CN109493112A - Member management control method, device, computer equipment and storage medium - Google Patents
Member management control method, device, computer equipment and storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 63
- 238000001514 detection method Methods 0.000 claims description 15
- 238000012545 processing Methods 0.000 claims description 13
- 238000001727 in vivo Methods 0.000 claims description 12
- 238000012790 confirmation Methods 0.000 claims description 6
- 238000012795 verification Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 17
- 210000000887 face Anatomy 0.000 description 12
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- 238000004891 communication Methods 0.000 description 9
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- 238000013528 artificial neural network Methods 0.000 description 2
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- 238000013461 design Methods 0.000 description 2
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- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
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- 238000004590 computer program Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
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- 238000007689 inspection Methods 0.000 description 1
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- 238000012163 sequencing technique Methods 0.000 description 1
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- 238000004611 spectroscopical analysis Methods 0.000 description 1
- 238000013179 statistical model Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q30/0224—Discounts or incentives, e.g. coupons or rebates based on user history
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/40—Spoof detection, e.g. liveness detection
- G06V40/45—Detection of the body part being alive
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Abstract
The invention discloses a kind of member management control method, which is based on face identification system, comprising the following steps: obtains the identity information of target user；According to preset judging identity rule, judge whether the member user in the target user and preset member database has preset incidence relation；When the target user and the member user have the preset incidence relation, the target user and the member user are associated, so that the target user shares member's permission of the member user.The present invention has the corresponding member's account information of the member user of relatives or friends with the user by being associated with the personally identifiable information of user, allow member user easy and safely member's Authority sharing is used alone to relatives or friend, the utilization rate of single member's account is improved, while alleviating system to the burden of member management.
Description
Technical field
The present invention relates to technical field of face recognition, specifically, the present invention relates to a kind of member management control methods, dress
It sets, computer equipment and storage medium.
Background technique
There are more businessmans increasingly to disappear in process of consumption in present market by the preferential attraction consumer of member card
Expense person can carry out authentication by way of showing member card or quoting telephone number.However, by showing member card
When mode carries out authentication, user needs to carry member card, and when user needs membership being shared with relatives
Or good friend is in use, needing in handing over member card to relatives or good friend's hand or telephone number or membership number being informed relatives or good
Friend could use, this process is cumbersome and member card is easy to cause to lose or forget to carry；And by report telephone number or
When the mode of membership number carries out authentication, this is easy to cause the telephone number of user or membership number to reveal and usurp use by other people
The membership at family, or even the interests of damage user, thus, current membership's verification mode can not be easy and safely will
Member's permission shares to relatives or friend is used alone.
Summary of the invention
The purpose of the present invention aims to solve at least one of above-mentioned technological deficiency, especially can not be easy and safely by member
The technological deficiency that Authority sharing is used alone to relatives or friend.
In order to solve the above technical problems, the present invention provides a kind of member management control method, the member management controlling party
Method is based on face identification system, includes the following steps:
Obtain the identity information of target user；
According to preset judging identity rule, the member user in the target user and preset member database is judged
Whether there is preset incidence relation；
When the target user and the member user have the preset incidence relation, by the target user with
The member user is associated, so that the target user shares member's permission of the member user.
Optionally, before the step of identity information for obtaining target user, further includes:
Obtain the human face image information of target user；
According to the human face image information of the target user, determine whether the target user is member user；
When determining the target user is non-member user, the identity information of the target user is obtained.
Optionally, the step of whether determination target user is member user, comprising:
Judge in the human face image information with the presence or absence of face；
If so, carrying out In vivo detection to the human face image information, judge whether the human face image information derives from work
Body face；
If so, the human face image information of the target user is used with all members being stored in the member database
Family image information of keeping on file is matched；
When the target user human face image information and be stored in member user's present in the member database
When image information of keeping on file matches, it is determined that the target user is member user, otherwise, it determines the target user is non-meeting
Member user.
Optionally, the human face image information by the target user be stored in it is all in the member database
Member user keeps on file image information the step of matching, comprising:
Call the image information of keeping on file for all member users being stored in the member database；
The human face image information of the target user is calculated to keep on file with each member user in the member database
Similarity between image information；
When the human face image information of the target user is kept on file with any one member user in the member database
When similarity between image information is more than preset similarity threshold, it is determined that the target user is the image information of keeping on file
Corresponding member user.
Optionally, when determining the target user is member user, further includes:
According to the human face image information of the target user, it is corresponding that the target user is extracted in the member database
Member's account information simultaneously feeds back to user terminal.
Optionally, the identity judgment rule is the cohesion calculated between the target user and the member user；
It is described regular according to preset judging identity, judge the member in the target user and preset member database
Whether user has the step of preset incidence relation, comprising:
Obtain the identity information for being stored in all member users in the member database；
The identity information of the target user is compared with the identity information of member user in the member database,
Calculate the intimate angle value between the target user and the member user；
When the cohesion between the target user and the member user is more than preset cohesion threshold value, judgement should
There is preset incidence relation between member user and the target user.
Optionally, described the step of being associated the target user and the member user, comprising:
Obtain meeting corresponding more than the member user of preset cohesion threshold value with the cohesion between the target user
Member's account information；
Member's sharing request is sent to the member user, includes the target user in member's sharing request
Authentication information；
The confirmation shared information for receiving member user's feedback, the identity information of the target user is associated with described
The corresponding member's account information of member user, so that the target user shares member's permission of the member user.
In order to solve the above technical problems, the present invention also provides a kind of member management control device, the member management control
Device processed includes:
Module is obtained, for obtaining the identity information of target user；
Processing module, for judging the target user and preset member data according to preset judging identity rule
Whether the member user in library has preset incidence relation；
Execution module is used for when the target user has the incidence relation with the member user, by the mesh
Mark user is associated with the member user, so that the target user shares member's permission of the member user.
Optionally, the member management control device further include:
First acquisition submodule, for obtaining the human face image information of target user；
First processing submodule determines that the target user is for the human face image information according to the target user
No is member user；
First implementation sub-module, for obtaining the target user when determining the target user is non-member user
Identity information.
Optionally, the member management control device further include:
First judging submodule, for judging in the human face image information with the presence or absence of face；
Second judgment submodule, for when in the human face image information there are when face, to the human face image information
In vivo detection is carried out, judges whether the human face image information derives from living body faces；
Third judging submodule is used for when the human face image information derives from living body faces, by the target user
Human face image information and all member users being stored in the member database image information of keeping on file match；
First determines submodule, for working as the human face image information of the target user and being stored in the member database
Present in the image information of keeping on file of member user when matching, it is determined that the target user is member user, otherwise, it determines
The target user is non-member user.
Optionally, the member management control device further include:
Second acquisition submodule, for calling the image of keeping on file for all member users being stored in the member database
Information；
Second processing submodule, it is every in the human face image information and the member database for calculating the target user
Similarity between the image information of keeping on file of one member user；
Second implementation sub-module, for when any in the human face image information and the member database of the target user
When similarity between the image information of keeping on file of one member user is more than preset similarity threshold, it is determined that the target is used
Family is the corresponding member user of the image information of keeping on file.
Optionally, the member management control device further include:
Feedback module, for the human face image information according to the target user, extracting in the member database should
The corresponding member data information of target user simultaneously feeds back to user terminal.
Optionally, the member management control device further include:
Third acquisition submodule, for obtaining the identity information for being stored in all member users in the member database；
Third handles submodule, for by member user in the identity information of the target user and the member database
Identity information be compared, calculate the cohesion between the target user and the member user；
Third implementation sub-module, for being more than preset when the cohesion between the target user and the member user
When cohesion threshold value, judge that there is preset incidence relation between the member user and the target user.
Optionally, the member management control device further include:
4th acquisition submodule, for obtaining the cohesion between the target user more than preset cohesion threshold value
The corresponding member's account information of member user；
Fourth process submodule, for sending member's sharing request to the member user, in member's sharing request
It include the authentication information of the target user；
4th implementation sub-module, for receiving the confirmation shared information of member user's feedback, by the target user
Identity information be associated with the corresponding member's account information of the member user used so that the target user shares the member
Member's permission at family.
In order to solve the above technical problems, the present invention also provides a kind of computer equipment, including memory and processor, it is described
Computer-readable instruction is stored in memory, when the computer-readable instruction is executed by the processor, so that the place
Manage the step of device executes above-mentioned member management control method.
In order to solve the above technical problems, the present invention also provides a kind of storage medium for being stored with computer-readable instruction, institute
When stating computer-readable instruction and being executed by one or more processors, so that one or more processors execute above-mentioned member management
The step of control method.
The beneficial effects of the present invention are:
The present invention is based on face identification systems, by obtaining the identity information of target user, by the body of the target user
Part information is compared with the identity information for being stored in member user in member database, judge the target user with it is described
It whether there is preset incidence relation between member user, if it exists preset incidence relation, then by the target user and institute
It states member user to be associated, the target user is allowed to share member's permission of the member user.This member's pipe
When reason control device can solve user and membership is shared with relatives or good friend be used alone on the one hand, can not be easy and pacify
The problem of member's Authority sharing is used alone to relatives or friend entirely, on the other hand can also improve single member's account
Utilization rate mitigates the burden that member system is managed member's account.
The additional aspect of the present invention and advantage will be set forth in part in the description, these will become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those skilled in the art, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is the basic procedure schematic diagram of member management control method provided in an embodiment of the present invention；
Fig. 2 be member management control method provided in an embodiment of the present invention in judge be between target user and member user
The no method flow schematic diagram with preset incidence relation；
Fig. 3 is in member management control method provided in an embodiment of the present invention by the target user and the member user
The method flow schematic diagram being associated；
Fig. 4 is to judge whether target user is member user's in member management control method provided in an embodiment of the present invention
Method flow schematic diagram；
Fig. 5 is to determine whether the target user is that member uses in member management control method provided in an embodiment of the present invention
The another method flow diagram at family；
Fig. 6 is in member management control method provided in an embodiment of the present invention by the human face image information of the target user
It keeps on file the method flow schematic diagram that image information is compared with all member users being stored in the member database；
Fig. 7 is member management control device basic structure block diagram provided in an embodiment of the present invention；
Fig. 8 is computer equipment basic structure block diagram provided in an embodiment of the present invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described.
In some processes of the description in description and claims of this specification and above-mentioned attached drawing, contain according to
Multiple operations that particular order occurs, but it should be clearly understood that these operations can not be what appears in this article suitable according to its
Sequence is executed or is executed parallel, and the serial number of the operation is only used for distinguishing each different operation, serial number not generation itself
Table it is any execute sequence.In addition, these processes may include more or fewer operations, and these operations can be in order
It executes or executes parallel.It should be noted that the description such as herein " first ", " second ", be for distinguish different message,
Equipment, module etc. do not represent sequencing, also do not limit " first " and " second " and are different type.
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those skilled in the art's every other embodiment obtained under the premise of no creative work,
It shall fall within the protection scope of the present invention.
Embodiment
Those skilled in the art of the present technique are appreciated that " terminal " used herein above, " terminal device " both include wireless communication
The equipment of number receiver, only has the equipment of the wireless signal receiver of non-emissive ability, and including receiving and emitting hardware
Equipment, have on bidirectional communication link, can execute two-way communication reception and emit hardware equipment.This equipment
It may include: honeycomb or other communication equipments, shown with single line display or multi-line display or without multi-line
The honeycomb of device or other communication equipments；PCS (Personal Communications Service, PCS Personal Communications System), can
With combine voice, data processing, fax and/or communication ability；PDA (Personal Digital Assistant, it is personal
Digital assistants), it may include radio frequency receiver, pager, the Internet/intranet access, web browser, notepad, day
It goes through and/or GPS (Global Positioning System, global positioning system) receiver；Conventional laptop and/or palm
Type computer or other equipment, have and/or the conventional laptop including radio frequency receiver and/or palmtop computer or its
His equipment." terminal " used herein above, " terminal device " can be it is portable, can transport, be mounted on the vehicles (aviation,
Sea-freight and/or land) in, or be suitable for and/or be configured in local runtime, and/or with distribution form, operate in the earth
And/or any other position operation in space." terminal " used herein above, " terminal device " can also be communication terminal, on
Network termination, music/video playback terminal, such as can be PDA, MID (Mobile Internet Device, mobile Internet
Equipment) and/or mobile phone with music/video playing function, it is also possible to the equipment such as smart television, set-top box.
The user terminal referred in the present embodiment is above-mentioned terminal.
Specifically, referring to Fig. 1, the basic procedure that Fig. 1 is member management control method provided in an embodiment of the present invention shows
It is intended to.
As shown in Figure 1, the member management control method, comprising the following steps:
S100: the identity information of target user is obtained.
In the present embodiment, server end to user terminal transmission acquisition of information by instructing and indicating target user at end
Identity information table is filled in end equipment and is committed to the server end, to obtain the identity information of the target user.Its
In, the identity information includes name information, ID card information, certificate address information, phone information and image information etc. of keeping on file.
S200: according to preset judging identity rule, judge the meeting in the target user and preset member database
Whether there is preset incidence relation between member user.
In the present embodiment, the preset judging identity rule is meeting in the target user and the member database
Intimate angle value between member user exceeds preset cohesion threshold value.Wherein, in the target user and the member database
Intimate angle value between member user can be by by the identity information of the target user and being stored in meeting in member database
The identity information of member user is compared and is calculated.
After the server end acquires the identity information of target user, based on the preset identity judgement rule
Then, whether exceeded by the intimate angle value between member user in the calculating target user and the member database preset
Cohesion threshold value, and then it is preset to judge whether the target user and the member user in preset member database have
Incidence relation.For example, super when calculating the intimate angle value in the target user and the member database between member user
Out when preset cohesion threshold value, then it is default to judge that the member user in the target user and preset member database has
Incidence relation.
S300: when the target user and the member user have the preset incidence relation, by the target
User is associated with the member user, so that the target user shares member's permission of the member user.
In the present embodiment, when the server end judges the target user and the member user with described pre-
If incidence relation when, the identity information of the target user is stored in the member database and is associated with the member
The corresponding member's account information of user, so that the target user shares member's permission of the member user.
In some embodiments, the preset incidence relation includes friendly relationship of becoming reconciled of calling cousin with, for the mesh
The difference for marking incidence relation between user and the member user, to the open different member's permission of the target user.For example,
Member's permission includes enjoying member privilege permission, using member's account balance permission etc..When the target user with it is described
When incidence relation between member user is kinship, can for the open permission for enjoying member privilege of the target user and
Use the permission of member's account balance；When the incidence relation between the target user and the member user is friend relation
When, it only can be the open permission for enjoying member privilege of the target user.
Member management control method described in above-described embodiment is based on face identification system, by the body for obtaining target user
Part information, the identity information of the target user is carried out with the identity information for being stored in member user in member database pair
Than judging to whether there is preset incidence relation between the target user and the member user, if it exists preset pass
The target user and the member user are then associated by connection relationship, and the target user is allowed to share the meeting
Member's permission of member user.This member management control device on the one hand can solve user by membership be shared with relatives or
It is another the problem of can not be easy and safely member's Authority sharing is used alone to relatives or friend when good friend is used alone
Aspect can also improve the utilization rate of single member's account, mitigate the burden that member system is managed member's account.
In some embodiments, the preset judging identity rule is to calculate the target user and the member user
Between cohesion.Referring to Figure 2 together, Fig. 2 is to judge target in member management control method provided in an embodiment of the present invention
Whether there is the method flow schematic diagram of preset incidence relation between user and member user.
As shown in Fig. 2, when the server end is used by calculating member in the target user and the member database
Intimate angle value between family, so judge between the member user in the target user and preset member database whether
When with preset incidence relation, the step 200 is specifically include the following steps: S210: acquisition is stored in the member data
The identity information of all member users in library；S220: by meeting in the identity information of the target user and the member database
The identity information of member user is compared, and calculates the cohesion between the target user and the member user；S230: work as institute
When stating the cohesion between target user and the member user more than preset cohesion threshold value, the member user and institute are judged
Stating has preset incidence relation between target user.
In the present embodiment, the identity information of member user is stored in the member database.Each member user is equal
It is corresponding with a identity information table.Wherein, the identity information of member user, such as name letter are described in the identity information table
Breath, ID card information, certificate address information, phone information and image information of keeping on file etc..The server end is stored in by calling
All identity information tables in the member database, can obtain the identity information of all member users.In the server
After end acquires the identity information for all member users being stored in the member database, by the target user's
Identity information and the identity information of member user in the member database compare, be calculated the target user with
Cohesion between the member user.Further, then based on the preset identity judgment rule default one for sentencing
It is disconnected whether the cohesion threshold value with preset incidence relation, when according to identity information comparison obtain the target user with it is described
When cohesion between member user is greater than preset cohesion threshold value, illustrate that the target user has with the member user
Preset incidence relation.Wherein, the preset incidence relation includes kinship and friend relation.
In some embodiments, when the preset incidence relation is kinship, sentenced based on the preset identity
Disconnected rule, cohesion between the target user and the member user can be by by the images of keeping on file of the target user
Information and the image information of keeping on file of the member user compare to obtain.Its method obtained includes metric learning, phase
Like degree study, characteristic Design and study etc..
By taking characteristic Design and study as an example, by keeping on file for keep on file image information and the member user of the target user
Image information compares, including extracts the target user using local binary patterns or scale invariant feature conversion scheduling algorithm
With the feature vector in the image information of keeping on file of the member user, according to the method for principal component analysis to described eigenvector into
Row dimension-reduction treatment in the characteristic vector space after dimensionality reduction, calculates the target user by the metric form of mahalanobis distance
Feature vector and the member user the distance between feature vector, and then according to the feature vector of the target user with
Corresponding relationship of the distance between the feature vector of the member user between cohesion obtain the target user with it is described
Cohesion between member user, to judge between the target user and the member user whether to be kinship.
Wherein, the mahalanobis distance is a kind of method of similarity for effectively calculating two unknown sample collection, considers various spies
Property between connection and be that scale is unrelated.In some specific embodiments, the preset identity judgment rule packet
It includes but not limited to this: a distance metric range is preset, so that there is kinship in the characteristic vector space after dimensionality reduction
The distance between two personal characteristics vectors within the scope of the preset distance metric, without two people of kinship
The distance between feature vector then exceeds the preset distance metric range.
In some embodiments, when the preset incidence relation is friend relation, based on preset identity judgement rule
Then, the intimate angle value between the target user and the member user can be by by the target user and the member
Inhabitation address information in subscriber identity information compares, and judges whether the target user and the member user have jointly
Life range and/or by obtaining the history human face image information that is associated in the historical data information of member's account, judge institute
It states target user and whether the member user is regular existing with outlining, and then judge the target user and the member user
Between whether be friend relation.In some specific embodiments, the preset identity judgment rule includes but is not limited to
This: when the target user is identical as the inhabitation address information of the member user, the target user and the member are used
Intimate angle value between family is 5, is otherwise 0；When often being detected described in one in the historical data information for being associated with member's account
With the member user with the human face image information of frame, the intimate angle value between the target user and the member user adds user
1；Default cohesion threshold value is 10, when the intimate angle value between the calculated target user and the member user is greater than in advance
If cohesion threshold value 10 when, judge the target user and the member user for friend relation.
For example, Mr. Zhang is the member user of some businessman, and Mr. Li is the non-member of the businessman, when Mr. Li is at this
When businessman consumes, stored in the inhabitation address information and businessman's member database in identity information table that Mr. Li submits
The Mr. Zhang inhabitation address information it is identical, and detected in the historical data information for being associated with Mr. Zhang member's account
Existing human face image information is outlined together to 8 Mr. Zhangs and Mr. Li.Then calculate the target user and the meeting
Intimate angle value between member user is 5+8=13, is greater than preset cohesion threshold value 10, that is, judges the Mr. Zhang and Mr. Li is
Friend relation.
In some embodiments, as the member user for judging the target user Yu being stored in the member database
Between have preset incidence relation after, further by the target user and this have preset association relationship member use
Family is associated.Also referring to Fig. 3, Fig. 3 is in member management control method provided in an embodiment of the present invention by the target
The method flow schematic diagram that user and the member user are associated.
As shown in figure 3, step S300 specifically comprises the following steps:
S310: obtaining with the cohesion between the target user is more than that the member user of preset cohesion threshold value is corresponding
Member's account information.
When judging that the cohesion between the target user and the member user being stored in the member database is super
When crossing preset cohesion threshold value, illustrate have between the target user and the member user being stored in the member database
There is preset incidence relation, obtaining this at this time has the corresponding member's account of the member user of incidence relation with the target user
Information.Member's account information includes the contact information of the member user.
S320: Xiang Suoshu member user sends member's sharing request, includes the target in member's sharing request
The authentication information of user.
After the member's account information for acquiring the member user, the connection of the member user is read by server end
It is mode information, such as telephone number, then member's sharing request information is sent to the member user by telephone number, obtains
Take the license that member's permission is shared with the member user.It include the identity of the target user in member's sharing request
Verification information, in order to which the member user verifies its incidence relation between the target user.The target user's
Authentication information includes name and contact method of the target user etc..
S330: the confirmation shared information of member user's feedback is received, the identity information of the target user is associated with
In the corresponding member's account information of the member user, so that the target user shares member's permission of the member user.
It, can be total according to the member after member user receives member's sharing request of server end transmission
The instruction for enjoying information is replied.The server end in the form of short message sending member's sharing request information.For example, institute
The content for stating short message can be with are as follows: " you are good by Mr. XX, your relatives (or good friend) Mr. XXX, telephone number 136****6985
The member's permission for requesting shared XX businessman, it is whether true and reply following instructions please to verify its identity: confirmation identity is true, only altogether
Enjoy member privilege permission R. S. V. P. 1；Confirm that identity is true, share member privilege permission and is asked using member's account balance permission
Reply 2；Refuse shared R. S. V. P. 3." member user will be described in whether Gong Xiang information feeds back to by replying 1 or 2 or 3
It is shared to confirm that the member user agrees to when the received server-side to the member user replys 2 or 3 for server end,
The identity information of the target user is stored in the member database and member's account corresponding with the member user
Information is associated, meanwhile, the target user is arranged according to the content " 2 " that the member user replys and only shares member privilege
Member's permission, or according to the content " 3 " that the member user replys be arranged the target user share member privilege and
Use member's permission of member's account balance.
Above-described embodiment is total by first sending member to the member user with the target user with preset association relationship
Request is enjoyed, in order to which whether verify its incidence relation between the target user true by the member user, and according to institute
The wish for stating the reply of member user carries out member's priority assignation to the target user, is effectively protected the member user's
Equity.
In some embodiments, before the step of obtaining the identity information of target user, it is also necessary to first judge the target
Whether user is member user, and the identity information of the target user is obtained when the target user is non-member.Please join together
Read Fig. 4, Fig. 4 be judge in member management control method provided in an embodiment of the present invention target user whether be member user side
Method flow diagram.
As shown in figure 4, further including following steps before step S100:
S400: the human face image information of target user is obtained.
In the present embodiment, by being arranged one for obtaining the photographic device of human face image information in user terminal, and
And the photographic device is connected to server end, so that the facial image of the available target user of the server end
Information.
S500: according to the human face image information of the target user, determine whether the target user is member user.
In the present embodiment, after the server end gets the human face image information of the target user, pass through
Judge the target user human face image information whether with any one member user for being stored in the member database
Human face image information match to determine whether the target user is member user.
In some embodiments, it when determining whether the target user is member user, is obtained by server end
To the human face image information of target user be sent to face identification system, by the face identification system to the server end
The human face image information of the target user got carries out a series of matchings such as Face datection, In vivo detection and face comparison
Operation, when the human face image information that matching result is the target user and one of them being stored in the member database
When the human face image information of member user matches, it is determined that the target user is member user, is otherwise non-member user.Please
It is together to judge whether the target user is meeting in member management control method provided in an embodiment of the present invention refering to Fig. 5, Fig. 5
The another method flow diagram of member user.
As shown in figure 5, the step of whether the determination target user is member user, specifically includes:
S510: judge in the human face image information with the presence or absence of face.
In the present embodiment, the face identification system carries out Face datection to the human face image information of the target user
It is in fact exactly the process for completing " face " and " non-face " image authentication, including believing from the facial image of the target user
Face is determined whether there is in breath and determines position, size, the position of all faces.The method for detecting human face includes base
In the detection method of feature, for example, being carried out by the relationship between description face features and these features to image
Face datection (such as the distribution for detecting the organs such as eyes, nose, mouth respectively with neural network)；Or by finding face face
The feature that will not all change under different postures, visual angle, expression come to image carry out Face datection (such as the colour of skin inspection
It surveys, contour detecting)；Or the correlation between calculating input image child window and standard faces template, then the phase that will be acquired
Pass value is compared with the threshold value being previously set, and comes to carry out Face datection to image with the presence or absence of face in image to differentiate.Institute
Stating method for detecting human face further includes the detection method based on statistical model, for example, seeing face as a kind of region mode, is used
A large amount of human face data makees sample training, to learn potential rule and structural classification device, by differentiating all possibility in image
Region mode attribute realizes the detection of face, so that two classification that Face datection problem is converted into statistical-simulation spectrometry are asked
Topic, such as the Face datection based on neural network (ANN) and the Face datection based on support vector machines (SVM).
S520: if so, to the human face image information carry out In vivo detection, judge the human face image information whether source
In living body faces.
In the present embodiment, when the face identification system determines in the human face image information there are after face, by
The face identification system further carries out In vivo detection operation to the human face image information of the target user, including using instruction
The mode for acting cooperation carries out In vivo detection to the human face image information of the user.For example, by the face identification system with
Machine issues face and any one or more instruction action such as turns left, turns right, shaking the head, nodding, opening one's mouth, blinking, if user refers to this
Order movement cooperation is correct, then regards as living body；It otherwise is non-living body.
S530: if so, by the human face image information of the target user and being stored in all in the member database
Member user's image information of keeping on file is compared.
In the present embodiment, when the face identification system carries out In vivo detection to the human face image information and determines institute
Human face image information is stated from living body faces and then by the face identification system further to the people of the target user
Face image information carry out face alignment operation, including by the corresponding face of the human face image information of the target user be stored in
The corresponding face of image information of keeping on file of member user is compared in member database.If comparison result is the target user
The corresponding face of human face image information and the preset member database in a wherein member user keep on file image letter
It ceases the similarity between corresponding face and reaches certain threshold requirement (such as similarity >=98%), then it is assumed that the target user
Human face image information and the human face image information of the one of member user being stored in the member database match,
I.e. this two faces belong to the same person, so that it is determined that the target user is member user.
Referring to Figure 6 together, Fig. 6 is in member management control method provided in an embodiment of the present invention by the target user
Human face image information and all member users being stored in the member database keep on file the side that image information is compared
Method flow diagram.
In some embodiments, as shown in fig. 6, the step S530 further include: S531: calling is stored in member's number
According to the image information of keeping on file of all member users in library；S532: calculate the human face image information of the target user with it is described
Similarity in member database between the image information of keeping on file of each member user；S533: as the people of the target user
Similarity in face image information and the member database between the image information of keeping on file of any one member user is more than pre-
If similarity threshold when, it is determined that the target user be the corresponding member user of the image information of keeping on file.
In the present embodiment, obtain being stored in all members in the member database from calling in the member database
After the image information of keeping on file of user, pass through each meeting for obtaining the human face image information of the target user and the calling
The corresponding image information of keeping on file of member user is compared one by one, and calculate the human face image information of the target user with it is described
Similarity between the image information of keeping on file of each member user in member database, then each member user is kept on file
The corresponding similarity of image information is compared with preset similarity threshold, when one of member user keeps on file image information
When corresponding similarity is greater than the preset similarity threshold (such as similarity >=98%), then the target user is judged i.e.
For the corresponding member user of the image information of keeping on file.
Wherein, the human face image information of the target user and each member user in the member database keep on file
Similarity calculation between image information includes: to train human face characteristic point to extract model in advance based on deep learning, according to described
The obtained human face characteristic point of training extracts model, obtain multiple human face characteristic points in target user's human face image information and
The member user keeps on file multiple human face characteristic points in image information, calculates same characteristic features point Zhan Suoyou in two faces
The ratio of characteristic point, to show that the human face image information of the target user and each member in the member database are used
Similarity between the image information of keeping on file at family.For example, the human face characteristic point obtained according to the training extracts model, from described
Target user's human face image information neutralizes the member user and keeps on file to extract 100 human face characteristic points respectively in image information, and
Human face characteristic point and the member user in target user's human face image information are kept on file the face characteristic in image information
Point corresponds, and judges whether mutual corresponding two human face characteristic points are consistent in two pieces of image information, if judging the mesh
Marking in the human face image information of user, there is 98 human face characteristic points and the member user to keep on file corresponding people in image information
Face characteristic point is consistent, it is concluded that the human face image information of the target user and each member user in the member database
Image information of keeping on file between similarity be 98%.
S540: when the human face image information of the target user is used with member present in the member database is stored in
When the image information of keeping on file at family matches, it is determined that the target user is member user, otherwise, it determines the target user is
Non-member user.
In the present embodiment, the face figure of the target user server end got when the face identification system
As a series of matching operations such as information progress Face datection, In vivo detection and face comparisons, and confirm the target user
The corresponding face of human face image information and the preset member database in a wherein member user keep on file image letter
When ceasing the similarity between corresponding face and reaching certain threshold requirement, it is believed that the human face image information of the target user with deposit
The human face image information for the one of member user being stored in the member database matches, i.e., this two faces belong to together
One people determines that the target user is member user.Otherwise, it determines the target user is non-member user.
S600: when determining the target user is non-member user, the identity information of the target user is obtained.
In the present embodiment, the face figure of the target user server end got when the face identification system
As a series of matching operations such as information progress Face datection, In vivo detection and face comparisons, and confirm the target user
The corresponding face of human face image information and the preset member database in a wherein member user keep on file image letter
When ceasing the similarity between corresponding face and not reaching certain threshold requirement, it is believed that the human face image information of the target user
Not with the human face image information mismatch for the one of member user being stored in the member database, i.e. this two faces
Belong to the same person, so that it is determined that the target user is non-member user.At this point, sending acquisition instruction by the server end
It include identity information table in the acquisition instruction, to indicate that the target user fills in the identity to the user terminal
Information table simultaneously feeds back to the server end.
It in some embodiments, can also include step S700 after the step S500, the specific steps are as follows:
S700: when determining the target user is member user, according to the human face image information of the target user,
The corresponding member data information of the target user is extracted in the member database and feeds back to user terminal.
In the present embodiment, the face figure of the target user server end got when the face identification system
As a series of matching operations such as information progress Face datection, In vivo detection and face comparisons, and confirm the target user
The corresponding face of human face image information and the preset member database in a wherein member user keep on file image letter
When ceasing the similarity between corresponding face and reaching certain threshold requirement, it is believed that the human face image information of the target user with deposit
The human face image information for the one of member user being stored in the member database matches, i.e., this two faces belong to together
One people determines that the target user is member user.It is used at this point, obtaining and being stored in the member database with the target
The corresponding member data information of the matched member user of the human face image information at family simultaneously feeds back to user terminal.Wherein, the meeting
Member's data information includes member's account information, member's history consumption history information etc..
The embodiment of the present invention also provides a kind of member management control device to solve above-mentioned technical problem.Referring specifically to figure
7, Fig. 7 be member management control device basic structure block diagram provided in an embodiment of the present invention.
As shown in fig. 7, a kind of member management control device, comprising: obtain module 10, processing module 20 and execution module
30.Wherein, the identity information for obtaining module 10 and being used to obtain target user.The processing module 20 is used for according to preset
Judging identity rule, judges whether the member user in the target user and preset member database has preset association
Relationship.The execution module 30 is used to have the incidence relation when the identity information and the member user, by the mesh
Mark user is associated with the member user, so that the target user shares member's permission of the member user.
The member management control device is based on face identification system, by obtaining the identity information of target user, by institute
The identity information for stating target user is compared with the identity information for being stored in member user in member database, is judged described
It whether there is preset incidence relation between target user and the member user, if it exists preset incidence relation, then by institute
It states target user to be associated with the member user, the target user is allowed to share the membership of the member user
Limit.On the one hand this member management control device can solve user and membership be shared with relatives or good friend's exclusive use
When, the problem of can not be easy and safely member's Authority sharing is used alone to relatives or friend, on the other hand it can also mention
The utilization rate of high single member's account, mitigates the burden that member system is managed member's account.
In some embodiments, the member management control device further include: the first acquisition submodule, the first processing submodule
Block and the first implementation sub-module.Wherein, first acquisition submodule is used to obtain the human face image information of target user.Institute
The first processing submodule is stated for the human face image information according to the target user, determines whether the target user is member
User.First implementation sub-module is used to obtain the target user when determining the target user is non-member user
Identity information.
Further, in the present embodiment, the member management control device further include: the first judging submodule, second
Judging submodule, third judging submodule and first determine submodule.Wherein, first judging submodule is for judging institute
It states in human face image information with the presence or absence of face.The second judgment submodule is used for when there are people in the human face image information
When face, In vivo detection is carried out to the human face image information, judges whether the human face image information derives from living body faces.Institute
Third judging submodule is stated, is used for when the human face image information derives from living body faces, by the face of the target user
Image information and all member users being stored in the member database image information of keeping on file match.Described first really
Stator modules are used for the human face image information as the target user with member present in the member database is stored in
When the image information of keeping on file at family matches, it is determined that the target user is member user, otherwise, it determines the target user is
Non-member user.
In some embodiments, the member management control device further include: the second acquisition submodule, second processing submodule
Block and the second implementation sub-module.Wherein, second acquisition submodule is stored in the member database for calling
The image information of keeping on file of all member users.The second processing submodule is used to calculate the facial image letter of the target user
Similarity in breath and the member database between the image information of keeping on file of each member user.Described second executes submodule
Block is used for the figure of keeping on file as any one member user in the human face image information and the member database of the target user
When being more than preset similarity threshold as the similarity between information, it is determined that the target user is the image information pair of keeping on file
The member user answered.
Further, in the present embodiment, the member management control device further includes feedback module.The feedback module
For the human face image information according to the target user, the corresponding member of the target user is extracted in the member database
Data information simultaneously feeds back to user terminal.
In some embodiments, the member management control device further include: third acquisition submodule, third handle submodule
Block and third implementation sub-module.Wherein, the third acquisition submodule is stored in institute in the member database for obtaining
There is the identity information of member user.The third processing submodule is used for the identity information of the target user and the member
The identity information of member user is compared in database, calculates intimate between the target user and the member user
Degree.The third implementation sub-module is used to when the cohesion between the target user and the member user be more than preset parent
When density threshold, judge that there is preset incidence relation between the member user and the target user.
Further, in the present embodiment, the member management control device further include: the 4th acquisition submodule, the 4th
Handle submodule and the 4th implementation sub-module.Wherein, the 4th acquisition submodule for obtain with the target user it
Between cohesion be more than preset cohesion threshold value the corresponding member's account information of member user.The fourth process submodule
It include the identity of the target user in member's sharing request for sending member's sharing request to the member user
Verification information.4th implementation sub-module is used to receive the confirmation shared information of member user's feedback, by the target
The identity information of user is associated with the corresponding member's account information of the member user, so that the target user shares the meeting
Member's permission of member user.
In order to solve the above technical problems, the embodiment of the invention also provides a kind of computer equipments.Referring specifically to Fig. 8,
Fig. 8 is computer equipment basic structure block diagram provided in an embodiment of the present invention.
As shown in figure 8, the schematic diagram of internal structure of computer equipment.As shown in figure 8, the computer equipment includes passing through to be
Processor, non-volatile memory medium, memory and the network interface of bus of uniting connection.Wherein, the computer equipment is non-easy
The property lost storage medium is stored with operating system, database and computer-readable instruction, can be stored with control information sequence in database
Column, when which is executed by processor, may make processor to realize a kind of member management control method.The calculating
The processor of machine equipment supports the operation of entire computer equipment for providing calculating and control ability.The computer equipment
It can be stored with computer-readable instruction in memory, when which is executed by processor, processor may make to hold
A kind of member management control method of row.The network interface of the computer equipment is used for and terminal connection communication.Those skilled in the art
Member is appreciated that structure shown in Fig. 8, only the block diagram of part-structure relevant to application scheme, composition pair
The restriction for the computer equipment that application scheme is applied thereon, specific computer equipment may include than as shown in the figure more
More or less component perhaps combines certain components or with different component layouts.
In the present embodiment, the processor obtains module 10, processing module 20 and execution module 30 for executing in Fig. 7
Concrete function, and the memory is stored with program code and Various types of data needed for executing above-mentioned module.The network connects
Mouth to the data between user terminal or server for transmitting.Memory in the present embodiment is stored with member management control dress
Program code and data needed for executing all submodules are set, server is capable of the program code of invoking server and data are held
The function of all submodules of row.
The computer equipment is based on face identification system, by obtaining the identity information of target user, by the target
The identity information of user is compared with the identity information for being stored in member user in member database, judges that the target is used
It whether there is preset incidence relation between family and the member user, if it exists preset incidence relation, then by the target
User is associated with the member user, and the target user is allowed to share member's permission of the member user.This
On the one hand kind of member management control device can solve user and membership is shared with relatives or when good friend is used alone, can not
It is easy and the problem of safely member's Authority sharing is used alone to relatives or friend, it on the other hand can also improve single meeting
The utilization rate of member's account mitigates the burden that member system is managed member's account.
The present invention also provides a kind of storage mediums for being stored with computer-readable instruction, and the computer-readable instruction is by one
When a or multiple processors execute, so that one or more processors execute member management controlling party described in any of the above-described embodiment
The step of method.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, which can be stored in a computer-readable storage and be situated between
In matter, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, storage medium above-mentioned can be
The non-volatile memory mediums such as magnetic disk, CD, read-only memory (Read-Only Memory, ROM) or random storage note
Recall body (Random Access Memory, RAM) etc..
It should be understood that although each step in the flow chart of attached drawing is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, can execute in the other order.Moreover, at least one in the flow chart of attached drawing
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, execution sequence, which is also not necessarily, successively to be carried out, but can be with other
At least part of the sub-step or stage of step or other steps executes in turn or alternately.
The above is only some embodiments of the invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of member management control method, which comprises the following steps:
Obtain the identity information of target user；
According to preset judging identity rule, judge whether is member user in the target user and preset member database
With preset incidence relation；
When the target user and the member user have the preset incidence relation, by the target user with it is described
Member user is associated, so that the target user shares member's permission of the member user.
2. member management control method according to claim 1, which is characterized in that the identity letter for obtaining target user
Before the step of breath, further includes:
Obtain the human face image information of target user；
According to the human face image information of the target user, determine whether the target user is member user；
When determining the target user is non-member user, the identity information of the target user is obtained.
3. member management control method according to claim 2, which is characterized in that whether the determination target user
The step of for member user, comprising:
Judge in the human face image information with the presence or absence of face；
If so, carrying out In vivo detection to the human face image information, judge whether the human face image information derives from living body people
Face；
If so, the human face image information of the target user is stayed with all member users being stored in the member database
Bottom image information is matched；
When the human face image information of the target user be stored in keeping on file for member user present in the member database
When image information matches, it is determined that the target user is member user, otherwise, it determines the target user is non-member's use
Family.
4. member management control method according to claim 3, which is characterized in that the face by the target user
Image information and all member users being stored in the member database keep on file image information the step of matching, packet
It includes:
Call the image information of keeping on file for all member users being stored in the member database；
Calculate the image of keeping on file of each member user in the human face image information and the member database of the target user
Similarity between information；
When the image of keeping on file of any one member user in the human face image information and the member database of the target user
When similarity between information is more than preset similarity threshold, it is determined that the target user is that the image information of keeping on file is corresponding
Member user.
5. according to member management control method described in claim 2-4 any one, which is characterized in that when determining the target
When user is member user, further includes:
According to the human face image information of the target user, the corresponding member of the target user is extracted in the member database
Account information simultaneously feeds back to user terminal.
6. member management control method according to claim 1, which is characterized in that the identity judgment rule is calculating institute
State the cohesion between target user and the member user；
It is described regular according to preset judging identity, judge the member user in the target user and preset member database
Whether there is the step of preset incidence relation, comprising:
Obtain the identity information for being stored in all member users in the member database；
The identity information of the target user is compared with the identity information of member user in the member database, is calculated
Intimate angle value between the target user and the member user；
When the cohesion between the target user and the member user is more than preset cohesion threshold value, the member is judged
There is preset incidence relation between user and the target user.
7. member management control method according to claim 6, which is characterized in that it is described by the target user with it is described
The step of member user is associated, comprising:
Obtain member's account corresponding more than the member user of preset cohesion threshold value with the cohesion between the target user
Family information；
Member's sharing request is sent to the member user, includes the identity of the target user in member's sharing request
Verification information；
The confirmation shared information for receiving member user's feedback, is associated with the member for the identity information of the target user
The corresponding member's account information of user, so that the target user shares member's permission of the member user.
8. a kind of member management control device characterized by comprising
Module is obtained, for obtaining the identity information of target user；
Processing module, for judging in the target user and preset member database according to preset judging identity rule
Member user whether there is preset incidence relation；
Execution module, for there is the incidence relation as the target user and the member user, by the target user
It is associated with the member user, so that the target user shares member's permission of the member user.
9. a kind of computer equipment, including memory and processor, it is stored with computer-readable instruction in the memory, it is described
When computer-readable instruction is executed by the processor, so that the processor executes 1 to 7 any one institute of the claims
The member management control method stated.
10. a kind of storage medium for being stored with computer-readable instruction, the computer-readable instruction is handled by one or more
When device executes, so that one or more processors execute member described in any one of the claims 1 to 7 claim
Management control method.
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| CN111079609A (en) * | 2019-12-09 | 2020-04-28 | 南京云尚网络科技有限公司 | Member management method based on facial recognition and autonomous learning |
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| CN111079609A (en) * | 2019-12-09 | 2020-04-28 | 南京云尚网络科技有限公司 | Member management method based on facial recognition and autonomous learning |
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