CN114240448A

CN114240448A - Characteristic value transfer method and related device

Info

Publication number: CN114240448A
Application number: CN202111641462.8A
Authority: CN
Inventors: 陶鑫
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2020-08-25
Filing date: 2020-08-25
Publication date: 2022-03-25

Abstract

The embodiment of the application discloses a characteristic value transfer method and a related device, wherein the method comprises the following steps: acquiring a characteristic value transfer request sent by a first participating main body; determining a second characteristic value account corresponding to the characteristic value transfer party in a second participating subject according to the first characteristic in the characteristic value transfer request; and indicating the second participating main body to transfer the characteristic value corresponding to the characteristic value transfer request in the second characteristic value account into the first characteristic value account through the target main body by the target main body. The first characteristic value account and the second characteristic value account belong to different participating main bodies respectively, and characteristic value transfer needs to be carried out across mechanisms, so that a target main body serving as a third party is introduced, and the target main body indicates the second participating main body to transfer the characteristic value corresponding to the characteristic value transfer request in the second characteristic value account into the first characteristic value account through the target main body, so that a characteristic value transfer function across mechanisms is realized.

Description

Characteristic value transfer method and related device

The application provides divisional application of Chinese patent application with application number 202010863438.8, application date of 8/25/2020 and invented name of 'a characteristic value transfer method and related device'.

Technical Field

The present application relates to the field of data processing, and in particular, to a method and a related apparatus for transferring a feature value.

Background

With the development of the internet, a user can transfer the characteristic value of the user through the terminal to obtain corresponding goods and services.

Since the user does not have the ability to transfer the feature values to other users, the transfer of the feature values is currently mainly achieved by a feature value management mechanism. Each user may register a feature value account with the feature value authority, and when a transfer demand of the user is acquired, the feature value authority may transfer the feature value in the feature value account of one user to the feature value account of another user based on the feature value account registered by each user in the authority.

However, the current characteristic value transfer mode is difficult to meet the diversity transfer requirements of users.

Disclosure of Invention

In order to solve the above technical problem, the present application provides a feature value transfer method and a related apparatus, which are used for meeting the diversity transfer requirement of a user.

The embodiment of the application discloses the following technical scheme:

in one aspect, an embodiment of the present application provides a method for transferring a feature value, where the method includes:

acquiring a characteristic value transfer request sent by a first participating main body, wherein the characteristic value transfer request comprises a first characteristic used for identifying a characteristic value transfer party; the characteristic value transfer party corresponds to a first characteristic value account in the first participating subject;

according to the first characteristic, determining a second characteristic value account corresponding to the characteristic value transfer party in a second participating subject; the first participating agent and the second participating agent are different characteristic value authorities;

and indicating the second participating main body to transfer the characteristic value corresponding to the characteristic value transfer request in the second characteristic value account to the first characteristic value account through the target main body.

In one aspect, an embodiment of the present application provides a feature value transfer apparatus, where the apparatus includes an obtaining unit, a determining unit, and a transferring unit:

the acquiring unit is used for acquiring a characteristic value transfer request sent by a first participating main body, wherein the characteristic value transfer request comprises a first characteristic used for identifying a characteristic value transfer party; the characteristic value transfer party corresponds to a first characteristic value account in the first participating subject;

the determining unit is used for determining a second characteristic value account corresponding to the characteristic value transfer party in a second participating subject according to the first characteristic; the first participating agent and the second participating agent are different characteristic value authorities;

the transfer unit is configured to instruct, by a target subject, the second participating subject to transfer a feature value corresponding to the feature value transfer request in the second feature value account to the first feature value account through the target subject.

In one aspect, an embodiment of the present application provides an apparatus for feature value transfer, where the apparatus includes a processor and a memory:

the memory is used for storing program codes and transmitting the program codes to the processor;

the processor is configured to perform the feature value transfer method of any one of the above aspects according to instructions in the program code.

In one aspect, the present application provides a computer-readable storage medium for storing a computer program for executing the feature value transfer method according to any one of the above aspects.

According to the technical scheme, the first participating body and the second participating body are involved in the characteristic value transfer scene, and the first participating body and the second participating body are different characteristic value management mechanisms. According to the characteristic value transfer request sent by the first participating subject, the first characteristic of the characteristic value transfer party and the first characteristic value account of the characteristic value transfer party in the first participating subject can be identified in the characteristic value transfer at this time, and the second characteristic value account of the characteristic value transfer party in the second participating subject can be determined through the first characteristic. The first characteristic value account and the second characteristic value account belong to different participating main bodies respectively, and characteristic value transfer needs to be carried out across mechanisms, so that a target main body serving as a third party is introduced, and the target main body indicates the second participating main body to transfer the characteristic value corresponding to the characteristic value transfer request in the second characteristic value account into the first characteristic value account through the target main body, so that a characteristic value transfer function across mechanisms is realized, direct interaction of information among the participating main bodies is avoided, and the information safety of a characteristic value interaction process is improved. And in the characteristic value transfer, only the user is required to provide the characteristics, so that the user can complete the transfer of the characteristic value of the cross mechanism without carrying hardware equipment, and the convenience of the characteristic value transfer is improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic view of an application scenario of a feature value transfer method according to an embodiment of the present application;

fig. 2 is a flowchart of a feature value transfer method according to an embodiment of the present application;

fig. 3 is a flowchart of a method for registering a feature value account according to an embodiment of the present application;

fig. 4 is a flowchart of a feature value transfer method according to an embodiment of the present application;

fig. 5 is a schematic diagram of a characteristic value transfer apparatus according to an embodiment of the present application;

fig. 6 is a block diagram of an apparatus for feature value transfer according to an embodiment of the present disclosure;

fig. 7 is a block diagram of a server according to an embodiment of the present application.

Detailed Description

Embodiments of the present application are described below with reference to the accompanying drawings.

The development of mobile payment provides convenience for the life of people, and a mobile payment user can transfer the characteristic value to other users by using a mobile terminal, such as a mobile phone, a computer and the like, so that corresponding articles, services and the like can be obtained at other users. In order to guarantee the property safety of users, a characteristic value management organization is produced. And the user registers the characteristic value account in the characteristic value management mechanism and stores the characteristic value in the corresponding characteristic value account. In the related art, information interaction is not performed between different characteristic value management mechanisms, when a user transfers a characteristic value to other users, the characteristic value can only be transferred to a characteristic value account in the same characteristic value management mechanism through a mobile terminal, and the characteristic value cannot be transferred to the characteristic value accounts of other characteristic value management mechanisms, so that the diversity transfer requirements of the user are difficult to meet.

In order to solve the above technical problem, the present application provides a feature value transfer method, which is introduced as a target subject of a third party. Various characteristic value management mechanisms all rely on the target main body, so the target main body can be used as a medium for information interaction between different characteristic value management mechanisms, and the characteristic value transfer between different characteristic value management mechanisms is realized.

It will be appreciated that the method may be applied to a processing device having a feature value transfer function, for example, a server having a feature value transfer function. The method can be independently operated through the server, can also be applied to a network scene of communication between the terminal equipment and the server, and can be operated through cooperation between the terminal equipment and the server. The terminal device may be a computer, a Personal Digital Assistant (PDA), a tablet computer, or the like. The server may be understood as an application server, or may also be a Web server, and in actual deployment, the server may be an independent physical server, or may be a server cluster or a distributed system formed by a plurality of physical servers. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the application is not limited herein. Meanwhile, in a hardware environment, the technology has been implemented in the following environments: an ARM architecture processor, an X86 architecture processor; in a software environment, the technology has been implemented in the following environments: android platform, Windows xp and operating systems or Linux operating systems.

In addition, the present application relates to Artificial Intelligence (AI) technology. Artificial intelligence is a theory, method, technique and application system that uses a digital computer or a machine controlled by a digital computer to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use the knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence. Artificial intelligence is the research of the design principle and the realization method of various intelligent machines, so that the machines have the functions of perception, reasoning and decision making.

The artificial intelligence technology is a comprehensive subject and relates to the field of extensive technology, namely the technology of a hardware level and the technology of a software level. The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.

Computer Vision technology (CV) Computer Vision is a science for researching how to make a machine "see", and further refers to that a camera and a Computer are used to replace human eyes to perform machine Vision such as identification and measurement on a target, and further image processing is performed, so that the Computer processing becomes an image more suitable for human eyes to observe or is transmitted to an instrument to detect. As a scientific discipline, computer vision research-related theories and techniques attempt to build artificial intelligence systems that can capture information from images or multidimensional data. Computer vision techniques typically include image processing, image recognition, image semantic understanding, image retrieval, OCR, video processing, video semantic understanding, video content/behavior recognition, three-dimensional object reconstruction, 3D techniques, virtual reality, augmented reality, synchronized positioning and mapping, among other techniques.

Key technologies for Speech Technology (Speech Technology) are automatic Speech recognition Technology (ASR) and Speech synthesis Technology (TTS), as well as voiceprint recognition Technology. The computer can listen, see, speak and feel, and the development direction of the future human-computer interaction is provided, wherein the voice becomes one of the best viewed human-computer interaction modes in the future.

Natural Language Processing (NLP) is an important direction in the fields of computer science and artificial intelligence. It studies various theories and methods that enable efficient communication between humans and computers using natural language. Natural language processing is a science integrating linguistics, computer science and mathematics. Therefore, the research in this field will involve natural language, i.e. the language that people use everyday, so it is closely related to the research of linguistics. Natural language processing techniques typically include text processing, semantic understanding, machine translation, robotic question and answer, knowledge mapping, and the like.

Machine Learning (ML) is a multi-domain cross discipline, and relates to a plurality of disciplines such as probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and the like. The special research on how a computer simulates or realizes the learning behavior of human beings so as to acquire new knowledge or skills and reorganize the existing knowledge structure to continuously improve the performance of the computer. Machine learning is the core of artificial intelligence, is the fundamental approach for computers to have intelligence, and is applied to all fields of artificial intelligence. Machine learning and deep learning generally include techniques such as artificial neural networks, belief networks, reinforcement learning, transfer learning, inductive learning, and formal education learning.

In the embodiment of the present application, the recognition of the first feature may be implemented by computer vision technology, voice processing technology, natural language processing technology, machine learning technology, and the like in artificial intelligence.

In order to facilitate understanding of the technical solution of the present application, the feature value transfer method provided in the embodiment of the present application will be described below with reference to an actual application scenario.

Referring to fig. 1, the figure is a schematic view of an application scenario of a feature value transfer method provided in an embodiment of the present application. In this practical application scenario, the processing device is the target subject server 101, and the feature value is used to identify a virtual resource, which may include electronic funds. When the virtual resources are transferred, the virtual resources held by the characteristic value transfer-out party and the characteristic value transfer-in party are changed.

The characteristic value transfer party registers a first characteristic value account in a first participating subject, the account has no virtual resources, the characteristic value transfer party registers a second characteristic value account in a second participating subject, the account has 10 virtual resources, and the first participating subject and the second participating subject are different characteristic value management mechanisms.

As shown in fig. 1, the first participating body is a payment class client APP1 in the mobile terminal, and the second participating body is a payment class client APP2 in the mobile terminal. When the feature value transfer party transfers virtual resources, the target subject server 101 obtains a virtual resource transfer request sent by the APP1, where the transfer request carries a first feature for identifying the feature value transfer party, and the first feature is, for example, a face feature of the feature value transfer party. The feature value is transferred to a first feature value account of the party in the first participating subject.

The target subject server 101 can determine the second characteristic value account of the characteristic value transfer party according to the first characteristic, so that the characteristic value transfer party can transfer the characteristic value to the second characteristic value account of the characteristic value transfer party conveniently without carrying hardware equipment such as a mobile terminal and the like, and virtual resources in the second characteristic value account are transferred to the first characteristic value account. Target subject server 101 instructs APP1 to transfer the corresponding virtual resource in the virtual resource transfer request, e.g., 5 virtual resources, to the first feature value account.

The target agent server 101 transfers 5 virtual resources in the second feature value account to the target agent server 101, and then the target agent server 101 transfers 5 virtual resources to the first feature value account, the balance of the virtual resources in the first feature value account changes from 0 to 5, and the balance of the virtual resources in the second feature value account changes from 10 to 5, so that the feature value transfer process between the first feature value account and the second feature value account is completed.

The feature value transfer between two feature value accounts registered in different feature value management mechanisms can be realized through the target subject server 101 as a third party, and various feature value management mechanisms rely on the target subject server 101, so that the target subject server 101 can be used as a medium for information interaction between different feature value management mechanisms, the direct interaction of information between different feature value management mechanisms is avoided, and the information security in the feature value interaction process is improved.

Next, a method for transferring a feature value provided in an embodiment of the present application will be described with reference to the drawings. Referring to fig. 2, fig. 2 is a flowchart of a feature value transfer method provided by an embodiment of the present application, where the method is executed by a computer device, and the computer device may be the target subject server 101 in fig. 1; the method comprises the following steps:

s201: and acquiring a characteristic value transfer request sent by the first participating main body.

The feature value transfer request includes a first feature identifying a feature value transferor. The characteristic value transfer party corresponds to a first characteristic value account in the first participating subject. The corresponding relation between the first characteristic value account and the first participating subject may be pre-stored in the target subject, and when the target subject obtains the characteristic value transfer request sent by the first participating subject, the first characteristic value account may be obtained through the corresponding relation. Still alternatively, the feature value transfer request may further include, in addition to the first feature for identifying the feature value transfer party, a first feature value account corresponding to the feature value transfer party in the first participating subject, so that the target subject transfers the feature value of the feature value transfer party to the first feature value account.

With the development of internet technology, the number of mobile payment users is increasing, and the demand of users is also increasing. In the eigenvalue transfer corresponding to the eigenvalue transfer request, the party that needs to transfer the eigenvalue is the eigenvalue transfer party, and the party that needs to receive the eigenvalue transferred by the eigenvalue transfer party is the eigenvalue transfer party. In the embodiment of the present application, the feature value transferring party may be a user, or represent a person in charge of a company or an enterprise, and the feature value transferring party may also be a user, or represent a person in charge of a company or an enterprise. The feature value transfer may change the feature values held by the feature value transferring party and the feature value transferring party, for example, if the user a uses the virtual resource to purchase the banana of the user B, the user a is the feature value transferring party, the user B is the feature value transferring party, and the virtual resources held by the user a and the user B are both changed.

In order to meet the transfer requirements of user diversity, the embodiment of the application provides a cross-organization feature value transfer scheme, and therefore, a target subject is introduced to serve as an intermediate medium between different feature value organizations, so that feature value transfer registered between feature value accounts of the different feature value organizations is achieved.

In order to make those skilled in the art better understand the technical solutions provided in the embodiments of the present application, the target agent, the feature value management mechanism, and the feature value will be described below.

The target subject is a management authority capable of managing at least two feature value management authorities, thereby realizing feature value transfer between feature value accounts of at least two feature value management authorities. For example, in this embodiment, the target principal can manage at least a first participating principal and a second participating principal, which are different feature value management mechanisms.

The feature value management mechanism is a mechanism that helps a user to implement functions of feature value transfer, storage, and the like, such as a company that develops a wallet-like application program, and the like. The user may register a characteristic value account with a characteristic value authority that manages the characteristic value account to implement storage, transfer, and other functions for the user. For example, in this embodiment, the feature value transferring party registers a first feature value account with a first participating subject, and the feature value transferring party registers a second feature value account with a second participating subject. For example, the characteristic value account may be a string of symbols that uniquely identifies the characteristic value account.

A characteristic value is a representation of an asset, which may be a virtual asset, or may have a physical asset, a financial product, etc. to which it is paired. The user can transfer the characteristic value held by the user to other users, so that the goods, the services and the like of other users can be obtained. The embodiment of the present application does not specifically limit the expression form of the feature value, for example, the feature value may be electronic money, and the electronic money is money paid in an electronic manner, such as a stored value card, a bank card, and the like. As another example, the characteristic value may also be a virtual resource.

When the characteristic value transfer party wants to transfer the characteristic value to the characteristic value transfer party, the first participating main body sends a characteristic value transfer request to the target main body, wherein the characteristic value transfer request comprises a first characteristic used for identifying the characteristic value transfer party. Wherein the characteristic is to collect information that can characterize the identity. For example, when the first feature is a face feature of the feature value transfer party, the target principal may obtain a feature value account of the feature value transfer party, such as a second feature value account of the feature value transfer party registered with a second participating principal, by the face feature of the feature value transfer party.

For example, when the application program developed by the first participating subject includes a module (such as a face scanning terminal, scanning software, and the like) having an information acquisition function, after agreement of the feature value transfer party is obtained, the face feature of the feature value transfer party is obtained by scanning the face image information of the feature value transfer party.

Due to the fact that the feature extraction modules are different, the extracted features are different in standard, and the features extracted by the same information by different feature extraction modules are possibly different, so that the accuracy of feature identification is low. The unified feature extraction module may be located in the target subject, and may also be located in an application program developed by the first participating subject or the second participating subject. For example, a first participating subject may send a feature extraction request to a target subject, after the target subject obtains the feature extraction request, the target subject may allow the first participating subject to invoke a feature extraction module in the target subject, and then the first participating subject extracts, through the feature extraction module in the target subject, information of a feature transfer party acquired by the first participating subject, so as to obtain a first feature of the feature transfer party. The characteristics are extracted through the unified characteristic extraction module, the standards of the extracted characteristics are the same, and therefore the accuracy of first characteristic identification is improved.

S202: and according to the first characteristic, determining a corresponding second characteristic account of the characteristic value transfer party in the second participation body.

The first participating agent and the second participating agent are different characteristic value authorities.

After the target subject obtains the feature value transfer request sent by the first participating subject, the feature value account of the feature value transfer party, namely the second feature value account registered by the feature value transfer party in the second participating subject, is determined according to the first feature in the feature value transfer request. Therefore, the second characteristic value account of the characteristic value transfer party can be obtained without carrying hardware equipment such as a mobile terminal and the like by the characteristic value transfer party, and the characteristic value in the second characteristic value account is transferred to the first characteristic value account.

In order to determine the corresponding feature value account according to the features, the features collected in advance may be added to the feature library after the agreement between the feature value transfer party and the feature value transfer party is obtained, and the features in the feature library may be obtained by extracting information of the user (e.g., the feature value transfer party or the feature value transfer party) through the feature extraction module in the target subject. Specifically, when a user registers a feature value account through a participating subject, the information of the user may be collected by the participating subject, and then extracted as a feature by a unified feature extraction module. The information of a plurality of users is extracted through the unified feature extraction module, the feature extraction standards are the same, the subsequent features are comparable when being compared, and the reliability of the similarity result is improved.

It is understood that in the specific implementation of the present application, the data related to the information of the user and the like need to obtain the user permission or consent when the above embodiments of the present application are applied to specific products or technologies, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related countries and regions.

When the target subject determines the second feature value account according to the first feature of the feature value transfer party, the first feature may be compared with the features in the feature library, and if the similarity between the first feature and the second feature in the feature library satisfies the threshold condition, the feature value account corresponding to the second feature may be determined as the feature value account of the feature value transfer party. The embodiment of the present application does not specifically limit the comparison method between the characteristic values. For example, the vector inner product between the first feature and each feature in the feature library is calculated. If the vector inner product value of the first feature and the second feature is higher than the threshold value, the similarity of the first feature and the second feature meets the threshold value condition.

The embodiment of the present application does not specifically limit the correspondence between the features and the feature value accounts. For example, when the second feature is in a one-to-one relationship with the feature value account, the feature value account corresponding to the second feature is the second feature value account, and the second feature value account is the feature value account of the feature value transfer party. For another example, when the second feature is in a one-to-many relationship with the feature value accounts, the feature value account corresponding to the second feature includes the second feature value account and other feature value accounts, and one feature value account, such as the second feature value account, is determined from among the feature value accounts corresponding to the second feature.

S203: and through the target main body, indicating the second participating main body to transfer the characteristic value corresponding to the characteristic value transfer request in the second characteristic value account into the first characteristic value account through the target main body.

The first participating agent and the second participating agent both trust the target agent, so the target agent can act as an intermediary between the first participating agent and the second participating agent. And after the target subject determines a second characteristic value account through the first characteristic, the target subject indicates a second participating subject to transfer the characteristic value, the second participating subject transfers the characteristic value in the corresponding characteristic value transfer request from the second characteristic value account to the target subject, and the target subject transfers the characteristic value to the first characteristic value account. The characteristic value is transferred from the second characteristic value account to the first characteristic value account through the target subject, namely, the characteristic value transfer between different characteristic value management mechanisms is realized through the target subject.

Although the first participating agent and the second participating agent belong to different feature value authorities, no direct information interaction is performed between the two. However, by introducing the target subject, the target subject is used as a medium for information transfer between the first participating subject and the second participating subject, so that the first participating subject and the second participating subject can indirectly exchange information through the target subject, and therefore, the transfer of characteristic values between different characteristic value mechanisms is completed. Meanwhile, the first participating main body and the second participating main body do not directly carry out information interaction, and the information safety of the characteristic value interaction process is improved.

The characteristic value transfer method provided by the embodiment of the application is not only suitable for the characteristic value transfer between different characteristic value management mechanisms, but also suitable for the characteristic value transfer in the same characteristic value management mechanism. The following is a detailed description.

The feature value transfer party registers not only the second feature value account with the second participating party but also a third feature value account with the first participating party. After the target principal determines a plurality of characteristic value accounts of the characteristic value transfer party according to the first characteristic, the plurality of characteristic value accounts are, for example, a second characteristic value account and a third characteristic value account. The target main body returns information such as a plurality of characteristic value accounts to the first participating main body, and waits for account confirmation information returned by the first participating main body. After the target subject obtains the account confirmation information returned by the first participating subject, if the account confirmation information indicates that the feature value in the second feature value account is transferred to the first feature value account, the target subject indicates the second participating subject to transfer the feature value corresponding to the feature value transfer request from the second feature value account to the target subject, and then the target subject transfers the feature value to the first feature value account. If the account confirmation information indicates that the feature value in the third feature value account is transferred to the first feature value account, the target subject indicates that the first participating subject directly transfers the feature value in the third feature value account to the first feature value account without transferring the feature value through the target subject.

When the characteristic value account of the characteristic value transfer party and the characteristic value account of the characteristic value transfer party belong to the same characteristic value management mechanism, the target subject instructs the characteristic value management mechanism to transfer the characteristic value in the mechanism. When the characteristic value account of the characteristic value transfer party and the characteristic value account of the characteristic value transfer party do not belong to the same characteristic value management mechanism, the target main body instructs one management characteristic value management mechanism to transfer the characteristic value to the other characteristic value management mechanism through the target main body. Therefore, no matter how many characteristic value accounts are provided for the characteristic value transfer party, whether the characteristic value account of the characteristic value transfer party and the characteristic value account of the characteristic value transfer party belong to the same management mechanism or not can be realized through the introduced target subject.

When a user has a plurality of feature value accounts, the plurality of feature value accounts can be corresponding to the features of the user, so that the number of the features in the feature library is reduced, the total calculation amount is reduced, and the feature comparison time is shortened. For example, each time a user registers, the user collects the characteristics of the user, stores the characteristics in a characteristic library, and records the corresponding relationship between the characteristics and a characteristic value account, where the characteristics and the characteristic value account are in one-to-one correspondence. Because a user may register a plurality of feature value accounts in one participating subject or a plurality of participating subjects, the similarity between features in the feature library can be calculated, the features of which the similarity meets the threshold condition characterize the user, the features of which the similarity meets the threshold condition are merged, and the corresponding relationship between the merged features and the feature value account corresponding to the features before merging is recorded, that is, the feature value account of the user and the plurality of feature value accounts of the user establish a one-to-many corresponding relationship according to the similarity. By uniformly managing the user's feature value accounts, the number of the user's features in the feature library can be reduced, thereby reducing the calculation amount of subsequent feature comparison.

The time for comparing the features can be shortened by reducing the number of the features in the feature library, and the feature library can be divided and then searched in a targeted manner, so that the total calculated amount of feature comparison is reduced, and the time for comparing the features is shortened.

For example, the feature library may be partitioned according to different properties. The embodiment of the present application does not specifically limit the dividing manner of the feature library. For example, the features in the feature library are divided according to the participating subject to which the feature value account belongs, such as the feature library corresponding to the participating subject 1 and the feature library corresponding to the participating subject 2. For another example, the features in the feature library are divided according to the user gender identifiers corresponding to the features, such as a male feature library and a female feature library, after the first feature is obtained, the gender of the first feature is further judged, and when the first feature belongs to a female, the comparison is only performed in the female feature library, and the comparison is not performed in the male feature library, so that the features are pertinently compared. For another example, the features in the feature library are divided into a first class library according to the four-digit ID behind the user ID card corresponding to the features.

As time and space change, certain features of the user, such as facial features, change. In order to ensure the accuracy of the feature comparison result, the user can update the features of the user in the feature library. Specifically, the target subject obtains an update request for the second feature, where the update request includes the feature to be updated, and then updates the second feature stored in the feature library to the feature to be updated.

In order to improve the security of the characteristic value transfer, when the user registers the account information of the characteristic value, after obtaining the agreement of the user, the user can also upload the identity of the user, such as an identity card number, a mobile phone number and the like. Before the second participating main body transfers the characteristic value corresponding to the characteristic value transfer request to the first characteristic value account through the target main body, the characteristic value transfer party can also perform secondary identity authentication through the identity. For example, the target subject obtains identity authentication information including an identity identifier to be determined, such as a message including a mobile phone number of a feature value transfer party. And then the target main body compares the identification to be determined with the identity identification corresponding to the second characteristic value account, and if the identification to be determined is the same as the identity identification, the second participating main body transfers the characteristic value corresponding to the characteristic value transfer request to the first characteristic value account through the target main body.

In order to improve the security of the feature value transfer and avoid the attack of a malicious user, for example, the malicious user impersonates the owner of the feature value account using an artificial mask or an image, the live body detection may be performed on the feature value transfer party after the first participating subject sends the feature value transfer request. Specifically, the target subject instructs the first participating subject to perform the live body detection on the feature value transferee. For example, the living body detection is realized by adopting technologies such as an artificial intelligence technology, a big data intelligent wind control technology, a 3D camera technology and the like. After the living body detection is passed, the target subject determines a corresponding second characteristic value account of the characteristic value transfer party in the second participating subject according to the first characteristic. For example, when the feature is a face feature, by performing live body detection on the feature value transfer party, it is possible to effectively identify an unconventional face portion such as a non-live body, a non-face, an artificial face portion, and a face mask, thereby preventing a malicious user from impersonating the owner of the feature value account and improving the security of the feature value account.

The security of the feature during transmission should be guaranteed in view of the feature being able to embody the user's personal information. Before the first participating subject sends the feature value transfer request including the first feature and the first feature value account to the target subject, the first feature can be encrypted to ensure the security of data transmission, and the signature is generated while encryption to ensure the integrity of the first feature, so that the security of the feature in the transmission process is improved.

After obtaining the agreement, the target subject may obtain registration information for registering the feature value account by the participating subject, where the account registration information at least includes the feature value account when the user is registered and features extracted by the user through the unified feature extraction module. And storing the corresponding characteristics in a characteristic library according to the account registration information of the user, and recording that the characteristics of the user have a corresponding relation with the characteristic value account registered by the user.

The creation of a feature library by a participating agent is described below with reference to fig. 3. Referring to fig. 3, the figure is a flowchart of a feature value account registration method according to an embodiment of the present application.

S401: and (5) information acquisition.

After obtaining the agreement, the characteristics of the user are collected through a module capable of obtaining information in the participating subject. For example, the participating subject has a face scanning module, and face image information of the user is acquired through the face scanning module.

S402: and (6) checking the living body.

When the user's in-vivo verification is successful, feature extraction is then performed.

S403: and calling a feature extraction module of the target subject to extract features.

After the module for acquiring the information successfully verifies the living body and successfully acquires the face information of the user, the feature extraction module in the target main body is called to extract features from the acquired information.

S404: the features are encrypted and a signature is generated.

The encryption can ensure that the characteristics are not stolen, and the signature can ensure that the characteristics are not tampered, thereby further improving the security of the user's characteristic value account.

S405: and sending the encrypted features, signatures, account registration information and the like to the target subject.

S406: the target subject decrypts the feature and verifies that the signature was successful.

S407: the target subject adds the features into a feature library and records the corresponding relationship between the information and the feature value account.

After verifying the integrity and authenticity of the features, the target main body adds the features into the feature library according to the account registration message, and records the corresponding relation between the features and the feature value account so as to obtain the corresponding feature value account according to the features in the following.

The feature update in the feature library is similar to the user registration method described above, and is not described herein again.

The characteristic value transfer method provided by the embodiment of the application can be applied to many popular scenes, such as bus and subway payment, highway payment, parking lot payment, supermarket shopping payment and the like. In order to enable those skilled in the art to better understand the technical solution provided by the embodiment of the present application, a description will be given below of a feature value transfer method provided by the embodiment of the present application in combination with an actual application scenario and a subway payment scenario. In the practical application scenario, a user a transfers a characteristic value to a user B, wherein the user a is a characteristic value transfer party and is a user taking a subway, the user B is a characteristic value transfer party and is a company for collecting the passenger's subway taking fee, and the characteristic value is a virtual resource.

User a has two characteristic value accounts, a third characteristic value account registered with the first participating subject and a second characteristic value account registered with the second participating subject, respectively, and user B registers the first characteristic value account with the first participating subject. Wherein the first participating agent and the second participating agent are two different feature value management mechanisms, for example, the first participating agent develops the payment class application APP1, and the second participating agent develops the payment class application APP 2. The user B installs the APP2 in a device capable of acquiring user features, such as a scanning terminal with face image information acquisition.

Referring to fig. 4, the figure is a flowchart of a feature value transfer method provided in an embodiment of the present application.

S501: the face scanning terminal in the APP1 acquires face image information of the user a.

When the user A transfers the virtual resources to the user B, after obtaining the agreement, the face scanning terminal provided by the user B scans the face image information of the user A. The user A does not need to carry hardware equipment such as a mobile terminal to scan the two-dimensional code of the user B, input the account ID of the user B and the like, but the face image information of the user B is scanned through the face scanning terminal of the user B, so that the user B can obtain the real account of the user A, and further the virtual resources of the user A are obtained according to the real account.

S502: the face scanning terminal in APP1 instructs user a to perform live body verification.

In the scanning process, the user A performs living body identification verification according to the prompt of the face scanning terminal, if the verification is successful, the S503 is continued, otherwise, the process is ended. The safety of the virtual resource transfer process can be improved through living body authentication verification, so that the characteristic value account of a user is guaranteed.

And S503, the APP1 extracts the face features of the user A.

After agreement is obtained, the face scanning terminal obtains face image information of the user A, the APP1 calls a face feature extraction module interface in the target subject, and the face feature of the user A is extracted through the face feature extraction module of the target subject.

S504: the APP1 encrypts the extracted facial features and generates a signature.

S505: the APP1 sends the encrypted face features and signature to the target subject.

Meanwhile, the APP1 may also send information such as account registration information to the target principal.

S506: and the target subject decrypts the face features, and compares the face features identical to the face features of the user A in the feature library after the signature is verified successfully.

And after the target subject successfully verifies the signature, the face features are decrypted, each secondary library in the feature library is traversed in parallel, the inner product of the face features in each secondary library and the face features of the user A is calculated, and all the face features with the inner product value higher than the threshold value are obtained.

S507: and the target main body acquires account registration information according to the face features successfully compared.

And acquiring corresponding characteristic value accounts according to the face characteristic information, specifically a second characteristic value account and a third characteristic value account. And meanwhile, account registration information corresponding to the user A characteristic value account can be obtained. The account registration information may include a second feature value account, a third feature value account, APP1, APP2, user a's cell phone number.

S508: the target principal returns account registration information to the APP1 and displays the account registration information of user a on the face scanning terminal.

Specifically, the second characteristic value account and the corresponding APP1, and the third characteristic value account and the corresponding APP2, wherein a mask is added to the characteristic value account when displaying, so as to ensure the information security of the user a.

S509: and sending the selected account information.

The user A checks whether the account registration information displayed by the face scanning terminal has a characteristic value account, if so, the process is continued; if not, the flow ends. And if the face scanning terminal has the characteristic value account of the user A, the user A selects the characteristic value account which is required to be used for virtual resource transfer, and executes the transfer confirmation operation. In order to ensure the safety of the user's characteristic value account, before the confirmation transfer operation is performed, the user a may input the mobile phone number of the user a in the face scanning terminal, and the operation of transferring the characteristic value is performed after the mobile phone number passes verification.

S510: the APP1 determines whether the participating subject of the feature value account selected by the user a is the same as the APP1, and if so, executes S511, and otherwise, executes S512.

S511: if so, the APP1 performs a characteristic value transfer within the mechanism.

If the user a selects the third feature value account, and both the third feature value account and the first feature value account belong to the APP1, the APP1 transfers the corresponding feature value in the third feature value account to the first feature value account.

S512: and if the difference is not the same, the characteristic value is transferred by the target main body across mechanisms.

If the user a selects the second feature value account, and the second feature value account and the first feature value account correspond to APP2 and APP1, respectively, the APP2 transfers the corresponding feature value in the second feature value account to the target subject, and then transfers the corresponding feature value to the first feature value account through the target subject.

When a user A takes a subway, due to the fact that an underground network is poor, the user A may not be able to acquire an account of the user B through the network, the method of the embodiment of the application does not require the user A to carry a mobile phone and other hardware devices to pay, and also does not require the hardware devices of the user A to have the conditions of Near-field communication (NFC), smooth network and the like, and the user A can complete the payment of subway expenses through own characteristics on a scanning terminal provided by the user B. No matter whether the characteristic value accounts of the user A and the user B belong to the same participation subject or not, the target subject can transfer the characteristic value from the characteristic value account of the user A to the characteristic value account of the user B, and the diversity transfer requirement of the user A is met.

Based on the feature value transfer method provided in the foregoing embodiment, an embodiment of the present application further provides a feature value transfer device, referring to fig. 5, where fig. 5 is a schematic diagram of the feature value transfer device provided in the embodiment of the present application, and the device 600 includes an obtaining unit 601, a determining unit 602, and a transferring unit 603:

the obtaining unit 601 is configured to obtain a feature value transfer request sent by a first participating subject, where the feature value transfer request includes a first feature for identifying a feature value transfer party; the characteristic value transfer party corresponds to a first characteristic value account in the first participating subject;

the determining unit 602 is configured to determine, according to the first feature, a second feature value account corresponding to the feature value transfer party in a second participating subject; the first participating agent and the second participating agent are different characteristic value authorities;

the transfer unit 603 is configured to instruct, by a target subject, the second participating subject to transfer a feature value corresponding to the feature value transfer request in the second feature value account to the first feature value account through the target subject.

As a possible implementation manner, the apparatus further includes an extraction unit, configured to obtain a feature extraction request; and performing feature extraction on the information acquired by the first participating main body through a unified feature extraction module to obtain the first feature.

As a possible implementation manner, the determining unit 602 is specifically configured to compare similarities between the first feature and features in the feature library; the features in the feature library are obtained by performing feature extraction on information through the feature extraction module, and the features in the feature library have corresponding feature value accounts;

if the similarity between the first feature and a second feature in the feature library meets a threshold condition, determining a feature value account corresponding to the second feature as a feature value account of the feature value transfer party; the feature value accounts corresponding to the second features at least comprise the second feature value account.

As a possible implementation manner, the apparatus further includes a computing unit and a merging unit:

the calculation unit is used for calculating the similarity among the features in the feature library;

and the merging unit is used for merging the features of which the similarity meets the threshold condition, wherein the merged features have the feature value account corresponding to the features before merging.

As a possible implementation manner, the apparatus further includes a registration unit, configured to acquire account registration information; the account registration information comprises registered characteristic value accounts and characteristics extracted by the characteristic extraction module; and storing the characteristics into the characteristic library according to the account registration information, and recording the corresponding relation with the characteristic value account.

As a possible implementation manner, the account registration information further includes a user identity; the device also comprises a secondary identity authentication unit, which is used for indicating the second participating main body to acquire identity authentication information comprising an identity mark to be determined before the characteristic value corresponding to the characteristic value transfer request in the second characteristic value account is transferred to the first characteristic value account through the target main body; comparing the pending identity with the user identity corresponding to the second characteristic value account; and if the characteristic values are the same as the characteristic values of the first characteristic value account, the step of indicating the second participating subject to transfer the characteristic values corresponding to the characteristic value transfer request in the second characteristic value account to the first characteristic value account through the target subject is executed.

As a possible implementation manner, the apparatus further includes an updating unit, configured to obtain an update request for the second feature; the updating request comprises the characteristics to be updated; and updating the second feature in the feature library to be the feature to be updated.

As a possible implementation manner, if a plurality of feature value accounts of the feature value transfer party are determined according to the first feature, the plurality of feature value accounts include a second feature value account and a third feature value account corresponding to the feature value transfer party in the first participating subject; the device further comprises a judging unit, configured to send the plurality of feature value accounts to the first participating subject before the instruction that the second participating subject transfers a feature value corresponding to the feature value transfer request in the second feature value account to the first feature value account through the target subject; acquiring account confirmation information returned by the first participating main body; if the account confirmation information indicates the second characteristic value account, a step of indicating the second participating subject to transfer the characteristic value corresponding to the characteristic value transfer request in the second characteristic value account to the first characteristic value account through the target subject by a target subject is executed; and if the account confirmation information indicates the third characteristic value account, indicating the first participating subject to transfer the characteristic value corresponding to the characteristic value transfer request in the third characteristic value account to the first characteristic value account.

As a possible implementation, the characteristic value is used to identify a virtual resource.

As a possible implementation manner, the apparatus further includes a living body detection unit configured to instruct the first participating subject to perform living body detection on the feature value transferring party after the feature value transferring request sent by the first participating subject is acquired; after the living body detection is passed, the step of determining a corresponding second feature value account of the feature value transfer party in a second participating subject according to the first feature is executed.

By adopting the characteristic value transfer device provided by the embodiment of the application, a first participating main body and a second participating main body are involved in a characteristic value transfer scene, and the first participating main body and the second participating main body are different characteristic value management mechanisms. According to the characteristic value transfer request sent by the first participating subject, the first characteristic of the characteristic value transfer party and the first characteristic value account of the characteristic value transfer party in the first participating subject can be identified in the characteristic value transfer at this time, and the second characteristic value account of the characteristic value transfer party in the second participating subject can be determined through the first characteristic. The first characteristic value account and the second characteristic value account belong to different participating main bodies respectively, and characteristic value transfer needs to be carried out across mechanisms, so that a target main body serving as a third party is introduced, and the target main body indicates the second participating main body to transfer the characteristic value corresponding to the characteristic value transfer request in the second characteristic value account into the first characteristic value account through the target main body, so that a characteristic value transfer function across mechanisms is realized, direct interaction of information among the participating main bodies is avoided, and the information safety of a characteristic value interaction process is improved. And in the characteristic value transfer, only the user is required to provide the characteristics, so that the user can complete the transfer of the characteristic value of the cross mechanism without carrying hardware equipment, and the convenience of the characteristic value transfer is improved.

The embodiment of the application also provides a device for characteristic value transfer, which is described below with reference to the attached drawings. Referring to fig. 6, an embodiment of the present application provides a device, which may also be a terminal device, where the terminal device may be any intelligent terminal including a mobile phone, a tablet computer, a Personal Digital Assistant (PDA), a sales terminal (POS), a vehicle-mounted computer, and the terminal device is taken as a mobile phone as an example:

fig. 6 is a block diagram illustrating a partial structure of a mobile phone related to a terminal device provided in an embodiment of the present application. Referring to fig. 6, the handset includes: radio Frequency (RF) circuit 710, memory 720, input unit 730, display unit 740, sensor 750, audio circuit 760, wireless fidelity (WiFi) module 770, processor 780, and power supply 790. Those skilled in the art will appreciate that the handset configuration shown in fig. 6 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The following describes each component of the mobile phone in detail with reference to fig. 6:

the RF circuit 710 may be used for receiving and transmitting signals during information transmission and reception or during a call, and in particular, receives downlink information of a base station and then processes the received downlink information to the processor 780; in addition, the data for designing uplink is transmitted to the base station. In general, the RF circuit 710 includes, but is not limited to, an antenna, at least one Amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuit 710 may also communicate with networks and other devices via wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Message Service (SMS), and the like.

The memory 720 may be used to store software programs and modules, and the processor 780 may execute various functional applications and data processing of the cellular phone by operating the software programs and modules stored in the memory 720. The memory 720 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 720 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The input unit 730 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the cellular phone. Specifically, the input unit 730 may include a touch panel 731 and other input devices 732. The touch panel 731, also referred to as a touch screen, can collect touch operations of a user (e.g. operations of the user on or near the touch panel 731 by using any suitable object or accessory such as a finger, a stylus, etc.) and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 731 may include two portions of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts it to touch point coordinates, and sends the touch point coordinates to the processor 780, and can receive and execute commands from the processor 780. In addition, the touch panel 731 may be implemented by various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. The input unit 730 may include other input devices 732 in addition to the touch panel 731. In particular, other input devices 732 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.

The display unit 740 may be used to display information input by the user or information provided to the user and various menus of the mobile phone. The Display unit 740 may include a Display panel 741, and optionally, the Display panel 741 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch panel 731 can cover the display panel 741, and when the touch panel 731 detects a touch operation on or near the touch panel 731, the touch operation is transmitted to the processor 780 to determine the type of the touch event, and then the processor 780 provides a corresponding visual output on the display panel 741 according to the type of the touch event. Although in fig. 6, the touch panel 731 and the display panel 741 are two independent components to implement the input and output functions of the mobile phone, in some embodiments, the touch panel 731 and the display panel 741 may be integrated to implement the input and output functions of the mobile phone.

The handset may also include at least one sensor 750, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor that adjusts the brightness of the display panel 741 according to the brightness of ambient light, and a proximity sensor that turns off the display panel 741 and/or a backlight when the mobile phone is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

Audio circuitry 760, speaker 761, and microphone 762 may provide an audio interface between a user and a cell phone. The audio circuit 760 can transmit the electrical signal converted from the received audio data to the speaker 761, and the electrical signal is converted into a sound signal by the speaker 761 and output; on the other hand, the microphone 762 converts the collected sound signal into an electric signal, converts the electric signal into audio data after being received by the audio circuit 760, and then processes the audio data output processor 780, and then transmits the audio data to, for example, another cellular phone through the RF circuit 710, or outputs the audio data to the memory 720 for further processing.

WiFi belongs to short-distance wireless transmission technology, and the mobile phone can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 770, and provides wireless broadband Internet access for the user. Although fig. 6 shows the WiFi module 770, it is understood that it does not belong to the essential constitution of the handset, and can be omitted entirely as needed within the scope not changing the essence of the invention.

The processor 780 is a control center of the mobile phone, connects various parts of the entire mobile phone using various interfaces and lines, and performs various functions of the mobile phone and processes data by operating or executing software programs and/or modules stored in the memory 720 and calling data stored in the memory 720. Optionally, processor 780 may include one or more processing units; preferably, the processor 780 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 780.

The handset also includes a power supply 790 (e.g., a battery) for powering the various components, which may preferably be logically coupled to the processor 780 via a power management system, so that the power management system may be used to manage charging, discharging, and power consumption.

Although not shown, the mobile phone may further include a camera, a bluetooth module, etc., which are not described herein.

In this embodiment, the processor 780 included in the terminal device further has the following functions:

Referring to fig. 7, fig. 7 is a block diagram of a server 800 provided in this embodiment, and the server 800 may have a relatively large difference due to different configurations or performances, and may include one or more Central Processing Units (CPUs) 822 (e.g., one or more processors) and a memory 832, and one or more storage media 830 (e.g., one or more mass storage devices) storing an application 842 or data 844. Memory 832 and storage medium 830 may be, among other things, transient or persistent storage. The program stored in the storage medium 830 may include one or more modules (not shown), each of which may include a series of instruction operations for the server. Still further, a central processor 822 may be provided in communication with the storage medium 830 for executing a series of instruction operations in the storage medium 830 on the server 800.

The server 800 may also include one or more power supplies 826, one or more wired or wireless network interfaces 850, one or more input-output interfaces 858, and/or one or more operating systems 841, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, and so forth.

The steps performed by the server in the above embodiments may be based on the server structure shown in fig. 7.

The embodiment of the present application further provides a computer-readable storage medium for storing a computer program, where the computer program is configured to execute any one implementation manner of the feature value transfer method described in the foregoing embodiments.

The claimed embodiments provide a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to enable the computer device to execute any one implementation of the feature value transfer method described in the various embodiments.

Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium may be at least one of the following media: various media that can store program codes, such as read-only memory (ROM), RAM, magnetic disk, or optical disk.

It should be noted that, in the present specification, all the embodiments are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus and system embodiments, since they are substantially similar to the method embodiments, they are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described embodiments of the apparatus and system are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

The above description is only one specific embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for feature value transfer, the method comprising:

2. The method of claim 1, further comprising:

acquiring a feature extraction request;

and performing feature extraction on the information acquired by the first participating main body through a unified feature extraction module to obtain the first feature.

3. The method of claim 2, wherein determining a corresponding second feature value account of the feature value transfer party in a second participating subject according to the first feature comprises:

comparing the similarity between the first characteristic and the characteristics in the characteristic library; the features in the feature library are obtained by performing feature extraction on information through the feature extraction module, and the features in the feature library have corresponding feature value accounts;

4. The method of claim 3, further comprising:

calculating the similarity among the features in the feature library;

and combining the features with the similarity meeting the threshold condition, wherein the combined features have a feature value account corresponding to the features before combination.

5. The method of claim 3, further comprising:

acquiring account registration information; the account registration information comprises registered characteristic value accounts and characteristics extracted by the characteristic extraction module;

and storing the characteristics into the characteristic library according to the account registration information, and recording the corresponding relation with the characteristic value account.

6. The method of claim 5, wherein the account registration information further comprises a user identification; before the instructing the second participating principal to transfer the feature value in the second feature value account corresponding to the feature value transfer request to the first feature value account through the target principal, the method further includes:

acquiring identity authentication information comprising an identity identifier to be determined;

comparing the pending identity with the user identity corresponding to the second characteristic value account;

and if the characteristic values are the same as the characteristic values of the first characteristic value account, the step of indicating the second participating subject to transfer the characteristic values corresponding to the characteristic value transfer request in the second characteristic value account to the first characteristic value account through the target subject is executed.

7. The method of claim 3, further comprising:

obtaining an update request for the second feature; the updating request comprises the characteristics to be updated;

and updating the second feature in the feature library to be the feature to be updated.

8. The method according to any one of claims 1 to 7, wherein if a plurality of feature value accounts of the feature value transfer party are determined according to the first feature, the plurality of feature value accounts comprises a second feature value account and a third feature value account corresponding to the feature value transfer party in the first participating subject;

before the instructing the second participating principal to transfer the feature value in the second feature value account corresponding to the feature value transfer request to the first feature value account through the target principal, the method further includes:

sending the plurality of feature value accounts to the first participating subject;

acquiring account confirmation information returned by the first participating main body;

if the account confirmation information indicates the second characteristic value account, a step of indicating the second participating subject to transfer the characteristic value corresponding to the characteristic value transfer request in the second characteristic value account to the first characteristic value account through the target subject by a target subject is executed;

and if the account confirmation information indicates the third characteristic value account, indicating the first participating subject to transfer the characteristic value corresponding to the characteristic value transfer request in the third characteristic value account to the first characteristic value account.

9. A feature value transfer apparatus characterized by comprising an acquisition unit, a determination unit, and a transfer unit:

10. An apparatus for feature value transfer, the apparatus comprising a processor and a memory:

the processor is configured to perform the feature transfer method of any one of claims 1 to 8 according to instructions in the program code.

11. A computer-readable storage medium for storing a computer program for executing the feature transfer method of any one of claims 1 to 8.