CN109766826A - A kind of method and system of automatic identification job information - Google Patents
A kind of method and system of automatic identification job information Download PDFInfo
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- CN109766826A CN109766826A CN201910015301.4A CN201910015301A CN109766826A CN 109766826 A CN109766826 A CN 109766826A CN 201910015301 A CN201910015301 A CN 201910015301A CN 109766826 A CN109766826 A CN 109766826A
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Abstract
The present invention provides a kind of method and system of automatic identification job information, method includes: to obtain operation pictorial information and keywords database；The operation keyword in the operation pictorial information is identified in conjunction with the keywords database by image recognition technology；It analyzes the operation keyword and obtains corresponding homework type；Corresponding operation function is called according to the homework type.The present invention obtains homework type by the operation pictorial information of identification record, then calls corresponding operation function automatically, does not need user and calls each operation function one by one manually, uses more convenient and quicker.
Description
Technical field
The present invention relates to image identification technical field, espespecially a kind of method and system of automatic identification job information.
Background technique
The learning tasks burdensome of student, the operation for needing to complete after class are more.Student is usually by operation to be done
It is recorded in charge book sheet, when doing the homework, just according to the job information in charge book sheet, opens private tutor manually
The intelligent terminal of the assisted learning such as machine each function corresponding above, it is on the one hand troublesome in poeration, need student oneself to find manually
Corresponding function, if the on the other hand more situation for being easy to appear omission of operation.Therefore, it for said circumstances, needs in the market
Want a kind of method and system of automatic identification job information.
Summary of the invention
The object of the present invention is to provide a kind of method and system of automatic identification job information, realize through identification record
Operation pictorial information obtains homework type, then calls corresponding operation function automatically, does not need user and calls one by one manually respectively
Operation function uses more convenient and quicker.
Technical solution provided by the invention is as follows:
The present invention provides a kind of method of automatic identification job information, comprising:
Obtain operation pictorial information and keywords database；
The operation keyword in the operation pictorial information is identified in conjunction with the keywords database by image recognition technology；
It analyzes the operation keyword and obtains corresponding homework type；
Corresponding operation function is called according to the homework type.
Further, include: before the acquisition operation pictorial information and keywords database
Obtain job information sample；
The job information sample is segmented by participle technique to obtain sample participle；
It analyzes the job information sample and obtains the corresponding participle part of speech of the sample participle；
Sample keyword is extracted from sample participle according to the participle part of speech；
The keywords database is established according to the sample keyword.
Further, described to be identified in the operation pictorial information by image recognition technology in conjunction with the keywords database
Operation keyword specifically include:
The job information of the operation pictorial information is identified by image recognition technology；
The job information and the keywords database are compared, the operation obtained in the job information is crucial
Word.
Further, described to call corresponding operation function to specifically include according to the homework type:
If including the corresponding sequence of operation of the homework type in the operation pictorial information, according to the sequence of operation
Homework type is selected to call corresponding operation function；
If not including the corresponding sequence of operation of the homework type in the operation pictorial information, class of jobs is randomly choosed
Type calls corresponding operation function.
It is further, described that corresponding operation function is called according to the homework type further include:
Corresponding call instruction is generated according to the homework type；
Corresponding operation function is called according to the call instruction.
The present invention also provides a kind of systems of automatic identification job information, comprising:
Module is obtained, operation pictorial information and keywords database are obtained；
Identification module is obtained in conjunction with described in the keywords database identification of the acquisition module acquisition by image recognition technology
The operation keyword in the operation pictorial information that modulus block obtains；
Analysis module analyzes the operation keyword that the identification module obtains and obtains corresponding homework type；
Calling module calls corresponding operation function according to the homework type that the analysis module obtains.
Further, further includes:
Sample acquisition module obtains job information sample；
Word segmentation module segments the job information sample that the sample acquisition module obtains by participle technique
Obtain sample participle；
Part of speech analysis module analyzes the job information sample that the sample acquisition module obtains and obtains the participle mould
The sample that block obtains segments corresponding participle part of speech；
Extraction module, the participle part of speech obtained according to the part of speech analysis module extract sample from sample participle
This keyword；
Dictionary establishes module, establishes the keywords database according to the sample keyword that the extraction module obtains.
Further, the identification module specifically includes:
Recognition unit identifies the operation for the operation pictorial information that the acquisition module obtains by image recognition technology
Information；
Comparison unit, the job information that the recognition unit is obtained and the key for obtaining module and obtaining
Dictionary compares, and obtains the operation keyword in the job information.
Further, the calling module specifically includes:
Call unit, if described obtain in the operation pictorial information that module obtains includes that the homework type is corresponding
The sequence of operation then calls corresponding operation function according to sequence of operation selection homework type；
Selection unit, if in the operation pictorial information not including the corresponding sequence of operation of the homework type, at random
Select homework type；
The call unit calls corresponding operation function according to the homework type that the selection unit is chosen.
Further, the calling module further include:
Generation unit generates corresponding call instruction according to the homework type that the analysis module obtains；
The call unit calls corresponding operation function according to the call instruction that the generation unit generates.
A kind of method and system of the automatic identification job information provided through the invention, can bring following at least one
The utility model has the advantages that
1, in the present invention, the operation pictorial information of user is identified by image recognition technology, to rapidly and accurately call
Corresponding operation function.
2, in the present invention, through the invention by the job information identified in charge book sheet of taking pictures, and believed according to operation
The action function in Auto-matching private tutor machine is ceased, user can directly be fulfiled assignment using the function that private tutor's machine automatically opens, be made
Use more convenient and quicker.
3, in the present invention, the job information of user is identified by image recognition technology, is then called seriatim corresponding
Operation function avoids operation from excessively causing to omit.
Detailed description of the invention
Below by clearly understandable mode, preferred embodiment is described with reference to the drawings, a kind of automatic identification operation is believed
Above-mentioned characteristic, technical characteristic, advantage and its implementation of the method and system of breath are further described.
Fig. 1 is a kind of flow chart of one embodiment of the method for automatic identification job information of the present invention；
Fig. 2 is a kind of flow chart of another embodiment of the method for automatic identification job information of the present invention；
Fig. 3 is a kind of flow chart of another embodiment of the method for automatic identification job information of the present invention；
Fig. 4 is a kind of flow chart of another embodiment of the method for automatic identification job information of the present invention；
Fig. 5 is a kind of flow chart of another embodiment of the method for automatic identification job information of the present invention；
Fig. 6 is a kind of flow chart of another embodiment of the method for automatic identification job information of the present invention；
Fig. 7 is a kind of flow chart of another embodiment of the method for automatic identification job information of the present invention；
Fig. 8 is a kind of structural schematic diagram of one embodiment of the system of automatic identification job information of the present invention；
Fig. 9 is a kind of structural schematic diagram of another embodiment of the system of automatic identification job information of the present invention；
Figure 10 is a kind of structural schematic diagram of another embodiment of the system of automatic identification job information of the present invention；
Figure 11 is a kind of structural schematic diagram of another embodiment of the system of automatic identification job information of the present invention；
Figure 12 is a kind of structural schematic diagram of another embodiment of the system of automatic identification job information of the present invention.
Drawing reference numeral explanation:
The system of 100 automatic identification job informations
110 obtain module
120 identification module, 121 recognition unit, 122 comparison unit
130 analysis modules
140 calling module, 141 call unit, 142 selection unit, 143 generation unit
150 sample acquisition modules
160 word segmentation module, 170 part of speech analysis module
180 extraction module, 190 dictionary establishes module
Specific embodiment
It, below will control in order to clearly illustrate the embodiment of the present invention or technical solution in the prior art
Figure of description illustrates a specific embodiment of the invention.It should be evident that the accompanying drawings in the following description is only of the invention
Some embodiments for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other attached drawings, and obtain other embodiments.
In order to make simplified form, part related to the present invention is only schematically shown in each figure, their not generations
Its practical structures as product of table.In addition, there is identical structure or function in some figures so that simplified form is easy to understand
Component, only symbolically depict one of those, or only marked one of those.Herein, "one" not only table
Show " only this ", can also indicate the situation of " more than one ".
One embodiment of the present of invention, as shown in Figure 1, a kind of method of automatic identification job information, comprising:
S100 obtains operation pictorial information and keywords database.
Specifically, obtaining operation pictorial information and keywords database.If user is by charge book to be done in operation
On the paperys notebook such as minute book, then the operation to be done of record take pictures by camera obtaining operation picture
Information.Due to popularizing for present intelligent terminal, user may also be recorded with the memorandum etc. in intelligent terminal, then only needed
It carries out picture screenshotss and obtains operation pictorial information, or directly photograph to record operation to be done using intelligent terminal.
S200 identifies the key of the operation in the operation pictorial information in conjunction with the keywords database by image recognition technology
Word.
Specifically, the text information in the operation pictorial information for passing through image recognition technology identification acquisition, the text that will be obtained
Word information and the keywords database of acquisition are matched, to obtain the operation keyword in operation pictorial information.
S300 analyzes the operation keyword and obtains corresponding homework type.
Specifically, analysis operation keyword obtains corresponding homework type, operation keyword obtained above is only merely
Multiple individual words, it is semantic possible and imperfect, therefore further to analyze supplement and obtain specific homework type.
For example, obtained operation keyword is " dictation ", " the 5th class ", " new word ", according to the user information of active user
Such as the corresponding grade of user, if it is one grade, then the corresponding homework type analyzed is a grade Chinese language the 5th of dictation
The new word of class.
S400 calls corresponding operation function according to the homework type.
Specifically, corresponding operation function is called according to homework type, for example, the homework type that analysis obtains is dictation one
The new word of grade's the 5th class of Chinese language, then automatic jump to the new word part of the 5th class of Chinese language, and user is prompted to start to listen
It writes.
In the present embodiment, the operation pictorial information of user is identified by image recognition technology, to rapidly and accurately call
Corresponding operation function.And when the information of the operation to be done of user record is not complete or is identified by image recognition technology
Information it is not full-time, analysis obtain corresponding homework type, consequently facilitating calling corresponding operation function.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in Figure 2, comprising:
S010 obtains job information sample.
Specifically, obtaining job information sample, the type of job information sample may be textual form, it may be possible to voice shape
Formula, it is also possible to graphic form, but due to it is subsequent be all to handle text, finally require to be converted into text
Form.
S020 segments the job information sample by participle technique to obtain sample participle.
S030 analyzes the job information sample and obtains the corresponding participle part of speech of the sample participle.
Specifically, segmenting by job information sample of the participle technique to acquisition, several samples participle is obtained.So
The sentence structure of post analysis job information sample determines that each sample segments corresponding participle part of speech.
For example, some job information sample are as follows: the new word of the 5th class of dictation is segmented by participle technique
Sample participle are as follows: " dictation ", " the 5th class ", " " and " new word ", corresponding participle part of speech be respectively as follows: verb, noun, function word
And noun.
S040 extracts sample keyword from sample participle according to the participle part of speech.
Specifically, obtaining participle part of speech extraction sample keyword from all sample participles according to analysis, such as a certain
A job information sample are as follows: the new word of the 5th class of dictation is segmented are as follows: " listen by the sample that participle technique is segmented
Write ", " the 5th class ", " " and " new word ", corresponding participle part of speech be respectively as follows: verb, noun, function word and noun, extract
Sample keyword be " dictation ", " the 5th class " and " new word ".
S050 establishes the keywords database according to the sample keyword.
Specifically, the sample keyword according to said extracted establishes keywords database, in addition, system can be with auto-associating sample
Keyword, such as " the 5th class " are sample keyword, identify that wherein " five " are number, then the other numbers of auto-associating replace
The word " Lesson One " of " five ", " the second class " etc. are sample keyword.
S100 obtains operation pictorial information and keywords database.
S200 identifies the key of the operation in the operation pictorial information in conjunction with the keywords database by image recognition technology
Word.
S300 analyzes the operation keyword and obtains corresponding homework type.
S400 calls corresponding operation function according to the homework type.
In the present embodiment, a large amount of job information sample is obtained, analyzes to obtain sample wherein included by participle technique
Keyword, so that keywords database is established, convenient for the subsequent operation keyword quick and precisely identified in operation pictorial information.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in Figure 3, comprising:
S100 obtains operation pictorial information and keywords database.
S200 identifies the key of the operation in the operation pictorial information in conjunction with the keywords database by image recognition technology
Word.
The S200 identifies the work in the operation pictorial information by image recognition technology in conjunction with the keywords database
Industry keyword specifically includes:
S210 identifies the job information of the operation pictorial information by image recognition technology.
Specifically, passing through the text information in the operation pictorial information that image recognition technology identification obtains, to obtain pair
The job information answered.
S220 compares the job information and the keywords database, obtains the operation in the job information
Keyword.
Specifically, by all sample keywords for including in job information obtained above and the keywords database of acquisition by
One ground is matched, if matching result is consistent, obtains the operation keyword for including in operation pictorial information.
S300 analyzes the operation keyword and obtains corresponding homework type.
S400 calls corresponding operation function according to the homework type.
In the present embodiment, the operation pictorial information of user is identified by image recognition technology, then in conjunction with the key of foundation
Dictionary obtains operation keyword wherein included, and then basis rapidly and accurately calls corresponding operation function.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in Figure 4, comprising:
S010 obtains job information sample.
S020 segments the job information sample by participle technique to obtain sample participle.
S030 analyzes the job information sample and obtains the corresponding participle part of speech of the sample participle.
S040 extracts sample keyword from sample participle according to the participle part of speech.
S050 establishes the keywords database according to the sample keyword.
S100 obtains operation pictorial information and keywords database.
S200 identifies the key of the operation in the operation pictorial information in conjunction with the keywords database by image recognition technology
Word.
The S200 identifies the work in the operation pictorial information by image recognition technology in conjunction with the keywords database
Industry keyword specifically includes:
S210 identifies the job information of the operation pictorial information by image recognition technology.
S220 compares the job information and the keywords database, obtains the operation in the job information
Keyword.
S300 analyzes the operation keyword and obtains corresponding homework type.
S400 calls corresponding operation function according to the homework type.
Detailed description has been carried out in the concrete operations mode of each step in the present embodiment in the above-described embodiment,
Therefore it is no longer repeated one by one.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in Figure 5, comprising:
S100 obtains operation pictorial information and keywords database.
S200 identifies the key of the operation in the operation pictorial information in conjunction with the keywords database by image recognition technology
Word.
S300 analyzes the operation keyword and obtains corresponding homework type.
S400 calls corresponding operation function according to the homework type.
The S400 calls corresponding operation function to specifically include according to the homework type:
If including the corresponding sequence of operation of the homework type in the S410 operation pictorial information, according to the operation
Sequential selection homework type calls corresponding operation function.
Specifically, when there is multinomial operation to be done, if including homework type in the operation pictorial information obtained
The corresponding sequence of operation then calls corresponding operation function according to sequence of operation selection homework type, that is to say, that record to
There is the clearly mark sequence of operation when operation of completion, such as in the positions such as each operation above or below to be done number mark
Note, then call corresponding operation function according to the sequence of mark one by one.
If not including the corresponding sequence of operation of the homework type in the S420 operation pictorial information, work is randomly choosed
Industry type calls corresponding operation function.
Specifically, when there is multinomial operation to be done, if including homework type in the operation pictorial information obtained
The corresponding sequence of operation then randomly chooses homework type and calls corresponding operation function, that is to say, that records operation to be done
When not clearly mark the sequence of operation, then user can independently set or according to system setting homework type calling sequence,
Such as be directly called according to the sequence of record, or according to the sequence of subject, for example first call Chinese language, recall mathematics
Deng, then according to operation to be done type, for example first call dictation, rear call is read aloud.
It is corresponding to homework type according to different situations for there is the case where multinomial operation to be done in the present embodiment
The calling sequence of operation function carries out classification processing, to guarantee that auxiliary completes operation to be done in an orderly manner.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in Figure 6, comprising:
S100 obtains operation pictorial information and keywords database.
S200 identifies the key of the operation in the operation pictorial information in conjunction with the keywords database by image recognition technology
Word.
S300 analyzes the operation keyword and obtains corresponding homework type.
S400 calls corresponding operation function according to the homework type.
The S400 calls corresponding operation function according to the homework type further include:
S450 generates corresponding call instruction according to the homework type.
Specifically, corresponding call instruction is generated according to obtained homework type, for example, analysis operation pictorial information obtains
Homework type be dictate the 5th class of Chinese language new word, then generate corresponding call instruction: jumping to one grade first
Then the new word part of the 5th class of Chinese language prompts user to start to dictate, finally starts to dictate.
S460 calls corresponding operation function according to the call instruction.
Specifically, corresponding operation function is called according to the call instruction of generation, for example, the call instruction generated are as follows: first
The new word part of the 5th class of Chinese language is first jumped to, then user is prompted to start to dictate, finally starts to dictate, then according to
The call instruction jumps to the new word part of the 5th class of Chinese language first, then user is prompted to start to dictate, preset duration
Start to read aloud the new word part of the 5th class of Chinese language afterwards, user dictates.
In the present embodiment, corresponding call instruction is generated according to the homework type that analysis obtains, system refers to according to the calling
Corresponding operation function is called in order automatically, and user oneself is avoided to open operation function one by one manually, convenient and efficient.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in fig. 7, comprises:
S100 obtains operation pictorial information and keywords database.
S200 identifies the key of the operation in the operation pictorial information in conjunction with the keywords database by image recognition technology
Word.
S300 analyzes the operation keyword and obtains corresponding homework type.
S400 calls corresponding operation function according to the homework type.
The S400 calls corresponding operation function to specifically include according to the homework type:
If including the corresponding sequence of operation of the homework type in the S410 operation pictorial information, according to the operation
Sequential selection homework type calls corresponding operation function.
If not including the corresponding sequence of operation of the homework type in the S420 operation pictorial information, work is randomly choosed
Industry type calls corresponding operation function.
The S400 calls corresponding operation function according to the homework type further include:
S450 generates corresponding call instruction according to the homework type.
S460 calls corresponding operation function according to the call instruction.
Detailed description has been carried out in the concrete operations mode of each step in the present embodiment in the above-described embodiment,
Therefore it is no longer repeated one by one.
One embodiment of the present of invention, as shown in figure 8, a kind of system 100 of automatic identification job information, comprising:
Module 110 is obtained, operation pictorial information and keywords database are obtained.
Specifically, obtaining module 110 obtains operation pictorial information and keywords database.If user is by operation to be done
Be recorded in charge book this etc. on paperys notebook, then the operation to be done of record take pictures obtaining by camera
It is taken as industry pictorial information.Due to popularizing for present intelligent terminal, user may also be remembered with the memorandum etc. in intelligent terminal
Record is then only needed to carry out picture screenshotss and obtains operation pictorial information, or directly photographed to record using intelligent terminal to be done
Operation.
Identification module 120 is identified by image recognition technology in conjunction with the keywords database that the acquisition module 110 obtains
The operation keyword obtained in the operation pictorial information that module 110 obtains.
Specifically, the text information in the operation pictorial information that identification module 120 passes through image recognition technology identification acquisition,
The keywords database of obtained text information and acquisition is matched, to obtain the operation keyword in operation pictorial information.
Analysis module 130 analyzes the operation keyword that the identification module 120 obtains and obtains corresponding class of jobs
Type.
Specifically, analysis module 130, which analyzes operation keyword, obtains corresponding homework type, operation obtained above is crucial
Word is only merely multiple individual words, semantic possible and imperfect, therefore further to analyze supplement and obtain specific operation
Type.
For example, obtained operation keyword is " dictation ", " the 5th class ", " new word ", according to the user information of active user
Such as the corresponding grade of user, if it is one grade, then the corresponding homework type analyzed is a grade Chinese language the 5th of dictation
The new word of class.
Calling module 140 calls corresponding operation function according to the homework type that the analysis module 130 obtains.
Specifically, calling module 140 calls corresponding operation function according to homework type, for example, the operation that analysis obtains
Type is the new word for dictating the 5th class of Chinese language, then automatic jumps to the new word part of the 5th class of Chinese language, and mention
Show that user starts to dictate.
In the present embodiment, the job information of user is identified by image recognition technology, is corresponded to rapidly and accurately call
Operation function.And when the letter that the information of the operation to be done of user record is not complete or is identified by image recognition technology
Breath is not full-time, and analysis obtains corresponding homework type, consequently facilitating calling corresponding operation function.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in Figure 9, comprising:
Sample acquisition module 150 obtains job information sample.
Specifically, sample acquisition module 150 obtains job information sample, the type of job information sample may be text shape
Formula, it may be possible to speech form, it is also possible to graphic form, but due to it is subsequent be all to handle text, finally all
It needs to be converted into textual form.
Word segmentation module 160, the job information sample that the sample acquisition module 150 is obtained by participle technique into
Row participle obtains sample participle.
Part of speech analysis module 170, analyze the job information sample that the sample acquisition module 150 obtains obtain it is described
The sample that word segmentation module 160 obtains segments corresponding participle part of speech.
Specifically, word segmentation module 160 is segmented by job information sample of the participle technique to acquisition, several are obtained
Sample participle.Then the sentence structure that part of speech analysis module 170 analyzes job information sample determines that each sample participle corresponds to
Participle part of speech.
For example, some job information sample are as follows: the new word of the 5th class of dictation is segmented by participle technique
Sample participle are as follows: " dictation ", " the 5th class ", " " and " new word ", corresponding participle part of speech be respectively as follows: verb, noun, function word
And noun.
Extraction module 180, the participle part of speech obtained according to the part of speech analysis module 170 is from sample participle
Extract sample keyword.
Specifically, extraction module 180 obtains participle part of speech extraction sample key from all sample participles according to analysis
Word, such as some job information sample are as follows: the new word of the 5th class of dictation, the sample point segmented by participle technique
Word are as follows: " dictation ", " the 5th class ", " " and " new word ", corresponding participle part of speech be respectively as follows: verb, noun, function word and name
Word, the sample keyword of extraction are " dictation ", " the 5th class " and " new word ".
Dictionary establishes module 190, establishes the keyword according to the sample keyword that the extraction module 180 obtains
Library.
Specifically, dictionary, which establishes module 190, establishes keywords database according to the sample keyword of said extracted, in addition, system
Can be with auto-associating sample keyword, such as " the 5th class " is sample keyword, identifies that wherein " five " are number, then automatically
Being associated with other numbers replaces the word " Lesson One " of " five ", " the second class " etc. for sample keyword.
Module 110 is obtained, operation pictorial information and keywords database are obtained.
Identification module 120 is identified by image recognition technology in conjunction with the keywords database that the acquisition module 110 obtains
The operation keyword obtained in the operation pictorial information that module 110 obtains.
Analysis module 130 analyzes the operation keyword that the identification module 120 obtains and obtains corresponding class of jobs
Type.
Calling module 140 calls corresponding operation function according to the homework type that the analysis module 130 obtains.
In the present embodiment, a large amount of job information sample is obtained, analyzes to obtain sample wherein included by participle technique
Keyword, so that keywords database is established, convenient for the subsequent operation keyword quick and precisely identified in operation pictorial information.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in Figure 10, comprising:
Module 110 is obtained, operation pictorial information and keywords database are obtained.
Identification module 120 is identified by image recognition technology in conjunction with the keywords database that the acquisition module 110 obtains
The operation keyword obtained in the operation pictorial information that module 110 obtains.
The identification module 120 specifically includes:
Recognition unit 121 identifies the operation pictorial information that the acquisition module 110 obtains by image recognition technology
Job information.
Specifically, the text information in the operation pictorial information that recognition unit 121 passes through image recognition technology identification acquisition,
To obtain corresponding job information.
Comparison unit 122 obtains the job information that the recognition unit 121 obtains and the acquisition module 110
The keywords database compare, obtain the operation keyword in the job information.
Specifically, comparison unit 122 is all by include in job information obtained above and the keywords database of acquisition
Sample keyword is seriatim matched, if matching result is consistent, obtains the operation for including in operation pictorial information key
Word.
Analysis module 130 analyzes the operation keyword that the identification module 120 obtains and obtains corresponding class of jobs
Type.
Calling module 140 calls corresponding operation function according to the homework type that the analysis module 130 obtains.
In the present embodiment, the operation pictorial information of user is identified by image recognition technology, then in conjunction with the key of foundation
Dictionary obtains operation keyword wherein included, and then basis rapidly and accurately calls corresponding operation function.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in figure 11, comprising:
Module 110 is obtained, operation pictorial information and keywords database are obtained.
Identification module 120 is identified by image recognition technology in conjunction with the keywords database that the acquisition module 110 obtains
The operation keyword obtained in the operation pictorial information that module 110 obtains.
Analysis module 130 analyzes the operation keyword that the identification module 120 obtains and obtains corresponding class of jobs
Type.
Calling module 140 calls corresponding operation function according to the homework type that the analysis module 130 obtains.
The calling module 140 specifically includes:
Call unit 141, if described obtain includes the homework type in the operation pictorial information that module 110 obtains
The corresponding sequence of operation then calls corresponding operation function according to sequence of operation selection homework type.
Specifically, when there is multinomial operation to be done, if including homework type in the operation pictorial information obtained
The corresponding sequence of operation, then call unit 141 calls corresponding operation function according to sequence of operation selection homework type, also
It is to say when recording operation to be done to have the clearly mark sequence of operation, such as in each operation above or below equipotential to be done
It sets and is marked with number, then corresponding operation function is called according to the sequence of mark one by one.
Selection unit 142, if in the operation pictorial information not including the corresponding sequence of operation of the homework type, with
Machine selects homework type.
The call unit 141 calls corresponding operation function according to the homework type that the selection unit 142 is chosen
Energy.
Specifically, when there is multinomial operation to be done, if including homework type in the operation pictorial information obtained
The corresponding sequence of operation, then selection unit 142 randomly chooses homework type, and call unit 141 is chosen according to selection unit 142
Homework type calls corresponding operation function, that is to say, that the sequence of operation is not marked clearly when recording operation to be done, that
User can independently set or sequentially, such as directly carry out according to the sequence of record according to the calling of system setting homework type
Call, or according to the sequence of subject, for example first call Chinese language, recall mathematics etc., then according to operation to be done class
Type, for example first calls dictation, and rear call is read aloud.
It is corresponding to homework type according to different situations for there is the case where multinomial operation to be done in the present embodiment
The calling sequence of operation function carries out classification processing, to guarantee that auxiliary completes operation to be done in an orderly manner.
Another embodiment of the invention is the optimal enforcement example of the above embodiments, as shown in figure 12, comprising:
Module 110 is obtained, operation pictorial information and keywords database are obtained.
Identification module 120 is identified by image recognition technology in conjunction with the keywords database that the acquisition module 110 obtains
The operation keyword obtained in the operation pictorial information that module 110 obtains.
Analysis module 130 analyzes the operation keyword that the identification module 120 obtains and obtains corresponding class of jobs
Type.
Calling module 140 calls corresponding operation function according to the homework type that the analysis module 130 obtains.
The calling module 140 further include:
Generation unit 143 generates corresponding call instruction according to the homework type that the analysis module 130 obtains.
Specifically, generation unit 143 generates corresponding call instruction according to obtained homework type, for example, analysis operation
The homework type that pictorial information obtains is the new word for dictating the 5th class of Chinese language, then generates corresponding call instruction: first
The new word part of the 5th class of Chinese language is jumped to, then user is prompted to start to dictate, finally starts to dictate.
The call unit 141 calls corresponding operation function according to the call instruction that the generation unit 143 generates
Energy.
Specifically, call unit 141 calls corresponding operation function according to the call instruction of generation, for example, the tune generated
With instruction are as follows: jump to the new word part of the 5th class of Chinese language first, then user is prompted to start to dictate, finally start to listen
It writes, then jumping to the new word part of the 5th class of Chinese language first according to the call instruction, then user is prompted to start to listen
It writes, starts the new word part for reading aloud the 5th class of Chinese language after preset duration, user dictates.
In the present embodiment, corresponding call instruction is generated according to the homework type that analysis obtains, system refers to according to the calling
Corresponding operation function is called in order automatically, and user oneself is avoided to open operation function one by one manually, convenient and efficient.
It should be noted that above-described embodiment can be freely combined as needed.The above is only of the invention preferred
Embodiment, it is noted that for those skilled in the art, in the premise for not departing from the principle of the invention
Under, several improvements and modifications can also be made, these modifications and embellishments should also be considered as the scope of protection of the present invention.
Claims (10)
1. a kind of method of automatic identification job information characterized by comprising
Obtain operation pictorial information and keywords database；
The operation keyword in the operation pictorial information is identified in conjunction with the keywords database by image recognition technology；
It analyzes the operation keyword and obtains corresponding homework type；
Corresponding operation function is called according to the homework type.
2. the method for automatic identification job information according to claim 1, which is characterized in that the acquisition operation picture
Include: before information and keywords database
Obtain job information sample；
The job information sample is segmented by participle technique to obtain sample participle；
It analyzes the job information sample and obtains the corresponding participle part of speech of the sample participle；
Sample keyword is extracted from sample participle according to the participle part of speech；
The keywords database is established according to the sample keyword.
3. the method for automatic identification job information according to claim 1 or 2, which is characterized in that described passes through image
Identification technology identifies that the operation keyword in the operation pictorial information specifically includes in conjunction with the keywords database:
The job information of the operation pictorial information is identified by image recognition technology；
The job information and the keywords database are compared, the operation keyword in the job information is obtained.
4. the method for automatic identification job information according to claim 1, which is characterized in that described according to the operation
Type calls corresponding operation function to specifically include:
If in the operation pictorial information including the corresponding sequence of operation of the homework type, selected according to the sequence of operation
Homework type calls corresponding operation function；
If not including the corresponding sequence of operation of the homework type in the operation pictorial information, homework type tune is randomly choosed
With corresponding operation function.
5. the method for automatic identification job information according to claim 1 or 4, which is characterized in that described according to
Homework type calls corresponding operation function further include:
Corresponding call instruction is generated according to the homework type；
Corresponding operation function is called according to the call instruction.
6. a kind of system of automatic identification job information characterized by comprising
Module is obtained, operation pictorial information and keywords database are obtained；
Identification module identifies the acquisition mould in conjunction with the keywords database that the acquisition module obtains by image recognition technology
The operation keyword in the operation pictorial information that block obtains；
Analysis module analyzes the operation keyword that the identification module obtains and obtains corresponding homework type；
Calling module calls corresponding operation function according to the homework type that the analysis module obtains.
7. the system of automatic identification job information according to claim 6, which is characterized in that further include:
Sample acquisition module obtains job information sample；
Word segmentation module is segmented to obtain by participle technique to the job information sample that the sample acquisition module obtains
Sample participle；
Part of speech analysis module, the job information sample for analyzing the sample acquisition module acquisition obtain the word segmentation module and obtain
The sample arrived segments corresponding participle part of speech；
Extraction module, the participle part of speech obtained according to the part of speech analysis module are extracted sample from sample participle and are closed
Keyword；
Dictionary establishes module, establishes the keywords database according to the sample keyword that the extraction module obtains.
8. the system of automatic identification job information according to claim 6 or 7, which is characterized in that the identification module tool
Body includes:
Recognition unit identifies that the operation for the operation pictorial information that the acquisition module obtains is believed by image recognition technology
Breath；
Comparison unit, the job information that the recognition unit is obtained and the keywords database for obtaining module and obtaining
It compares, obtains the operation keyword in the job information.
9. the system of automatic identification job information according to claim 6, which is characterized in that the calling module specifically wraps
It includes:
Call unit, if described obtain includes the corresponding operation of the homework type in the operation pictorial information that module obtains
Sequentially, then corresponding operation function is called according to sequence of operation selection homework type；
Selection unit randomly chooses if not including the corresponding sequence of operation of the homework type in the operation pictorial information
Homework type；
The call unit calls corresponding operation function according to the homework type that the selection unit is chosen.
10. the system of automatic identification job information according to claim 6 or 9, which is characterized in that the calling module is also
Include:
Generation unit generates corresponding call instruction according to the homework type that the analysis module obtains；
The call unit calls corresponding operation function according to the call instruction that the generation unit generates.
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Application publication date: 20190517 |