CN109981755A - Image-recognizing method, device and electronic equipment - Google Patents
Image-recognizing method, device and electronic equipment Download PDFInfo
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/20—Network architectures or network communication protocols for network security for managing network security; network security policies in general
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
- H04L67/63—Routing a service request depending on the request content or context
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- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
- H04L9/3236—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using cryptographic hash functions
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
- H04L9/3247—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving digital signatures
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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Abstract
This application discloses image-recognizing method, device and equipment, this method is applied to node, comprising: images to be recognized is received in present node；The images to be recognized is identified in the present node；When the present node identifies the images to be recognized, the identification information of images to be recognized is returned.This method between terminal and data center server by disposing multiple nodes, the sample image data for the identification image data base for being stored in data center server is distributed in multiple nodes by preset strategy, this guarantees the total datas that each node in addition to data center server does not have identification image data base, it prevents complete data to be stolen or reveal, ensure that the safety of data.
Description
Technical field
This application involves intelligent identification technology fields, in particular to image-recognizing method, device and electronic equipment.
Background technique
In recent years, image recognition technology is rapidly developed and is widely applied.This is a kind of based on known identification figure
As database, images to be recognized is analyzed using computer or embedded device, and then utilize identification image data base sample image
Data detect a special kind of skill of images to be recognized.Identification image data base is storable in computer or embedded device sheet
Ground also can store in data center server.Computer or embedded device can be saved by being stored in data center server
Local storage space, but due to being limited by network technology, recognition result totally cannot be rapidly obtained, therefore in many applied fields
Identification image data base can only be supplied to user in scape and be stored in local, this entirely to identify that the data of image data base are deposited
In the risk for being stolen or revealing.
Summary of the invention
In view of problem above, the embodiment of the present invention provides image-recognizing method, device and electronic equipment, can solve
State the technical issues of background technology part is mentioned.
The image-recognizing method of embodiment according to the invention is applied to node, which comprises in present node
Receive images to be recognized；The images to be recognized is identified in the present node；When the present node identifies institute
When stating images to be recognized, the identification information of the images to be recognized is returned.
The pattern recognition device of embodiment according to the invention is applied to node, and described device includes: the first reception mould
Block, for receiving images to be recognized in present node；Identification module is used in the present node to the images to be recognized
It is identified；Return module, for returning to the images to be recognized when the present node identifies the images to be recognized
Identification information.
The electronic equipment of embodiment according to the invention, comprising: processor；And memory, it is stored thereon with executable
Instruction；Wherein, the processor is configured to execute the executable instruction to implement image-recognizing method above-mentioned.
Computer readable storage medium is stored thereon with computer program, and the computer program includes executable instruction,
When the executable instruction is executed by processor, implement image-recognizing method above-mentioned.
In the scheme of the embodiment of the present invention, multiple nodes are disposed between terminal and data center server, will be stored in
The sample image data of the identification image data base of data center server is distributed in multiple nodes by preset strategy, this is just
It ensure that each node in addition to data center server does not have the total data of identification image data base, prevent complete
Data be stolen or reveal, ensure that the safety of data.User can know images to be recognized first with nearest node
Not, it is identified if it can not identify using upstream node or data center server.
Detailed description of the invention
Fig. 1 is that present invention could apply to exemplary system architecture figures therein；
Fig. 2 is the flow chart of the image-recognizing method of one embodiment of the invention；
Fig. 3 is the flow chart of the image-recognizing method of another embodiment of the present invention；
Fig. 4 is the schematic diagram of the pattern recognition device of one embodiment of the invention；
Fig. 5 is the schematic diagram of the electronic equipment of one embodiment of the invention.
Specific embodiment
Theme described herein is discussed referring now to example embodiment.It should be understood that discussing these embodiments only
It is in order to enable those skilled in the art can better understand that being not to claim to realize theme described herein
Protection scope, applicability or the exemplary limitation illustrated in book.It can be in the protection scope for not departing from present disclosure
In the case of, the function and arrangement of the element discussed are changed.Each example can according to need, omit, substitute or
Add various processes or component.For example, described method can be executed according to described order in a different order, with
And each step can be added, omits or combine.In addition, feature described in relatively some examples is in other examples
It can be combined.
As used in this article, term " includes " and its modification indicate open term, are meant that " including but not limited to ".
Term "based" indicates " being based at least partially on ".Term " one embodiment " and " embodiment " expression " at least one implementation
Example ".Term " another embodiment " expression " at least one other embodiment ".Term " first ", " second " etc. may refer to not
Same or identical object.Here may include other definition, either specific or implicit.Unless bright in context
It really indicates, otherwise the definition of a term is consistent throughout the specification.
In being described below, for illustration and not for limitation, propose such as specific system structure, interface, technology it
The detail of class, to understand thoroughly the present invention.However, it will be clear to one skilled in the art that there is no these specific
The present invention also may be implemented in the other embodiment of details.In other situations, omit to well-known device, circuit with
And the detailed description of method, in case unnecessary details interferes description of the invention.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combine.The present invention will be described in detail below with reference to the accompanying drawings and embodiments.The image-recognizing method or device of the application
It can be the identification to the object type in image type or image.
Fig. 1 is shown can be using the exemplary system of one embodiment of image-recognizing method or device of the invention
100。
As shown in Figure 1, system 100 may include terminal 102, fringe node 104,106 and 108,110 and of middle layer node
112 and data center server 114.In schematic diagram out shown in Fig. 1, fringe node 104 and 106 is respectively provided with four
Node server, there are four node servers for the tool of middle layer node 112.The being given for example only property of number of above equipment illustrates this
The principle of invention, does not limit the invention.
The operation that terminal 102 responds user sends image recognition request to system 100, wherein image recognition request carries
The corresponding data of images to be recognized.I.e. user can send the corresponding data of images to be recognized to system 100 by terminal 102 and connect
The identification information for the images to be recognized that receipts system 100 returns.Terminal 100 be STB (Set Top Box, set-top box), router or
UE (User Equipment, user terminal) etc..In the embodiment of the present application, terminal 102 can be implemented in a variety of manners.Example
Such as, may include such as mobile phone, smart phone, laptop, digit broadcasting receiver, PDA (personal digital assistant),
The mobile terminal of PAD (tablet computer), PMP (portable media player) etc. and consolidating for such as desktop computer etc.
Determine terminal.
System 100, which can be, carries out tissue with level shape structure, wherein data center server 114 is located at level shape
The top layer of structure, fringe node 104,106 and 108 are located at the bottom of level shape structure, are located at data center server 114
Between fringe node 104,106,108 is middle layer node 110 and 112.It should be noted that in different systems,
Topological structure may be different, such as may include the middle layer node of multilayer.
In the embodiment of the present application, it is illustrated, 104 access terminal 102 of fringe node, uses by taking fringe node 104 as an example
In the images to be recognized for receiving the transmission of terminal 102, alternatively, the identification information of images to be recognized is sent to terminal 102.In this Shen
Please be in embodiment, some current node can receive image recognition request and can connect if present node is fringe node 104
The image recognition request for receiving terminal 102 can receive the image of fringe node 104 if present node is middle layer node 110
Identification request.Middle layer node 110 images to be recognized is identified after identification information by fringe node 104 be sent to
Its terminal 102 connected.Other nodes.
In the embodiment of the present application, for carrying out being identified by the sample calculated in images to be recognized and database to image
Similarity between this image to obtain the sample image met the requirements with images to be recognized similarity, and will be met the requirements
Sample image and/or its label as recognition result, to complete the identification to the type of images to be recognized.By sample image structure
At complete data set be stored in data center server 114, data center server 114 is according to preset strategy by data
The sample image data of concentration is distributed to each node, and each node is made not contain complete data set.
Fig. 2 shows one embodiment of the application provide image-recognizing method flow chart, this method 200 may include with
Lower step:
S202: images to be recognized is received in present node.
In the embodiment of the present application, there are multiple nodes for being identified to image, receive use in some node
When the image recognition request at family, the request routing by user can be dispatched or be directed to recently or current negative from user
It carries on lesser node, is that user identifies images to be recognized by the node, relative to directly to data center server request knowledge
Other images to be recognized, this mode shorten the network between user and data (sample image data in such as database) away from
From to achieve the effect that acceleration.
S204: the images to be recognized is identified in the present node.
In the embodiment of the present application, images to be recognized is known using the sample image data that present node stores
Not.Carrying out identification to images to be recognized can be the type of identification images to be recognized, or identify the object in images to be recognized
Type, or image similar with images to be recognized is identified from sample image data.In the embodiment of the present application, Ke Yitong
The similarity of calculating images to be recognized and sample image is crossed to identify to images to be recognized.
S206: when the present node identifies the images to be recognized, the identification information of images to be recognized is returned to.
In the specific implementation, it is more than the preset time in nodal cache due to sample image data, can be deleted, therefore
It, can be similar to images to be recognized by judgement sample image when the present node identifies the images to be recognized
Whether degree is more than or equal to preset threshold, if so, determine that the present node can identify the images to be recognized, it is no
Then determine that the present node cannot identify the images to be recognized.In the embodiment of the present application, the present node returns
The identification information for the images to be recognized returned can be the corresponding type information of images to be recognized, be also possible to and images to be recognized phase
As sample image.If present node is fringe node, identification information is returned into terminal, if present node is centre
Identification information is then returned to fringe node by node layer.
In one embodiment of the application, it can have multiple calculating equipment under the same node, such as with multiple
Node server can only cache the sample image data of node a in wherein one calculating equipment.Therefore, step
S204 may include following sub-step:
S11: the destination computing device of the images to be recognized described for identification is determined in the multiple calculating equipment.
In the embodiment of the present application, for current images to be recognized, present node need to determine caching from multiple equipment
The calculating equipment of sample image data corresponding with images to be recognized, as destination computing device.
S12: the images to be recognized is identified in the destination computing device.
After it located destination computing device, then images to be recognized can be known in the destination computing device
Not.
In one embodiment of the application, step S11 may include following sub-step:
S21: image signatures corresponding with the content information of the images to be recognized are obtained.
In the embodiment of the present application, using images to be recognized itself content information (for example, the metadata of image, such as
Color, texture etc., rather than byte stream) to calculate the image signatures of images to be recognized, thus greatly reduce clash it is general
Rate.In one embodiment, the corresponding image signatures of images to be recognized can be obtained by following steps: by images to be recognized
It is converted into gray level image；Gray level image is divided into the subgraph of N × N, and side is calculated from M direction respectively to each subgraph
Edge histogram obtains N × N × M calculated result, wherein the N and M is natural number；By the corresponding N × N of gray level image ×
M calculated result combines N × N × M dimensional vector as image signatures.
S22: it is signed according to described image and generates condition code.
In the embodiment of the present application, it can be signed according to described image, generate one uniquely by modes such as hash algorithms
Code value, as condition code.
S23: preset information table memory is searched, record has the multiple meter of mapping relations in the information table memory
Calculate device identification and the reference code of equipment.
Wherein, the reference code is corresponding according to the sample image data for calculating equipment belonging to the device identification is stored in
Image signatures generate and a unique code value.
S24: described document information is matched with the reference code.
S25: when successful match, the destination computing device is determined with the corresponding device identification of the reference code.
In the scheme of the embodiment of the present invention, multiple nodes are disposed between terminal and data center server, will be stored in
The sample image data of the identification image data base of data center server is distributed in multiple nodes by preset rules, this is just
It ensure that each node in addition to data center server does not have the total data of identification image data base, prevent complete
Data be stolen or reveal, ensure that the safety of data.User can know images to be recognized first with nearest node
Not, it is identified if it can not identify using upstream node or data center server.
Fig. 3 shows the flow chart of the image-recognizing method of another embodiment of the application, and this method 300 may include following
Step:
S302: images to be recognized is received in present node.
S304: the images to be recognized is identified in the present node.
S306: when the present node cannot identify the images to be recognized, the images to be recognized is sent
To upstream node or data center server, with the upstream node or data center server to the images to be recognized into
Row identification.
If present node is fringe node, images to be recognized can be sent to middle layer node；If present node is
When middle layer node, then figure to be identified can be sent to upper one layer of middle layer node or data center server.
S308: the identification information for the images to be recognized that the upstream node or data center server return is received.
In the embodiment of the present application, identification information may include sample image data, so as to receive and figure to be identified
After corresponding sample image data, sample image data is stored in present node, facilitates to identify image next time.
Fig. 4 shows the schematic diagram of the pattern recognition device of one embodiment according to the application, device shown in Fig. 4
400 can use the mode of software, hardware or software and hardware combining to realize.The embodiment of device 400 is substantially similar to method
Embodiment, so describing fairly simple, the relevent part can refer to the partial explaination of embodiments of method.
As shown in figure 4, device 400 may include the first receiving module 402, identification module 404 and return module 406.The
One receiving module 402 in present node for receiving images to be recognized.Identification module 404 is used in the present node to institute
Images to be recognized is stated to be identified.Return module 406 is used for when the present node identifies the images to be recognized, is returned
The identification information of images to be recognized.
In one embodiment of the application, present node has multiple calculating equipment, and identification module 404 may include true
Stator modules and identification submodule.Determine submodule for determining described to be identified for identification in the multiple calculating equipment
The destination computing device of image.Identification submodule is for knowing the images to be recognized in the destination computing device
Not.
In one embodiment of the application, determine submodule may include acquiring unit, generation unit, searching unit,
Matching unit and determination unit.Acquiring unit is for obtaining image signatures corresponding with the content information of the images to be recognized.
Generation unit, which is used to be signed according to described image, generates condition code.Searching unit is described for searching preset information table memory
Record has device identification and the reference code of the multiple calculating equipment of mapping relations, the reference code root in information table memory
It is generated according to the corresponding image signatures of sample image data for calculating equipment belonging to the device identification are stored in.Matching unit is used for
Described document information is matched with the reference code.Determination unit is used for when successful match, corresponding with the reference code
Device identification determines the destination computing device.
In one embodiment of the application, device 400 further includes sending module and the second receiving module.Sending module is used
In when the present node cannot identify the images to be recognized, the identification image is sent to upstream node or number
According to central server, to be identified in the upstream node or data center server to the images to be recognized.Second connects
Receive the identification information that module is used to receive the images to be recognized that the upstream node or data center server return.
The embodiment of the present application also provides a kind of electronic equipment, refers to Fig. 5, and Fig. 5 is the embodiment of the present application electronic equipment one
A embodiment schematic diagram.As shown in figure 5, for ease of description, illustrating only part relevant to the embodiment of the present application, specific skill
Art details does not disclose, please refers to the embodiment of the present application method part.
As shown in figure 5, electronic equipment 500 may include processor 502 and memory 504, wherein deposited on memory 504
Contain executable instruction, wherein the executable instruction makes processor 502 execute any implementation of Fig. 2 or Fig. 3 upon being performed
Method shown in mode.
As shown in figure 5, electronic equipment 500 can also include connecting different system components (including processor 502 and memory
504) bus 506.Bus 506 indicates one of a few class bus structures or a variety of, including memory bus or memory
Controller, peripheral bus, graphics acceleration port, processor or the local using any bus structures in a variety of bus structures
Bus.For example, these architectures include but is not limited to industry standard architecture (ISA) bus, microchannel system knot
Structure (MAC) bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI)
Bus.
Electronic equipment 500 typically comprises a variety of computer system readable media.These media can be it is any can be by
The usable medium that electronic equipment 500 accesses, including volatile and non-volatile media, moveable and immovable medium.
Memory 504 may include the computer system readable media of form of volatile memory, such as arbitrary access is deposited
Reservoir (RAM) 508 and and/or cache memory 510.Electronic equipment 500 may further include it is other it is removable/can not
Mobile, volatile/non-volatile computer system storage medium.Only as an example, storage system 512 can be used for reading and writing not
Movably, non-volatile magnetic media (Fig. 5 do not show, commonly referred to as " hard disk drive ").It, can be with although being not shown in Fig. 5
The disc driver for reading and writing to removable non-volatile magnetic disk (such as " floppy disk ") is provided, and non-volatile to moving
The CD drive of CD (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each driving
Device can be connected by one or more data media interfaces with bus 506.Memory 504 may include at least one program
Product, the program product have one group of (for example, at least one) program module, these program modules are configured to perform the present invention
The function of above-mentioned Fig. 2 or Fig. 3 embodiment.
Program/utility 514 with one group of (at least one) program module 516, can store in such as memory
In 504, such program module 516 includes but is not limited to operating system, one or more application program, other program modules
And program data, it may include the realization of network environment in each of these examples or certain combination.Program module 516
Usually execute the function and/or method in above-mentioned Fig. 2 or Fig. 3 embodiment described in the invention.
Electronic equipment 500 can also be with one or more external equipments 522 (such as keyboard, sensing equipment, display 524
Deng) communication, can also be enabled a user to one or more equipment interact with the electronic equipment 500 communicate, and/or with make
Any equipment (such as network interface card, the modem that the electronic equipment 500 can be communicated with one or more of the other calculating equipment
Etc.) communication.This communication can be carried out by input/output (I/O) interface 518.Also, electronic equipment 500 can also lead to
Cross network adapter 520 and one or more network (such as local area network (LAN), wide area network (WAN) and/or public network, example
Such as internet) communication.As shown in figure 5, network adapter 520 is communicated by bus 506 with other modules of electronic equipment 500.
It should be understood that although not shown in the drawings, other hardware and/or software module can not used in conjunction with electronic equipment 500, including but not
It is limited to: microcode, device driver, redundant processor, external disk drive array, RAID system, tape drive and number
According to backup storage system etc..
The program that processor 502 is stored in memory 504 by operation, thereby executing various function application and data
Processing, such as realize method shown in above-described embodiment.
Embodiments herein also provides a kind of computer storage medium, is stored thereon with computer program, the calculating
Machine program includes executable instruction, when the executable instruction is executed by processor, implements the image of foregoing individual embodiments
Any one embodiment in recognition methods.
The computer storage medium of the present embodiment may include in the memory 504 in above-mentioned embodiment illustrated in fig. 5 with
Machine accesses memory (RAM) 508, and/or cache memory 510, and/or storage system 512.
With the development of science and technology, the route of transmission of computer program is no longer limited by tangible medium, it can also be directly from net
Network downloading, or obtained using other modes.Therefore, the computer storage medium in the present embodiment not only may include tangible
Medium can also include invisible medium.
It will be understood by those skilled in the art that the embodiment of the present invention can provide as method, apparatus or computer program production
Product.Therefore, in terms of the embodiment of the present invention can be used complete hardware embodiment, complete software embodiment or combine software and hardware
Embodiment form.Moreover, it wherein includes computer available programs generation that the embodiment of the present invention, which can be used in one or more,
The meter implemented in the computer-usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) of code
The form of calculation machine program product.
The embodiment of the present invention be referring to according to the method for the embodiment of the present invention, the process of device and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing terminal devices
To generate a machine, so that being produced by the instruction that computer or the processor of other programmable data processing terminal devices execute
Life is for realizing the function of specifying in one or more flows of the flowchart and/or one or more blocks of the block diagram
Device.
The specific embodiment illustrated above in conjunction with attached drawing describes exemplary embodiment, it is not intended that may be implemented
Or fall into all embodiments of the protection scope of claims." exemplary " meaning of the term used in entire this specification
Taste " be used as example, example or illustration ", be not meant to than other embodiments " preferably " or " there is advantage ".For offer pair
The purpose of the understanding of described technology, specific embodiment include detail.However, it is possible in these no details
In the case of implement these technologies.In some instances, public in order to avoid the concept to described embodiment causes indigestion
The construction and device known is shown in block diagram form.
The foregoing description of present disclosure is provided so that any those of ordinary skill in this field can be realized or make
Use present disclosure.To those skilled in the art, the various modifications carried out to present disclosure are apparent
, also, can also answer generic principles defined herein in the case where not departing from the protection scope of present disclosure
For other modifications.Therefore, present disclosure is not limited to examples described herein, but with meet principle disclosed herein
It is consistent with the widest scope of novel features.
Claims (10)
1. image-recognizing method is applied to node, which comprises
Images to be recognized is received in present node；
The images to be recognized is identified in the present node；
When the present node identifies the images to be recognized, the identification information of the images to be recognized is returned.
2. working as prosthomere described according to the method described in claim 1, wherein, the present node has multiple calculating equipment
Point identifies the images to be recognized, comprising:
The destination computing device of the images to be recognized described for identification is determined in the multiple calculating equipment；
The images to be recognized is identified in the destination computing device.
3. according to the method described in claim 2, wherein, determination is described to be identified for identification in the multiple calculating equipment
The destination computing device of image, comprising:
Obtain image signatures corresponding with the content information of the images to be recognized；
It is signed according to described image and generates condition code；
Preset information table memory is searched, record has the multiple calculating equipment of mapping relations in the information table memory
Device identification and reference code, the reference code calculate the sample image data pair of equipment according to being stored in belonging to the device identification
The image signatures answered generate；
Described document information is matched with the reference code；
When successful match, the destination computing device is determined with the corresponding device identification of the reference code.
4. according to the method described in claim 1, wherein, the method also includes:
When the present node cannot identify the images to be recognized, by the identification image be sent to upstream node or
Data center server, to be identified in the upstream node or data center server to the images to be recognized；
Receive the identification information for the images to be recognized that the upstream node or data center server return.
5. pattern recognition device, is applied to node, described device includes:
First receiving module, for receiving images to be recognized in present node；
Identification module, for being identified in the present node to the images to be recognized；
Return module, for returning to the knowledge of the images to be recognized when the present node identifies the images to be recognized
Other information.
6. device according to claim 5, wherein the present node has multiple calculating equipment, the identification module
Include:
Submodule is determined, for determining that the target calculating of the images to be recognized described for identification is set in the multiple calculating equipment
It is standby；
Submodule is identified, for identifying in the destination computing device to the images to be recognized.
7. device according to claim 6, wherein the determining submodule includes:
Acquiring unit, for obtaining image signatures corresponding with the content information of the images to be recognized；
Generation unit generates condition code for signing according to described image；
Searching unit, for searching preset information table memory, record has the described of mapping relations in the information table memory
Multiple device identifications for calculating equipment and reference code, the reference code is according to being stored in calculating equipment belonging to the device identification
The corresponding image signatures of sample image data generate；
Matching unit, for matching described document information with the reference code；
Determination unit, for determining the destination computing device with the corresponding device identification of the reference code when successful match.
8. device according to claim 5, wherein described device further include:
Sending module, for when the present node cannot identify the images to be recognized, the identification image to be sent out
Send to upstream node or data center server, in the upstream node or data center server to the images to be recognized
It is identified；
Second receiving module, for receiving the knowledge for the images to be recognized that the upstream node or data center server return
Other information.
9. electronic equipment, comprising:
Processor；And
Memory is stored thereon with executable instruction；
Wherein, the processor is configured to execute the executable instruction to implement side according to any one of claims 1-4
Method.
10. computer readable storage medium is stored thereon with computer program, the computer program includes executable instruction,
When the executable instruction is executed by processor, implement method according to any of claims 1-4.
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| CN201910182399.2A CN109981755A (en) | 2019-03-12 | 2019-03-12 | Image-recognizing method, device and electronic equipment |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910182399.2A CN109981755A (en) | 2019-03-12 | 2019-03-12 | Image-recognizing method, device and electronic equipment |
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