF

Info

Publication number
WO2021164571A1
WO2021164571A1 PCT/CN2021/075342 CN2021075342W WO2021164571A1 WO 2021164571 A1 WO2021164571 A1 WO 2021164571A1 CN 2021075342 W CN2021075342 W CN 2021075342W WO 2021164571 A1 WO2021164571 A1 WO 2021164571A1
Authority
WO
WIPO (PCT)
Prior art keywords
information
face
target
payment
image
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2021/075342
Other languages
English (en)
French (fr)
Inventor
于文海
郭伟
祖立军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Unionpay Co Ltd
Original Assignee
China Unionpay Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Unionpay Co Ltd filed Critical China Unionpay Co Ltd
Publication of WO2021164571A1 publication Critical patent/WO2021164571A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/38Payment protocols; Details thereof
    • G06Q20/40Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
    • G06Q20/401Transaction verification
    • G06Q20/4014Identity check for transactions
    • G06Q20/40145Biometric identity checks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/30Payment architectures, schemes or protocols characterised by the use of specific devices or networks
    • G06Q20/36Payment architectures, schemes or protocols characterised by the use of specific devices or networks using electronic wallets or electronic money safes
    • G06Q20/367Payment architectures, schemes or protocols characterised by the use of specific devices or networks using electronic wallets or electronic money safes involving electronic purses or money safes
    • G06Q20/3674Payment architectures, schemes or protocols characterised by the use of specific devices or networks using electronic wallets or electronic money safes involving electronic purses or money safes involving authentication

Definitions

  • the present invention belongs to the field of information processing technology, and in particular relates to an information processing method, device, equipment and medium.
  • the existing mobile payment methods mainly include: static QR code scan code payment, dynamic QR code scan code payment, flash payment and face payment.
  • the static QR code scanning payment method because the static QR code of the payee will not change once it is generated, and the static QR code is always facing others, so that others can obtain the payee through the static QR code At the same time, the static QR code still has the risk of being exchanged by others, which reduces the security of the payee’s account and the security of payment transactions;
  • a display device used to display the payee’s dynamic QR code A collection device with flash payment collection function or a collection device with face collection and living body detection functions increase the cost of payment transactions.
  • the embodiments of the present invention provide an information processing method, device, equipment, and medium, which can improve the security of the payee's account and the security of payment transactions, and reduce the cost of payment transactions.
  • an embodiment of the present invention provides an information processing method, including:
  • the payment information is sent to the first electronic device, so that the first electronic device displays a payment interface corresponding to the payment information.
  • an embodiment of the present invention provides an information processing method, including:
  • the payment interface corresponding to the payment information is displayed.
  • an information processing device including:
  • the first request receiving module is configured to receive a payment information acquisition request sent by the first electronic device, where the payment information acquisition request includes the first face collection image of the target payee;
  • An index information determination module configured to determine the target index information corresponding to the first face collection image in response to the payment information acquisition request
  • the payment information generating module is used to generate payment information according to the target account information corresponding to the target index information;
  • the payment information sending module is used to send the payment information to the first electronic device, so that the first electronic device displays the payment interface corresponding to the payment information.
  • an information processing device including:
  • the first input receiving module is used to receive the user's first input to the target application
  • the first image acquisition module is configured to acquire the first face collection image of the target payee in response to the first input
  • the first request sending module is configured to send a payment information acquisition request to the application server corresponding to the target application, so that the application server, in response to the payment information acquisition request, determines the target index information corresponding to the first face collection image, and based on the target index information Generate payment information corresponding to the target account information, where the payment information acquisition request includes the first face collection image;
  • Payment information receiving module for receiving payment information sent by the application server
  • the payment interface display module is used to display the payment interface corresponding to the payment information.
  • an embodiment of the present invention provides an information processing device, the device including: a processor and a memory storing computer program instructions;
  • the processor implements the information processing method as described in the first aspect or the second aspect when the computer program instructions are executed.
  • an embodiment of the present invention provides a computer-readable storage medium with computer program instructions stored on the computer-readable storage medium, and when the computer program instructions are executed by a processor, the Information processing methods.
  • the information processing method, device, device, and medium of the embodiments of the present invention can use the first face of the target payee sent by the first electronic device to collect images, determine the target index information, and determine the target account according to the target index information.
  • the information generates payment information, so that the first electronic device obtains the payment information of the target payee and directly displays the payment interface corresponding to the payment information. Since the first electronic device can directly open the corresponding payment interface only by collecting images from the face, There is no need to use additional static QR codes. Therefore, it can avoid the leakage of the payee’s account information, improve the security of the payee’s account, and also prevent the payee’s receiving account information from being exchanged, thereby enhancing the security of payment transactions sex.
  • the payer can directly use the first electronic device to complete the entire payment transaction without the need for the payee to use additional equipment, which reduces the cost of the payment transaction.
  • FIG. 1 is a schematic flowchart of an information processing method provided by an embodiment of the present invention
  • FIG. 2 is a schematic flowchart of an information processing method provided by another embodiment of the present invention.
  • Figure 3 is a system architecture diagram of an information processing system provided by an embodiment of the present invention.
  • FIG. 4 is an example of the information processing flow of the information processing system shown in FIG. 3;
  • FIG. 5 is another example of the information processing flow of the information processing system shown in FIG. 3;
  • FIG. 6 is a schematic structural diagram of an information processing device provided by an embodiment of the present invention.
  • FIG. 7 is a schematic structural diagram of an information processing device provided by another embodiment of the present invention.
  • FIG. 8 is a schematic diagram of the hardware structure of an information processing device provided by an embodiment of the present invention.
  • the existing mobile payment methods mainly include: static QR code scan code payment, dynamic QR code scan code payment, flash payment and face payment.
  • the static QR code scanning payment method is: the payer uses the payment device to scan the static QR code to obtain the payment interface used to pay the payee, and complete the payment transaction in the payment interface. Because the static QR code generation is simple and convenient, the static QR code scanning payment method occupies a wide market share in the mobile payment field, especially the small and micro market.
  • the dynamic QR code scanning payment method is: the payee uses the display device to display the dynamic QR code, and the payer uses the payment device to scan the dynamic QR code to obtain the payment interface used to pay the payee, and the payment interface Complete the payment transaction within. Since the dynamic two-dimensional code can dynamically transform the encoding information of the two-dimensional code, the two-dimensional code information after the timeout is automatically invalidated, making the transaction process more secure.
  • the flash payment payment method is: the payee uses the payment device with the flash payment collection function to obtain the payer's mobile wallet or the account information of the bank card with the flash payment payment function to complete the payment transaction.
  • the receiving device may specifically be a device supporting Near Field Communication (NFC) technology, so that the payee and the payer can complete payment transactions conveniently and quickly.
  • NFC Near Field Communication
  • the face-scanning payment method is: the payee collects the face image of the payer using a payee device with a face collection function, and the payee device obtains the payer's account information through face recognition technology to complete the payment transaction.
  • the payee needs to use additional equipment for payment transactions, for example, a display device used to display the payee’s dynamic QR code , A collection device with flash payment collection function or a collection device with face collection function, which increases the cost of payment transactions.
  • the face image may be obtained without the payee's knowledge, resulting in the leakage of account information, which reduces the security of the payer's account.
  • embodiments of the present invention provide an information processing method, device, equipment, and medium. The following first introduces the information processing method provided by the embodiment of the present invention.
  • Fig. 1 shows a schematic flowchart of an information processing method provided by an embodiment of the present invention.
  • the method shown in FIG. 1 may be executed by an application server of a target application, where the target application may be an application with a payment transaction function, and the application server may be a high-performance electronic calculator.
  • the information processing method may include:
  • S110 Receive a payment information acquisition request sent by the first electronic device, where the payment information acquisition request includes the first face collection image of the target payee;
  • S140 Send the payment information to the first electronic device, so that the first electronic device displays a payment interface corresponding to the payment information.
  • the first face collection image of the target payee sent by the first electronic device can be used to determine the target index information, and the payment information can be generated according to the target account information corresponding to the target index information, so that the An electronic device obtains the payment information of the target payee, and directly displays the payment interface corresponding to the payment information. Since the first electronic device can directly open the corresponding payment interface by only collecting images from the face, no additional static QR code is required Therefore, it is possible to avoid the leakage of the payee’s account information, improve the security of the payee’s account, and also prevent the payee’s account information from being exchanged, thereby enhancing the security of the payment transaction. In addition, the payer can directly use the first electronic device to complete the entire payment transaction without requiring the receiver to use additional equipment, which reduces the cost of the payment transaction.
  • the first electronic device may be a payment device used by the payer, and the target application is installed on the payment device.
  • the payment device may specifically be a mobile phone, a tablet computer, a smart watch, etc.
  • the payment device can be used to collect the first face collection image of the target payee, and send the payment information carrying the first face collection image to the application server. ask.
  • the application server may feed back the payment information corresponding to the payment information acquisition request to the first electronic device based on the first face collection image.
  • the specific method of S120 may include:
  • each preset face image is indirectly associated with the preset account information through index information that is uploaded by the payee to the application server when the corresponding payee registers the preset account information. Stored face image.
  • the application server may be based on the face recognition technology to identify the target face image matching the first face collection image among multiple preset face images, and then obtain the target index information stored in association with the target face image . Therefore, it is possible to accurately obtain the target index information corresponding to the first face collection image based on the face recognition technology, improve the reliability of the generated payment information, and thereby improve the security of the payment transaction.
  • the target face image may be a face image similar to the first face acquisition image.
  • the specific method for identifying the target face image matching the first face collection image among the plurality of preset face images may include:
  • the target face image is determined.
  • the application server may determine the face similarity between each preset face image and the first face collection image based on the face recognition technology.
  • the face recognition technology can be any existing face recognition technology, as long as the face similarity between the preset face image and the first face collection image can be determined, and there is no limitation here.
  • the specific method for determining the target face image according to the face similarity may include:
  • the first face image is used as the target face image.
  • the obtained face is the same as the first face acquisition image.
  • the preset face image can be expressed as the first face image, that is, there is only one of the multiple preset face images with the largest face similarity.
  • the first face image can be directly used as the target face image.
  • the first face collection image may be an image capture of the face of the target payee or a face image (such as a photo) of the payee placed in the merchant of the target payee.
  • the acquired face is captured in an image.
  • the payment information acquisition request may also include device location information of the first electronic device.
  • the specific method for determining the target face image according to the face similarity may include:
  • the second face image whose preset location information is the same as the device location information is used as the target face image.
  • the obtained face is the same as the first face acquisition image.
  • the preset face image can be expressed as the second face image, that is, there are multiple preset face images with the greatest face similarity.
  • each second face image is the same as the face similarity of the first face collection image.
  • the preset face image associated with the preset account information of each merchant It may be the same.
  • each preset face image can be marked with preset location information, and the marked preset
  • the location information can be regarded as information that can distinguish different businesses.
  • the location accuracy of the preset location information can be determined according to the smallest location difference between different merchants. For example, if the smallest location difference between different merchants is different prefecture-level cities, the preset location information can be as accurate as possible. Level city information, for example, if the smallest location difference between different businesses is different streets, the preset location information can be accurate to street information.
  • the preset location information marked by each second face image and the device location information of the first electronic device can be obtained, and the preset location information and the device location information of the second face can be obtained.
  • Image as the target face image.
  • the device location information of the first electronic device may be acquired by the target application in the first electronic device, and sent to the application server through a payment information acquisition request.
  • the first face collection image may be an image capture of the face of the target payee or a face image (such as a photo) of the payee placed in the merchant of the target payee.
  • the acquired face is captured in an image.
  • the target account information of the payer who wants to make a payment transaction can be accurately determined based on the device location information of the first electronic device. .
  • the specific method for determining the target face image according to the face similarity may include:
  • a third face image whose preset text information is the same as the image text information in the first face collection image is used as the target face image.
  • the obtained face is the same as the first face collection image.
  • the preset face image can be expressed as a third face image, that is, there are multiple preset face images with the greatest face similarity.
  • the third face image, each third face image is the same as the face similarity of the first face collection image.
  • the preset face image associated with the preset account information of each merchant It may be the same.
  • each preset face image can be marked with its corresponding preset text information, and the marked preset text information can be regarded as information that can distinguish different merchants.
  • the preset text information may be information such as a digital number and a merchant name corresponding to each merchant.
  • the first face collection image may be a face collection image obtained by photographing a face image (such as a photo) of the payee placed in the merchant of the target payee, where the person
  • the face image (for example, a photo) contains the above-mentioned image text information.
  • the image text information in the image collected by the first face can be used to accurately determine the payer who wants to conduct the payment transaction.
  • Target account information in the case where the payee has multiple receiving account information, the image text information in the image collected by the first face can be used to accurately determine the payer who wants to conduct the payment transaction.
  • the payment information acquisition request may also include device location information of the first electronic device.
  • the specific method for determining the face similarity between each preset face image and the first face collection image may include:
  • each preset face image may be marked with the geographic area to which the corresponding merchant belongs.
  • the regional level of the geographic area may be set as required.
  • the application server After the application server receives the device location information, it can determine the above-mentioned area level, determine the target area to which it belongs, and then filter preset faces with the same marked geographic area as the target area from multiple preset face images Image, and then determine the face similarity between each of the selected preset face images and the first face collection image.
  • the preset face images can be preliminarily screened based on the target area to which the device location information belongs, reducing the amount of data processing for calculating the face similarity, improving the efficiency of determining the face similarity, and reducing the payer’s waiting for payment Information time.
  • the payment information acquisition request may also include merchant information of the first electronic device, such as merchant name information.
  • the payer may input the merchant name information in the payment device before using the payment device to send the payment information acquisition request, so that the payment information acquisition request includes the merchant name information.
  • the specific method for determining the face similarity between each preset face image and the first face collection image may include:
  • each preset face image may be marked with its corresponding merchant name information.
  • the application server After the application server receives the payment information acquisition request, it filters the preset face images marked with the merchant name information from the multiple preset face images, and then determines the preset face image and the first face image that are filtered out. The face similarity of the collected images.
  • preset facial images can be preliminarily screened based on merchant information, reducing the amount of data processing for calculating facial similarity, improving the efficiency of determining facial similarity, and reducing the time the payer waits to obtain payment information.
  • the target face image may also be the same face image as the first face acquisition image.
  • the specific method for identifying the target face image matching the first face collection image among the plurality of preset face images may include:
  • the payee can upload a preset face image with a larger image difference for different preset account information.
  • the application server may determine the image similarity between each preset face image and the first face collection image, and then set the image similarity to 100%, that is, the preset same as the first face collection image
  • the face image is determined to be the fourth face image, and the fourth face image is taken as the target face image.
  • the first face collection image may be a face collection image obtained by photographing a face image (for example, a photo) of the payee placed in the merchant of the target payee.
  • the payment when the payee has multiple receiving account information, the payment can be accurately determined based on the image similarity between each preset face image and the first face collection image.
  • the specific method of S120 may include:
  • the facial feature data may be coordinate position data of the facial feature points in the normalized image.
  • the preset face feature data is coordinate position data of the face feature points in the normalized preset face image.
  • the first face feature is obtained.
  • the target face feature data with the highest data similarity.
  • the target index information stored in association with the target facial feature data is obtained.
  • the method for obtaining the preset facial feature data is similar to the method for obtaining the first facial feature data, and will not be repeated here.
  • the specific method of S130 may include:
  • the payment information is generated.
  • the target index information is stored in association with the target account information. Therefore, it is possible to directly query the target account information stored in association with the target index information in multiple preset account information.
  • the target account information may include at least the receiving account of the target payee, the user name corresponding to the receiving account, the user address corresponding to the receiving account, and the contact information of the target payee.
  • the application server can generate payment information based on the above information.
  • the method of generating payment information based on the target account information is an existing method, and will not be repeated here.
  • the payment information may include any one of the following:
  • Payment jump connection or page call authorization is used for payment devices to call HTML5 (H5) pages, application pages in applications, or control pages.
  • the payment authorization information contains content such as the receiving account information, and is used to retrieve the payment page in the payment application.
  • payment information is encrypted and transmitted between various devices to improve transaction security.
  • the information processing method may further include:
  • the registration request including the second face collection image of the target beneficiary, payment account information and user information;
  • the identity authentication result is that the authentication is passed
  • the second face acquisition image is used as the target face image
  • the payment account information is used as the target account information
  • the target face image is stored in association with the target index information
  • the target account information is stored in association with the target index information
  • the second electronic device may be a payment receiving device used by the target payee, and the target application is installed on the payment receiving device.
  • the collection device may specifically be a mobile phone, a tablet computer, a personal computer, etc.
  • the payee wants to register preset account information in the application server, it needs to send a registration request carrying the payee's preset face image, preset account information, and user information to the application server through the electronic device , So that the application server completes the registration of the preset account information based on the registration request.
  • the target payee can send a registration request carrying the target payee’s second face collection image, payee account information, and user information to the application server through the second electronic device .
  • the application server will perform identity authentication on the user information to obtain the identity authentication result, and then if the identity authentication result is passed authentication, the second face collection image is used as the target face image, that is, the preset face image, and
  • the receiving account information is used as the target account information, that is, the user information is preset, and the target index information corresponding to the target face image is generated.
  • the target face image and the target index information are associated and stored, and the target account information and the target index information Associated storage.
  • the specific method for generating the target index information corresponding to the target face image may be:
  • the identity of the target payee is used as the target index information, or a randomly generated character string is used as the target index information.
  • the identity of the target payee may be the ID card number or phone number of the target payee
  • the character string may include numeric characters, English characters, and symbol characters.
  • the method for performing identity authentication on user information to obtain the identity authentication result can adopt an existing method, which will not be repeated here.
  • the application server may be in communication connection with the identity authentication server of the identity authentication agency.
  • a specific method for performing identity authentication on user information to obtain an identity authentication result may include:
  • the identity authentication server of the third-party identity authentication agency can be used to reduce the data processing volume of the application server, so as to improve the response speed and data processing speed of the application server.
  • the application server may be in communication connection with a face recognition server dedicated to face recognition.
  • the specific method for associating and storing the target face image with the target index information may include:
  • the target face image and target index information are sent to the face recognition server, so that the face recognition server stores the target face image and the target index information in association.
  • the specific method for determining the target index information corresponding to the first face collection image may include:
  • the face recognition server can be used to reduce the data processing volume of the application server to improve the response speed and data processing speed of the application server, and the face recognition server can also be used to increase the storage space of preset facial images.
  • the specific method for generating target index information corresponding to the target face image may include:
  • the specific method for associating and storing the target face image with the target index information may include:
  • the target face image is sent to the face recognition server, so that the face recognition server associates and stores the target face image with the generated target index information.
  • the face recognition server can be used to further reduce the data processing volume of the application server.
  • the method for the face recognition server to determine the target index information corresponding to the first face collection image and the method for generating the target index information corresponding to the target face image are the same as those of the application server, and will not be repeated here.
  • the application server may be in communication connection with an information generation server dedicated to payment information generation.
  • the specific method for associating and storing the target account information with the target index information may include:
  • the target account information and target index information are sent to the information generation server, so that the information generation server associates the target account information with the target index information.
  • the specific method for generating payment information according to the target account information corresponding to the target index information may include:
  • the account information acquisition request includes target index information
  • the receiving information generates the payment information fed back by the server.
  • the information generation server can be used to reduce the data processing volume of the application server to improve the response speed and data processing speed of the application server, and the information generation server can also be used to increase the storage space of preset account information.
  • the method for the information generation server to generate payment information according to the target account information corresponding to the target index information is the same as that of the application server, and will not be repeated here.
  • Fig. 2 shows a schematic flowchart of an information processing method provided by another embodiment of the present invention.
  • the method shown in FIG. 2 may be executed by the first electronic device installed with the target application as described above.
  • the information processing method may include:
  • S220 In response to the first input, obtain a first face collection image of the target payee;
  • S240 Receive payment information sent by the application server
  • the first electronic device can send the first face collection image to the application server, so that the application server determines the target index information corresponding to the first face collection image, and according to the target account information corresponding to the target index information Generate payment information, so that after receiving the payment information sent by the application server, directly display the payment interface corresponding to the payment information.
  • the first electronic device can directly open the corresponding payment interface only by collecting images from the face, no additional static is required.
  • the QR code therefore, can avoid the leakage of the payee’s account information, improve the security of the payee’s account, and also prevent the payee’s account information from being exchanged, thereby enhancing the security of the payment transaction.
  • the payer can directly use the first electronic device to complete the entire payment transaction without the need for the payee to use additional equipment, which reduces the cost of the payment transaction.
  • the user's first input to the target application may be an input for the user to trigger a face-scanning payment function in the target application.
  • the first input may be a user's single-click, double-click, or long-press operation on the scanned payment function control in the target application.
  • the second electronic device may turn on the camera, and capture the first face collection image of the target payee.
  • the first face collection image may be a person obtained by photographing the face of the target payee or photographing the face image (such as a photo) of the payee placed in the merchant of the target payee. Capture images of faces.
  • the payment information corresponding to the payment information acquisition request fed back by the application server can be accepted, and the payment information is displayed.
  • the payment interface corresponding to the information is used to complete the self-service payment process in the payment interface.
  • the displayed payment interface may be an H5 page, an application page in an application program, or a control page.
  • the displayed payment interface may be a payment page in a payment application.
  • Fig. 3 shows a system architecture diagram of an information processing system provided by an embodiment of the present invention.
  • the information processing system includes an application server 310 of a target application, an identity authentication server 320, a face recognition server 330, an information generation server 340, a first electronic device 350, and a second electronic device 360.
  • the first electronic device 350 and the second electronic device 360 are in communication connection with the application server 310, respectively, and the application server 310 is in communication connection with the identity authentication server 320, the face recognition server 330, and the information generation server 340, respectively.
  • the payer version of the target application (for example, a mobile wallet application) is installed on the first electronic device 350.
  • the payee version of the target application (for example, a cloud QuickPass Merchant Pass application) is installed on the second electronic device 360.
  • the application server 310 is configured to receive requests sent by the first electronic device 350 and the second electronic device 360, and execute information processing procedures corresponding to different requests.
  • the identity authentication server 320 is used to perform identity authentication on user information.
  • the face recognition server 330 is used to determine the index information corresponding to the face collection image.
  • the information generating server 340 is configured to generate payment information according to the index information.
  • the payee may initiate a registration request and a cancellation request to the application server 310 through the cloud flash payment merchant pass application, so as to register the preset account information and cancel the preset account information on the application server 310.
  • the payer can initiate a payment information acquisition request to the application server 310 through the mobile wallet application and complete the self-service payment.
  • the information generating server 340 may also be a server of an acquiring institution.
  • Fig. 4 shows an example of the information processing flow of the information processing system shown in Fig. 3. As shown in Figure 4, the information processing flow includes the following steps:
  • the payee can trigger the registration function in the cloud QuickPass Merchant Pass application on the second electronic device;
  • the second electronic device collects registration information such as face collection images of the payee, collection account information, and user information;
  • the second electronic device initiates a registration request to the application server, where the registration request includes face collection images, payment account information, and user information;
  • S404 The application server sends user information to the identity authentication server in response to the registration request;
  • the identity authentication server performs identity authentication on the user information, and obtains an identity authentication result
  • S406 The identity authentication server feeds back the identity authentication result to the application server;
  • the application server sends the face collection image to the face recognition server in the case of determining that the identity authentication result is passed authentication;
  • the face recognition server generates index information corresponding to the face collection image
  • the face recognition server associates and stores the face collection image and the generated index information as a preset face image and preset index information associated therewith;
  • S410 The face recognition server feeds back the generated index information to the application server;
  • S411 The application server sends the received index information and collection account information to the information generation server.
  • the information generation server associates and stores the received index information and the collection account information as preset index information and preset account information associated therewith;
  • the second electronic device displays a notification of successful registration to the payee.
  • Fig. 5 shows another example of the information processing flow of the information processing system shown in Fig. 3. As shown in Figure 5, the information processing flow includes the following steps:
  • the payer can trigger the face-scan payment function in the mobile wallet application on the first electronic device;
  • the first electronic device initiates a payment information acquisition request to the application server, and the payment information acquisition request includes a face collection image.
  • the face recognition server queries the index information corresponding to the received face collection image
  • S506 The face recognition server feeds back the queried index information to the application server;
  • the application server sends the received index information to the information generation server;
  • the information generation server queries the collection account information corresponding to the received index information, and generates payment information based on the queried collection account information;
  • the information generation server feeds back the generated payment information to the application server;
  • S510 The application server forwards the payment information to the first electronic device
  • the first electronic device displays the payment interface corresponding to the payment information to the payer;
  • the payer completes the self-service payment in the payment interface of the first electronic device
  • the first electronic device sends a payment completion notification to the application server, so that the application server forwards the payment completion notification to the second electronic device, so that the second electronic device displays the payment result to the payee.
  • the mobile payment process completed by the information processing method of the embodiment of the present invention not only fully borrows the simple and convenient features of the static QR code scanning payment method, but also combines the face payment technology to make the payment
  • the payer does not need to use additional equipment.
  • the payee only needs to swipe his face or show his photo to quickly complete the receipt, making the payment transaction faster, and due to the use of face recognition technology to obtain payment information, it can prevent static two-dimensional
  • the risk of the code being replaced by the package improves the security of the payee’s account and the security of the payment transaction, and there is no need to perform the live detection of the face-swiping payment method, which further reduces the cost of the payment transaction.
  • Fig. 6 shows a schematic structural diagram of an information processing apparatus provided by an embodiment of the present invention.
  • the device shown in FIG. 6 may be set in an application server of a target application, where the target application may be an application with a payment transaction function, and the application server may be a high-performance electronic calculator. Used to store and process data.
  • the information processing apparatus may include:
  • the first request receiving module 610 is configured to receive a payment information acquisition request sent by the first electronic device, where the payment information acquisition request includes the first face collection image of the target payee;
  • the index information determining module 620 is configured to determine the target index information corresponding to the first face collection image in response to the payment information acquisition request;
  • the payment information generating module 630 is configured to generate payment information according to the target account information corresponding to the target index information;
  • the payment information sending module 640 is configured to send payment information to the first electronic device, so that the first electronic device displays a payment interface corresponding to the payment information.
  • the information processing apparatus can use the first face collection image of the target payee sent by the first electronic device to determine the target index information, and generate payment information according to the target account information corresponding to the target index information, so as to Make the first electronic device obtain the payment information of the target payee, and directly display the payment interface corresponding to the payment information.
  • the first electronic device can directly open the corresponding payment interface by only collecting images from the face, there is no need to use an additional static second. Dimension code, therefore, can avoid the leakage of the payee’s account information, improve the security of the payee’s account, and also prevent the payee’s account information from being exchanged, thereby enhancing the security of payment transactions.
  • the payer can directly use the first electronic device to complete the entire payment transaction without the need for the payee to use additional equipment, which reduces the cost of the payment transaction.
  • the index information determining module 620 may be specifically configured to:
  • the index information determining module 620 may be further used for:
  • the target face image is determined.
  • the payment information acquisition request may also include device location information of the first electronic device.
  • the index information determining module 620 may be further used for:
  • the index information determining module 620 may be further used for:
  • the first face image is used as the target face image.
  • the payment information acquisition request may further include device location information of the first electronic device.
  • the index information determining module 620 may be further used for:
  • the second face image whose preset location information is the same as the device location information is used as the target face image.
  • the index information determining module 620 may be further used for:
  • a third face image whose preset text information is the same as the image text information in the first face collection image is used as the target face image.
  • the index information determining module 620 may be further used for:
  • the payment information generating module 630 may be specifically used to:
  • the payment information is generated.
  • the information processing apparatus may further include:
  • the second request receiving module is configured to obtain the registration request sent by the second electronic device before receiving the payment information acquisition request sent by the first electronic device, the registration request includes the second face collection image of the target payee and the payment account information And user information;
  • the identity authentication processing module is used to perform identity authentication on user information and obtain the identity authentication result
  • the first information processing module is configured to use the second face collection image as the target face image, and use the collection account information as the target account information when the identity authentication result is passed authentication;
  • the second information processing module is used to generate target index information corresponding to the target face image
  • the information association storage module is used to store the target face image in association with the target index information, and store the target account information in association with the target index information.
  • the identity authentication processing module may be specifically used for:
  • the information association storage module may be specifically used for:
  • the target face image and target index information are sent to the face recognition server, so that the face recognition server stores the target face image and the target index information in association.
  • the index information determining module 620 may also be specifically used to:
  • the information association storage module can also be specifically used for:
  • the target account information and target index information are sent to the information generation server, so that the information generation server associates the target account information with the target index information.
  • the payment information generating module 630 can also be specifically used to:
  • the account information acquisition request includes target index information
  • the receiving information generates the payment information fed back by the server.
  • the information processing device shown in FIG. 6 can implement the various processes and effects implemented by the application server in the method embodiment of FIG.
  • Fig. 7 shows a schematic structural diagram of an information processing apparatus provided by another embodiment of the present invention.
  • the apparatus shown in FIG. 7 may be installed in the first electronic device where the target application is installed as described above.
  • the information processing apparatus may include:
  • the first input receiving module 710 is configured to receive a user's first input to the target application
  • the first image acquisition module 720 is configured to acquire the first face collection image of the target payee in response to the first input;
  • the first request sending module 730 is configured to send a payment information acquisition request to the application server corresponding to the target application, so that the application server, in response to the payment information acquisition request, determines the target index information corresponding to the first face collection image, and according to the target index Generate payment information corresponding to the target account information of the information, where the payment information acquisition request includes the first face collection image;
  • the payment information receiving module 740 is configured to receive payment information sent by the application server;
  • the payment interface display module 750 is used to display the payment interface corresponding to the payment information.
  • the information processing device can send the first face collection image to the application server, so that the application server can determine the target index information corresponding to the first face collection image, and generate it according to the target account information corresponding to the target index information Payment information, so that after receiving the payment information sent by the application server, the payment interface corresponding to the payment information is directly displayed. Because the information processing device can directly open the corresponding payment interface only by collecting images from the face, no additional static two-dimensional Therefore, the account information of the payee can be prevented from leaking, the account security of the payee can be improved, and the account information of the payee can be prevented from being exchanged, and the security of the payment transaction can be enhanced. In addition, the payer can directly use the information processing device to complete the entire payment transaction, eliminating the need for the payee to use additional equipment, reducing the cost of payment transactions.
  • the information processing device shown in FIG. 7 can implement the various processes and effects implemented by the application server in the method embodiment of FIG. 2. To avoid repetition, details are not described herein again.
  • FIG. 8 shows a schematic diagram of the hardware structure of an information processing device 800 provided by an embodiment of the present invention.
  • the information processing device 800 includes an input device 801, an input interface 802, a central processing unit 803, a memory 804, an output interface 805, and an output device 806.
  • the input interface 802, the central processing unit 803, the memory 804, and the output interface 805 are connected to each other through the bus 810, and the input device 801 and the output device 806 are respectively connected to the bus 810 through the input interface 802 and the output interface 805, and then to the information processing device 800 other components are connected.
  • the input device 801 receives input information from the outside, and transmits the input information to the central processing unit 803 through the input interface 802; the central processing unit 803 processes the input information based on the computer executable instructions stored in the memory 804 to generate output Information, the output information is temporarily or permanently stored in the memory 804, and then the output information is transmitted to the output device 806 through the output interface 805; the output device 806 outputs the output information to the outside of the information processing device 800 for use by the user.
  • the information processing device shown in FIG. 8 can also be implemented as including: a memory storing computer-executable instructions; Information processing method and device.
  • the embodiment of the present invention also provides a computer-readable storage medium on which computer program instructions are stored; when the computer program instructions are executed by a processor, the information processing method provided by the embodiments of the present invention is implemented.
  • Examples of computer-readable storage media include non-transitory computer-readable storage media, such as Read-Only Memory (ROM), Random Access Memory (RAM), magnetic disks, or optical disks.
  • the functional blocks shown in the above structural block diagram can be implemented as hardware, software, firmware, or a combination thereof.
  • hardware When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, plug-ins, function cards, and so on.
  • ASIC application specific integrated circuit
  • the elements of the present invention are programs or code segments used to perform required tasks.
  • the program or code segment may be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link through a data signal carried in a carrier wave.
  • "Machine-readable medium" may include any medium that can store or transmit information.
  • machine-readable media examples include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable Programmable Read-Only Memory (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, and radio frequency (Radio Frequency). , RF) link, etc.
  • the code segment can be downloaded via a computer network such as the Internet, an intranet, and so on.
  • Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field programmable logic array. It can also be understood that each block in the block diagram and/or flowchart and the combination of the blocks in the block diagram and/or flowchart can also be implemented by dedicated hardware that performs the specified function or action, or can be implemented by dedicated hardware and A combination of computer instructions.
  • the exemplary embodiments mentioned in the present invention describe some methods or systems based on a series of steps or devices.
  • the present invention is not limited to the order of the above steps, that is, the steps may be performed in the order mentioned in the embodiments, or may be different from the order in the embodiments, or several steps may be performed at the same time.

Landscapes

  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Engineering & Computer Science (AREA)
  • Finance (AREA)
  • Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
  • Multi-Process Working Machines And Systems (AREA)

Abstract

一种信息处理方法、装置、设备及介质。其中,一种信息处理方法包括:接收第一电子设备发送的支付信息获取请求,支付信息获取请求包括目标收款方的第一人脸采集图像;响应于支付信息获取请求,确定第一人脸采集图像对应的目标索引信息;根据目标索引信息对应的目标账户信息,生成支付信息;将支付信息发送至第一电子设备,以使第一电子设备显示支付信息对应的支付界面。本方法能够提高收款方的账户安全性以及支付交易的安全性,并且降低支付交易的成本。

Description

信息处理方法、装置、设备及介质
相关申请的交叉引用
本申请主张在2020年02月18日在中国提交的中国专利申请号202010100326.7的优先权,其全部内容通过引用包含于此。
技术领域
本发明属于信息处理技术领域,尤其涉及一种信息处理方法、装置、设备及介质。
背景技术
目前,已有的移动支付方式主要包括:静态二维码扫码支付、动态二维码扫码支付、闪付支付和刷脸支付等支付方式。虽然,这些支付方式可以快速地实现付款方与收款方之间的支付交易,但是,也存在如下的弊端:
对于静态二维码扫码支付方式而言,由于收款方的静态二维码一旦生成则不再改变,并且静态二维码始终面向他人,使得他人可以通过静态二维码获取的收款方的账户信息,同时,静态二维码还存在被他人调换的风险,降低了收款方的账户安全性以及支付交易的安全性;
对于动态二维码扫码支付、闪付支付和刷脸支付等支付方式而言,收款方需要使用额外的设备进行支付交易,例如,用于显示收款方的动态二维码的显示设备、具有闪付收款功能的收款设备或者具有人脸采集和活体检测功能的收款设备,增加了支付交易的成本。
发明内容
本发明实施例提供一种信息处理方法、装置、设备及介质,能够提高收款方的账户安全性以及支付交易的安全性,并且降低支付交易的成本。
第一方面,本发明实施例提供了一种信息处理方法,包括:
接收第一电子设备发送的支付信息获取请求,支付信息获取请求包括目标收款方的第一人脸采集图像;
响应于支付信息获取请求,确定第一人脸采集图像对应的目标索引信息;
根据目标索引信息对应的目标账户信息,生成支付信息;
将支付信息发送至第一电子设备,以使第一电子设备显示支付信息对应的支付界面。
第二方面,本发明实施例提供了一种信息处理方法,包括:
接收用户对目标应用的第一输入;
响应于第一输入,获取目标收款方的第一人脸采集图像;
向目标应用对应的应用服务器发送支付信息获取请求,以使应用服务器响应于支付信息获取请求,确定第一人脸采集图像对应的目标索引信息,并且根据目标索引信息对应的目标账户信息,生成支付信息,其中,支付信息获取请求包括第一人脸采集图像;
接收应用服务器发送的支付信息;
显示支付信息对应的支付界面。
第三方面,本发明实施例提供了一种信息处理装置,包括:
第一请求接收模块,用于接收第一电子设备发送的支付信息获取请求,支付信息获取请求包括目标收款方的第一人脸采集图像;
索引信息确定模块,用于响应于支付信息获取请求,确定第一人脸采集图像对应的目标索引信息;
支付信息生成模块,用于根据目标索引信息对应的目标账户信息,生成支付信息;
支付信息发送模块,用于将支付信息发送至第一电子设备,以使第一电子设备显示支付信息对应的支付界面。
第四方面,本发明实施例提供了一种信息处理装置,包括:
第一输入接收模块,用于接收用户对目标应用的第一输入;
第一图像获取模块,用于响应于第一输入,获取目标收款方的第一人脸采集图像;
第一请求发送模块,用于向目标应用对应的应用服务器发送支付信息获取请求,以使应用服务器响应于支付信息获取请求,确定第一人脸采集图像对应的目标索引信息,并且根据目标索引信息对应的目标账户信息,生成支付信息,其中,支付信息获取请求包括第一人脸采集图像;
支付信息接收模块,用于接收应用服务器发送的支付信息;
支付界面显示模块,用于显示支付信息对应的支付界面。
第五方面,本发明实施例提供了一种信息处理设备,该设备包括:处理器以及存储有计算机程序指令的存储器;
处理器执行计算机程序指令时实现如第一方面或第二方面所述的信息处理方法。
第六方面,本发明实施例提供了一种计算机可读存储介质,该计算机可读存储介质上存储有计算机程序指令,计算机程序指令被处理器执行时实现如第一方面或第二方面所述的信息处理方法。
本发明实施例的信息处理方法、装置、设备及介质,能够利用第一电子设备所发送的目标收款方的第一人脸采集图像,确定目标索引信息,并根据目标索引信息对应的目标账户信息生成支付信息,以使第一电子设备获取目标收款方的支付信息,并且直接显示支付信息对应的支付界面,由于第一电子设备仅通过人脸采集图像即可以直接打开相应的支付界面,无需使用额外的静态二维码,因此,能够避免收款方的账户信息泄露,提高收款方的账户安全性,也能够避免收款方的收款账户信息被调换,增强了支付交易的安全性。另外,付款方可以直接利用第一电子设备完成整个支付交易,无需收款方使用额外的设备,降低了支付交易的成本。
附图说明
为了更清楚地说明本发明实施例的技术方案,下面将对本发明实施例中所需要使用的附图作简单的介绍,显而易见地,下面描述中的附图仅仅是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。
图1为本发明一个实施例提供的信息处理方法的流程示意图;
图2为本发明另一个实施例提供的信息处理方法的流程示意图;
图3为本发明一个实施例提供的信息处理系统的系统架构图;
图4为图3所示的信息处理系统的信息处理流程的一个示例;
图5为图3所示的信息处理系统的信息处理流程的另一个示例;
图6为本发明一个实施例提供的信息处理装置的结构示意图;
图7为本发明另一个实施例提供的信息处理装置的结构示意图;
图8为本发明一个实施例提供的信息处理设备的硬件结构示意图。
具体实施方式
下面将详细描述本发明的各个方面的特征和示例性实施例,为了使本发明的目的、技术方案及优点更加清楚明白,以下结合附图及具体实施例,对本发明进行进一步详细描述。应理解,此处所描述的具体实施例仅被配置为解释本发明,并不被配置为限定本发明。对于本领域技术人员来说,本发明可以在不需要这些具体细节中的一些细节的情况下实施。下面对实施例的描述仅仅是为了通过示出本发明的示例来提供对本发明更好的理解。
需要说明的是,在本文中,诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来,而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且,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、物品或者设备不仅包括那些要素,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、物品或者设备所固有的要素。在没有更多限制的情况下,由语句“包括……”限定的要素,并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。
目前,已有的移动支付方式主要包括:静态二维码扫码支付、动态二维码扫码支付、闪付支付和刷脸支付等支付方式。
静态二维码扫码支付方式为:付款方使用付款设备扫描静态二维码,以获取用于向收款方付款的付款界面,并在付款界面内完成支付交易。由于静态二维码生成简单、方便,静态二维码扫码支付方式在移动支付领域尤其是小微市场占据广泛的市场份额。
动态二维码扫码支付方式为:收款方使用显示设备显示动态二维码,付款方使用付款设备扫描动态二维码,以获取用于向收款方付款的付款界面,并在付款界面内完成支付交易。由于动态二维码能够动态地对二维码的编码信息进行变换,超时后的二维码信息自动失效,使得交易过程更加安全。
闪付支付方式为:收款方使用具有闪付收款功能的收款设备获取付款方的手机钱包或者具有闪付付款功能的银行卡的账户信息,以完成支付交易。其中,收款设备可以具体为支持近场通信(Near Field Communication,NFC)技术的设备,使得收款方和付款方可以便捷、快速地完成支付交易。
刷脸支付方式为:收款方利用具有人脸采集功能的收款设备采集付款方的人脸图像,收款设备通过人脸识别技术获取付款方的账户信息,以完成支付交易。对于动态二维码扫码支付、闪付支付和刷脸支付等支付方式而言,收款方需要使用额外的设备进行支付交易,例如,用于显示收款方的动态二维码的显示设备、具有闪付收款功能的收款设备或者具有人脸采集功能的收款设备,增加了支付交易的成本。另外,对于刷脸支付方式而言,可能会在收款方不知情的状况下,被获取人脸图像,从而造成账户信息的泄露,使得降低了付款方的账户安全性。
为了解决现有技术中的上述问题,本发明实施例提供了一种信息处理方法、装置、设备及介质。下面首先对本发明实施例所提供的信息处理方法进行介绍。
图1示出了本发明一个实施例提供的信息处理方法的流程示意图。
在本发明一些实施例中,图1所示的方法可以由目标应用的应用服务器执行,其中,目标应用可以为具有支付交易功能的应用,应用服务器可以是一种高性能的电子计算器,用于存储和处理数据。如图1所示,该信息处理方法可以包括:
S110、接收第一电子设备发送的支付信息获取请求,支付信息获取请求包括目标收款方的第一人脸采集图像;
S120、响应于支付信息获取请求,确定第一人脸采集图像对应的目标索引信息;
S130、根据目标索引信息对应的目标账户信息,生成支付信息;
S140、将支付信息发送至第一电子设备,以使第一电子设备显示支付信息对应的支付界面。
在本发明实施例中,能够利用第一电子设备所发送的目标收款方的第一人脸采集图像,确定目标索引信息,并根据目标索引信息对应的目标账户信息生成支付信息,以使第一电子设备获取目标收款方的支付信息,并且直接显示支付信息对应的支付界面,由于第一电子设备仅通过人脸采集图像即可以直接打开相应的支付界面,无需使用额外的静态二维码,因此,能够避免收款方的账户信息泄露,提高收款方的账户安全性,也能够避免收款方的收款账户信息被调换,增强了支付交易的安全性。另外,付款方可以直接利用第一电子设备完成整个支付交易,无需收款方使用额外的设备,降低了支付 交易的成本。
在本发明一些实施例的S110中,第一电子设备可以为付款方所使用的付款设备,该付款设备上安装有目标应用。其中,付款设备具体可以是手机、平板电脑、智能手表等。
在付款方使用付款设备中的目标应用进行支付交易时,可以使用付款设备采集目标收款方的第一人脸采集图像,并且向应用服务器发送携带有该第一人脸采集图像的支付信息获取请求。应用服务器在接收到支付信息获取请求后,可以基于第一人脸采集图像向第一电子设备反馈支付信息获取请求对应的支付信息。
在本发明一些实施例中,S120的具体方法可以包括:
在多个预设人脸图像中,识别与第一人脸采集图像相匹配的目标人脸图像;
确定与目标人脸图像相关联的目标索引信息。
在本发明实施例中,每个预设人脸图像都是其对应的收款方在注册预设账户信息时,由收款方上传到应用服务器中的与预设账户信息通过索引信息间接关联存储的人脸图像。
具体地,应用服务器可以基于人脸识别技术,在多个预设人脸图像中识别与第一人脸采集图像相匹配的目标人脸图像,然后获取与目标人脸图像关联存储的目标索引信息。由此,可以基于人脸识别技术,精确地获取与第一人脸采集图像对应的目标索引信息,提高所生成的支付信息的可靠性,从而提高支付交易的安全性。
在一些实施例中,目标人脸图像可以为与第一人脸采集图像相似的人脸图像。此时,在多个预设人脸图像中识别与第一人脸采集图像相匹配的目标人脸图像的具体方法可以包括:
确定每个预设人脸图像与第一人脸采集图像的人脸相似度;
根据人脸相似度,确定目标人脸图像。
其中,应用服务器可以基于人脸识别技术,确定每个预设人脸图像与第一人脸采集图像的人脸相似度。需要说明的是,人脸识别技术可以为任意已有的人脸识别技术,只要是能够确定预设人脸图像与第一人脸采集图像的人脸相似度即可,在此不做限制。
在这些实施例中,根据人脸相似度确定目标人脸图像的具体方法,将根 据不同的情况进行分别说明:
第一种情况
在这种情况下,根据人脸相似度确定目标人脸图像的具体方法可以包括:
在存在一个人脸相似度最大的第一人脸图像的情况下,将第一人脸图像,作为目标人脸图像。
具体地,确定每个预设人脸图像与第一人脸采集图像的人脸相似度,并且对所得到的人脸相似度进行排序后,所得到的与第一人脸采集图像的人脸相似度最大的预设人脸图像的数量为一个时,则可以将该预设人脸图像表示为第一人脸图像,即多个预设人脸图像中仅存在一个人脸相似度最大的第一人脸图像。此时,可以直接将第一人脸图像作为目标人脸图像。
在这种情况下,第一人脸采集图像可以为对目标收款方的人脸进行图像拍摄或者对目标收款方的商户中所摆放的收款方人脸图像(例如照片)进行拍摄所获取的人脸采集图像。
第二种情况
在这种情况下,支付信息获取请求还可以包括第一电子设备的设备位置信息。
进一步地,根据人脸相似度确定目标人脸图像的具体方法可以包括:
在存在多个人脸相似度最大的第二人脸图像的情况下,获取每个第二人脸图像所标记的预设位置信息;
将预设位置信息与设备位置信息相同的第二人脸图像,作为目标人脸图像。
具体地,确定每个预设人脸图像与第一人脸采集图像的人脸相似度,并且对所得到的人脸相似度进行排序后,所得到的与第一人脸采集图像的人脸相似度最大的预设人脸图像的数量为多个时,则可以将该预设人脸图像表示为第二人脸图像,即多个预设人脸图像中存在多个人脸相似度最大的第二人脸图像,每个第二人脸图像与第一人脸采集图像的人脸相似度相同。
例如,同一个收款方可能经营有多个商户,且这个收款方所经营的不同商户分别具有独立的预设账户信息时,每个商户的预设账户信息所关联的预设人脸图像就有可能相同,这时,多个预设人脸图像中便可能存在多个与第一人脸采集图像的人脸相似度最大的第二人脸图像。
为了在这种情况中仍然能够精确地识别出付款方想要付款的账户信息, 在存储预设人脸图像时,可为每个预设人脸图像标记预设位置信息,所标记的预设位置信息即可以为能够区分不同商户的信息。具体地,预设位置信息的位置精确程度,可以根据不同商户之间的最小位置差别确定,例如,如果不同商户之间的最小位置差别为不同地级市,则预设位置信息可以精确到地级市信息,再例如,如果不同商户之间的最小位置差别为不同街道,则预设位置信息可以精确到街道信息。
因此,在这种情况下,可以获取每个第二人脸图像所标记的预设位置信息以及第一电子设备的设备位置信息,并将预设位置信息与设备位置信息相同的第二人脸图像,作为目标人脸图像。
其中,第一电子设备的设备位置信息可以由第一电子设备中的目标应用获取,并且通过支付信息获取请求发送给应用服务器。
在这种情况下,第一人脸采集图像可以为对目标收款方的人脸进行图像拍摄或者对目标收款方的商户中所摆放的收款方人脸图像(例如照片)进行拍摄所获取的人脸采集图像。
由此,在本发明实施例中,在收款方具有多个收款账户信息的情况下,可以基于第一电子设备的设备位置信息,准确地确定付款方想要进行支付交易的目标账户信息。
第三种情况
在这种情况下,根据人脸相似度确定目标人脸图像的具体方法可以包括:
在存在多个人脸相似度最大的第三人脸图像的情况下,获取每个第三人脸图像所标记的预设文字信息;
将预设文字信息与第一人脸采集图像中的图像文字信息相同的第三人脸图像,作为目标人脸图像。
具体地,确定每个预设人脸图像与第一人脸采集图像的人脸相似度,并且对所得到的人脸相似度进行排序后,所得到的与第一人脸采集图像的人脸相似度最大的预设人脸图像的数量为多个时,则可以将该预设人脸图像表示为第三人脸图像,即多个预设人脸图像中存在多个人脸相似度最大的第三人脸图像,每个第三人脸图像与第一人脸采集图像的人脸相似度相同。
例如,同一个收款方可能经营有多个商户,且这个收款方所经营的不同商户分别具有独立的预设账户信息时,每个商户的预设账户信息所关联的预设人脸图像就有可能相同,这时,多个预设人脸图像中便可能存在多个与第 一人脸采集图像的人脸相似度最大的第三人脸图像。
为了在这种情况中仍然能够精确地识别出付款方想要付款的账户信息,收款方上传每个预设账户信息所关联的预设人脸图像时,可以同时上传该预设人脸图像对应的预设文字信息。在存储预设人脸图像时,可为每个预设人脸图像标记其对应的预设文字信息,所标记的预设文字信息即可以为能够区分不同商户的信息。具体地,预设文字信息可以为与每个商户对应的数字编号、商户名称等信息。
因此,在这种情况下,可以获取每个第三人脸图像所标记的预设文字信息以及基于图像文字识别技术识别第一人脸采集图像中的图像文字信息,并将预设文字信息与第一人脸采集图像中的图像文字信息相同的第三人脸图像,作为目标人脸图像。
在这种情况下,第一人脸采集图像可以为对目标收款方的商户中所摆放的收款方人脸图像(例如照片)进行拍摄所获取的人脸采集图像,其中,该人脸图像(例如照片)中具有上述的图像文字信息。
由此,在本发明实施例中,在收款方具有多个收款账户信息的情况下,可以基于第一人脸采集图像中的图像文字信息,准确地确定付款方想要进行支付交易的目标账户信息。
在另一些实施例中,支付信息获取请求还可以包括第一电子设备的设备位置信息。
在这些实施例中,可选地,确定每个预设人脸图像与第一人脸采集图像的人脸相似度的具体方法可以包括:
确定设备位置信息所属的目标区域;
在多个预设人脸图像中,筛选标记有目标区域的预设人脸图像;
确定每个筛选出的预设人脸图像与第一人脸采集图像的人脸相似度。
具体地,在存储预设人脸图像时,可为每个预设人脸图像标记其对应的商户所属的地理区域,具体地,地理区域的区域等级可以根据需要进行设定。
在应用服务器接收到设备位置信息后,可以确定上述的区域等级,确定其所属的目标区域,然后,在多个预设人脸图像中筛选所标记的地理区域与目标区域相同的预设人脸图像,进而确定每个筛选出的预设人脸图像与第一人脸采集图像的人脸相似度。
由此,可以基于设备位置信息所属的目标区域,对预设人脸图像进行初 步筛选,减少计算人脸相似度的数据处理量,提高人脸相似度的确定效率,进而减少付款方等待获取支付信息的时间。
在又一些实施例中,支付信息获取请求还可以包括第一电子设备的商户信息,例如商户名称信息等。
具体地,付款方可以在使用付款设备发送支付信息获取请求之前,在付款设备内输入商户名称信息,以使支付信息获取请求包括商户名称信息。
在这些实施例中,可选地,确定每个预设人脸图像与第一人脸采集图像的人脸相似度的具体方法可以包括:
在多个预设人脸图像中,筛选标记有商户名称信息的预设人脸图像;
确定每个筛选出的预设人脸图像与第一人脸采集图像的人脸相似度。
具体地,在商户为连锁商户的情况下,还可以在存储预设人脸图像时,为每个预设人脸图像标记其对应的商户名称信息。
在应用服务器接收到支付信息获取请求后,在多个预设人脸图像中筛选标记有商户名称信息的预设人脸图像,进而确定每个筛选出的预设人脸图像与第一人脸采集图像的人脸相似度。
由此,可以基于商户信息,对预设人脸图像进行初步筛选,减少计算人脸相似度的数据处理量,提高人脸相似度的确定效率,进而减少付款方等待获取支付信息的时间。
在又一些实施例中,目标人脸图像还可以为与第一人脸采集图像相同的人脸图像。此时,在多个预设人脸图像中识别与第一人脸采集图像相匹配的目标人脸图像的具体方法可以包括:
在多个预设人脸图像中,识别与第一人脸采集图像相同的第四人脸图像;
将第四人脸图像,作为目标人脸图像。
在同一个收款方可能经营有多个商户,且这个收款方所经营的不同商户分别具有独立的预设账户信息时,为了使每个商户的预设账户信息所关联的预设人脸图像不同,收款方可以针对不同的预设账户信息上传图像差别较大的预设人脸图像。
在这些实施例中,应用服务器可以确定每个预设人脸图像与第一人脸采集图像的图像相似度,然后将图像相似度为100%,即与第一人脸采集图像相同的预设人脸图像确定为第四人脸图像,并将第四人脸图像作为目标人脸图像。
在这些实施例中,第一人脸采集图像可以为对目标收款方的商户中所摆放的收款方人脸图像(例如照片)进行拍摄所获取的人脸采集图像。
由此,在本发明实施例中,在收款方具有多个收款账户信息的情况下,可以基于每个预设人脸图像与第一人脸采集图像的图像相似度,准确地确定付款方想要进行支付交易的目标账户信息。
在本发明一些实施例中,S120的具体方法可以包括:
解析第一人脸采集图像,得到第一人脸特征数据;
在多组预设人脸特征数据中,查找与第一人脸特征数据相匹配的目标人脸特征数据;
确定与目标人脸特征数据相关联的目标索引信息。
在这些实施例中,人脸特征数据可以为人脸特征点在归一化图像中的坐标位置数据。进一步地,预设人脸特征数据为人脸特征点在归一化的预设人脸图像中的坐标位置数据。
具体地,可以首先对第一人脸采集图像进行归一化处理,得到归一化的第一人脸采集图像,然后识别各个人脸特征点在归一化的第一人脸采集图像中的坐标位置,得到第一人脸特征数据。然后,基于第一人脸特征数据中的每个人脸特征点的坐标位置与每个预设人脸特征数据中的对应的人脸特征点的坐标位置的比较结果,得到与第一人脸特征数据的数据相似度最高的目标人脸特征数据。最后,获取与目标人脸特征数据关联存储的目标索引信息。
在本发明实施例中,得到预设人脸特征数据的方法与得到第一人脸特征数据的方法相似,在此不做赘述。
在本发明一些实施例中,S130的具体方法可以包括:
在多个预设账户信息中,查询目标索引信息对应的目标账户信息;
根据目标账户信息,生成支付信息。
在这些实施例中,目标索引信息与目标账户信息关联存储,因此,可以直接在多个预设账户信息中,查询与目标索引信息关联存储的目标账户信息。
其中,目标账户信息可以至少包括目标收款方的收款账号、收款账号对应的用户名称、收款账号对应的用户地址、目标收款方的联系方式等信息。应用服务器可以基于上述信息,生成支付信息。
需要说明的是,根据目标账户信息生成支付信息的方法为已有的方法,在此不做赘述。
具体地,支付信息可以包括下列中的任一项:
支付跳转连接或者页面调用授权;
支付授权信息。
支付跳转连接或者页面调用授权用于付款设备调用HTML5(H5)页面、应用程序中的应用页面或者控件页面。
支付授权信息包含了收款账户信息等内容,用于调取支付应用程序内的支付页面。
在本发明实施例中,支付信息在各个设备之间加密传输,以提高交易安全性。
在本发明一些实施例中,在S110之前,该信息处理方法还可以包括:
获取第二电子设备发送的注册请求,注册请求包括目标收款方的第二人脸采集图像、收款账户信息和用户信息;
对用户信息进行身份认证,得到身份认证结果;
在身份认证结果为通过认证的情况下,将第二人脸采集图像作为目标人脸图像,并且将收款账户信息作为目标账户信息;
生成目标人脸图像对应的目标索引信息;
将目标人脸图像与目标索引信息关联存储,并且将目标账户信息与目标索引信息关联存储。
在本发明一些实施例中,第二电子设备可以为目标收款方所使用的收款设备,该收款设备上安装有目标应用。其中,收款设备具体可以是手机、平板电脑、个人电脑等。
具体地,收款方如果想要在应用服务器中注册预设账户信息,则需要通过电子设备向应用服务器发送携带有收款方的预设人脸图像、预设账户信息和用户信息的注册请求,以使应用服务器基于注册请求完成预设账户信息的注册。
以收款方为目标收款方为例,目标收款方可以通过第二电子设备向应用服务器发送携带有目标收款方的第二人脸采集图像、收款账户信息和用户信息的注册请求,应用服务器会对用户信息进行身份认证,得到身份认证结果,然后在身份认证结果为通过认证的情况下,将第二人脸采集图像作为目标人脸图像,即预设人脸图像,并且将收款账户信息作为目标账户信息,即预设用户信息,再生成目标人脸图像对应的目标索引信息,最后,将目标人脸图 像与目标索引信息关联存储,并且将目标账户信息与目标索引信息关联存储。
其中,生成目标人脸图像对应的目标索引信息的具体方法可以为:
将目标收款方的身份标识作为目标索引信息,或者,随机生成字符串作为目标索引信息。
其中,目标收款方的身份标识可以为目标收款方的身份证号码或者电话号码,字符串可以包括数字字符、英文字符和符号字符等。
需要说明的是,在本发明实施例中,对用户信息进行身份认证得到身份认证结果的方法可以采用已有的方法,在此不做赘述。
在一些实施例中,应用服务器可以与身份认证机构的身份认证服务器通信连接。
在这些实施例中,可选地,对用户信息进行身份认证得到身份认证结果的具体方法可以包括:
将用户信息发送至身份认证服务器,以使身份认证服务器对用户信息进行身份认证,得到身份认证结果;
接收身份认证结果。
由此,可以利用第三方的身份认证机构的身份认证服务器,降低应用服务器的数据处理量,以提高应用服务器的响应速度和数据处理速度。
在一些实施例中,应用服务器可以与专用于人脸识别的人脸识别服务器通信连接。
在这些实施例中,可选地,将目标人脸图像与目标索引信息关联存储的具体方法可以包括:
将目标人脸图像和目标索引信息发送至人脸识别服务器,以使人脸识别服务器将目标人脸图像与目标索引信息关联存储。
在这些实施例中,可选地,确定第一人脸采集图像对应的目标索引信息的具体方法可以包括:
向人脸识别服务器发送人脸识别请求,以使人脸识别服务器响应于人脸识别请求,在多个预设人脸图像中识别与第一人脸采集图像相匹配的目标人脸图像,并且确定与目标人脸图像相关联的目标索引信息,其中,人脸识别请求包括第一人脸采集图像;
接收人脸识别服务器反馈的目标索引信息。
由此,可以利用人脸识别服务器降低应用服务器的数据处理量,以提高 应用服务器的响应速度和数据处理速度,还可以利用人脸识别服务器增大预设人脸图像的存储空间。
在一些实施例中,生成目标人脸图像对应的目标索引信息的具体方法可以包括:
将目标人脸图像发送至人脸识别服务器,以使人脸识别服务器生成目标人脸图像对应的目标索引信息;
接收人脸识别服务器反馈的目标索引信息。
此时,将目标人脸图像与目标索引信息关联存储的具体方法可以包括:
将目标人脸图像发送至人脸识别服务器,以使人脸识别服务器将目标人脸图像与所生成的目标索引信息关联存储。
由此,可以利用人脸识别服务器进一步地降低应用服务器的数据处理量。
需要说明的是,人脸识别服务器确定第一人脸采集图像对应的目标索引信息的方法和生成目标人脸图像对应的目标索引信息的方法与应用服务器相同,在此不做赘述。
在一些实施例中,应用服务器可以与专用于支付信息生成的信息生成服务器通信连接。
在这些实施例中,可选地,将目标账户信息与目标索引信息关联存储的具体方法可以包括:
将目标账户信息和目标索引信息发送至信息生成服务器,以使信息生成服务器将目标账户信息与目标索引信息关联存储。
在这些实施例中,可选地,根据目标索引信息对应的目标账户信息生成支付信息的具体方法可以包括:
向信息生成服务器发送账户信息获取请求,以使信息生成服务器响应于账户信息获取请求,在多个预设账户信息中查询目标索引信息对应的目标账户信息,并且根据目标账户信息生成支付信息,其中,账户信息获取请求包括目标索引信息;
接收信息生成服务器反馈的支付信息。
由此,可以利用信息生成服务器降低应用服务器的数据处理量,以提高应用服务器的响应速度和数据处理速度,还可以利用信息生成服务器增大预设账户信息的存储空间。
需要说明的是,信息生成服务器根据目标索引信息对应的目标账户信息 生成支付信息的方法与应用服务器相同,在此不做赘述。
图2示出了本发明另一个实施例提供的信息处理方法的流程示意图。
在本发明一些实施例中,图2所示的方法可以由上文中所述的安装有目标应用的第一电子设备执行。如图2所示,该信息处理方法可以包括:
S210、接收用户对目标应用的第一输入;
S220、响应于第一输入,获取目标收款方的第一人脸采集图像;
S230、向目标应用对应的应用服务器发送支付信息获取请求,以使应用服务器响应于支付信息获取请求,确定第一人脸采集图像对应的目标索引信息,并且根据目标索引信息对应的目标账户信息,生成支付信息,其中,支付信息获取请求包括第一人脸采集图像;
S240、接收应用服务器发送的支付信息;
S250、显示支付信息对应的支付界面。
在本发明实施例中,第一电子设备能够向应用服务器发送第一人脸采集图像,以使应用服务器确定第一人脸采集图像对应的目标索引信息,并且根据目标索引信息对应的目标账户信息生成支付信息,从而在接收到应用服务器发送的支付信息后,直接显示支付信息对应的支付界面,由于第一电子设备仅通过人脸采集图像即可以直接打开相应的支付界面,无需使用额外的静态二维码,因此,能够避免收款方的账户信息泄露,提高收款方的账户安全性,也能够避免收款方的收款账户信息被调换,增强了支付交易的安全性。另外,付款方可以直接利用第一电子设备完成整个支付交易,无需收款方使用额外的设备,降低了支付交易的成本。
在本发明一些实施例的S210中,用户对目标应用的第一输入可以为用户触发目标应用中的扫脸支付功能的输入。例如,第一输入可以为用户对目标应用中的扫了支付功能控件的单击、双击或者长按操作。
在本发明一些实施例的S220中,在启动了扫脸支付功能后,第二电子设备可以开启摄像头,并且拍摄目标收款方的第一人脸采集图像。
其中,第一人脸采集图像可以为对目标收款方的人脸进行图像拍摄或者对目标收款方的商户中所摆放的收款方人脸图像(例如照片)进行拍摄所获取的人脸采集图像。
在本发明实施例中,在向目标应用对应的应用服务器发送携带有第一人脸采集图像的支付信息获取请求后,即可以接受应用服务器反馈的支付信息 获取请求对应的支付信息,并且显示支付信息对应的支付界面,以使用于在支付界面内完成自助支付过程。
其中,在支付信息为支付跳转连接或者页面调用授权的情况下,所显示的支付界面可以为H5页面,也可以是应用程序中的应用页面,还可以是一个控件页面。在支付信息为支付授权信息的情况下,所显示的支付界面可以为支付应用程序内的支付页面。
图3示出了本发明一个实施例提供的信息处理系统的系统架构图。如图3所示,该信息处理系统包括目标应用的应用服务器310、身份认证服务器320、人脸识别服务器330、信息生成服务器340、第一电子设备350和第二电子设备360。
其中,第一电子设备350和第二电子设备360分别与应用服务器310通信连接,应用服务器310分别与身份认证服务器320、人脸识别服务器330和信息生成服务器340通信连接。
第一电子设备350上安装有目标应用的付款方版本(例如手机钱包应用)。第二电子设备360上安装有目标应用的收款方版本(例如云闪付商户通应用)。应用服务器310用于接收第一电子设备350和第二电子设备360发送的请求,并执行不同的请求对应的信息处理过程。身份认证服务器320用于对用户信息进行身份认证。人脸识别服务器330用于确定人脸采集图像对应的索引信息。信息生成服务器340用于根据索引信息生成支付信息。
具体地,收款方可以通过云闪付商户通应用向应用服务器310发起注册请求和注销请求,以在应用服务器310上注册预设账户信息和注销预设账户信息。付款方可以通过手机钱包应用向应用服务器310发起支付信息获取请求以及完成自助支付。
可选地,信息生成服务器340还可以为收单机构的服务器。
图4示出了图3所示的信息处理系统的信息处理流程的一个示例。如图4所示,该信息处理流程包括如下步骤:
S401、收款方可以触发第二电子设备上的云闪付商户通应用中的注册功能;
S402、第二电子设备响应于触发注册功能,采集收款方的人脸采集图像、收款账户信息和用户信息等注册信息;
S403、第二电子设备向应用服务器发起注册请求,注册请求包括人脸采 集图像、收款账户信息和用户信息;
S404、应用服务器响应于注册请求,向身份认证服务器发送用户信息;
S405、身份认证服务器对用户信息进行身份认证,得到身份认证结果;
S406、身份认证服务器向应用服务器反馈身份认证结果;
S407、应用服务器在确定身份认证结果为通过认证的情况下,将人脸采集图像发送至人脸识别服务器;
S408、人脸识别服务器生成人脸采集图像对应的索引信息;
S409、人脸识别服务器将人脸采集图像与所生成的索引信息关联存储为预设人脸图像及与其相关联的预设索引信息;
S410、人脸识别服务器向应用服务器反馈所生成的索引信息;
S411、应用服务器将接收到的索引信息和收款账户信息发送至信息生成服务器;
S412、信息生成服务器将接收到的索引信息与收款账户信息关联存储为预设索引信息及与其相关联的预设账户信息;
S413、信息生成服务器向应用服务器反馈存储结果;
S414、应用服务器接收到存储结果后,向第二电子设备反馈注册成功通知;
S415、第二电子设备向收款方展示注册成功通知。
图5示出了图3所示的信息处理系统的信息处理流程的另一个示例。如图5所示,该信息处理流程包括如下步骤:
S501、付款方可以触发第一电子设备上的手机钱包应用中的扫脸支付功能;
S502、第一电子设备响应于触发扫脸支付功能,采集收款方的人脸采集图像;
S503、第一电子设备向应用服务器发起支付信息获取请求,支付信息获取请求包括人脸采集图像;
S504、应用服务器响应于支付信息获取请求,向人脸识别服务器发送人脸采集图像;
S505、人脸识别服务器查询所接收的人脸采集图像对应的索引信息;
S506、人脸识别服务器向应用服务器反馈查询到的索引信息;
S507、应用服务器向信息生成服务器发送其所接收的索引信息;
S508、信息生成服务器查询所接收的索引信息对应的收款账户信息,并基于查询到的收款账户信息生成支付信息;
S509、信息生成服务器向应用服务器反馈所生成的支付信息;
S510、应用服务器将支付信息转发给第一电子设备;
S511、第一电子设备向付款方显示支付信息对应的支付界面;
S512、付款方在第一电子设备的支付界面中完成自助支付;
S513、第一电子设备向应用服务器发送支付完成通知,使应用服务器将支付完成通知转发至第二电子设备,以使第二电子设备向收款方展示收款结果。
综上所述,利用本发明实施例的信息处理方法所完成的移动支付流程,不但充分借鉴了静态二维码扫码支付方式简单、方便的特点,还可以结合了人脸支付技术,使得收款方无需借助额外的设备,收款方仅需刷脸或者展示本人照片,即可快速完成收单,使得支付交易更加快捷,并且由于使用人脸识别技术获取支付信息,可以杜绝出现静态二维码被掉包更换的风险,提高了收款方的账户安全性和支付交易的安全性,也无需进行刷脸支付方式的活体检测,进一步降低了支付交易的成本。
图6示出了本发明一个实施例提供的信息处理装置的结构示意图。
在本发明一些实施例中,图6所示的装置可以设置于目标应用的应用服务器中,其中,目标应用可以为具有支付交易功能的应用,应用服务器可以是一种高性能的电子计算器,用于存储和处理数据。如图6所示,该信息处理装置可以包括:
第一请求接收模块610,用于接收第一电子设备发送的支付信息获取请求,支付信息获取请求包括目标收款方的第一人脸采集图像;
索引信息确定模块620,用于响应于支付信息获取请求,确定第一人脸采集图像对应的目标索引信息;
支付信息生成模块630,用于根据目标索引信息对应的目标账户信息,生成支付信息;
支付信息发送模块640,用于将支付信息发送至第一电子设备,以使第一电子设备显示支付信息对应的支付界面。
在本发明实施例中,信息处理装置能够利用第一电子设备所发送的目标收款方的第一人脸采集图像确定目标索引信息,并根据目标索引信息对应的 目标账户信息生成支付信息,以使第一电子设备获取目标收款方的支付信息,并且直接显示支付信息对应的支付界面,由于第一电子设备仅通过人脸采集图像即可以直接打开相应的支付界面,无需使用额外的静态二维码,因此,能够避免收款方的账户信息泄露,提高收款方的账户安全性,也能够避免收款方的收款账户信息被调换,增强了支付交易的安全性。另外,付款方可以直接利用第一电子设备完成整个支付交易,无需收款方使用额外的设备,降低了支付交易的成本。
在本发明一些实施例中,索引信息确定模块620可以具体用于:
在多个预设人脸图像中,识别与第一人脸采集图像相匹配的目标人脸图像;
确定与目标人脸图像相关联的目标索引信息。
在本发明一些实施例中,索引信息确定模块620可以进一步用于:
确定每个预设人脸图像与第一人脸采集图像的人脸相似度;
根据人脸相似度,确定目标人脸图像。
在一些实施例中,支付信息获取请求还可以包括第一电子设备的设备位置信息。进一步地,索引信息确定模块620还可以进一步用于:
确定设备位置信息所属的目标区域;
在多个预设人脸图像中,筛选标记有目标区域的预设人脸图像;
确定每个筛选出的预设人脸图像与第一人脸采集图像的人脸相似度。
在另一些实施例中,索引信息确定模块620还可以进一步用于:
在存在一个人脸相似度最大的第一人脸图像的情况下,将第一人脸图像,作为目标人脸图像。
在又一些实施例中,支付信息获取请求还可以包括第一电子设备的设备位置信息。进一步地,索引信息确定模块620还可以进一步用于:
在存在多个人脸相似度最大的第二人脸图像的情况下,获取每个第二人脸图像所标记的预设位置信息;
将预设位置信息与设备位置信息相同的第二人脸图像,作为目标人脸图像。
在一些实施例中,索引信息确定模块620还可以进一步用于:
在存在多个人脸相似度最大的第三人脸图像的情况下,获取每个第三人脸图像所标记的预设文字信息;
将预设文字信息与第一人脸采集图像中的图像文字信息相同的第三人脸图像,作为目标人脸图像。
在本发明另一些实施例中,索引信息确定模块620还可以进一步用于:
在多个预设人脸图像中,识别与第一人脸采集图像相同的第四人脸图像;
将第四人脸图像,作为目标人脸图像。
在本发明一些实施例中,支付信息生成模块630可以具体用于:
在多个预设账户信息中,查询目标索引信息对应的目标账户信息;
根据目标账户信息,生成支付信息。
在本发明一些实施例中,该信息处理装置还可以包括:
第二请求接收模块,用于接收第一电子设备发送的支付信息获取请求之前,获取第二电子设备发送的注册请求,注册请求包括目标收款方的第二人脸采集图像、收款账户信息和用户信息;
身份认证处理模块,用于对用户信息进行身份认证,得到身份认证结果;
第一信息处理模块,用于在身份认证结果为通过认证的情况下,将第二人脸采集图像作为目标人脸图像,并且将收款账户信息作为目标账户信息;
第二信息处理模块,用于生成目标人脸图像对应的目标索引信息;
信息关联存储模块,用于将目标人脸图像与目标索引信息关联存储,并且将目标账户信息与目标索引信息关联存储。
在本发明一些实施例中,身份认证处理模块可以具体用于:
将用户信息发送至身份认证服务器,以使身份认证服务器对用户信息进行身份认证,得到身份认证结果;
接收身份认证结果。
在本发明一些实施例中,信息关联存储模块可以具体用于:
将目标人脸图像和目标索引信息发送至人脸识别服务器,以使人脸识别服务器将目标人脸图像与目标索引信息关联存储。
在这些实施例中,索引信息确定模块620还可以具体用于:
向人脸识别服务器发送人脸识别请求,以使人脸识别服务器响应于人脸识别请求,在多个预设人脸图像中识别与第一人脸采集图像相匹配的目标人脸图像,并且确定与目标人脸图像相关联的目标索引信息,其中,人脸识别请求包括第一人脸采集图像;
接收人脸识别服务器反馈的目标索引信息。
在本发明另一些实施例中,信息关联存储模块还可以具体用于:
将目标账户信息和目标索引信息发送至信息生成服务器,以使信息生成服务器将目标账户信息与目标索引信息关联存储。
在这些实施例中,支付信息生成模块630还可以具体用于:
向信息生成服务器发送账户信息获取请求,以使信息生成服务器响应于账户信息获取请求,在多个预设账户信息中查询目标索引信息对应的目标账户信息,并且根据目标账户信息生成支付信息,其中,账户信息获取请求包括目标索引信息;
接收信息生成服务器反馈的支付信息。
需要说明的是,图6所示的信息处理装置能够实现图1的方法实施例中应用服务器实现的各个过程和效果,为避免重复,这里不再赘述。
图7示出了本发明另一个实施例提供的信息处理装置的结构示意图。
在本发明一些实施例中,图7所示的装置可以设置于上文中所述的安装有目标应用的第一电子设备内。如图7所示,该信息处理装置可以包括:
第一输入接收模块710,用于接收用户对目标应用的第一输入;
第一图像获取模块720,用于响应于第一输入,获取目标收款方的第一人脸采集图像;
第一请求发送模块730,用于向目标应用对应的应用服务器发送支付信息获取请求,以使应用服务器响应于支付信息获取请求,确定第一人脸采集图像对应的目标索引信息,并且根据目标索引信息对应的目标账户信息,生成支付信息,其中,支付信息获取请求包括第一人脸采集图像;
支付信息接收模块740,用于接收应用服务器发送的支付信息;
支付界面显示模块750,用于显示支付信息对应的支付界面。
在本发明实施例中,信息处理装置能够向应用服务器发送第一人脸采集图像,以使应用服务器确定第一人脸采集图像对应的目标索引信息,并且根据目标索引信息对应的目标账户信息生成支付信息,从而在接收到应用服务器发送的支付信息后,直接显示支付信息对应的支付界面,由于信息处理装置仅通过人脸采集图像即可以直接打开相应的支付界面,无需使用额外的静态二维码,因此,能够避免收款方的账户信息泄露,提高收款方的账户安全性,也能够避免收款方的收款账户信息被调换,增强了支付交易的安全性。另外,付款方可以直接利用信息处理装置完成整个支付交易,无需收款方使 用额外的设备,降低了支付交易的成本。
需要说明的是,图7所示的信息处理装置能够实现图2的方法实施例中应用服务器实现的各个过程和效果,为避免重复,这里不再赘述。
本发明实施例的信息处理方法和装置可以由信息处理设备来实现。图8示出了本发明一个实施例提供的信息处理设备800的硬件结构示意图。
如图8所示,信息处理设备800包括输入设备801、输入接口802、中央处理器803、存储器804、输出接口805、以及输出设备806。其中,输入接口802、中央处理器803、存储器804、以及输出接口805通过总线810相互连接,输入设备801和输出设备806分别通过输入接口802和输出接口805与总线810连接,进而与信息处理设备800的其他组件连接。
具体地,输入设备801接收来自外部的输入信息,并通过输入接口802将输入信息传送到中央处理器803;中央处理器803基于存储器804中存储的计算机可执行指令对输入信息进行处理以生成输出信息,将输出信息临时或者永久地存储在存储器804中,然后通过输出接口805将输出信息传送到输出设备806;输出设备806将输出信息输出到信息处理设备800的外部供用户使用。
也就是说,图8所示的信息处理设备也可以被实现为包括:存储有计算机可执行指令的存储器;以及处理器,该处理器在执行计算机可执行指令时可以实现本发明实施例描述的信息处理方法和装置。
本发明实施例还提供一种计算机可读存储介质,该计算机可读存储介质上存储有计算机程序指令;该计算机程序指令被处理器执行时实现本发明实施例提供的信息处理方法。计算机可读存储介质的示例包括非暂态计算机可读存储介质,如只读存储器(Read-Only Memory,ROM)、随机存取存储器(Random Access Memory,RAM)、磁碟或者光盘等。
以上的结构框图中所示的功能块可以实现为硬件、软件、固件或者它们的组合。当以硬件方式实现时,其可以例如是电子电路、专用集成电路(Application Specific Integrated Circuit,ASIC)、适当的固件、插件、功能卡等等。当以软件方式实现时,本发明的元素是被用于执行所需任务的程序或者代码段。程序或者代码段可以存储在机器可读介质中,或者通过载波中携带的数据信号在传输介质或者通信链路上传送。“机器可读介质”可以包括能够存储或传输信息的任何介质。机器可读介质的例子包括电子电路、半导体存储器设备、ROM、闪存、可擦除ROM(Erasable Programmable Read-Only  Memory,EROM)、软盘、CD-ROM、光盘、硬盘、光纤介质、射频(Radio Frequency,RF)链路,等等。代码段可以经由诸如因特网、内联网等的计算机网络被下载。
上面参考根据本发明的实施例的方法、装置(系统)和计算机程序产品的流程图和/或框图描述了本公开的各方面。应当理解,流程图和/或框图中的每个方框以及流程图和/或框图中各方框的组合可以由计算机程序指令实现。这些计算机程序指令可被提供给通用计算机、专用计算机、或其它可编程数据处理装置的处理器,以产生一种机器,使得经由计算机或其它可编程数据处理装置的处理器执行的这些指令使能对流程图和/或框图的一个或多个方框中指定的功能/动作的实现。这种处理器可以是但不限于是通用处理器、专用处理器、特殊应用处理器或者现场可编程逻辑阵列。还可理解,框图和/或流程图中的每个方框以及框图和/或流程图中的方框的组合,也可以由执行指定的功能或动作的专用硬件来实现,或可由专用硬件和计算机指令的组合来实现。
还需要说明的是,本发明中提及的示例性实施例,基于一系列的步骤或者装置描述一些方法或系统。但是,本发明不局限于上述步骤的顺序,也就是说,可以按照实施例中提及的顺序执行步骤,也可以不同于实施例中的顺序,或者若干步骤同时执行。
以上,仅为本发明的具体实施方式,所属领域的技术人员可以清楚地了解到,为了描述的方便和简洁,上述描述的系统、模块和单元的具体工作过程,可以参考前述方法实施例中的对应过程,在此不再赘述。应理解,本发明的保护范围并不局限于此,任何熟悉本技术领域的技术人员在本发明揭露的技术范围内,可轻易想到各种等效的修改或替换,这些修改或替换都应涵盖在本发明的保护范围之内。

Claims (20)

  1. 一种信息处理方法,包括:
    接收第一电子设备发送的支付信息获取请求,所述支付信息获取请求包括目标收款方的第一人脸采集图像;
    响应于所述支付信息获取请求,确定所述第一人脸采集图像对应的目标索引信息;
    根据所述目标索引信息对应的目标账户信息,生成支付信息;
    将所述支付信息发送至所述第一电子设备,以使所述第一电子设备显示所述支付信息对应的支付界面。
  2. 根据权利要求1所述的方法,其中,所述确定所述第一人脸采集图像对应的目标索引信息,包括:
    在多个预设人脸图像中,识别与所述第一人脸采集图像相匹配的目标人脸图像;
    确定与所述目标人脸图像相关联的所述目标索引信息。
  3. 根据权利要求2所述的方法,其中,所述在多个预设人脸图像中,识别与所述第一人脸采集图像相匹配的目标人脸图像,包括:
    确定每个所述预设人脸图像与所述第一人脸采集图像的人脸相似度;
    根据所述人脸相似度,确定所述目标人脸图像。
  4. 根据权利要求3所述的方法,其中,所述支付信息获取请求还包括所述第一电子设备的设备位置信息,所述确定每个所述预设人脸图像与所述第一人脸采集图像的人脸相似度,包括:
    确定所述设备位置信息所属的目标区域;
    在多个所述预设人脸图像中,筛选标记有所述目标区域的预设人脸图像;
    确定每个筛选出的预设人脸图像与所述第一人脸采集图像的人脸相似度。
  5. 根据权利要求3所述的方法,其中,所述根据所述人脸相似度,确定所述目标人脸图像,包括:
    在存在一个人脸相似度最大的第一人脸图像的情况下,将所述第一人脸图像,作为所述目标人脸图像。
  6. 根据权利要求3所述的方法,其中,所述支付信息获取请求还包括所述第一电子设备的设备位置信息,所述根据所述人脸相似度,确定所述目标 人脸图像,包括:
    在存在多个人脸相似度最大的第二人脸图像的情况下,获取每个所述第二人脸图像所标记的预设位置信息;
    将预设位置信息与所述设备位置信息相同的第二人脸图像,作为所述目标人脸图像。
  7. 根据权利要求3所述的方法,其中,所述根据所述人脸相似度,确定所述目标人脸图像,包括:
    在存在多个人脸相似度最大的第三人脸图像的情况下,获取每个所述第三人脸图像所标记的预设文字信息;
    将预设文字信息与所述第一人脸采集图像中的图像文字信息相同的第三人脸图像,作为所述目标人脸图像。
  8. 根据权利要求2所述的方法,其中,所述在多个预设人脸图像中,识别与所述第一人脸采集图像相匹配的目标人脸图像,包括:
    在多个所述预设人脸图像中,识别与所述第一人脸采集图像相同的第四人脸图像;
    将所述第四人脸图像,作为所述目标人脸图像。
  9. 根据权利要求2所述的方法,其中,所述根据所述目标索引信息对应的目标账户信息,生成支付信息,包括:
    在多个预设账户信息中,查询所述目标索引信息对应的所述目标账户信息;
    根据所述目标账户信息,生成所述支付信息。
  10. 根据权利要求9所述的方法,其中,所述接收第一电子设备发送的支付信息获取请求之前,还包括:
    获取第二电子设备发送的注册请求,所述注册请求包括所述目标收款方的第二人脸采集图像、收款账户信息和用户信息;
    对所述用户信息进行身份认证,得到身份认证结果;
    在所述身份认证结果为通过认证的情况下,将所述第二人脸采集图像作为所述目标人脸图像,并且将所述收款账户信息作为所述目标账户信息;
    生成所述目标人脸图像对应的目标索引信息;
    将所述目标人脸图像与所述目标索引信息关联存储,并且将所述目标账户信息与所述目标索引信息关联存储。
  11. 根据权利要求10所述的方法,其中,所述对所述用户信息进行身份认证,得到身份认证结果,包括:
    将所述用户信息发送至身份认证服务器,以使所述身份认证服务器对所述用户信息进行身份认证,得到身份认证结果;
    接收所述身份认证结果。
  12. 根据权利要求10所述的方法,其中,所述将所述目标人脸图像与所述目标索引信息关联存储,包括:
    将所述目标人脸图像和所述目标索引信息发送至人脸识别服务器,以使所述人脸识别服务器将所述目标人脸图像与所述目标索引信息关联存储。
  13. 根据权利要求12所述的方法,其中,所述确定所述第一人脸采集图像对应的目标索引信息,包括:
    向所述人脸识别服务器发送人脸识别请求,以使所述人脸识别服务器响应于所述人脸识别请求,在多个预设人脸图像中识别与所述第一人脸采集图像相匹配的所述目标人脸图像,并且确定与所述目标人脸图像相关联的所述目标索引信息,其中,所述人脸识别请求包括所述第一人脸采集图像;
    接收所述人脸识别服务器反馈的所述目标索引信息。
  14. 根据权利要求10所述的方法,其中,所述将所述目标账户信息与所述目标索引信息关联存储,包括:
    将所述目标账户信息和所述目标索引信息发送至信息生成服务器,以使所述信息生成服务器将所述目标账户信息与所述目标索引信息关联存储。
  15. 根据权利要求14所述的方法,其中,所述根据所述目标索引信息对应的目标账户信息,生成支付信息,包括:
    向所述信息生成服务器发送账户信息获取请求,以使所述信息生成服务器响应于所述账户信息获取请求,在多个预设账户信息中查询所述目标索引信息对应的所述目标账户信息,并且根据所述目标账户信息生成所述支付信息,其中,所述账户信息获取请求包括所述目标索引信息;
    接收所述信息生成服务器反馈的所述支付信息。
  16. 一种信息处理方法,包括:
    接收用户对目标应用的第一输入;
    响应于所述第一输入,获取目标收款方的第一人脸采集图像;
    向所述目标应用对应的应用服务器发送支付信息获取请求,以使所述应 用服务器响应于所述支付信息获取请求,确定所述第一人脸采集图像对应的目标索引信息,并且根据所述目标索引信息对应的目标账户信息,生成支付信息,其中,所述支付信息获取请求包括所述第一人脸采集图像;
    接收所述应用服务器发送的所述支付信息;
    显示所述支付信息对应的支付界面。
  17. 一种信息处理装置,包括:
    第一请求接收模块,用于接收第一电子设备发送的支付信息获取请求,所述支付信息获取请求包括目标收款方的第一人脸采集图像;
    索引信息确定模块,用于响应于所述支付信息获取请求,确定所述第一人脸采集图像对应的目标索引信息;
    支付信息生成模块,用于根据所述目标索引信息对应的目标账户信息,生成支付信息;
    支付信息发送模块,用于将所述支付信息发送至所述第一电子设备,以使所述第一电子设备显示所述支付信息对应的支付界面。
  18. 一种信息处理装置,包括:
    第一输入接收模块,用于接收用户对目标应用的第一输入;
    第一图像获取模块,用于响应于所述第一输入,获取目标收款方的第一人脸采集图像;
    第一请求发送模块,用于向所述目标应用对应的应用服务器发送支付信息获取请求,以使所述应用服务器响应于所述支付信息获取请求,确定所述第一人脸采集图像对应的目标索引信息,并且根据所述目标索引信息对应的目标账户信息,生成支付信息,其中,所述支付信息获取请求包括所述第一人脸采集图像;
    支付信息接收模块,用于接收所述应用服务器发送的所述支付信息;
    支付界面显示模块,用于显示所述支付信息对应的支付界面。
  19. 一种信息处理设备,包括:处理器以及存储有计算机程序指令的存储器,所述处理器执行所述计算机程序指令时实现如权利要求1-15或权利要求16任意一项所述的信息处理方法。
  20. 一种计算机可读存储介质,所述计算机可读存储介质上存储有计算机程序指令,所述计算机程序指令被处理器执行时实现如权利要求1-15或权利要求16任意一项所述的信息处理方法。
PCT/CN2021/075342 2020-02-18 2021-02-04 信息处理方法、装置、设备及介质 Ceased WO2021164571A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202010100326.7 2020-02-18
CN202010100326.7A CN111325556A (zh) 2020-02-18 2020-02-18 信息处理方法、装置、设备及介质

Publications (1)

Publication Number Publication Date
WO2021164571A1 true WO2021164571A1 (zh) 2021-08-26

Family

ID=71172650

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/075342 Ceased WO2021164571A1 (zh) 2020-02-18 2021-02-04 信息处理方法、装置、设备及介质

Country Status (3)

Country Link
CN (1) CN111325556A (zh)
TW (1) TWI773119B (zh)
WO (1) WO2021164571A1 (zh)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115913739A (zh) * 2022-11-30 2023-04-04 重庆长安汽车股份有限公司 一种车机账户双重认证的登录方法、装置、设备及存储介质
CN116450876A (zh) * 2023-04-12 2023-07-18 深圳市九牛一毛智能物联科技有限公司 海量人脸图像的查找对比方法、装置、设备及介质

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111882321B (zh) * 2020-07-08 2024-10-11 支付宝(杭州)信息技术有限公司 身份核验处理方法、装置及系统
CN114764710A (zh) * 2021-01-04 2022-07-19 腾讯科技(深圳)有限公司 生物特征支付处理方法、装置及电子设备
CN114971631A (zh) * 2021-02-23 2022-08-30 西安艾润物联网技术服务有限责任公司 电子货币的支付方法、装置及计算机存储介质
CN115564439A (zh) * 2021-07-01 2023-01-03 广州腾讯科技有限公司 业务处理方法、装置、设备及计算机可读存储介质
CN114333185A (zh) * 2021-12-31 2022-04-12 深圳市商汤科技有限公司 支付方法及装置、电子设备和存储介质
CN116485402B (zh) * 2023-06-21 2024-03-26 深圳市谷熊网络科技有限公司 支付方法、临时用户账户处理方法、装置、设备及介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107301551A (zh) * 2017-07-15 2017-10-27 刘兴丹 一种网络支付前搜索、查询、验证的方法、装置、系统
CN110009322A (zh) * 2018-12-25 2019-07-12 阿里巴巴集团控股有限公司 转账过程中的身份验证方法和装置
CN110415463A (zh) * 2019-07-25 2019-11-05 腾讯科技(深圳)有限公司 一种支付方法及终端
CN110458569A (zh) * 2019-07-01 2019-11-15 阿里巴巴集团控股有限公司 一种刷脸支付方法和装置

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140279323A1 (en) * 2013-03-15 2014-09-18 Mitek Systems, Inc. Systems and methods for capturing critical fields from a mobile image of a credit card bill
CN104715373B (zh) * 2015-04-01 2018-04-20 京东方科技集团股份有限公司 一种支付设备及方法
CN108171506A (zh) * 2017-12-27 2018-06-15 珠海市魅族科技有限公司 一种移动支付方法及终端、电子设备及可读存储介质
CN109118215B (zh) * 2018-06-12 2021-04-27 创新先进技术有限公司 支付处理方法、装置及服务器
CN109377234A (zh) * 2018-09-20 2019-02-22 阿里巴巴集团控股有限公司 一种刷脸支付方法和设备
CN110599155A (zh) * 2019-08-05 2019-12-20 威富通科技有限公司 一种支付方法和支付系统

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107301551A (zh) * 2017-07-15 2017-10-27 刘兴丹 一种网络支付前搜索、查询、验证的方法、装置、系统
CN110009322A (zh) * 2018-12-25 2019-07-12 阿里巴巴集团控股有限公司 转账过程中的身份验证方法和装置
CN110458569A (zh) * 2019-07-01 2019-11-15 阿里巴巴集团控股有限公司 一种刷脸支付方法和装置
CN110415463A (zh) * 2019-07-25 2019-11-05 腾讯科技(深圳)有限公司 一种支付方法及终端

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115913739A (zh) * 2022-11-30 2023-04-04 重庆长安汽车股份有限公司 一种车机账户双重认证的登录方法、装置、设备及存储介质
CN116450876A (zh) * 2023-04-12 2023-07-18 深圳市九牛一毛智能物联科技有限公司 海量人脸图像的查找对比方法、装置、设备及介质

Also Published As

Publication number Publication date
TW202133077A (zh) 2021-09-01
CN111325556A (zh) 2020-06-23
TWI773119B (zh) 2022-08-01

Similar Documents

Publication Publication Date Title
WO2021164571A1 (zh) 信息处理方法、装置、设备及介质
US10440197B2 (en) Devices and methods for enhanced image capture of documents
US20150006362A1 (en) Extracting card data using card art
US20200104834A1 (en) Using a customer id in a mobile wallet to make a transaction
WO2017205032A1 (en) Method of using bioinformatics and geographic proximity to authentigate a user and transaction
CN110210854B (zh) 支付信息处理方法、装置、设备及计算机可读存储介质
CN110516672A (zh) 卡证信息识别方法、装置及终端
CN106203425B (zh) 字符识别方法及装置
US20180032804A1 (en) Optical character recognition utilizing hashed templates
WO2018032958A1 (zh) 支付应用中银行卡的绑定方法及装置
TW202008296A (zh) 健保結算方法及裝置和電子設備
CN104408394A (zh) 一种二维码信息的处理方法及通信终端
CN106960338A (zh) 基于二维码支付的移动支付终端、支付方法和支付系统
TW201913484A (zh) 圖像顯示方法及裝置和電子設備
US10504117B2 (en) Methods, systems, and articles of manufacture for fingerprinting signatures and enhanced signature capturing for charge card transactions on mobile communication devices
KR20230087943A (ko) 메타버스 환경과 연계하여 금융 거래 서비스를 제공하는 시스템 및 그 동작 방법
CN110490020B (zh) 条码识别方法、装置、计算机设备和存储介质
US20190020675A1 (en) Digital dye packs
CN108305070B (zh) 账号确认方法、确认装置及计算机可读存储介质
CN115550926B (zh) 一种电子取证方法、系统、装置、设备及存储介质
CN111177684A (zh) 用户身份识别方法、装置、设备及介质
CN111178346B (zh) 文字区域的定位方法、装置、设备及存储介质
KR20190050110A (ko) 금융 서비스 시스템, 고객 단말 및 그의 송금 서비스 방법
HK40033141A (zh) 信息处理方法、装置、设备及介质
US20220020029A1 (en) Systems and methods for an identity escrow accounts (ideas)

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21757167

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21757167

Country of ref document: EP

Kind code of ref document: A1