CN109918572B - Application software priority setting method and system, and computer readable storage medium - Google Patents
Application software priority setting method and system, and computer readable storage medium Download PDFInfo
- Publication number
- CN109918572B CN109918572B CN201910209152.5A CN201910209152A CN109918572B CN 109918572 B CN109918572 B CN 109918572B CN 201910209152 A CN201910209152 A CN 201910209152A CN 109918572 B CN109918572 B CN 109918572B
- Authority
- CN
- China
- Prior art keywords
- application software
- face image
- server
- user
- standard
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Telephone Function (AREA)
- Collating Specific Patterns (AREA)
Abstract
The invention provides a method and a system for setting priority of application software and a computer readable storage medium, wherein the method comprises the following steps: the method comprises the steps that a server receives a request for viewing application software sent by a mobile terminal, wherein the request comprises a user account and a user face image; the server matches the user account with a standard user account prestored in a database, and if the matching is successful, the server matches and identifies the user face image and a standard face image corresponding to the standard user account; if the identification is successful, the server acquires the corresponding application software from the application store according to the pre-stored application software priority setting information corresponding to the standard user account, and correspondingly sorts the acquired application software, so that the interface of the application store displays the sorted acquired application software.
Description
Technical Field
The invention relates to the technical field of terminals, in particular to a method and a system for setting priority of application software and a computer readable storage medium.
Background
With the increasing of application software, the quality of the application software becomes good and uneven, and low-quality contents such as advertisements and unhealthy contents exist in part of the application software during the running process, so that users are easily tempted by bad application software on an application store when the users are young groups. Therefore, it is necessary to process application software on the application store.
Disclosure of Invention
In view of the above problems, the present invention provides a method and a system for setting priority of application software, and a computer-readable storage medium.
The purpose of the invention is realized by adopting the following technical scheme:
the invention provides a method for setting priority of application software in a first aspect, which comprises the following steps:
the method comprises the steps that a server receives a request for viewing application software sent by a mobile terminal, wherein the request comprises a user account and a user face image;
the server matches the user account with a standard user account prestored in a database, and if the matching is successful, the server matches and identifies the user face image and a standard face image corresponding to the standard user account;
if the identification is successful, the server acquires the corresponding application software from the application store according to the pre-stored application software priority setting information corresponding to the standard user account, and correspondingly sorts the acquired application software, so that the interface of the application store displays the sorted acquired application software.
According to the method and the device, different application software priority setting information is set for different users, so that when different users look up the application software, appropriate application software is obtained in a targeted mode and displayed in a sequencing mode, the user is helped to be prevented from being tempted by bad or inapplicable application software on an application store, and the application software is processed.
The application software priority setting information is preset by a user or a supervisor thereof according to requirements, and comprises names or keywords of application software which can be displayed, and priority sequences set according to the names or the keywords.
The user account is preset by the user or a supervisor thereof according to the preference of the user, and can be a favorite name or number, and the like.
The sent face image and the pre-stored standard face image can be matched and identified by adopting the existing image matching method. The image matching identification method is not limited in this embodiment.
According to the method for setting the priority of the application software provided by the first aspect of the present invention, after the matching and recognition of the user facial image and the standard facial image corresponding to the standard user account are performed, the method further includes:
the server receives keywords which are input by the mobile terminal on an interface of an application store and used for searching application software;
and the server matches the keywords with standard keywords corresponding to a pre-stored standard identity account, and if the matching is unsuccessful, the server sends prompt information for prompting that the searched content is unhealthy to the mobile terminal.
If the keywords are successfully matched with the standard keywords corresponding to the pre-stored standard identity account, the server acquires the application software corresponding to the keywords from the application store and controls an interface of the application store to display the application software corresponding to the keywords.
According to the embodiment, aiming at different users, the types of the application software searched by the users are limited through the pre-stored standard keywords corresponding to the standard identity account, and the users can be further prevented from being tempted by bad or inapplicable application software on an application store.
According to the method for setting the priority of the application software provided by the first aspect of the present invention, after the matching and recognition of the user facial image and the standard facial image corresponding to the standard user account are performed, the method further includes:
the server receives a request for changing the priority setting information of the application software sent by the mobile terminal, wherein the request comprises a password;
the server verifies the changed password and provides an interface for changing the priority setting information of the application software to the mobile terminal after the verification is successful;
and the server stores the new application software priority setting information input by the mobile terminal through the interface for changing the application software priority setting information.
The embodiment realizes the updating of the priority setting information of the application software, accepts the information changed by the user only after the verification of the changed password is successful, improves the security of the priority setting of the application software, and avoids other users from changing the priority setting information of the application software without permission.
The second aspect of the invention provides an application software priority setting system, which comprises a server and a mobile terminal which are connected in a communication mode, wherein the server and the mobile terminal are used for executing the application software priority setting method.
A third aspect of the invention provides a computer readable storage medium comprising an application software prioritization program which, when executed by a processor, implements the steps of an application software prioritization method as described above.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a flowchart illustrating a method for setting application software priorities in accordance with an exemplary embodiment of the present invention;
fig. 2 is a schematic structural connection diagram of an application software prioritization system according to an exemplary embodiment of the present invention.
Reference numerals:
server 1, mobile terminal 2.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, an embodiment of the first aspect of the present invention provides an application software priority setting method, where the method includes:
s01 the server receives a request for viewing application software sent by the mobile terminal, wherein the request comprises a user account and a user face image;
s02, the server matches the user account with a standard user account pre-stored in a database, and if the matching is successful, the server matches and identifies the user face image and a standard face image corresponding to the standard user account;
and S03, if the identification is successful, the server acquires the corresponding application software from the application store according to the pre-stored application software priority setting information corresponding to the standard user account, and correspondingly sorts the acquired application software, so that the interface of the application store displays the sorted acquired application software.
According to the method and the device, different application software priority setting information is set for different users, so that when different users look up the application software, appropriate application software is obtained in a targeted mode and displayed in a sequencing mode, the user is helped to be prevented from being tempted by bad or inapplicable application software on an application store, and the application software is processed.
The application software priority setting information is preset by a user or a supervisor thereof according to requirements, and comprises names or keywords of application software which can be displayed, and priority sequences set according to the names or the keywords.
The user account is preset by the user or a supervisor thereof according to the preference of the user, and can be a favorite name or number, and the like.
The sent face image and the pre-stored standard face image can be matched and identified by adopting the existing image matching method. The image matching identification method is not limited in this embodiment.
According to the method for setting the priority of the application software provided by the first aspect of the present invention, after the matching and recognition of the user facial image and the standard facial image corresponding to the standard user account are performed, the method further includes:
the server receives keywords which are input by the mobile terminal on an interface of an application store and used for searching application software;
and the server matches the keywords with standard keywords corresponding to a pre-stored standard identity account, and if the matching is unsuccessful, the server sends prompt information for prompting that the searched content is unhealthy to the mobile terminal.
If the keywords are successfully matched with the standard keywords corresponding to the pre-stored standard identity account, the server acquires the application software corresponding to the keywords from the application store and controls an interface of the application store to display the application software corresponding to the keywords.
According to the embodiment, aiming at different users, the types of the application software searched by the users are limited through the pre-stored standard keywords corresponding to the standard identity account, and the users can be further prevented from being tempted by bad or inapplicable application software on an application store.
According to the method for setting the priority of the application software provided by the first aspect of the present invention, after the matching and recognition of the user facial image and the standard facial image corresponding to the standard user account are performed, the method further includes:
the server receives a request for changing the priority setting information of the application software sent by the mobile terminal, wherein the request comprises a password;
the server verifies the changed password and provides an interface for changing the priority setting information of the application software to the mobile terminal after the verification is successful;
and the server stores the new application software priority setting information input by the mobile terminal through the interface for changing the application software priority setting information.
The embodiment realizes the updating of the priority setting information of the application software, accepts the information changed by the user only after the verification of the changed password is successful, improves the security of the priority setting of the application software, and avoids other users from changing the priority setting information of the application software without permission.
As shown in fig. 2, a second aspect of the present invention provides an application software priority setting system, which comprises a server 1 and a mobile terminal 2 which are connected in communication, wherein the server 1 and the mobile terminal 2 are used for executing the application software priority setting method.
A third aspect of the invention provides a computer readable storage medium comprising an application software prioritization program which, when executed by a processor, implements the steps of an application software prioritization method as described above.
In an implementation manner, before the server performs matching recognition on the user facial image and a standard facial image corresponding to the standard user account, the method further includes:
dividing the user face image into a plurality of sub-images, detecting the number of noise points of each sub-image, and evaluating the quality of the user face image according to the number of the noise points;
if the quality of the user face image does not meet a first quality requirement, sending prompt information for prompting to reacquire the user face image to the mobile terminal;
and if the quality of the user face image does not meet a second quality requirement, the server carries out filtering processing on the user face image.
In one embodiment, the quality evaluation of the user face image according to the number of noise points includes:
calculating the quality value of the user face image according to the number of the noise points:
wherein X represents the quality value of the user face image, C (Delta) is the total noise point number of the user face image, CTIs a preset upper limit of the number of noise points,
is a first judgment value function when
When the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
nΔthe number of sub-images of the user face image,
a value function for the second determination when
When the temperature of the water is higher than the set temperature,
if not, then,
c (max) is the number of noise points in the sub-image with the largest number of noise points in each sub-image, Cy(max) is the number of noise points of the y-th sub-image adjacent to the sub-image having the largest number of noise points, nma1Number of sub-images adjacent to sub-image having the largest number of noise points, CtIs a preset noise point number difference threshold value,
is a third judgment value function when
When the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
if X is 0, the server judges that the quality of the user face image does not meet a first quality requirement; if X is 0.5, the server judges that the quality of the user face image does not meet a second quality requirement.
The embodiment innovatively provides a measurement index of image quality, when the face image of the user is collected, the quality evaluation of the face image of the user is realized through the measurement index of the image quality, if the quality of the face image of the user does not meet a first quality requirement, prompt information for prompting the user to obtain the face image of the user again is sent to the mobile terminal, and if the quality of the face image of the user does not meet a second quality requirement, the face image of the user is filtered, so that the influence of the poor-quality face image of the user on the verification of the identity of the user is avoided, and the accuracy of the matching identification of subsequent images is improved.
In an implementation manner, whether a pixel point z of the sub-region is a noise point is detected according to the following formula:
wherein S (z) is the channel value of the z-th pixel of the sub-image, Sk(z) is the channel value of the Kth pixel point in the adjacent area of the z th pixel point of the subimage, nzThe number of pixels in the neighborhood of the z-th pixel of the sub-image, STIs a preset channel value difference threshold, D (z) is the gray value of the z-th pixel point of the subimage, Dk(z) is the gray value of the Kth pixel point in the adjacent area of the z th pixel point of the subimage, nzNumber of pixels in the neighborhood of the 9 th pixel of the subimage, DTIn order to preset the gray value difference threshold value,
to determine the value function, when
When it takes on a value of 1, when
When the value is 0;
when H is larger than or equal to 1, the 9 th pixel point is represented as a noise point, and when H is smaller than 1, the 9 th pixel point is not represented as a noise point.
In the embodiment, whether the pixel point is a noise point is determined according to the relationship between the channel value and the gray value of the pixel point and the adjacent pixel point, and the number of the noise points is determined based on the relationship, so that the calculation is simple and convenient, and the efficiency and the accuracy of judging the noise points are improved.
In one implementation, the filtering processing on the user face image includes: carrying out gray value assignment on each noise point, wherein the size of a filter window is set, the center of the filter window is aligned to the noise point when the noise point is filtered, and if (a, b) represents the noise point of the user face image, pixel points covered by the filter window are as follows:
the gray values assigned to the noise points are:
in the formula, D(a,b)Representing the gray value, med (D), assigned to the noise point (a, b)α) Represents the median value of the gray values of the α th line in the current position filtering window, med (D)d) Representing the median of the β th column of gray values in the current position filter window.
The embodiment adopts the above mode to denoise the face image of the user, can quickly determine the gray value given to the noise point, improves the efficiency of denoising the noise point, and lays a good foundation for subsequent image matching.
It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the system is divided into different functional modules to perform all or part of the above described functions. For the specific working process of the system and the terminal described above, reference may be made to the corresponding process in the foregoing method embodiment, which is not described herein again.
From the above description of embodiments, it is clear for a person skilled in the art that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For a hardware implementation, a processor may be implemented in one or more of the following units: an application specific integrated circuit, a digital signal processor, a digital signal processing system, a programmable logic device, a field programmable gate array, a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the procedures of an embodiment may be performed by a computer program instructing associated hardware. In practice, the program may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. The computer-readable medium can include, but is not limited to, random access memory, read only memory images, electrically erasable programmable read only memory or other optical disk storage, magnetic disk storage media or other magnetic storage systems, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (5)
1. The method for setting the priority of the application software is characterized by comprising the following steps:
the method comprises the steps that a server receives a request for viewing application software sent by a mobile terminal, wherein the request comprises a user account and a user face image;
the server matches the user account with a standard user account prestored in a database, and if the matching is successful, the server matches and identifies the user face image and a standard face image corresponding to the standard user account;
if the identification is successful, the server acquires corresponding application software from an application store according to prestored application software priority setting information corresponding to the standard user account, and correspondingly sorts the acquired application software so that the interface of the application store displays the sorted acquired application software;
before the server matches and identifies the user facial image with a standard facial image corresponding to the standard user account, the method further includes:
dividing the user face image into a plurality of sub-images, detecting the number of noise points of each sub-image, and evaluating the quality of the user face image according to the number of the noise points;
if the quality of the user face image does not meet a first quality requirement, sending prompt information for prompting to reacquire the user face image to the mobile terminal;
if the quality of the user face image does not meet a second quality requirement, the server carries out filtering processing on the user face image;
the quality evaluation of the user face image according to the noise point number comprises the following steps:
calculating the quality value of the user face image according to the number of the noise points:
wherein X represents the quality value of the user face image, C (Delta) is the total noise point number of the user face image, CTIs a preset upper limit of the number of noise points,
is a first judgment value function when
When the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
nΔthe number of sub-images of the user face image,
a value function for the second determination when
When the temperature of the water is higher than the set temperature,
if not, then,
c (max) is the number of noise points in the sub-image with the largest number of noise points in each sub-image, Cy(max) is the number of noise points of the y-th sub-image adjacent to the sub-image having the largest number of noise points, nmaxNumber of sub-images adjacent to sub-image having the largest number of noise points, CtIs a preset noise point number difference threshold value,
is a third judgment value function when
When the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
if X is 0, the server judges that the quality of the user face image does not meet a first quality requirement; if X is 0.5, the server judges that the quality of the user face image does not meet a second quality requirement.
2. The method for setting the priority of the application software as claimed in claim 1, wherein after matching and recognizing the facial image of the user with a standard facial image corresponding to the standard user account, the method further comprises:
the server receives keywords which are input by the mobile terminal on an interface of an application store and used for searching application software;
and the server matches the keywords with standard keywords corresponding to a pre-stored standard identity account, and if the matching is unsuccessful, the server sends prompt information for prompting that the searched content is unhealthy to the mobile terminal.
3. The method for setting the priority of the application software as claimed in claim 1, wherein after matching and recognizing the facial image of the user with a standard facial image corresponding to the standard user account, the method further comprises:
the server receives a request for changing the priority setting information of the application software sent by the mobile terminal, wherein the request comprises a password;
the server verifies the changed password and provides an interface for changing the priority setting information of the application software to the mobile terminal after the verification is successful;
and the server stores the new application software priority setting information input by the mobile terminal through the interface for changing the application software priority setting information.
4. Application software priority setting system, characterized in that the system comprises a server and a mobile terminal which are connected in communication, the server and the mobile terminal being adapted to perform the application software priority setting method according to any of claims 1-3.
5. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises an application software prioritization program which, when executed by a processor, implements the steps of the application software prioritization method according to any one of claims 1-3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910209152.5A CN109918572B (en) | 2019-03-19 | 2019-03-19 | Application software priority setting method and system, and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910209152.5A CN109918572B (en) | 2019-03-19 | 2019-03-19 | Application software priority setting method and system, and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109918572A CN109918572A (en) | 2019-06-21 |
| CN109918572B true CN109918572B (en) | 2020-06-26 |
Family
ID=66965816
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910209152.5A Active CN109918572B (en) | 2019-03-19 | 2019-03-19 | Application software priority setting method and system, and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109918572B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101859425A (en) * | 2010-06-02 | 2010-10-13 | 中兴通讯股份有限公司 | Method and device for providing application list |
| CN101976420A (en) * | 2010-10-29 | 2011-02-16 | 无锡中星微电子有限公司 | Bank card transaction system and method thereof |
| CN102902717A (en) * | 2012-08-24 | 2013-01-30 | 百度在线网络技术（北京）有限公司 | Method, system and device for organizing a plurality of applications in app store |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140006418A1 (en) * | 2012-07-02 | 2014-01-02 | Andrea G. FORTE | Method and apparatus for ranking apps in the wide-open internet |
-
2019
- 2019-03-19 CN CN201910209152.5A patent/CN109918572B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101859425A (en) * | 2010-06-02 | 2010-10-13 | 中兴通讯股份有限公司 | Method and device for providing application list |
| CN101976420A (en) * | 2010-10-29 | 2011-02-16 | 无锡中星微电子有限公司 | Bank card transaction system and method thereof |
| CN102902717A (en) * | 2012-08-24 | 2013-01-30 | 百度在线网络技术（北京）有限公司 | Method, system and device for organizing a plurality of applications in app store |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109918572A (en) | 2019-06-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8607319B2 (en) | Methods and systems for determining biometric data for use in authentication transactions | |
| US9588957B2 (en) | Dictionary update method, dictionary update system, and dictionary update program | |
| CN106790262B (en) | Authentication method and device | |
| US20180046848A1 (en) | Method of recognizing fingerprints, apparatus and terminal devices | |
| US8253535B2 (en) | Electronic device and access controlling method thereof | |
| CN111291601B (en) | Lane line identification method and device and electronic equipment | |
| US20120117633A1 (en) | Enhanced Security For Pervasive Devices Using A Weighting System | |
| CN109905393B (en) | E-commerce login method based on cloud security | |
| CN112330715A (en) | Tracking method, tracking device, terminal equipment and readable storage medium | |
| EP2701096A2 (en) | Image processing device and image processing method | |
| US10936706B2 (en) | Biometric authentication | |
| CN109918572B (en) | Application software priority setting method and system, and computer readable storage medium | |
| US10922514B2 (en) | Electronic apparatus | |
| CN109884908B (en) | Cloud platform, equipment control method and system and readable storage medium | |
| CN109947965B (en) | Object recognition, data set updating and data processing method and device | |
| CN116777441A (en) | Information verification method, device, equipment and computer readable storage medium | |
| CN109873991B (en) | Internet of things video monitoring traffic processing method, processing system and storage medium | |
| CN109934591B (en) | Method and mobile terminal for guaranteeing payment safety | |
| CN109871677B (en) | Intelligent switch control system and method | |
| CN109903139B (en) | Electronic commerce platform commodity information acquisition method according to time node | |
| WO2021164122A1 (en) | Intelligent user recognition method and device, and computer readable storage medium | |
| CN111160066B (en) | Face recognition method, device, equipment and medium | |
| CN109885771B (en) | Application software screening method and service equipment | |
| CN109993139B (en) | Gesture recognition method, gesture recognition device and equipment | |
| CN112052729B (en) | Intelligent dynamic high-definition video detection method and system based on face recognition |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200604 Address after: 215000 19 / F, No.99, nantiancheng Road, high speed rail new town, Suzhou, Jiangsu Province Applicant after: Ziguang cloud engine technology (Suzhou) Co., Ltd Address before: Room 601-A42, 88 Nantiancheng Road, Xiangcheng High-speed Railway New Town, Suzhou City, Jiangsu Province Applicant before: SUZHOU MAIRONGXIANG INFORMATION TECHNOLOGY Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |