WO2017193826A1 - 一种云桌面登陆验证方法、云桌面控制系统及客户端 - Google Patents

一种云桌面登陆验证方法、云桌面控制系统及客户端 Download PDF

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Publication number
WO2017193826A1
WO2017193826A1 PCT/CN2017/082427 CN2017082427W WO2017193826A1 WO 2017193826 A1 WO2017193826 A1 WO 2017193826A1 CN 2017082427 W CN2017082427 W CN 2017082427W WO 2017193826 A1 WO2017193826 A1 WO 2017193826A1
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WIPO (PCT)
Prior art keywords
face
verification
cloud desktop
registered
information
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Ceased
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PCT/CN2017/082427
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English (en)
French (fr)
Inventor
朱海涛
仝森太
潘志刚
陈佩文
秦延涛
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ZTE Corp
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ZTE Corp
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/0815—Network architectures or network communication protocols for network security for authentication of entities providing single-sign-on or federations
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/40—Network security protocols
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/0861—Network architectures or network communication protocols for network security for authentication of entities using biometrical features, e.g. fingerprint, retina-scan

Definitions

  • the present disclosure relates to the field of cloud communications, and in particular, to a cloud desktop login verification method, a cloud desktop control system, and a client.
  • the present disclosure provides a cloud desktop login verification method, a cloud desktop control system, and a client, which solves the problem that the user adopts the “user name+password” cloud desktop login mode, which makes the user easy to forget the password or has low security.
  • the present disclosure provides a cloud desktop login verification method, including:
  • the cloud desktop control system obtains identity information and registered face information of the registered user
  • the cloud desktop control system receives a login verification request sent by the client, where the login verification request includes verifying the identity information of the user and verifying the face information;
  • the cloud desktop control system finds corresponding registered face information among the registered users according to the identity information of the verified user, and matches the verified face information with the found registered face information, and matches the Verify that the user provides cloud desktop information.
  • the cloud desktop control system includes a cloud desktop connection server, a face verification server, and a registration database.
  • the cloud desktop control system obtains the identity information of the registered user and the registered face information includes:
  • a registration request sent by the registered user where the registration request includes identity information of the registered user, identity authentication information, and registered face information, and the registered user is performed according to the identity information of the registered user and the identity authentication information.
  • the legality authentication if the authentication is passed, sends the identity information of the registered user and the registered face information to the face verification server;
  • the face verification server processes the registered face information and binds the identity information of the registered user to the registration database.
  • the registered face information includes a registered face image
  • the face The verification server processes the registered face information, including:
  • the face verification server performs key point detection on the registered face image
  • Face feature extraction is performed from the face contour area to obtain registered face features.
  • the key point position is an eye key position; and the face alignment according to the detected key point position includes:
  • the registered face image is rotated in the reverse direction according to the calculated angle so that the eyes are on the same horizontal line.
  • the registered face information includes N registered face images
  • the verified face information includes a verified face image
  • the cloud desktop control system performs the verification
  • the matching of the face information with the found registered face information includes:
  • the face verification server extracts the verification face feature of the verification face image
  • the face verification server matches the verification face feature with the registered face feature corresponding to each registered face image, and determines whether there is a value greater than or equal to the matching threshold among the obtained N matching values, if yes, determining Match through.
  • the matching, by the face verification server, the verification of the face feature and the registration of the face feature includes:
  • the matching threshold is a similarity threshold.
  • the present disclosure also provides a cloud desktop login verification method, including:
  • the client sends the identity information and registered face information of the registered user to the cloud desktop control system;
  • the client sends a login verification request to the cloud desktop control system, where the login verification request includes verifying the identity information of the user and verifying the face information;
  • the client receives the cloud desktop information sent by the cloud desktop control system after the verification user passes the verification for the user to use.
  • the sending, by the client, the identity information of the registered user and the registered face information to the cloud desktop control system includes:
  • the client collects N face images of the currently registered user as the registered face image, and the N is greater than or equal to 1;
  • the client sends the obtained N registered face images together with the identity information of the registered user to the cloud desktop control system.
  • the client sending the login verification request to the cloud desktop control system includes:
  • the client collects a face image of the currently authenticated user as a verification face image
  • the client sends the obtained verification face image together with the identity information of the verification user to the cloud desktop control system.
  • the present disclosure also provides a cloud desktop control system, including: a cloud desktop connection server, Face verification server and registration database;
  • the cloud desktop connection server is configured to obtain the identity information of the registered user and the registered face information and send the information to the face verification server; and receive the login verification request sent by the client, including the identity information of the verification user and the verification face information; Providing cloud desktop information to the verification user upon receiving the verification pass message;
  • the face verification server is configured to complete registration for the registered user according to the identity information and the registered face information of the registered user, and store the registration information in the registration database, where the registration information includes binding storage. And the registered face information of the registered user; and the corresponding registered face information found in the registered user according to the identity information of the verified user, and the verified face information and the found registered face information A matching is performed, and when the matching is passed, a verification pass message is sent to the cloud desktop connection server.
  • the registered face information includes a registered face image
  • the face verification server completes the registered user according to the identity information and the registered face information of the registered user. Registration includes:
  • the face verification server performs key point detection on the registered face image
  • Binding the obtained registered face feature to the identity information of the registered user is stored in the registration database.
  • the registered face information includes N registered face images, and the verified face information includes a verified face image; the face verification server performs the verification
  • the matching of the face information with the found registered face information includes:
  • the face verification server extracts the verification face feature of the verification face image
  • the face verification server matches the verification face feature with the registered face feature corresponding to each registered face image, and determines whether there is a value greater than or equal to the matching threshold among the obtained N matching values, if yes, determining Match through.
  • the present disclosure further provides a client, including a registration module, a verification module, and a cloud desktop processing module;
  • the registration module is configured to send the identity information of the registered user and the registered face information to the cloud desktop control system;
  • the verification module is configured to send a login verification request to the cloud desktop control system, where the login verification request includes verifying identity information of the user and verifying face information;
  • the cloud desktop processing module is configured to receive cloud desktop information sent by the cloud desktop control system after the verification user passes the verification, for use by the user.
  • the present disclosure also provides a non-transitory computer readable storage medium storing computer program instructions when one or more processors of a cloud desktop control system device execute the computer program instructions
  • the cloud desktop control system device performs a cloud desktop login verification method, the method includes: obtaining identity information of the registered user and registering face information; receiving a login verification request sent by the client, where the login verification request includes verifying the user Identity information and verification face information; finding corresponding registration face information among the registered users according to the identity information of the verification user, and matching the verification face information with the found registration face information, and matching, Providing cloud desktop information to the authenticated user.
  • the present disclosure also provides a non-transitory computer readable storage medium having stored therein computer program instructions that are executed when one or more processors of a client device execute the computer program instructions
  • the end device performs a cloud desktop login verification method, the method includes: transmitting, to the cloud desktop control system, identity information and registered face information of the registered user; and sending a login verification request to the cloud desktop control system, the login verification request
  • the method includes: verifying the identity information of the user and verifying the face information; and receiving the cloud desktop information sent by the cloud desktop control system after the verification user passes the verification for the user to use.
  • the present disclosure provides a cloud desktop login verification method, a cloud desktop control system, and a client.
  • the client sends the registered user identity information and registered face information to the cloud desktop control system; the cloud desktop control system binds and stores the registered user. Identity information and registered face information.
  • the client sends a login verification request including the identity information of the verification user and the verification face information to the cloud desktop control system, and the cloud desktop control system finds the corresponding registration face information among the registered users according to the identity information of the verification user. And matching the verification face information with the found registration face information, and matching and passing, providing the cloud user information for the verification user for the user to use.
  • the cloud desktop login verification method provided by the present disclosure has at least the following good effects:
  • the face information is used for login verification. Therefore, the user does not need to remember to input the password when logging in, which can improve the verification efficiency, and can improve the accuracy and convenience of the verification, thereby improving the satisfaction of the user experience;
  • the disclosure uses the face information for registration, the user's identity information is bound and stored with the registered face information; when the user authenticates the login, the registration of the same user is found among the registered users according to the identity information of the authenticated user. The face information is then matched with the verified face information and the found registered face information. In this way, it is not necessary to compare the verification face information with all registered faces in the registration database, which can improve the matching efficiency and accuracy, and improve resource utilization.
  • the face image when the face image is processed by the present disclosure, the face image can be aligned and the image content outside the face contour can be deleted before the face feature is extracted from the face image, thereby reducing the external environment and the face pose to the person.
  • the influence of face features can effectively improve the accuracy of verification.
  • FIG. 1 is a schematic flowchart of a cloud desktop control system side login verification method according to a first embodiment of the present disclosure
  • FIG. 2 is a schematic structural diagram of a cloud desktop control system according to a first embodiment of the present disclosure
  • FIG. 3 is a schematic flowchart of a cloud desktop control system side registration process according to a first embodiment of the present disclosure
  • FIG. 4 is a schematic flowchart of a process for processing a face image according to a first embodiment of the present disclosure
  • FIG. 5 is a schematic flow chart of the face alignment processing in FIG. 4; FIG.
  • FIG. 6 is a schematic flowchart of matching a verification face image according to the first embodiment of the present disclosure
  • FIG. 7 is a schematic flowchart of a client side login verification method according to a second embodiment of the present disclosure.
  • FIG. 8 is a schematic structural diagram of a client according to a second embodiment of the present disclosure.
  • FIG. 9 is a schematic flowchart of a cloud desktop management process according to a third embodiment of the present disclosure.
  • FIG. 10 is a schematic diagram of a process of establishing a cloud desktop in FIG. 9;
  • FIG. 11 is a schematic diagram of a general flow of face registration according to a third embodiment of the present disclosure.
  • FIG. 12 is a schematic flowchart of a face registration process of a client according to a third embodiment of the present disclosure.
  • FIG. 13 is a schematic flowchart of a face feature extraction process according to a third embodiment of the present disclosure.
  • FIG. 14 is a schematic diagram of a face alignment process according to a third embodiment of the present disclosure.
  • FIG. 15 is a schematic diagram of a face verification process according to a third embodiment of the present disclosure.
  • FIG. 16 is a schematic diagram of a face matching process according to a third embodiment of the present disclosure.
  • the cloud desktop login verification method provided in this implementation can collect user face information to complete registration and verification on the client, user registration and verification.
  • the user's face information can be used to complete the user's registration and verification. The following describes the processes performed on the cloud desktop control system side and the client side respectively.
  • the cloud desktop control system obtains the identity information and registered face information of the registered user; the obtaining process can be completed directly in the user registration or in other processes.
  • the cloud desktop control system After receiving the login verification request sent by the client, including the identity information of the verification user and the verification of the face information, the cloud desktop control system finds the corresponding registration face information among the registered users according to the identity information of the verification user, and verifies the face information. Match the found registration face information, match and pass, and provide cloud desktop information for the verification user.
  • the schematic process is shown in Figure 1, including:
  • the cloud desktop control system receives a registration request sent by the client, where the registration request includes the identity information of the registered user and the registered face information.
  • S102 The cloud desktop control system completes registration for the registered user according to the registration request, and the registration information obtained after the registration includes the identity information and the registered face information of the registered user stored in the binding.
  • the cloud desktop control system receives a login verification request sent by the client, where the login verification request includes the identity information of the verification user and the verification face information.
  • the cloud desktop control system finds the corresponding registered face information among the registered users according to the identity information of the verified user, and matches the verified face information with the found registered face information, and if the matching passes, the verification passes, and the user is authenticated. Provide cloud desktop information.
  • the cloud desktop control system in this embodiment includes a cloud desktop connected in sequence.
  • the cloud desktop connection server 21 is configured to receive the registration request sent by the client 20; and to receive the login verification request sent by the client 20; and to provide the verification user with the cloud desktop information when receiving the verification pass message;
  • the face verification server 22 is configured to complete registration for the registered user according to the identity information of the registered user and the registered face information, store the registration information in the registration database 23, and use the registered user according to the identity information of the verification user. The corresponding registered face information is found, and the verified face information is matched with the found registered face information. When the matching is passed, the verification pass message is sent to the cloud desktop connection server 21.
  • the registration database 23 is used for binding storage of the registered user's identity information and registered face image information.
  • the cloud desktop control system also includes a cloud desktop server 24 that is in communication with the cloud desktop connection server 21 and the client 20, respectively.
  • the cloud desktop server in this embodiment establishes a connection with the client 20 after the face verification is passed, and provides corresponding cloud desktop data for the user to use.
  • the cloud desktop connection server 21 is configured to accept a face registration and a face verification request from the client 20, and the cloud desktop connection server 21 invokes the face verification server 22 when processing the face registration and face verification request.
  • the interface, and the client 20 is provided with a face registration interface and a face verification interface.
  • the cloud desktop connection server 21 is further configured to maintain a relationship between the user and the cloud desktop server, and provide an interface for obtaining a cloud desktop list and an interface for starting the cloud desktop to the client 20. It is also used to manage user identity information (including but not limited to user accounts) and user identity authentication information (including but not limited to user account passwords), cloud desktop startup and maintenance.
  • the face verification server 22 is configured to process a face registration and login verification request from the cloud desktop connection server 21; the face verification server 22 provides two interfaces to the cloud desktop connection server 21: a face registration interface and a face verification interface. .
  • the main functions implemented by the face verification server 22 are: processing of face images and extraction and storage of face features, reading and writing of face feature data, and matching of face features.
  • the registration request in this embodiment further includes identity authentication information of the registered user.
  • the identity information in this embodiment includes but is not limited to a user account, and the identity authentication information includes but is not limited to a user account password.
  • the cloud desktop control system completes the registration process for the registered user according to the registration request, as shown in Figure 3, including:
  • the cloud desktop connection server 21 performs legality authentication on the registered user according to the identity information of the registered user and the identity authentication information.
  • S302 Determine whether the authentication is passed. If the authentication is passed, go to S303; otherwise, go to S305.
  • the cloud desktop connection server 21 sends the identity information and the registered face information of the registered user to the face verification server 22.
  • the face verification server 22 processes the registered face information and stores it in the registration database 23 in association with the identity information of the registered user.
  • the parameters that the cloud desktop connection server 21 needs to input for the face registration interface provided by the client 20 include identity information, identity verification information, and registered face image.
  • the face registration interface After receiving the registration request, the face registration interface first performs the legality verification of the user identity.
  • the parameters that the face verification server 22 needs to input for the face registration interface provided by the cloud desktop connection server 21 include identity information and a registered face image.
  • the face verification server 22 can process the face image in the registered face information according to the processing flow shown in FIG. 4, including:
  • the face verification server 22 performs key point detection on the registered face image, and the key point may be the eyes of the user, but is not limited to the eyes, for example, the positions of the two ears, and the like.
  • S402 Perform face alignment according to the detected key point position, and exclude image data outside the face contour area; the elimination manner may be directly deleting image data outside the face contour area.
  • S403 Perform face feature extraction from a face contour area to obtain a registered face feature.
  • the feature extraction in this embodiment can extract the Gabor feature of the face image; of course, it is not limited to this extraction mode, for example, LBP feature extraction, DCT feature extraction, and the like can also be performed.
  • the embodiment can perform dimension reduction processing, for example, performing PCA dimensionality reduction processing, before binding and storing the identity information.
  • dimension reduction processing for example, performing PCA dimensionality reduction processing, before binding and storing the identity information.
  • the obtained face feature is then bound to the identity information and stored in the registration database 23 to complete the registration of the user.
  • the face verification server 22 can process the face features in the above manner for each face image.
  • S501 Calculate an angle between a center line of the eye and a horizontal line by using coordinates of the detected key points of the eye;
  • S502 Perform reverse rotation on the registered face image according to the calculated angle, so that both eyes are on the same horizontal line. This completes the alignment of the face.
  • the client 20 sends a login verification request including the user identity information and the verification face image to the face verification interface provided by the cloud desktop connection server 21 to request identity verification.
  • the cloud desktop connection server 21 sends the login verification request to the face verification server 22; the face verification server 22 finds the registered user of the same identity information in the authentication database according to the identity information in the login verification request, and then extracts the registered user's Register face image information to match the face image information. If the match is successful, the verification is passed.
  • N registered face images can be collected during registration, N is greater than or equal to 1; then the face image and the N registered faces are verified. The image is matched to obtain N matching values. When there is a value greater than or equal to the matching threshold among the obtained N matching values, the matching is determined to be successful.
  • the value of N can be flexibly set according to specific needs, such as taking 2, 4, 5, 6, and so on.
  • the process of matching the verification face information with the found registration face information by the cloud desktop control system is shown in FIG. 6 and includes:
  • the face verification server 22 extracts the verification face feature of the verification face image
  • the face verification server 22 matches the verification face feature with each registered face feature having the same identity information
  • S603 determining whether there is a value greater than or equal to the matching threshold in the obtained matching value; if yes, go to S604; otherwise, go to S605;
  • the face verification server 22 matches the verification face feature with the registered face feature, including:
  • the similarity between the verification face feature and the registered face feature is calculated as a matching value; the similarity in this embodiment may be a cosine similarity.
  • the cloud desktop connection server 21 After the face verification server 22 verifies that the cloud desktop connection server 21 is notified, the cloud desktop connection server 21 returns a token (token) to the client 20; and the input parameter required by the cloud desktop connection server 21 to acquire the interface of the cloud desktop list is a person.
  • the interface After the face authentication passes the token, the interface provides the client 20 with a desktop list corresponding to the user; the interface for starting the cloud desktop needs information such as: token, cloud desktop ID, etc., and the interface receives the request from the client 20. After that, the corresponding cloud desktop is started, and the parameters required to establish a connection with the cloud desktop are returned to the client 20.
  • the client 20 establishes a connection with the corresponding cloud desktop according to the parameter.
  • This embodiment describes the execution process of the login verification of the cloud desktop on the client side.
  • the client in this embodiment may be deployed on a cloud terminal or on a PC.
  • the client can be connected to an image capture device (such as a normal optical camera or other type of camera, which can be built-in or an external camera connected via a network, Bluetooth or cable).
  • the client opens the camera in the face registration and face verification phase, and applies the face detection algorithm to detect the face.
  • the face is detected, the image of the face area is extracted and then normalized to a specified one.
  • the size and conversion into a single-channel grayscale image, then jpeg encoding, and then with the face image and the user's identity information request the cloud desktop connection server related interface to register or verify.
  • the client obtains the cloud desktop information corresponding to the user from the cloud desktop connection server. After the client obtains the desktop information of the user, the desktop information is presented on the interface.
  • the client Sending a request to the cloud desktop connection server, requesting to start the cloud desktop, and obtaining related parameters for establishing a connection with the cloud desktop.
  • the client After obtaining the relevant parameters for establishing a connection with the cloud desktop, the client establishes a connection with the cloud desktop by using the parameter, and The content of the cloud desktop is displayed on the client in real time for the user to use.
  • the process of the client in the entire verification process is: the client sends the identity information of the registered user and the registered face information to the cloud desktop control system; the client sends a login verification request to the cloud desktop control system, and the login verification request includes the verification user.
  • the identity information and the verification face information are received by the cloud desktop control system for verifying the user's cloud desktop information sent after the user passes the verification.
  • Figure 7 including:
  • the client sends a registration request to the cloud desktop control system for user registration, where the registration request includes the identity information of the registered user and the collected registered face information; the registered face information includes the collected N face images; the collection may pass Take a photo or take a video to collect.
  • the client sends a login verification request to the cloud desktop control system, where the login verification request includes the identity information of the verification user and the collected verification face information.
  • S703 The client receives the cloud desktop information sent by the cloud desktop control system after verifying that the user passes the verification, and the user uses the cloud desktop information.
  • the client sends a registration request to the cloud desktop control system, including:
  • the identity information needs to be input on the client first, and then the client starts the image collection device to perform registration face image collection.
  • the face detection function is enabled for image acquisition in a preset time period, and face detection is performed on the collected picture frame. If no face is detected in the current frame, the next frame is continuously detected, and if a face is detected, Pull out the image of the face area and do the size normalization, grayscale, encoding (such as jpeg encoding or other encoding). Then, it is judged whether the number of collected faces has reached the set number of faces N. If the face is not detected, if it is reached, the registered user enters identity authentication information (such as an account password) and connects to the cloud desktop.
  • the face registration interface of the server sends a registration request including identity information, identity authentication information, and registered face image information.
  • the face detection algorithm can adopt the mature Adaboost cascade classifier method.
  • the process of sending the login verification request to the cloud desktop control system through the client includes:
  • the client collects the face image of the currently verified user through the image collecting device as the verification face image; where the image is collected, a verification face image can be collected; of course, the solution of the present disclosure is also applicable to collecting multiple verification face images. In the verification, as long as any one of them matches the registered face image, the match is successful once.
  • the client sends the obtained verification face image together with the identity information of the verification user to the cloud desktop control system for verification.
  • the client 20 in this embodiment includes a registration module 201, a verification module 202, and a cloud desktop processing module 203;
  • the registration module 201 is configured to send a registration request to the cloud desktop control system for user registration by using the foregoing manner;
  • the verification module 202 is configured to send a login verification request to the cloud desktop control system by using the foregoing manner;
  • the cloud desktop processing module 203 is configured to receive cloud desktop information sent by the cloud desktop control system after verifying that the user passes the verification for the user to use.
  • the request is sent to the cloud desktop connection server to obtain information about all the cloud desktops owned by the user, and the obtained information of all the cloud desktops is displayed on the screen for the user to select; the user selects a cloud on the screen.
  • the cloud desktop connection server After the desktop sends a request to the cloud desktop connection server, indicating that the cloud desktop is to be connected and used, after receiving the request, the cloud desktop connection server starts the corresponding cloud desktop, and sends the parameters required to establish a connection with the cloud desktop.
  • the cloud desktop processing module 203 is provided. After the cloud desktop processing module 203 retrieves the parameters required for establishing the connection, the cloud desktop is used to establish a connection with the cloud desktop, and the content of the cloud desktop is displayed on the client's screen in real time for the user to use.
  • FIG. 9 is a flowchart of an overall process of cloud desktop management provided by the embodiment, including the following steps:
  • S901 The administrator creates a user account and password of the cloud desktop for the user, and allocates a cloud desktop.
  • S902 The registered user uses the client to perform face registration.
  • the cloud desktop establishing process described in S904 is as shown in FIG. 10, and includes:
  • S904-1 The client sends a request to the cloud desktop connection server to obtain information about all cloud desktops owned by the user;
  • S904-2 The client displays the information of all the acquired cloud desktops on the screen for the user to select;
  • S904-3 After the user selects a cloud desktop on the screen, the client sends a request to the cloud desktop connection server, indicating that the cloud desktop is to be connected and used;
  • the cloud desktop connection server After receiving the request, the cloud desktop connection server starts the corresponding cloud desktop, and sends parameters required for establishing a connection with the cloud desktop to the client;
  • the client After obtaining the parameters required for establishing the connection, the client uses the parameter to establish a connection with the cloud desktop, and displays the content of the cloud desktop in real time on the screen of the client for the user to use.
  • S1101 The user collects a specified number of face images through the client.
  • S1102 The client sends a registration request to the face registration interface of the cloud desktop connection server with the face image and the username and password of the person to be registered.
  • S1103 The cloud desktop connection server verifies that the user name and password of the user to be registered are correct. If the verification is incorrect, the registration is not performed, and the entire registration process ends. If the verification is performed correctly, S1104 is executed.
  • S1104 The cloud desktop connection server sends a request to the face registration interface of the face verification server with the registered face image and the username of the person to be registered.
  • S1105 The face verification server performs key point detection, face alignment, and feature extraction on the sent face.
  • the face verification server writes the extracted feature to the registration database, and if the registration database has characteristics of the person to be registered, the old feature is overwritten with the new feature.
  • FIG. 12 is a processing flow when the client performs face registration, and includes the following steps:
  • S1201 The user inputs a user account and starts the registration function.
  • S1202 The client program opens the camera connected to it, and starts counting the time of the face through the countdown prompt.
  • S1204 Perform face detection on the picture frame acquired by the camera. If no face is detected in the current frame, continue to detect the next frame picture, and if the face is detected, perform S1205.
  • S1205 The image of the face area is extracted, and the size is normalized, grayscaled, and jpeg coded.
  • S1206 It is determined whether the number of collected faces has reached the set number of faces, and if not, the process proceeds to S1204. Continue to detect the face, if it is reached, proceed to S1207.
  • S1207 The user inputs a password and sends a registration request to the face registration interface of the cloud desktop connection server.
  • FIG. 13 is a flowchart of a face verification server for performing face feature extraction, and the process includes the following steps:
  • S1302 Align the face according to the detected position of the key point, and delete the image content outside the outline of the face.
  • S1303 Calculate the Gabor feature of the face region, and perform PCA dimensionality reduction processing on the feature.
  • the face alignment of S1302 can be realized by the steps shown in FIG. 14:
  • S1302-1 Calculate the angle between the center line of the eye and the horizontal line by using the coordinates of the detected key points of the eye.
  • S1302-2 Use the calculated angle to reverse the image so that both eyes are on the same horizontal line.
  • Figure 15 shows the overall flow of face verification. The process includes the following steps:
  • S1501 The client collects the face image of the user to be verified through the mature face detection algorithm Adaboost cascade classifier.
  • S1502 The client sends a request to the face verification interface of the cloud desktop connection server by the user name and the face image of the user to be authenticated.
  • the cloud desktop connection server sends a request to the face verification interface of the face verification server.
  • the face verification server performs face verification and returns the verification result to the cloud desktop connection server.
  • the cloud desktop connection server If the face verification is passed, the cloud desktop connection server generates a token after receiving the verification result of the face verification server, and returns the token to the client.
  • 16 is a processing flow of a face verification server for performing face verification, and the process includes the following steps:
  • S1602 The N facial features corresponding to the user are taken out from the registration database, and compared one by one, and the cosine similarity between the features is calculated.
  • S1603 Determine whether the largest one of the calculated N cosine similarities exceeds the set similarity threshold. If the exceeding exceeds, the verification is passed, otherwise it is not passed.
  • the user name and the face feature are comprehensively considered at the time of login, and the efficiency and security of the face feature comparison are improved compared with the conventional face recognition; when logging in to the cloud desktop, the user is no longer needed. Entering a password not only saves the burden of the user's memory password, but also improves the user experience and efficiency at login.
  • the embodiment of the present disclosure further provides a non-transitory computer readable storage medium storing computer program instructions, when the one or more processors of the cloud desktop control system device execute the computer program instructions, the cloud desktop
  • the control system device performs a cloud desktop login verification method, the method includes: obtaining identity information of the registered user and registering face information; receiving a login verification request sent by the client, where the login verification request includes verifying the identity information of the user and Verifying the face information; finding the corresponding registered face letter among the registered users according to the identity information of the verified user And matching the verified face information with the found registered face information, matching the pass, and providing the verified user with cloud desktop information.
  • Embodiments of the present disclosure also provide a non-transitory computer readable storage medium having stored therein computer program instructions that are executed by a client device when one or more processors of a client device execute the computer program instructions
  • a cloud desktop login verification method comprising: transmitting identity information and registered face information of a registered user to a cloud desktop control system; and sending a login verification request to the cloud desktop control system, where the login verification request includes authenticating a user Identity information and verification face information; receiving cloud desktop information sent by the cloud desktop control system after the verification user passes the verification for the user to use.
  • the cloud desktop login verification method provided by the embodiment of the present disclosure can be applied to a cloud desktop control system device or a client device.
  • the user name and the face feature are comprehensively considered at the time of login, and the traditional face recognition is performed.
  • the efficiency and security of the face feature comparison are improved; when the cloud desktop is logged in, the user no longer needs to input a password, which not only saves the burden of the user's memory password, but also improves the user experience and efficiency at the time of login.

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Abstract

本公开涉及一种云桌面登陆验证方法、云桌面控制系统及客户端，客户端向云桌面控制系统发送注册用户的身份信息和注册人脸信息；云桌面控制系统绑定存储该注册用户的身份信息和注册人脸信息。在登陆桌面时，客户端向云桌面控制系统发送包含验证用户的身份信息和验证人脸信息的登陆验证请求，云桌面控制系统根据验证用户的身份信息在注册用户中找到对应的注册人脸信息进行匹配，匹配通过，为验证用户提供云桌面信息供用户使用。因此用户在登陆时并不需要牢记输入密码，既能提升验证效率，又能提升验证的准确率和便捷性，进而提升用户体验的满意度。

Description

一种云桌面登陆验证方法、云桌面控制系统及客户端 技术领域
本公开涉及云通信领域，尤其涉及一种云桌面登陆验证方法、云桌面控制系统及客户端。
背景技术
随着云计算的快速发展，云桌面的应用越来越广泛。目前在云桌面的登录上仍广泛采用“用户名+密码”的方式。而生活在信息时代的人们在不同的应用领域往往同时有多个账号和密码，如果每个账号都设成相同或相近的密码，则大大降低了“用户名+密码”这种登录方式的安全性，存在安全隐患；而如果每个账号的密码都设置为不相同，则需要花很大精力去记住这些密码。导致用户往往因忘记密码而不能正常进行登录，降低了用户体验的满意度。
因此在云桌面的登录上，实现一种安全、方便、高效的登录方式，是本领域技术人员亟待解决的技术问题。
发明内容
本公开提供了一种云桌面登陆验证方法、云桌面控制系统及客户端，解决现有采用“用户名+密码”的云桌面登陆方式导致用户容易忘记密码或安全性低的问题。
本公开提供了一种云桌面登陆验证方法，包括：
云桌面控制系统获取注册用户的身份信息和注册人脸信息；
所述云桌面控制系统接收客户端发送的登陆验证请求，所述登陆验证请求包含验证用户的身份信息和验证人脸信息；
所述云桌面控制系统根据所述验证用户的身份信息在注册用户中找到对应的注册人脸信息，并将所述验证人脸信息与找到的注册人脸信息进行匹配，匹配通过，为所述验证用户提供云桌面信息。
可选的，在本公开的一种实施例中，云桌面控制系统包括云桌面连接服务器、人脸验证服务器和注册数据库；云桌面控制系统获取注册用户的身份信息和注册人脸信息包括：
所述云桌面连接服务器接收所述注册用户发送的注册请求，该注册请求包含注册用户的身份信息、身份认证信息以及注册人脸信息，根据注册用户的身份信息和身份认证信息对该注册用户进行合法性认证，如认证通过，将所述注册用户的身份信息和注册人脸信息发送给人脸验证服务器；
所述人脸验证服务器将所述注册人脸信息进行处理后与所述注册用户的身份信息绑定存储于所述注册数据库中。
可选的，在本公开的一种实施例中，所述注册人脸信息包含注册人脸图像，所述人脸 验证服务器对所述注册人脸信息进行处理包括：
所述人脸验证服务器对所述注册人脸图像进行关键点检测；
根据检测到的关键点位置进行人脸对齐，排除人脸轮廓区域外的图像数据；
从人脸轮廓区域进行人脸特征提取得到注册人脸特征。
可选的，在本公开的一种实施例中，所述关键点位置为眼部关键点位置；根据检测到的关键点位置做人脸对齐包括：
利用检测到的眼部关键点的坐标计算双眼中心连接线与水平线之间的夹角；
根据计算出来的夹角对注册人脸图像进行反向旋转，使双眼处于同一水平线上。
可选的，在本公开的一种实施例中，所述注册人脸信息包含N幅注册人脸图像，所述验证人脸信息包含验证人脸图像；所述云桌面控制系统将所述验证人脸信息与找到的注册人脸信息进行匹配包括：
所述人脸验证服务器提取所述验证人脸图像的验证人脸特征；
所述人脸验证服务器将所述验证人脸特征与各幅注册人脸图像对应的注册人脸特征进行匹配，判断得到的N个匹配值中是否存在大于等于匹配阈值的值，如存在，判定匹配通过。
可选的，在本公开的一种实施例中，所述人脸验证服务器将所述验证人脸特征与注册人脸特征进行匹配包括：
计算所述验证人脸特征与所述注册人脸特征的相似度作为匹配值；所述匹配阈值为相似度阈值。
为了解决上述问题，本公开还提供了一种云桌面登陆验证方法，包括：
客户端向云桌面控制系统发送注册用户的身份信息和注册人脸信息；
客户端向所述云桌面控制系统发送登陆验证请求，所述登陆验证请求包含验证用户的身份信息和验证人脸信息；
客户端接收所述云桌面控制系统对所述验证用户验证通过之后发送的云桌面信息供用户使用。
在本公开的一种实施例中，客户端向云桌面控制系统发送注册用户的身份信息和注册人脸信息包括：
客户端采集当前注册用户的N幅人脸图像作为注册人脸图像，所述N大于等于1；
所述客户端将得到的N幅注册人脸图像和该注册用户的身份信息一起发给所述云桌面控制系统。
在本公开的一种实施例中，客户端向云桌面控制系统发送登陆验证请求包括：
客户端采集当前验证用户的人脸图像作为验证人脸图像；
所述客户端将得到的验证人脸图像和该验证用户的身份信息一起发给所述云桌面控制系统。
为了解决上述问题，本公开还提供了一种云桌面控制系统，包括：云桌面连接服务器、 人脸验证服务器和注册数据库；
云桌面连接服务器用于获取注册用户的身份信息和注册人脸信息发给人脸验证服务器；以及用于接收客户端发送的包含验证用户的身份信息和验证人脸信息的登陆验证请求；还用于接收到验证通过消息时向所述验证用户提供云桌面信息；
所述人脸验证服务器用于根据所述注册用户的身份信息和注册人脸信息为该注册用户完成注册，将所述注册信息存储于所述注册数据库中，所述注册信息包含绑定存储的该注册用户的身份信息和注册人脸信息；以及用于根据所述验证用户的身份信息在注册用户中找到对应的注册人脸信息，并将所述验证人脸信息与找到的注册人脸信息进行匹配，匹配通过时，向所述云桌面连接服务器发送验证通过消息。
可选的，在本公开的一种实施例中，所述注册人脸信息包含注册人脸图像，所述人脸验证服务器根据所述注册用户的身份信息和注册人脸信息为该注册用户完成注册包括：
所述人脸验证服务器对所述注册人脸图像进行关键点检测；
根据检测到的关键点位置进行人脸对齐，删除人脸轮廓区域外的图像数据；
从人脸轮廓区域进行人脸特征提取得到注册人脸特征；
将得到的注册人脸特征与注册用户的身份信息绑定存储于所述注册数据库中。
可选的，在本公开的一种实施例中，所述注册人脸信息包含N幅注册人脸图像，所述验证人脸信息包含验证人脸图像；所述人脸验证服务器将所述验证人脸信息与找到的注册人脸信息进行匹配包括：
所述人脸验证服务器提取所述验证人脸图像的验证人脸特征；
所述人脸验证服务器将所述验证人脸特征与各幅注册人脸图像对应的注册人脸特征进行匹配，判断得到的N个匹配值中是否存在大于等于匹配阈值的值，如存在，判定匹配通过。
为了解决上述问题，本公开还提供了一种客户端，包括注册模块、验证模块以及云桌面处理模块；
所述注册模块用于向云桌面控制系统发送注册用户的身份信息和注册人脸信息；
所述验证模块用于向所述云桌面控制系统发送登陆验证请求，所述登陆验证请求包含验证用户的身份信息和验证人脸信息；
所述云桌面处理模块用于接收所述云桌面控制系统对所述验证用户验证通过之后发送的云桌面信息供用户使用。
为了解决上述问题，本公开还提供了一种非临时性计算机可读存储介质，其中存储有计算机程序指令，当云桌面控制系统设备的一个或多个处理器执行所述计算机程序指令时，所述云桌面控制系统设备执行一种云桌面登陆验证方法，所述方法包括：获取注册用户的身份信息和注册人脸信息；接收客户端发送的登陆验证请求，所述登陆验证请求包含验证用户的身份信息和验证人脸信息；根据所述验证用户的身份信息在注册用户中找到对应的注册人脸信息，并将所述验证人脸信息与找到的注册人脸信息进行匹配，匹配通过， 为所述验证用户提供云桌面信息。
为了解决上述问题，本公开还提供了一种非临时性计算机可读存储介质，其中存储有计算机程序指令，当客户端设备的一个或多个处理器执行所述计算机程序指令时，所述客户端设备执行一种云桌面登陆验证方法，所述方法包括：向云桌面控制系统发送注册用户的身份信息和注册人脸信息；向所述云桌面控制系统发送登陆验证请求，所述登陆验证请求包含验证用户的身份信息和验证人脸信息；接收所述云桌面控制系统对所述验证用户验证通过之后发送的云桌面信息供用户使用。
本公开的有益效果：
本公开提供了一种云桌面登陆验证方法、云桌面控制系统及客户端，客户端向云桌面控制系统发送注册用户的身份信息和注册人脸信息；云桌面控制系统绑定存储该注册用户的身份信息和注册人脸信息。在登陆桌面时，客户端向云桌面控制系统发送包含验证用户的身份信息和验证人脸信息的登陆验证请求，云桌面控制系统根据验证用户的身份信息在注册用户中找到对应的注册人脸信息，并将验证人脸信息与找到的注册人脸信息进行匹配，匹配通过，则为验证用户提供云桌面信息供用户使用。本公开提供的云桌面登陆验证方法至少具备以下好的效果：
1、采用人脸信息进行登陆验证，因此用户在登陆时并不需要牢记输入密码，既能提升验证效率，又能提升验证的准确率和便捷性，进而提升用户体验的满意度；
2、本公开采用人脸信息进行注册时，将用户的身份信息与注册人脸信息进行绑定存储；在用户验证登陆时，根据验证用户的身份信息在注册用户中找到身份相同的用户的注册人脸信息，然后将验证人脸信息与找到的注册人脸信息进行匹配即可。这样并不需要将验证人脸信息与注册数据库中的所有注册人脸进行逐一比对，既能提升匹配效率和准确率，又能提升资源利用率。
进一步地，本公开对人脸图像进行处理时，在从人脸图像中提取人脸特征前可对人脸图像进行对齐及删除人脸轮廓外的图像内容，减少外部环境及人脸姿势对人脸特征的影响，可有效地提高验证的准确率。
附图说明
图1为本公开第一实施例提供的云桌面控制系统侧登陆验证方法流程示意图；
图2为本公开第一实施例提供的云桌面控制系统结构示意图；
图3为本公开第一实施例提供的云桌面控制系统侧注册流程示意图；
图4为本公开第一实施例提供的对人脸图像处理流程示意图；
图5为图4中对人脸对齐处理的流程示意图；
图6为本公开第一实施例提供的对验证人脸图像进行匹配的流程示意图；
图7为本公开第二实施例提供的客户端侧登陆验证方法流程示意图；
图8为本公开第二实施例提供的客户端结构示意图；
图9为本公开第三实施例提供的云桌面管理流程示意图；
图10为图9中云桌面建立过程流程示意图；
图11为本公开第三实施例提供的人脸注册的总流程示意图；
图12为本公开第三实施例提供的客户端的人脸注册流程示意图；
图13为本公开第三实施例提供的人脸特征提取流程示意图；
图14为本公开第三实施例提供的人脸对齐流程示意图；
图15为本公开第三实施例提供的人脸验证流程示意图；
图16为本公开第三实施例提供的人脸匹配流程示意图。
具体实施方式
下面将结合本公开实施例中的附图，对本公开实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例只是本公开中一部分实施例，而不是全部的实施例。基于本公开中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本公开保护的范围。
现通过具体实施方式结合附图的方式对本公开做出进一步的诠释说明。
第一实施例：
本实施提供的云桌面登陆验证方法，在客户端，用户注册时和验证时可以采集用户人脸信息完成注册及验证。在云桌面控制系统侧，则可对应的采用用户人脸信息完成用户的注册及验证。下面分别对云桌面控制系统侧和客户端侧执行的过程进行示例说明。
请参见图1所示，在云桌面控制系统侧，云桌面控制系统获取注册用户的身份信息和注册人脸信息；该获取过程既可以直接在用户注册中完成，也可以在其他流程中完成。云桌面控制系统接收客户端发送的包含验证用户的身份信息和验证人脸信息的登陆验证请求后，根据验证用户的身份信息在注册用户中找到对应的注册人脸信息，并将验证人脸信息与找到的注册人脸信息进行匹配，匹配通过，为验证用户提供云桌面信息。示意流程请参见图1所示，包括：
S101：云桌面控制系统接收客户端发送的注册请求，该注册请求包含注册用户的身份信息和注册人脸信息。
S102：云桌面控制系统根据注册请求为注册用户完成注册，注册后得到的注册信息包含绑定存储的该注册用户的身份信息和注册人脸信息。
S103：云桌面控制系统接收客户端发送的登陆验证请求，登陆验证请求包含验证用户的身份信息和验证人脸信息。
S104：云桌面控制系统根据验证用户的身份信息在注册用户中找到对应的注册人脸信息，并将验证人脸信息与找到的注册人脸信息进行匹配，匹配通过，则验证通过，为验证用户提供云桌面信息。
可选的，请参见图2所示，本实施例中的云桌面控制系统包括依次通信连接的云桌面 连接服务器21、人脸验证服务器22和注册数据库23；且应当理解的是，本实施例中的云桌面连接服务器21、人脸验证服务器22和注册数据库23可以部署在建有网络连接的三台物理服务器或两台物理服务器上；也可以部署在同一台物理服务器上。
云桌面连接服务器21用于接收客户端20发送的注册请求；以及用于接收客户端20发送的登陆验证请求；还用于接收到验证通过消息时向所述验证用户提供云桌面信息；
人脸验证服务器22用于根据注册用户的身份信息和注册人脸信息为该注册用户完成注册，将注册信息存储于所述注册数据库23中；以及用于根据验证用户的身份信息在注册用户中找到对应的注册人脸信息，并将验证人脸信息与找到的注册人脸信息进行匹配，匹配通过时，向云桌面连接服务器21发送验证通过消息。
注册数据库23用于进行注册用户的身份信息以及注册人脸图像信息的绑定存储。
云桌面控制系统还包括云桌面服务器24，其分别与云桌面连接服务器21和客户端20通信连接。
根据上述描述可知：
本实施例中的云桌面服务器，在人脸验证通过后与客户端20建立连接，提供对应的云桌面数据供用户使用。
云桌面连接服务器21，用于接受来自客户端20的人脸注册和人脸验证请求，在处理人脸注册和人脸验证的请求时该云桌面连接服务器21会调用人脸验证服务器22的相关接口，以及为客户端20提供人脸注册接口和人脸验证接口。另外该云桌面连接服务器21还用于维护用户与云桌面服务器之间的关系，并提供获取云桌面列表的接口以及启动云桌面的接口给客户端20。还用于负责用户身份信息(包括但不限于用户账号)和用户身份认证信息(包括但不限于用户账号密码)的管理，云桌面的启动及维护。
人脸验证服务器22，用于处理来自云桌面连接服务器21的人脸注册和登陆验证请求；该人脸验证服务器22向云桌面连接服务器21提供两个接口：人脸注册接口和人脸验证接口。该人脸验证服务器22实现的主要功能有：人脸图像的处理及人脸特征的提取存储，人脸特征数据的读写以及人脸特征的匹配。
本实施例中，注册用户在利用人脸信息进行注册过程中，为了保证安全性，可先对用户的身份进行合法认证，只有对于合法认证通过的用户才允许进行注册。因此，本实施例中的注册请求还包括注册用户的身份认证信息。本实施例中的身份信息包括但不限于用户账号，身份认证信息包括但不限于用户账号密码。此时云桌面控制系统根据注册请求为注册用户完成注册的过程请参见图3所示，包括：
S301：云桌面连接服务器21根据注册用户的身份信息和身份认证信息对该注册用户进行合法性认证。
S302：判断认证是否通过，如认证通过，转至S303；否则，转至S305。
S303：云桌面连接服务器21将注册用户的身份信息和注册人脸信息发送给人脸验证服务器22。
S304：人脸验证服务器22将注册人脸信息进行处理后与注册用户的身份信息绑定存储于注册数据库23中。
S305：注册流程结束。
也即本实施例中云桌面连接服务器21为客户端20提供的人脸注册接口需要输入的参数包括身份信息、身份验证信息以及注册人脸图像。人脸注册接口接收到注册请求后会先进行用户身份的合法性验证。人脸验证服务器22为云桌面连接服务器21提供的人脸注册接口需要输入的参数则包括身份信息以及注册人脸图像。
本实施例中，为了提升图像匹配的效率和准确率，同时降低存储空间，提升存储资源的利用率。人脸验证服务器22对注册人脸信息中的人脸图像可按图4所示的处理流程，包括：
S401：人脸验证服务器22对注册人脸图像进行关键点检测，该关键点可以是用户的眼部，但不限于眼部，例如还可以是两个耳朵的位置等。
S402：根据检测到的关键点位置进行人脸对齐，排除人脸轮廓区域外的图像数据；排除方式可以是直接删除人脸轮廓区域外的图像数据。
S403：从人脸轮廓区域进行人脸特征提取得到注册人脸特征。本实施例中的特征提取可以提取人脸图像的Gabor特征；当然并不限于这一种提取方式，例如还可以进行LBP特征提取、DCT特征提取等等。
本实施例在完成人脸特征提取之后，将其与身份信息进行绑定存储之前，还可对其进行降维处理，例如进行PCA降维处理。然后将得到的人脸特征与身份信息进行绑定存储在注册数据库23中就完成了该用户的注册。
本实施例中，当注册人脸图像信息包含多幅人脸图像时，人脸验证服务器22对每幅人脸图像都可按上述方式进行处理提取人脸特征。
下面以关键点位置为眼部关键点位置对做人脸对齐的过程进行说明，请参见图5所示，包括：
S501：利用检测到的眼部关键点的坐标计算双眼中心连接线与水平线之间的夹角；
S502：根据计算出来的夹角对注册人脸图像进行反向旋转，使双眼处于同一水平线上。这样完成了对人脸进行对齐处理。
用户登陆时，通过客户端20向云桌面连接服务器21提供的人脸验证接口发送包含该用户身份信息和验证人脸图像的登陆验证请求以请求身份验证。云桌面连接服务器21将该登陆验证请求发给人脸验证服务器22；人脸验证服务器22根据该登陆验证请求中的身份信息在认证数据库中找到相同身份信息的注册用户，然后提取该注册用户的注册人脸图像信息，与验证人脸图像信息进行匹配。匹配成功则验证通过。
本实施例中，为了提升人脸验证的准确性，尽可能避免误判，在注册时可以采集N幅注册人脸图像，N大于等于1；然后将验证人脸图像与这N幅注册人脸图像进行匹配得到N个匹配值，当得到的N个匹配值中存在大于等于匹配阈值的值时，判定匹配成功。 N的取值可以根据具体需求灵活设定，例如取2、4、5、6等等。
本实施例中，云桌面控制系统将验证人脸信息与找到的注册人脸信息进行匹配的过程请参见图6所示，包括：
S601：人脸验证服务器22提取验证人脸图像的验证人脸特征；
S602：人脸验证服务器22将验证人脸特征与具有相同身份信息的各注册人脸特征进行匹配；
S603：判断得到的匹配值中是否存在大于等于匹配阈值的值；如是，转至S604；否则，转至S605；
S604：验证通过。
S605：验证失败。
本实施例中，人脸验证服务器22将验证人脸特征与注册人脸特征进行匹配包括：
计算验证人脸特征与注册人脸特征的相似度作为匹配值；本实施例中的相似度可为余弦相似度。
人脸验证服务器22验证通过后通知云桌面连接服务器21，则云桌面连接服务器21将token(令牌)返回给客户端20；而云桌面连接服务器21获取云桌面列表的接口需要的输入参数为人脸验证通过后的token，该接口向客户端20提供用户对应的桌面列表；启动云桌面的接口需要的入参有：token、云桌面的ID等信息，该接口收到来自客户端20的请求后，会启动对应的云桌面，并将与该云桌面建立连接所需的参数返回给客户端20。客户端20则根据该参数与对应的云桌面建立连接。
第二实施例：
本实施例以客户端侧在云桌面的登陆验证的执行过程进行说明。本实施例中的客户端可以部署在云终端上，也可以部署在PC机上。该客户端可连接图像采集装置(例如普通光学摄像头或者其他类型的摄像头，该摄像头可以是内置的，也可以是通过网络、蓝牙或连接线连接的外置摄像头)。客户端在人脸注册和人脸验证阶段会打开摄像头，并应用人脸检测算法检测人脸，当检测到人脸后，会将人脸区域的图像抠出，然后归一化到一个指定的大小、并转成单通道的灰度图像、然后进行jpeg编码，然后带着人脸图像和用户的身份信息请求云桌面连接服务器的相关接口进行注册或验证。人脸验证通过后，客户端向云桌面连接服务器获取该用户对应的云桌面信息，客户端得到用户的桌面信息后，将桌面信息呈现在界面上，当用户选择某一云桌面时，客户端向云桌面连接服务器发送请求，请求启动该云桌面，并获取与该云桌面建立连接的相关参数，客户端获取到与云桌面建立连接的相关参数后，用该参数与云桌面建立连接，并将云桌面的内容实时地显示在客户端上，供用户使用。客户端在整个验证过程的流程为：客户端向云桌面控制系统发送注册用户的身份信息和注册人脸信息；客户端向所述云桌面控制系统发送登陆验证请求，登陆验证请求包含验证用户的身份信息和验证人脸信息，接收云桌面控制系统对验证用户验证通过之后发送的云桌面信息供用户使用。可选的，见图7所示，包括：
S701：客户端向云桌面控制系统发送注册请求进行用户注册，该注册请求包含注册用户的身份信息和采集的注册人脸信息；注册人脸信息包含采集的N幅人脸图像；其采集可以通过拍照或拍摄视频等方式进行采集。
S702：客户端向云桌面控制系统发送登陆验证请求，该登陆验证请求包含验证用户的身份信息和采集的验证人脸信息。
S703：客户端接收云桌面控制系统对验证用户验证通过之后发送的云桌面信息供用户使用。
上述S701中，客户端向云桌面控制系统发送注册请求包括：
用户注册时，需先在客户端上输入身份信息，然后客户端启动图像采集装置进行注册人脸图像采集。在预设时间段内开启人脸检测功能进行图像采集，对采集到的画面帧进行人脸检测，如果在当前帧没有检测到人脸，则继续检测下一帧画面，如果检测到人脸则抠出人脸区域的图像，并做大小归一化、灰度化，编码(例如jpeg编码或其他编码)。然后判断采集到的人脸数是否已达到设定的人脸数N，如果没有达到继续对人脸进行检测，如果达到，则注册用户身输入身份认证信息(如账号密码)，向云桌面连接服务器的人脸注册接口发包含身份信息、身份认证信息以及注册人脸图像信息的注册请求。
本实施例中人脸检测算法可采用成熟的Adaboost级联分类器的方法。
上述S702中，用户登陆云桌面要进行验证时，通过客户端向云桌面控制系统发送登陆验证请求的过程包括：
客户端通过图像采集装置采集当前验证用户的人脸图像作为验证人脸图像；此处采集图像可采集一幅验证人脸图像即可；当然本公开的方案也适用于采集多幅验证人脸图像，验证时只要其中任意一幅能与注册人脸图像匹配上就算匹配成功一次。
客户端将得到的验证人脸图像和该验证用户的身份信息一起发给云桌面控制系统请求验证。
参见图8所示，本实施例中的客户端20包括注册模块201、验证模块202以及云桌面处理模块203；
注册模块201用于通过上述方式向云桌面控制系统发送注册请求进行用户注册；
验证模块202用于通过上述方式向云桌面控制系统发送登陆验证请求；
云桌面处理模块203用于接收云桌面控制系统对验证用户验证通过之后发送的云桌面信息供用户使用。可选的，向云桌面连接服务器发送请求，来获取用户所拥有的所有云桌面的信息，将获取到的所有云桌面的信息显示在屏幕上，供用户选择；用户在屏幕上选择某一云桌面后，向云桌面连接服务器发送请求，表示要连接并使用该云桌面，云桌面连接服务器在收到该请求后，启动对应的云桌面，并将与该云桌面建立连接所需的参数发送给云桌面处理模块203。云桌面处理模块203取到建立连接所需的参数后，使用该参数与云桌面建立连接，并将云桌面的内容实时地展现在客户端的屏幕上供用户使用。
第三实施例：
为了更好的理解本公开，下面以整个注册、验证流程对本公开做进一步示例说明。
图9是本实施例提供的云桌面管理的总体处理流程图，包括如下步骤：
S901：由管理员为用户创建云桌面的用户账号及密码，并分配云桌面。
S902：注册用户使用客户端进行人脸注册。
S903：人脸注册完成后，用户登陆云桌面时，使用客户端进行人脸验证。
S904：人脸验证通过后启动用户的云桌面并与客户端建立连接供用户使用。
其中S904所述的云桌面建立过程如图10所示，包括：
S904-1：客户端向云桌面连接服务器发送请求，来获取用户所拥有的所有云桌面的信息；
S904-2：客户端将获取到的所有云桌面的信息显示在屏幕上，供用户选择；
S904-3：用户在屏幕上选择某一云桌面后，客户端向云桌面连接服务器发送请求，表示要连接并使用该云桌面；
S904-4：云桌面连接服务器在收到所述的请求后，启动对应的云桌面，并将与该云桌面建立连接所需的参数发送给客户端；
S904-5：客户端获取到建立连接所需的参数后，使用该参数与云桌面建立连接，并将云桌面的内容实时地展现在客户端的屏幕上供用户使用。
其中，人脸注册的总体实现流程参见图11所示，包括：
S1101：用户通过客户端采集指定数目的人脸图像。
S1102：客户端带着人脸图像及待注册人员的用户名和密码向云桌面连接服务器的人脸注册接口发注册请求。
S1103：云桌面连接服务器验证待注册用户的用户名和密码是否正确，如果验证不正确则不进行注册，整个注册流程结束，如果验证正确执行S1104。
S1104：云桌面连接服务器携注册人脸图像及待注册人员的用户名向人脸验证服务器的人脸注册接口发请求。
S1105：人脸验证服务器对发过来的人脸做关键点检测、人脸对齐、特征提取。
S1106：人脸验证服务器将提取到的特征写注册数据库，如果注册数据库中已有待注册人员的特征，则用新的特征覆盖旧的特征。
图12是客户端进行人脸注册时的处理流程，包括如下步骤：
S1201：用户输入用户账号，并开启注册功能。
S1202：客户端程序打开与之相连的摄像头，并通过倒计时提示开始采集人脸的时间。
S1203：倒计时结束后，开启人脸检测功能。
S1204：对摄像头获取到的画面帧进行人脸检测，如果在当前帧没有检测到人脸，则继续检测下一帧画面，如果检测到人脸则进行S1205。
S1205：抠出人脸区域的图像，并做大小归一化、灰度化，jpeg编码。
S1206：判断采集到的人脸数是否已达到设定的人脸数，如果没有达到则转S1204继 续对人脸进行检测，如果达到则进行S1207。
S1207：用户输入密码，并向云桌面连接服务器的人脸注册接口发注册请求。
S1208：等待云桌面连接服务器的人脸注册接口的处理结果，并将结果显示在屏幕上。
图13所示为人脸验证服务器进行人脸特征提取时的流程，该流程包括如下步骤：
S1301：对人脸图像进行关键点检测。
S1302：根据检测到的关键点的位置做人脸对齐，并删除人脸轮廓外的图像内容。
S1303：计算人脸区域的Gabor特征，并对特征进行PCA降维处理。
其中S1302的所述的人脸对齐，可以通过图14所示的步骤实现：
S1302-1：利用检测到的眼部关键点的坐标计算双眼中心连接线与水平线之间的夹角。
S1302-2：利用计算出来的夹角对图像进行反向旋转，使双眼处于同一水平线上。
图15所示为人脸验证的总体流程，该流程包括如下步骤：
S1501：客户端通过成熟的人脸检测算法Adaboost级联分类器采集待验证用户的人脸图像。
S1502：客户端携待验证用户的用户名和人脸图像向云桌面连接服务器的人脸验证接口发请求。
S1503：云桌面连接服务器向人脸验证服务器的人脸验证接口发请求。
S1504：人脸验证服务器进行人脸验证，并将验证结果返回给云桌面连接服务器。
S1505：如果人脸验证通过，云桌面连接服务器在收到人脸验证服务器的验证结果后，生成token，并将该token返回给客户端。
图16是人脸验证服务器进行人脸验证的处理流程，该流程包括如下步骤：
S1601：利用图13所示的方法提取待验证人脸的特征。
S1602：从注册数据库中取出该用户对应的N幅人脸特征，并逐一进行比较，计算特征之间的余弦相似度。
S1603：判断计算的N个余弦相似度中的最大的一个是否超过设定的相似度阈值，超过则认为验证通过，否则就是不通过。
S1604：向云桌面连接服务器返回验证结果。
通过本公开提供的方案，在登录时综合考虑用户名和人脸特征，与传统的人脸识别相比，提高了人脸特征比对的效率和安全性；在登录云桌面时，不再需要用户输入密码，不仅省去了用户记忆密码的负担，还提高了登录时的用户体验和效率。
本公开实施例还提供了一种非临时性计算机可读存储介质，其中存储有计算机程序指令，当云桌面控制系统设备的一个或多个处理器执行所述计算机程序指令时，所述云桌面控制系统设备执行一种云桌面登陆验证方法，所述方法包括：获取注册用户的身份信息和注册人脸信息；接收客户端发送的登陆验证请求，所述登陆验证请求包含验证用户的身份信息和验证人脸信息；根据所述验证用户的身份信息在注册用户中找到对应的注册人脸信 息，并将所述验证人脸信息与找到的注册人脸信息进行匹配，匹配通过，为所述验证用户提供云桌面信息。
本公开实施例还提供了一种非临时性计算机可读存储介质，其中存储有计算机程序指令，当客户端设备的一个或多个处理器执行所述计算机程序指令时，所述客户端设备执行一种云桌面登陆验证方法，所述方法包括：向云桌面控制系统发送注册用户的身份信息和注册人脸信息；向所述云桌面控制系统发送登陆验证请求，所述登陆验证请求包含验证用户的身份信息和验证人脸信息；接收所述云桌面控制系统对所述验证用户验证通过之后发送的云桌面信息供用户使用。
以上仅是本公开的具体实施方式而已，并非对本公开做任何形式上的限制，凡是依据本公开的技术实质对以上实施方式所做的任意简单修改、等同变化、结合或修饰，均仍属于本公开技术方案的保护范围。
工业实用性
本公开实施例提供的云桌面登陆验证方法，可应用于云桌面控制系统设备或客户端设备中，通过本公开提供的方案，在登录时综合考虑用户名和人脸特征，与传统的人脸识别相比，提高了人脸特征比对的效率和安全性；在登录云桌面时，不再需要用户输入密码，不仅省去了用户记忆密码的负担，还提高了登录时的用户体验和效率。

Claims (13)

  1. 一种云桌面登陆验证方法，包括：
    云桌面控制系统获取注册用户的身份信息和注册人脸信息；
    所述云桌面控制系统接收客户端发送的登陆验证请求，所述登陆验证请求包含验证用户的身份信息和验证人脸信息；
    所述云桌面控制系统根据所述验证用户的身份信息在注册用户中找到对应的注册人脸信息，并将所述验证人脸信息与找到的注册人脸信息进行匹配，匹配通过，为所述验证用户提供云桌面信息。
  2. 如权利要求1所述的云桌面登陆验证方法，其中，所述云桌面控制系统包括云桌面连接服务器、人脸验证服务器和注册数据库；云桌面控制系统获取注册用户的身份信息和注册人脸信息包括：
    所述云桌面连接服务器接收所述注册用户发送的注册请求，该注册请求包含注册用户的身份信息、身份认证信息以及注册人脸信息，根据注册用户的身份信息和身份认证信息对该注册用户进行合法性认证，如认证通过，将所述注册用户的身份信息和注册人脸信息发送给人脸验证服务器；
    所述人脸验证服务器将所述注册人脸信息进行处理后与所述注册用户的身份信息绑定存储于所述注册数据库中。
  3. 如权利要求2所述的云桌面登陆验证方法，其中，所述注册人脸信息包含注册人脸图像，所述人脸验证服务器对所述注册人脸信息进行处理包括：
    所述人脸验证服务器对所述注册人脸图像进行关键点检测；
    根据检测到的关键点位置进行人脸对齐，排除人脸轮廓区域外的图像数据；
    从人脸轮廓区域进行人脸特征提取得到注册人脸特征。
  4. 如权利要求3所述的云桌面登陆验证方法，其中，所述关键点位置为眼部关键点位置；根据检测到的关键点位置做人脸对齐包括：
    利用检测到的眼部关键点的坐标计算双眼中心连接线与水平线之间的夹角；
    根据计算出来的夹角对注册人脸图像进行反向旋转，使双眼处于同一水平线上。
  5. 如权利要求3或4所述的云桌面登陆验证方法，其中，所述注册人脸信息包含N幅注册人脸图像，所述验证人脸信息包含验证人脸图像；所述云桌面控制系统将所述验证人脸信息与找到的注册人脸信息进行匹配包括：
    所述人脸验证服务器提取所述验证人脸图像的验证人脸特征；
    所述人脸验证服务器将所述验证人脸特征与各幅注册人脸图像对应的注册人脸特征进行匹配，判断得到的N个匹配值中是否存在大于等于匹配阈值的值，如存在，判定匹配通过。
  6. 如权利要求5所述的云桌面登陆验证方法，其中，所述人脸验证服务器将所述验证人脸特征与注册人脸特征进行匹配包括：
    计算所述验证人脸特征与所述注册人脸特征的相似度作为匹配值；所述匹配阈值为相似度阈值。
  7. 一种云桌面登陆验证方法，包括：
    客户端向云桌面控制系统发送注册用户的身份信息和注册人脸信息；
    客户端向所述云桌面控制系统发送登陆验证请求，所述登陆验证请求包含验证用户的身份信息和验证人脸信息；
    客户端接收所述云桌面控制系统对所述验证用户验证通过之后发送的云桌面信息供用户使用。
  8. 如权利要求7所述的云桌面登陆验证方法，其中，客户端向云桌面控制系统发送身份信息和注册人脸信息包括：
    客户端采集当前注册用户的N幅人脸图像作为注册人脸图像，所述N大于等于1；
    所述客户端将得到的N幅注册人脸图像和该注册用户的身份信息一起发给所述云桌面控制系统。
  9. 如权利要求7或8所述的云桌面登陆验证方法，其中，客户端向云桌面控制系统发送登陆验证请求包括：
    客户端采集当前验证用户的人脸图像作为验证人脸图像；
    所述客户端将得到的验证人脸图像和该验证用户的身份信息一起发给所述云桌面控制系统。
  10. 一种云桌面控制系统，包括：云桌面连接服务器、人脸验证服务器和注册数据库；
    云桌面连接服务器设置为获取注册用户的身份信息和注册人脸信息发给人脸验证服务器；以及设置为接收客户端发送的包含验证用户的身份信息和验证人脸信息的登陆验证请求；还设置为接收到验证通过消息时向所述验证用户提供云桌面信息；
    所述人脸验证服务器设置为将所述注册用户的身份信息和注册人脸信息存储于所述注册数据库中；以及设置为根据所述验证用户的身份信息在注册用户中找到对应的注册人脸信息，并将所述验证人脸信息与找到的注册人脸信息进行匹配，匹配通过时，向所述云桌面连接服务器发送验证通过消息。
  11. 如权利要求10所述的云桌面控制系统，其中，所述注册人脸信息包含注册人脸图像，所述人脸验证服务器根据所述注册用户的身份信息和注册人脸信息为该注册用户完成注册包括：
    所述人脸验证服务器对所述注册人脸图像进行关键点检测；
    根据检测到的关键点位置进行人脸对齐，删除人脸轮廓区域外的图像数据；
    从人脸轮廓区域进行人脸特征提取得到注册人脸特征；
    将得到的注册人脸特征与注册用户的身份信息绑定存储于所述注册数据库中。
  12. 如权利要求11所述的云桌面控制系统，其中，所述注册人脸信息包含N幅注册人脸图像，所述验证人脸信息包含验证人脸图像；所述人脸验证服务器将所述验证人脸信息 与找到的注册人脸信息进行匹配包括：
    所述人脸验证服务器提取所述验证人脸图像的验证人脸特征；
    所述人脸验证服务器将所述验证人脸特征与各幅注册人脸图像对应的注册人脸特征进行匹配，判断得到的N个匹配值中是否存在大于等于匹配阈值的值，如存在，判定匹配通过。
  13. 一种客户端，包括注册模块、验证模块以及云桌面处理模块；
    所述注册模块设置为向云桌面控制系统发送注册用户的身份信息和注册人脸信息；
    所述验证模块设置为向所述云桌面控制系统发送登陆验证请求，所述登陆验证请求包含验证用户的身份信息和验证人脸信息；
    所述云桌面处理模块设置为接收所述云桌面控制系统对所述验证用户验证通过之后发送的云桌面信息供用户使用。
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