CN113568934B - Data query method and device, electronic equipment and storage medium - Google Patents

Data query method and device, electronic equipment and storage medium Download PDF

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Publication number
CN113568934B
CN113568934B CN202110855841.0A CN202110855841A CN113568934B CN 113568934 B CN113568934 B CN 113568934B CN 202110855841 A CN202110855841 A CN 202110855841A CN 113568934 B CN113568934 B CN 113568934B
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China
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information
image
user
image frames
face
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CN202110855841.0A
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CN113568934A (en
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王晓澍
刘聃
蔡浩
李靖阳
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Ping An Bank Co Ltd
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Ping An Bank Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2455—Query execution
    • G06F16/24553—Query execution of query operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/604—Tools and structures for managing or administering access control systems
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The application relates to data processing and discloses a data query method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: responding to the triggering operation of the first button, and acquiring a face image of a user; when the identity information of the user is verified according to the face image, acquiring target archive information according to the identity information of the user; displaying first information and second information after fuzzy processing in the target archive information on an archive information display interface; responding to the triggering operation of the second button, and displaying a permission verification interface, wherein the permission verification interface comprises a permission verification input area; responding to the input operation of the authority verification input area, and acquiring information to be verified; and when the verification of the information to be verified is passed, performing the defuzzification operation on the second information after the fuzzy processing so as to display the second information on the archive information display interface. By implementing the embodiment of the application, the efficiency of file inquiry is improved.

Description

Data query method and device, electronic equipment and storage medium
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data query method, a data query device, an electronic device, and a storage medium.
Background
At present, many enterprises or institutions adopt intelligent filing cabinets to store important documents. It can be understood that the intelligent filing cabinet is a novel intelligent filing keeping device combining the radio frequency identification (radio frequency identification, RFID) technology with an intelligent filing management system, and achieves functions of file authority management, positioning management, intelligent access, intelligent checking, on-line monitoring and the like, and meanwhile, performs standardization, intellectualization and automatic management on file documents. However, if the user needs to review the archive, an offline review mode is still required. Therefore, the user needs to take time and effort to reach the archive management department for archive review. This archive review mode is inefficient.
Disclosure of Invention
The embodiment of the application provides a data query method, a data query device, electronic equipment and a storage medium, which improve the file query efficiency.
The first aspect of the present application provides a data query method, including:
displaying a file information inquiry interface, wherein the file information inquiry interface is displayed with a first button;
responding to the triggering operation of the first button, and acquiring a face image of a user;
when the identity information of the user is verified according to the face image, acquiring target archive information according to the identity information of the user;
Displaying first information and fuzzy second information in the target archive information on an archive information display interface, wherein the importance value of the first information is lower than that of the second information, and a second button is displayed on the archive information display interface;
responding to the triggering operation of the second button, displaying a right verification interface, wherein the right verification interface comprises right verification prompt information and a right verification input area, the right verification prompt information is used for indicating information to be verified to be input in the right verification input area, and the information to be verified is information to be verified when the user uses other application programs;
responding to the input operation of the authority verification input area, and acquiring the information to be verified;
and when the information to be verified passes verification, performing defuzzification operation on the second information subjected to the fuzzy processing so as to display the second information on the archive information display interface.
In a second aspect, the present application provides a data query device, the device comprising a display module and an acquisition module,
the display module is used for displaying a file information inquiry interface, and the file information inquiry interface is displayed with a first button;
The acquisition module is used for responding to the triggering operation of the first button and acquiring a face image of a user; when the identity information of the user is verified according to the face image, acquiring target archive information according to the identity information of the user;
the display module is used for displaying first information and fuzzy second information in the target archive information on an archive information display interface, wherein the importance value of the first information is lower than that of the second information, and the archive information display interface is provided with a second button; the right verification interface is displayed in response to the triggering operation of the second button, and comprises right verification prompt information and a right verification input area, wherein the right verification prompt information is used for indicating information to be verified to be input in the right verification input area, and the information to be verified is information to be verified when the user uses other application programs;
the acquisition module is used for responding to the input operation of the authority verification input area and acquiring the information to be verified;
and the display module is used for performing defuzzification operation on the second information after the fuzzy processing when the information to be verified passes verification, so as to display the second information on the archive information display interface.
A third aspect of the present application provides an electronic device for data querying, comprising a processor, a memory, a communication interface and one or more programs, wherein the one or more programs are stored in the memory and are generated for execution by the processor to perform the instructions of the steps of any of the methods for data querying.
A fourth aspect of the application provides a computer readable storage medium for storing a computer program for execution by the processor to implement a method of any one of the data querying methods.
According to the technical scheme, the archive information query interface can be displayed, the archive information query interface is provided with the first button, so that a face image of a user can be obtained in response to triggering operation of the user on the first button, when the identity information of the user passes through according to the face image, the target archive information is obtained according to the identity information of the user, further, first information in the target archive information and second information after fuzzy processing can be displayed on the archive information display interface, the importance value of the first information is lower than that of the second information, and therefore information with low importance is preferentially displayed and information with high importance is hidden when the identity information of the user passes through. The selective display and non-display according to the importance degree of the information are realized, so that the safety of the information is improved. Further, the archive information display interface displays a second button, so that when the user triggers the second button, the authority verification interface is displayed, the authority verification interface comprises authority verification prompt information and an authority verification input area, the authority verification prompt information is used for indicating information to be verified, which is to be input by the user, in the authority verification input area, the information to be verified is information to be verified when the user uses other application programs, and when the user inputs the authority verification input area, the information to be verified is acquired, so that when the information to be verified passes, fuzzy processing can be performed on the second information, so that the second information can be displayed on the archive information display interface, namely, the user can review information with high importance degree when the identity verification passes twice, the risk of information with high importance degree being leaked is avoided, and the safety of the information is improved. Meanwhile, the information to be verified is the information to be verified when the same user uses other application programs, so that the possibility of forging the verification information by other people is reduced, and the safety of the information is improved. In addition, remote inquiry of archive information is realized, and archive inquiry efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Wherein:
FIG. 1 is a schematic diagram of a data query system according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a data query method according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an archive information query interface according to an embodiment of the present application;
FIG. 4 is a flowchart of another data query method according to an embodiment of the present application;
fig. 5 is a schematic diagram of a data query device according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device in a hardware running environment according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The following will describe in detail.
The terms first and second in the description and claims of the application and in the above-mentioned figures are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Referring initially to fig. 1, fig. 1 is a schematic diagram of a data query system according to an embodiment of the present application, and a data query system 100 installed in a target archive cabinet may include a data query device 110. The data query device 110 is used for processing, storing target archive information, etc. The data query system 100 may include an integrated single device or multiple devices, and for convenience of description, the data query system 100 will be referred to as an electronic device. It will be apparent that the electronic device may include various handheld devices, in-vehicle devices, wearable devices, computing devices, or other processing devices connected to a wireless modem, as well as various forms of User Equipment (UE), mobile Station (MS), terminal devices (terminal devices), etc.
Referring to fig. 2, fig. 2 is a flow chart of a data query method according to an embodiment of the present application. The data query method can be applied to an electronic device, as shown in fig. 2, and includes:
201. and displaying a file information inquiry interface, wherein the file information inquiry interface is displayed with a first button.
Referring to fig. 3, fig. 3 is a schematic diagram of an archive information query interface according to an embodiment of the present application. As shown in fig. 3, it can be seen that a first button is displayed on the archive information query interface, and the user can click on the first button to call out the camera to obtain a face image of the user. It can be understood that in the present application, the archive information query interface also displays archive information query prompt information, where the archive information query prompt information is used to prompt the archive information query mode, for example, the archive information query prompt information is: the query archive information asks to click the lower button.
202. And responding to the triggering operation of the first button, and acquiring a face image of the user.
Optionally, step 202 may include: responding to the triggering operation of the first button, and acquiring video data comprising the face of the user; analyzing the video data to obtain a plurality of image frames; performing quality detection on each image frame in the plurality of image frames to obtain a quality detection result corresponding to each image frame; acquiring N image frames with quality detection results sequentially greater than or equal to N threshold values from the plurality of image frames at preset intervals, wherein N is an integer greater than 1; performing living body detection on faces included in each of the N image frames; the image frame through which the living body is detected is determined as a face image.
Optionally, performing quality detection on each image frame in the plurality of image frames to obtain a quality detection result corresponding to each image frame, including: and inputting each image frame in the plurality of image frames into a quality detection model to obtain a quality detection result corresponding to each image frame. The quality detection model may be trained using a neural network framework, for example.
The preset time may be set by an administrator or configured in a configuration file, which is not limited herein. The preset time may be, for example, 4 seconds or other time, and is not limited herein.
Alternatively, the difference between adjacent ones of the N thresholds may be different or the same, and is not limited herein. Wherein, the difference between adjacent threshold values in the N threshold values is different, which can be understood as: each of the N thresholds may represent an increment state, without limitation.
For example, the N thresholds may include a first threshold, a second threshold, and a third threshold, and a difference between the second threshold and the first threshold may be different from or the same as a difference between the third threshold and the second threshold. The difference between the second threshold and the first threshold being different from the difference between the third threshold and the second threshold can be understood as: the difference between the second threshold and the first threshold may be less than the difference between the third threshold and the second threshold.
According to the technical scheme, the video data comprising the face of the user is acquired by responding to the triggering operation of the first button by the user, so that the video data can be analyzed to obtain a plurality of image frames, further, quality detection is carried out on each image frame in the plurality of image frames to obtain a quality detection result corresponding to each image frame, N image frames with the quality detection result being sequentially greater than or equal to N threshold values are acquired from the plurality of image frames at intervals of preset time, the situation that living body detection is not passed due to the fact that the quality of the image frames is too poor is avoided, and the acquired image frames are continuous image frames. In addition, the living body detection is carried out on the human face included in each image frame in the N image frames, the image frames passing through the living body detection are determined to be the human face images, the human faces from non-living bodies are prevented from being present in the human face images, and the information safety is improved.
Optionally, the living body detection for the face included in each image frame in the N image frames includes: acquiring feature information corresponding to each image frame in the N image frames, and acquiring first feature information and second feature information, wherein the first feature information is fusion feature information of at least two types of feature information corresponding to a positive sample set, the second feature information is fusion feature information of at least two types of feature information corresponding to a negative sample set, a face image in the positive sample set comprises a living face, a face image in the negative sample set comprises a non-living face, and the at least two types of feature information comprise depth information of the face and optical flow information of the face; and detecting the living body of the characteristic information corresponding to each image frame in the N image frames according to the first characteristic information and the second characteristic information.
The face images in the positive sample set and the face images in the negative sample set are face images under different ambient light levels.
According to the technical scheme, the characteristic information corresponding to each image frame in the N image frames is obtained, and the first characteristic information and the second characteristic information are obtained, wherein the first characteristic information is fusion characteristic information of at least two types of characteristic information corresponding to a positive sample set, the second characteristic information is fusion characteristic information of at least two types of characteristic information corresponding to a negative sample set, the face image in the positive sample set comprises a living face, the face image in the negative sample set comprises a non-living face, and the at least two types of characteristic information comprise depth information of the face and optical flow information of the face, so that living body detection is carried out on the characteristic information corresponding to each image frame in the N image frames according to the first characteristic information and the second characteristic information, and the living body detection accuracy is improved.
Optionally, performing the living body detection on the feature information corresponding to each image frame in the N image frames according to the first feature information and the second feature information includes: determining the distance between the first characteristic information and the characteristic information corresponding to each of the N image frames; determining the distance between the second characteristic information and the characteristic information corresponding to each of the N image frames; performing living body detection on the feature information corresponding to each of the N image frames according to the difference value between the distance between the first feature information and the feature information corresponding to each of the N image frames and the preset first distance, and the difference value between the distance between the second feature information and the feature information corresponding to each of the N image frames and the preset second distance; wherein the preset first distance is different from the preset second distance.
Alternatively, the preset first distance may be smaller than the preset second distance.
Optionally, determining the distance between the first feature information and the feature information corresponding to each of the N image frames may include: determining the distance between the first characteristic information and the characteristic information corresponding to each image frame in the N image frames by adopting the Euclidean distance; the determining the distance between the second feature information and the feature information corresponding to each of the N image frames may include: and determining the distance between the second characteristic information and the characteristic information corresponding to each of the N image frames by adopting the Euclidean distance.
Optionally, the N image frames include a first image frame, and if a difference between a distance between the first feature information and feature information corresponding to the first image frame and a preset first distance is smaller than or equal to a difference between a distance between the second feature information and feature information corresponding to the first image frame and a preset second distance, the face in the first image frame is a living face; if the difference between the distance between the first feature information and the feature information corresponding to the first image frame and the preset first distance is larger than the difference between the distance between the second feature information and the feature information corresponding to the first image frame and the preset second distance, the face in the first image frame is a non-living face.
According to the technical scheme, the living body detection is carried out on the characteristic information corresponding to each image frame in the N image frames according to the difference value between the distance between the first characteristic information and the characteristic information corresponding to each image frame in the N image frames and the preset first distance, and the difference value between the distance between the second characteristic information and the characteristic information corresponding to each image frame in the N image frames and the preset second distance, so that the accuracy of the living body detection is improved.
203. And when the identity information of the user passes the verification according to the face image, acquiring target archive information according to the identity information of the user.
The target profile information may include one or more of the following: name, gender, age, birth month, contact, identification number, school status information, political face information, etc., without limitation.
Optionally, before acquiring the target profile information according to the identity information of the user, the method further includes: acquiring an image to be recorded, wherein the image to be recorded comprises file information to be recorded, and the file information to be recorded is recorded in the image to be recorded in a form of a table; carrying out recognition on an image to be input to obtain a plurality of mask images, wherein the mask images are in one-to-one correspondence with a plurality of preset segmentation categories, the preset segmentation categories comprise transverse lines, vertical lines and oblique lines, and each mask image is used for indicating the probability that each pixel point in the image to be input belongs to the preset segmentation category corresponding to each mask image; determining a target connected domain of each mask map according to each mask map, wherein the target connected domain is the probability of pixel point composition, which belongs to a preset segmentation category corresponding to each mask map, in each mask map, and the probability of pixel point composition is larger than a threshold value; determining target archive information according to the target connected domain of each mask map; storing the target archive information to a database; acquiring target archive information according to identity information of a user, including: and acquiring target archive information from the database according to the identity information of the user.
The image to be recorded can be obtained by shooting a paper file or performing PDF scanning on the paper file.
According to the technical scheme, the paper archive is electronized through the image to be recorded.
Optionally, determining the target archive information according to the target connected domain of each mask map includes: fitting the target connected domain in each mask map to obtain a horizontal line, a vertical line and oblique lines in the image to be recorded; drawing a horizontal line, a vertical line and oblique lines in the image to be recorded to obtain a plurality of cells in the image to be recorded; identifying pixel points in each cell to obtain a first type cell and a second type cell in the cells, wherein the content in the first type cell is text, and the content in the second type cell is an image; identifying the content in the first type of cells to obtain texts in the first type of cells; intercepting the content in the cells of the second type to obtain images in the cells of the second type; the target profile information is determined from the text in the first type of cell and the image in the second type of cell.
The identifying the content in the first type of cell to obtain the text in the first type of cell may include: identifying the content in the first type of cells by adopting an ORC technology to obtain texts in the first type of cells; intercepting the content in the second type of cell to obtain an image in the second type of cell may include: and intercepting the content in the cells of the second type by adopting the ROI technology to obtain the image in the cells of the second type.
According to the technical scheme, the paper file is electronized.
Optionally, storing the target archive information in a database includes: determining the file type of the target file information, the archiver information of the target file information and the historical query record according to the target file information; determining a heat value of the target archive information according to the archive type of the target archive information; acquiring historical business information of a archiver according to archiver information contained in the target archiver information; predicting the possibility that the target archive information is queried again according to the historical business information of the archiver and the historical query record of the target archive information, and obtaining the access frequency corresponding to the target archive information; and storing the target archive information into a database according to the access frequency corresponding to the target archive information.
The archives information refers to the affiliated person of the information recorded in the target archives information.
Optionally, determining, according to the target archive information, an archive type to which the target archive information belongs, archive person information of the target archive information, and a history query record includes: determining keywords contained in the target archive information and business information associated with the target archive information according to the archive information of the target archive information; determining archiver information and historical query records of the target archiver information according to keywords contained in the target archiver information; and determining the file type of the target file information according to the key words contained in the target file information and the service information associated with the target file information.
Optionally, predicting the possibility that the target archive information is queried again according to the historical business information of the archiver and the historical query record of the target archive information, to obtain the access frequency corresponding to the target archive information, including: determining the business handling progress of the business recently handled by the archiver according to the historical business information of the archiver; determining the total query times of the target archive information in the corresponding service according to the historical query record of the target archive information; and predicting the possibility that the target archive information is queried again according to the business handling progress corresponding to the target archive information and the total query times of the target archive information in the corresponding business, and obtaining the access frequency corresponding to the target archive information.
The access frequency corresponding to the target archive information can be expressed by the following formula:
wherein g represents the access frequency corresponding to the target archive information, and a represents the archive type to which the target archive information belongs; b represents the transacting progress of the recently transacted business of the archiver of the target archive information; f (f) a，b (i) Representation ofThe file of the type a again calls the number of events of the file under the condition of the progress b; f (f) a，b Representing the total number of events for a type a archive with progress b; h is a a Representing the total query times of the target archive information in the service; p is p a Representing the average query times of the a-type files in the service; k is a constant, in order to prevent f a，b For 0, a 1 is usually desirable.
Optionally, storing the target archive information to a database according to the access frequency corresponding to the target archive information, including: if the access frequency corresponding to the target archive information is higher than a threshold value, storing the target archive information into a first storage area of a database; and if the access frequency corresponding to the target archive information is smaller than or equal to the threshold value, compressing the target archive information and storing the target archive information into a second storage area of the database.
According to the technical scheme, the target archive information is stored in the database according to the access frequency corresponding to the target archive information, namely the archive information is stored in a distinguishing mode according to the access frequency.
Optionally, before the target profile information is obtained from the database according to the identity information of the user, the method further comprises: acquiring attribute information of a user according to the face image; filtering characteristic information included in the database according to attribute information of the user; and verifying the identity information of the user according to the feature information corresponding to the face image and the feature information included in the filtered database.
The attribute information of the user may include, for example, age, sex, etc., and is not limited herein.
According to the technical scheme, the attribute information of the user is obtained according to the face image, so that the characteristic information included in the database is filtered according to the attribute information of the user, the characteristic information different from the attribute information of the user in the database is filtered, and the retrieval efficiency of retrieving the characteristic information is improved. In addition, the identity information of the user is verified according to the feature information corresponding to the face image and the feature information included in the filtered database, so that the verification of the identity information of the user is realized.
204. And displaying first information in the target archive information and second information after fuzzy processing on an archive information display interface, wherein the importance value of the first information is lower than that of the second information, and a second button is displayed on the archive information display interface.
Wherein the first information may for example comprise one or more of the following: name, gender, age, year of birth, month, etc., without limitation.
Wherein the second information may comprise, for example, one or more of the following: contact information, identification card numbers, school information, political face information, etc., are not limited herein.
205. And responding to the triggering operation of the second button, displaying a permission verification interface, wherein the permission verification interface comprises permission verification prompt information and a permission verification input area, and the permission verification prompt information is used for indicating information to be verified to be input in the permission verification input area, and the information to be verified is information to be verified when a user uses other application programs.
The number of other applications may be one or more, and is not limited herein. The other application may be, for example, an application having a navigation function, an application having a specific instant messaging function, an application having a shopping function, or the like, and is not limited thereto.
The information to be verified may be, for example: the account numbers used to log in other applications, the identities of devices used to browse other applications, etc., are not limited in this regard.
206. And responding to the input operation of the authority verification input area, and acquiring information to be verified.
207. And when the verification of the information to be verified is passed, performing the defuzzification operation on the second information after the fuzzy processing so as to display the second information on the archive information display interface.
According to the technical scheme, the archive information query interface can be displayed, the archive information query interface is provided with the first button, so that a face image of a user can be obtained in response to triggering operation of the user on the first button, when the identity information of the user passes through according to the face image, the target archive information is obtained according to the identity information of the user, further, first information in the target archive information and second information after fuzzy processing can be displayed on the archive information display interface, the importance value of the first information is lower than that of the second information, and therefore information with low importance is preferentially displayed and information with high importance is hidden when the identity information of the user passes through. The selective display and non-display according to the importance degree of the information are realized, so that the safety of the information is improved. Further, the archive information display interface displays a second button, so that when the user triggers the second button, the authority verification interface is displayed, the authority verification interface comprises authority verification prompt information and an authority verification input area, the authority verification prompt information is used for indicating information to be verified, which is to be input by the user, in the authority verification input area, the information to be verified is information to be verified when the user uses other application programs, and when the user inputs the authority verification input area, the information to be verified is acquired, so that when the information to be verified passes, fuzzy processing can be performed on the second information, so that the second information can be displayed on the archive information display interface, namely, the user can review information with high importance degree when the identity verification passes twice, the risk of information with high importance degree being leaked is avoided, and the safety of the information is improved. Meanwhile, the information to be verified is the information to be verified when the same user uses other application programs, so that the possibility of forging the verification information by other people is reduced, and the safety of the information is improved. In addition, remote inquiry of archive information is realized, and archive inquiry efficiency is improved.
Referring to fig. 4, fig. 4 is a flowchart of another data query method according to an embodiment of the present application. The data query method can be applied to an electronic device, as shown in fig. 4, and includes:
401. and displaying a file information inquiry interface, wherein the file information inquiry interface is displayed with a first button.
Step 401 may refer to step 201 in fig. 2, and is not described herein.
402. In response to a trigger operation of the first button, video data including a face of a user is acquired.
403. And analyzing the video data to obtain a plurality of image frames.
404. And carrying out quality detection on each image frame in the plurality of image frames to obtain a quality detection result corresponding to each image frame.
Optionally, performing quality detection on each image frame in the plurality of image frames to obtain a quality detection result corresponding to each image frame, including: and inputting each image frame in the plurality of image frames into a quality detection model to obtain a quality detection result corresponding to each image frame. The quality detection model may be trained using a neural network framework, for example.
405. N image frames with quality detection results sequentially larger than or equal to N threshold values are obtained from the plurality of image frames at preset intervals, wherein N is an integer larger than 1.
The preset time may be set by an administrator or configured in a configuration file, which is not limited herein. The preset time may be, for example, 4 seconds or other time, and is not limited herein.
Alternatively, the difference between adjacent ones of the N thresholds may be different or the same, and is not limited herein. Wherein, the difference between adjacent threshold values in the N threshold values is different, which can be understood as: each of the N thresholds may represent an increment state, without limitation.
For example, the N thresholds may include a first threshold, a second threshold, and a third threshold, and a difference between the second threshold and the first threshold may be different from or the same as a difference between the third threshold and the second threshold. The difference between the second threshold and the first threshold being different from the difference between the third threshold and the second threshold can be understood as: the difference between the second threshold and the first threshold may be less than the difference between the third threshold and the second threshold.
406. And performing living body detection on the human face included in each of the N image frames.
Optionally, the living body detection for the face included in each image frame in the N image frames includes: acquiring feature information corresponding to each image frame in the N image frames, and acquiring first feature information and second feature information, wherein the first feature information is fusion feature information of at least two types of feature information corresponding to a positive sample set, the second feature information is fusion feature information of at least two types of feature information corresponding to a negative sample set, a face image in the positive sample set comprises a living face, a face image in the negative sample set comprises a non-living face, and the at least two types of feature information comprise depth information of the face and optical flow information of the face; and detecting the living body of the characteristic information corresponding to each image frame in the N image frames according to the first characteristic information and the second characteristic information.
The face images in the positive sample set and the face images in the negative sample set are face images under different ambient light levels.
According to the technical scheme, the characteristic information corresponding to each image frame in the N image frames is obtained, and the first characteristic information and the second characteristic information are obtained, wherein the first characteristic information is fusion characteristic information of at least two types of characteristic information corresponding to a positive sample set, the second characteristic information is fusion characteristic information of at least two types of characteristic information corresponding to a negative sample set, the face image in the positive sample set comprises a living face, the face image in the negative sample set comprises a non-living face, and the at least two types of characteristic information comprise depth information of the face and optical flow information of the face, so that living body detection is carried out on the characteristic information corresponding to each image frame in the N image frames according to the first characteristic information and the second characteristic information, and the living body detection accuracy is improved.
Optionally, performing the living body detection on the feature information corresponding to each image frame in the N image frames according to the first feature information and the second feature information includes: determining the distance between the first characteristic information and the characteristic information corresponding to each of the N image frames; determining the distance between the second characteristic information and the characteristic information corresponding to each of the N image frames; performing living body detection on the feature information corresponding to each of the N image frames according to the difference value between the distance between the first feature information and the feature information corresponding to each of the N image frames and the preset first distance, and the difference value between the distance between the second feature information and the feature information corresponding to each of the N image frames and the preset second distance; wherein the preset first distance is different from the preset second distance.
Alternatively, the preset first distance may be smaller than the preset second distance.
Optionally, determining the distance between the first feature information and the feature information corresponding to each of the N image frames may include: determining the distance between the first characteristic information and the characteristic information corresponding to each image frame in the N image frames by adopting the Euclidean distance; the determining the distance between the second feature information and the feature information corresponding to each of the N image frames may include: and determining the distance between the second characteristic information and the characteristic information corresponding to each of the N image frames by adopting the Euclidean distance.
Optionally, the N image frames include a first image frame, and if a difference between a distance between the first feature information and feature information corresponding to the first image frame and a preset first distance is smaller than or equal to a difference between a distance between the second feature information and feature information corresponding to the first image frame and a preset second distance, the face in the first image frame is a living face; if the difference between the distance between the first feature information and the feature information corresponding to the first image frame and the preset first distance is larger than the difference between the distance between the second feature information and the feature information corresponding to the first image frame and the preset second distance, the face in the first image frame is a non-living face.
According to the technical scheme, the living body detection is carried out on the characteristic information corresponding to each image frame in the N image frames according to the difference value between the distance between the first characteristic information and the characteristic information corresponding to each image frame in the N image frames and the preset first distance, and the difference value between the distance between the second characteristic information and the characteristic information corresponding to each image frame in the N image frames and the preset second distance, so that the accuracy of the living body detection is improved.
407. The image frame through which the living body is detected is determined as a face image.
408. And when the identity information of the user passes the verification according to the face image, acquiring target archive information according to the identity information of the user.
Step 408 may refer to step 203 of fig. 2, and is not described herein.
409. And displaying first information and fuzzy second information in the target archive information on an archive information display interface, wherein the importance value of the first information is lower than that of the second information, and the archive information display interface is displayed with a second button.
Step 409 may refer to step 204 of fig. 2, and is not described herein.
410. And responding to the triggering operation of the second button, displaying a permission verification interface, wherein the permission verification interface comprises permission verification prompt information and a permission verification input area, and the permission verification prompt information is used for indicating information to be verified to be input in the permission verification input area, and the information to be verified is information to be verified when a user uses other application programs.
Step 410 may refer to step 205 in fig. 2, and is not described herein.
411. And responding to the input operation of the authority verification input area, and acquiring information to be verified.
Step 411 may refer to step 206 of fig. 2, and is not described herein.
412. And when the verification of the information to be verified is passed, performing the defuzzification operation on the second information after the fuzzy processing so as to display the second information on the archive information display interface.
Step 412 may refer to step 207 of fig. 2, and is not described herein.
According to the technical scheme, the situation that living body detection is not passed due to poor quality of the image frames is avoided, and the acquired image frames are continuous image frames. In addition, the human face included in each image frame in the N image frames is subjected to living body detection, the image frame passing through living body detection is determined to be a human face image, the human face from a non-living body is prevented from being present in the human face image, the information safety is improved, and the information with low importance degree and the information with high importance degree are displayed preferentially when the identity information of the user passes through verification are realized. The selective display and non-display according to the importance degree of the information are realized, so that the safety of the information is improved. Further, when the information to be verified passes verification, the fuzzy operation can be performed on the second information after fuzzy processing so as to display the second information on the archive information display interface, namely, the user can review the information with high importance degree when the authentication passes twice, so that the risk of leakage of the information with high importance degree is avoided, and the safety of the information is improved. Meanwhile, the information to be verified is the information to be verified when the same user uses other application programs, so that the possibility of forging the verification information by other people is reduced, and the safety of the information is improved. In addition, remote inquiry of archive information is realized, and archive inquiry efficiency is improved.
Referring to fig. 5, fig. 5 is a schematic diagram of a data query device according to an embodiment of the present application. As shown in fig. 5, a data query device 500 provided in an embodiment of the present application includes a display module 501 and an acquisition module 502,
the display module 501 is configured to display a file information query interface, where the file information query interface displays a first button;
an acquiring module 502, configured to acquire a face image of a user in response to a triggering operation of a first button; when the identity information of the user is verified according to the face image, acquiring target archive information according to the identity information of the user;
the display module 501 is configured to display, on a archive information display interface, first information in the target archive information and second information after fuzzy processing, where an importance value of the first information is lower than an importance value of the second information, and the archive information display interface displays a second button; the right verification interface is displayed in response to the triggering operation of the second button, and comprises right verification prompt information and a right verification input area, wherein the right verification prompt information is used for indicating information to be verified to be input in the right verification input area, and the information to be verified is information to be verified when a user uses other application programs;
An obtaining module 502, configured to obtain information to be verified in response to an input operation to the permission verification input area;
and the display module 501 is configured to perform a disambiguation operation on the second information after the fuzzy processing when the verification of the information to be verified is passed, so as to display the second information on the archive information display interface.
Optionally, when acquiring a face image of the user in response to a triggering operation on the first button, an acquiring module 502 is configured to acquire video data including the face of the user in response to the triggering operation on the first button; analyzing the video data to obtain a plurality of image frames; performing quality detection on each image frame in the plurality of image frames to obtain a quality detection result corresponding to each image frame; acquiring N image frames with quality detection results sequentially greater than or equal to N threshold values from the plurality of image frames at preset intervals, wherein N is an integer greater than 1; performing living body detection on faces included in each of the N image frames; the image frame through which the living body is detected is determined as a face image.
Optionally, when the face included in each of the N image frames performs living detection, an obtaining module 502 is configured to obtain feature information corresponding to each of the N image frames, and obtain first feature information and second feature information, where the first feature information is fusion feature information of at least two types of feature information corresponding to a positive sample set, the second feature information is fusion feature information of at least two types of feature information corresponding to a negative sample set, a face image in the positive sample set includes a living face, a face image in the negative sample set includes a non-living face, and the at least two types of feature information include depth information of the face and optical flow information of the face; and detecting the living body of the characteristic information corresponding to each image frame in the N image frames according to the first characteristic information and the second characteristic information.
Optionally, when the feature information corresponding to each of the N image frames is detected in vivo according to the first feature information and the second feature information, the obtaining module 502 is configured to determine a distance between the first feature information and the feature information corresponding to each of the N image frames; determining the distance between the second characteristic information and the characteristic information corresponding to each of the N image frames; performing living body detection on the feature information corresponding to each of the N image frames according to the difference value between the distance between the first feature information and the feature information corresponding to each of the N image frames and the preset first distance, and the difference value between the distance between the second feature information and the feature information corresponding to each of the N image frames and the preset second distance; wherein the preset first distance is different from the preset second distance.
Optionally, when acquiring the target archive information according to the identity information of the user, the acquiring module 502 is configured to acquire an image to be recorded, where the image to be recorded includes archive information to be recorded, and the archive information to be recorded is recorded in the image to be recorded in a form of a table; carrying out recognition on an image to be input to obtain a plurality of mask images, wherein the mask images are in one-to-one correspondence with a plurality of preset segmentation categories, the preset segmentation categories comprise transverse lines, vertical lines and oblique lines, and each mask image is used for indicating the probability that each pixel point in the image to be input belongs to the preset segmentation category corresponding to each mask image; determining a target connected domain of each mask map according to each mask map, wherein the target connected domain is the probability of pixel point composition, which belongs to a preset segmentation category corresponding to each mask map, in each mask map, and the probability of pixel point composition is larger than a threshold value; determining target archive information according to the target connected domain of each mask map; storing the target archive information to a database; acquiring target archive information according to identity information of a user, including: and acquiring target archive information from the database according to the identity information of the user.
Optionally, when determining the target archive information according to the target connected domain of each mask map, the obtaining module 502 is configured to fit the target connected domain in each mask map to obtain a horizontal line, a vertical line and an oblique line in the image to be recorded; drawing a horizontal line, a vertical line and oblique lines in the image to be recorded to obtain a plurality of cells in the image to be recorded; identifying pixel points in each cell to obtain a first type cell and a second type cell in the cells, wherein the content in the first type cell is text, and the content in the second type cell is an image; identifying the content in the first type of cells to obtain texts in the first type of cells; intercepting the content in the cells of the second type to obtain images in the cells of the second type; the target profile information is determined from the text in the first type of cell and the image in the second type of cell.
Optionally, when acquiring the target archive information from the database according to the identity information of the user, the acquiring module 502 is configured to acquire attribute information of the user according to the face image; filtering characteristic information included in the database according to attribute information of the user; and verifying the identity information of the user according to the feature information corresponding to the face image and the feature information included in the filtered database.
Referring to fig. 6, fig. 6 is a schematic diagram of an electronic device structure of a hardware running environment according to an embodiment of the present application.
The embodiment of the application provides an electronic device for data query, which comprises a processor, a memory, a communication interface and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the processor to execute instructions comprising the steps in any data query method. As shown in fig. 6, an electronic device of a hardware running environment according to an embodiment of the present application may include:
a processor 601, such as a CPU.
The memory 602 may alternatively be a high-speed RAM memory or a stable memory, such as a disk memory.
A communication interface 603 for enabling a connection communication between the processor 601 and the memory 602.
It will be appreciated by those skilled in the art that the configuration of the electronic device shown in fig. 6 is not limiting and may include more or fewer components than shown, or certain components may be combined, or a different arrangement of components.
As shown in fig. 6, memory 602 may include an operating system, a network communication module, and one or more programs. An operating system is a program that manages and controls server hardware and software resources, supporting the execution of one or more programs. The network communication module is used to enable communication between components within the memory 602 and with other hardware and software within the electronic device.
In the electronic device shown in fig. 6, the processor 601 is configured to execute one or more programs in the memory 602, and implement the following steps:
displaying a file information inquiry interface, wherein the file information inquiry interface is displayed with a first button;
responding to the triggering operation of the first button, and acquiring a face image of a user;
when the identity information of the user is verified according to the face image, acquiring target archive information according to the identity information of the user;
displaying first information and fuzzy second information in the target archive information on an archive information display interface, wherein the importance value of the first information is lower than that of the second information, and a second button is displayed on the archive information display interface;
responding to the triggering operation of the second button, displaying a permission verification interface, wherein the permission verification interface comprises permission verification prompt information and a permission verification input area, and the permission verification prompt information is used for indicating information to be verified to be input in the permission verification input area, and the information to be verified is information to be verified when a user uses other application programs;
responding to the input operation of the authority verification input area, and acquiring information to be verified;
and when the verification of the information to be verified is passed, performing the defuzzification operation on the second information after the fuzzy processing so as to display the second information on the archive information display interface.
The specific implementation of the electronic device according to the present application may refer to each embodiment of the data query method, which is not described herein.
The present application also provides a computer readable storage medium for storing a computer program, the stored computer program being executed by a processor to implement the steps of:
displaying a file information inquiry interface, wherein the file information inquiry interface is displayed with a first button;
responding to the triggering operation of the first button, and acquiring a face image of a user;
when the identity information of the user is verified according to the face image, acquiring target archive information according to the identity information of the user;
displaying first information and fuzzy second information in the target archive information on an archive information display interface, wherein the importance value of the first information is lower than that of the second information, and a second button is displayed on the archive information display interface;
responding to the triggering operation of the second button, displaying a permission verification interface, wherein the permission verification interface comprises permission verification prompt information and a permission verification input area, and the permission verification prompt information is used for indicating information to be verified to be input in the permission verification input area, and the information to be verified is information to be verified when a user uses other application programs;
Responding to the input operation of the authority verification input area, and acquiring information to be verified;
and when the verification of the information to be verified is passed, performing the defuzzification operation on the second information after the fuzzy processing so as to display the second information on the archive information display interface.
The specific implementation of the computer readable storage medium according to the present application can be found in the embodiments of the data query method described above, and will not be described herein.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of action described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application.

Claims (6)

1. A method of querying data, comprising:
displaying a file information inquiry interface, wherein the file information inquiry interface is displayed with a first button;
responding to the triggering operation of the first button, and acquiring a face image of a user;
when the identity information of the user is verified according to the face image, acquiring target archive information according to the identity information of the user;
displaying first information and fuzzy second information in the target archive information on an archive information display interface, wherein the importance value of the first information is lower than that of the second information, and a second button is displayed on the archive information display interface;
responding to the triggering operation of the second button, displaying a right verification interface, wherein the right verification interface comprises right verification prompt information and a right verification input area, the right verification prompt information is used for indicating information to be verified to be input in the right verification input area, and the information to be verified is information to be verified when the user uses other application programs;
responding to the input operation of the authority verification input area, and acquiring the information to be verified;
When the information to be verified passes verification, performing defuzzification operation on the second information subjected to the fuzzy processing so as to display the second information on the archive information display interface;
the responding to the triggering operation of the first button obtains the face image of the user, and the method comprises the following steps:
responding to the triggering operation of the first button, and acquiring video data comprising the face of the user;
analyzing the video data to obtain a plurality of image frames;
performing quality detection on each image frame in the plurality of image frames to obtain a quality detection result corresponding to each image frame;
acquiring N image frames with quality detection results sequentially greater than or equal to N threshold values from the plurality of image frames at preset time intervals, wherein N is an integer greater than 1;
performing living body detection on faces included in each of the N image frames;
determining the image frame through which the living body is detected as the face image;
the performing living body detection on the face included in each image frame in the N image frames includes:
acquiring feature information corresponding to each image frame in the N image frames, and acquiring first feature information and second feature information, wherein the first feature information is fusion feature information of at least two types of feature information corresponding to a positive sample set, the second feature information is fusion feature information of at least two types of feature information corresponding to a negative sample set, a face image in the positive sample set comprises a living face, a face image in the negative sample set comprises a non-living face, and the at least two types of feature information comprise depth information of the face and optical flow information of the face;
Performing living body detection on the characteristic information corresponding to each of the N image frames according to the first characteristic information and the second characteristic information;
the performing living body detection on the feature information corresponding to each image frame in the N image frames according to the first feature information and the second feature information includes:
determining the distance between the first characteristic information and the characteristic information corresponding to each of the N image frames;
determining the distance between the second characteristic information and the characteristic information corresponding to each of the N image frames;
performing living body detection on the feature information corresponding to each of the N image frames according to a difference value between the distance between the first feature information and the feature information corresponding to each of the N image frames and a preset first distance, and a difference value between the distance between the second feature information and the feature information corresponding to each of the N image frames and a preset second distance;
wherein the preset first distance is different from the preset second distance;
before the target profile information is obtained according to the identity information of the user, the method further comprises:
Acquiring an image to be recorded, wherein the image to be recorded comprises file information to be recorded, and the file information to be recorded is recorded in the image to be recorded in a form of a table;
identifying the image to be input, performing semantic segmentation to obtain a plurality of mask graphs, wherein the mask graphs are in one-to-one correspondence with a plurality of preset segmentation categories, the preset segmentation categories comprise transverse lines, vertical lines and oblique lines, and each mask graph is used for indicating the probability that each pixel point in the image to be input belongs to the preset segmentation category corresponding to each mask graph;
determining a target connected domain of each mask graph according to each mask graph, wherein the target connected domain is the probability of pixel point composition, which belongs to a preset segmentation category corresponding to each mask graph, in each mask graph, and the probability of the pixel point composition is larger than a threshold value;
determining target archive information according to the target connected domain of each mask map;
storing the target archive information into a database;
the obtaining the target archive information according to the identity information of the user comprises the following steps:
and acquiring the target archive information from the database according to the identity information of the user.
2. The method according to claim 1, wherein determining the target profile information according to the target connected domain of each mask map comprises:
fitting the target connected domain in each mask map to obtain a horizontal line, a vertical line and oblique lines in the image to be recorded;
drawing a horizontal line, a vertical line and oblique lines in the image to be recorded to obtain a plurality of cells in the image to be recorded;
identifying pixel points in each cell to obtain a first type cell and a second type cell in the cells, wherein the content in the first type cell is text, and the content in the second type cell is an image;
identifying the content in the first type of cells to obtain texts in the first type of cells;
intercepting the content in the second type of cells to obtain images in the second type of cells;
and determining the target archive information according to the text in the first type of cells and the image in the second type of cells.
3. The method of claim 2, wherein prior to said obtaining said target profile information from said database based on said user's identity information, said method further comprises:
Acquiring attribute information of the user according to the face image;
filtering the characteristic information included in the database according to the attribute information of the user;
and verifying the identity information of the user according to the feature information corresponding to the face image and the feature information included in the filtered database.
4. A data query device is characterized in that the device comprises a display module and an acquisition module,
the display module is used for displaying a file information inquiry interface, and the file information inquiry interface is provided with a first button;
the acquisition module is used for responding to the triggering operation of the first button and acquiring a face image of a user; when the identity information of the user is verified according to the face image, acquiring target archive information according to the identity information of the user;
the display module is used for displaying first information and fuzzy second information in the target archive information on an archive information display interface, the importance value of the first information is lower than that of the second information, and the archive information display interface is provided with a second button for deblurring the fuzzy second information; the right verification interface is displayed in response to the triggering operation of the second button, and comprises right verification prompt information and a right verification input area, wherein the right verification prompt information is used for indicating information to be verified to be input in the right verification input area, and the information to be verified is information to be verified when the user uses other application programs;
The acquisition module is used for responding to the input operation of the authority verification input area and acquiring the information to be verified;
the display module is used for performing defuzzification operation on the second information after the fuzzy processing when the information to be verified passes verification, so as to display the second information on the archive information display interface;
when a face image of a user is acquired in response to a triggering operation of a first button, the acquisition module is configured to:
responding to the triggering operation of the first button, and acquiring video data comprising the face of the user;
analyzing the video data to obtain a plurality of image frames;
performing quality detection on each image frame in the plurality of image frames to obtain a quality detection result corresponding to each image frame;
acquiring N image frames with quality detection results sequentially greater than or equal to N threshold values from the plurality of image frames at preset time intervals, wherein N is an integer greater than 1;
performing living body detection on faces included in each of the N image frames;
determining the image frame through which the living body is detected as the face image;
when the face included in each of the N image frames is detected in vivo, the acquiring module is configured to:
Acquiring feature information corresponding to each image frame in the N image frames, and acquiring first feature information and second feature information, wherein the first feature information is fusion feature information of at least two types of feature information corresponding to a positive sample set, the second feature information is fusion feature information of at least two types of feature information corresponding to a negative sample set, a face image in the positive sample set comprises a living face, a face image in the negative sample set comprises a non-living face, and the at least two types of feature information comprise depth information of the face and optical flow information of the face;
performing living body detection on the characteristic information corresponding to each of the N image frames according to the first characteristic information and the second characteristic information;
the performing living body detection on the feature information corresponding to each image frame in the N image frames according to the first feature information and the second feature information includes:
determining the distance between the first characteristic information and the characteristic information corresponding to each of the N image frames;
determining the distance between the second characteristic information and the characteristic information corresponding to each of the N image frames;
Performing living body detection on the feature information corresponding to each of the N image frames according to a difference value between the distance between the first feature information and the feature information corresponding to each of the N image frames and a preset first distance, and a difference value between the distance between the second feature information and the feature information corresponding to each of the N image frames and a preset second distance;
wherein the preset first distance is different from the preset second distance;
before the target profile information is obtained according to the identity information of the user, the obtaining module is further configured to:
acquiring an image to be recorded, wherein the image to be recorded comprises file information to be recorded, and the file information to be recorded is recorded in the image to be recorded in a form of a table;
identifying the image to be input, performing semantic segmentation to obtain a plurality of mask graphs, wherein the mask graphs are in one-to-one correspondence with a plurality of preset segmentation categories, the preset segmentation categories comprise transverse lines, vertical lines and oblique lines, and each mask graph is used for indicating the probability that each pixel point in the image to be input belongs to the preset segmentation category corresponding to each mask graph;
Determining a target connected domain of each mask graph according to each mask graph, wherein the target connected domain is the probability of pixel point composition, which belongs to a preset segmentation category corresponding to each mask graph, in each mask graph, and the probability of the pixel point composition is larger than a threshold value;
determining target archive information according to the target connected domain of each mask map;
storing the target archive information into a database;
the obtaining the target archive information according to the identity information of the user comprises the following steps:
and acquiring the target archive information from the database according to the identity information of the user.
5. An electronic device for data querying, comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and are generated for execution by the processor to perform the instructions of the steps of the method of any of claims 1-3.
6. A computer readable storage medium for storing a computer program, the stored computer program being executed by a processor to implement the method of any one of claims 1-3.
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