CN207037679U - A kind of system of quick scanning invoice information - Google Patents
A kind of system of quick scanning invoice information Download PDFInfo
- Publication number
- CN207037679U CN207037679U CN201720518592.5U CN201720518592U CN207037679U CN 207037679 U CN207037679 U CN 207037679U CN 201720518592 U CN201720518592 U CN 201720518592U CN 207037679 U CN207037679 U CN 207037679U
- Authority
- CN
- China
- Prior art keywords
- information
- module
- invoice
- image
- code
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Character Discrimination (AREA)
- Character Input (AREA)
Abstract
A kind of system of quick scanning invoice information, including image collection module, for obtaining image, discriminance analysis module is passed to by image information;The discriminance analysis module is used to analyze the image that image collection module obtains, and judges the information attribute in image and pass information to data obtaining module according to attribute;Described information acquisition module, data obtaining module obtains information from discriminance analysis module, and the result after analysis is passed into output module;Invoice information is sent to invoice issuing system by the output module.The collaborative work that the utility model passes through image collection module, discriminance analysis module and data obtaining module, information of making out an invoice can be obtained from either geometric code or word, and the information transmission that will make out an invoice is to output module, complete the output of final information of making out an invoice, and correcting module is set in output module, for improving the accuracy of information, and provide the interface of user's manual intervention.
Description
Technical field:
It the utility model is related to a kind of system of quick scanning invoice information.
Background technology:
When usually consumer need issues invoice, usually client provides the new line title of invoice to unit of making out an invoice, if needing
VAT invoice is issued, then does not need only provide for coming back, it is also necessary to provides the trifling information such as information of opening an account, which results in open
The time of one invoice of tool greatly prolongs;And due to being required for client to provide every time making out an invoice being manually entered again after information, mistake herein
The mistake of typing information may be caused in journey, not only cost was high, efficiency is low this time for causing customer acquisition invoice, it is also possible to goes out
The situation of existing wrong ticket.Because the personnel to go on business often typically can have such as business card, function company publicity brochure even company to make out an invoice letter
Picture, the Quick Response Code of breath either link, but according to existing condition, this information still needs to show the personnel of making out an invoice
Afterwards, made out an invoice again after the personnel of making out an invoice are manually entered, this greatly reduces operating efficiency and the degree of accuracy.Prior art does not solve to this
Plan certainly.
Utility model content:
The purpose of this utility model is aiming at disadvantages mentioned above existing for prior art, there is provided a kind of quick scanning invoice
The system of information, system design is reasonable, and invoice issuing equipment can be made quickly to obtain invoice information, solve and deposit in the prior art
The problem of.
The utility model is that technical scheme is used by solving above-mentioned technical problem:
A kind of system of quick scanning invoice information, including image collection module, for obtaining image, image information is passed
Pass discriminance analysis module;
The discriminance analysis module is used to analyze the image that image collection module obtains, and judges the information attribute in image
And data obtaining module is passed information to according to attribute;
Described information acquisition module, data obtaining module obtain information from discriminance analysis module, and by the result after analysis
Pass to output module;
Invoice information is sent to invoice issuing system by the output module.
Preferably, described image acquisition module is CCD camera lenses, and described image information is digital image information.
Preferably, described information acquisition module includes geometric code identification module and OCR identification modules.
Preferably, the geometric code identification module includes first information acquisition module, the first discriminance analysis module;Described
One data obtaining module is used to obtain the geometric code information that discriminance analysis module obtains;The first discriminance analysis module is used to know
Other geometric code simultaneously obtains invoice information, and invoice information then is sent into output module.
Preferably, the OCR identification modules include the second data obtaining module, the second discriminance analysis module;Described second
Data obtaining module is used to obtain the image information that discriminance analysis module obtains;The second discriminance analysis module is used for image
Text information translates to primary textual information, and invoice information is then extracted from primary textual information and is sent to invoice information
Output module.
Preferably, correcting module is provided with the output module, the correcting module is used to correct the hair in output module
Ticket information.
Preferably, the corresponding network address of the geometric code, first identification module is by accessing above-mentioned network address
Extract invoice information.
Preferably, the geometric code is bar code or Quick Response Code.
Preferably, the bar code is encrypted barcode;The Quick Response Code is ciphering two-dimension code.
Compared with prior art, the utility model has the advantages that:Pass through image collection module, discriminance analysis module and information
The collaborative work of acquisition module, information of making out an invoice, and the information transmission that will make out an invoice can be obtained from either geometric code or word
To output module, the output of final information of making out an invoice is completed, and correcting module is set in output module, for improving information
Accuracy, and provide the interface of user's manual intervention.
Brief description of the drawings:
Fig. 1 is schematic diagram of the present utility model.
Embodiment:
For the technical characterstic for illustrating this programme can be understood, below by embodiment, and its accompanying drawing is combined, to this reality
It is described in detail with new.
As shown in figure 1, a kind of system of quick scanning invoice information, including image collection module, will for obtaining image
Image information passes to discriminance analysis module;
The discriminance analysis module is used to analyze the image that image collection module obtains, and judges the information attribute in image
And data obtaining module is passed information to according to attribute;
Described information acquisition module, data obtaining module obtain information from discriminance analysis module, and by the result after analysis
Pass to output module;
Invoice information is sent to invoice issuing system by the output module.
Described image acquisition module is CCD camera lenses, and described image information is digital image information.Be advantageous to acquisition of information mould
The quick identification information of block, and information is quickly distributed.
Described information acquisition module includes geometric code identification module and OCR identification modules.Data obtaining module is by by institute
The frame structure of chief component and geometric code is contrasted in obtained image, is passed to image information if meeting several
What yard identification module, otherwise pass to OCR identification modules.
The geometric code identification module includes first information acquisition module, the first discriminance analysis module;The first information
Acquisition module is used to obtain the geometric code information that discriminance analysis module obtains;The first discriminance analysis module is used to identify geometry
Code simultaneously obtains invoice information, and invoice information then is sent into output module.Geometric code is due to inherently carrying information, if in itself
As invoice information, then directly information can be transmitted downwards;If being in itself network linking, the first identification module should by accessing
Network linking obtains invoice information.
The OCR identification modules include the second data obtaining module, the second discriminance analysis module;Second acquisition of information
Module is used to obtain the image information that discriminance analysis module obtains;The second discriminance analysis module is used for pictograph information
Primary textual information is translated to, invoice information is then extracted from primary textual information and invoice information is sent to output mould
Block.Image information is converted into by text information by the second discriminance analysis module, then extracts information, the mode for extracting information can
Following printed words are paid close attention in identification for keyword extraction method, such as exabyte:Company, limited, group, place name etc..
Correcting module is provided with the output module, the correcting module is used to correct the invoice information in output module.
If having flaw in the information that data obtaining module does not get information or got, can be supplemented by correcting module or
Correction, the approach of manual intervention can be provided herein.
The corresponding network address of the geometric code, first identification module extract invoice by accessing above-mentioned network address
Information.
The geometric code is bar code or Quick Response Code.
The bar code is encrypted barcode;The Quick Response Code is ciphering two-dimension code.
Embodiment 1:
S1, user using personal business card by the utility model obtain make out an invoice information when, first by person provide business card;
S2, the utility model obtain the information on business card using CCD camera lenses;
S3, discriminance analysis module fail to detect the shape that geometric code is similar, therefore the image information is passed into OCR and known
Other module;
Image information is converted into word by S4, OCR identification module first, is then opened by keyword extraction to exabyte etc.
Ticket information, multiple dimensions can be set herein and verified, such as whether being exabyte, it may be verified that the word such as place name, " company "
Sample;
S5, the information that will make out an invoice output, in the process, user can use correcting module to carry out Information revision and benefit
Fill.
In the process, if also needing to more information, such as bank of deposit, account etc., then do not need to use person to provide again more
Image, repeat the above steps, until information supplement is finished.
Embodiment 2:
S1, user obtain information of making out an invoice using Quick Response Code by the utility model, and Quick Response Code is provided first by person;
S2, the information using CCD camera lenses acquisition Quick Response Code;
S3, discriminance analysis module can detect the similar shape of geometric code, therefore the image information is passed into geometric code
Identification module;
S4, geometric code identification module identify the information of geometric code first, will a mould directly down if being directly information of making out an invoice
Block transmission, if network linking, then the address acquisition is accessed by the first identification module and make out an invoice after information that a module passes still further below
Pass;
S5, the information that will make out an invoice output, in the process, user can use correcting module to carry out Information revision and benefit
Fill.
In the process, if also needing to more information, such as bank of deposit, account etc., if having this in the former image provided
Kind information, then automatic identification acquisition;If not having above-mentioned information in the image that original provides, the person of needing to use provides more again
Image, repeat the above steps, until the information supplement that will make out an invoice is complete.
Embodiment 3:
S1, user obtain information of making out an invoice using Quick Response Code by the utility model, and Quick Response Code is provided first by person;
S2, the information using CCD camera lenses acquisition Quick Response Code;
S3, discriminance analysis module can detect the similar shape of geometric code, therefore the image information is passed into geometric code
Identification module;
S4, geometric code identification module identify the information of geometric code first, if being directly information of making out an invoice, directly will down pass
Pass, if network linking, then the network linking address acquisition is accessed by the first identification module and made out an invoice information;If tested by above-mentioned
After card, the related content of information of not making out an invoice, then discriminance analysis module the image information is passed into OCR identification modules again;
Image information is converted into word by S5, OCR identification module first, is then believed by keyword extraction to exabyte etc.
Breath, multiple dimensions can be set herein and verified, such as whether being exabyte, it may be verified that the printed words such as place name, " company ";
S6, the information that will make out an invoice output, in the process, user can use correcting module to carry out Information revision and benefit
Fill.
In the process, if also needing to more information, such as bank of deposit, account etc., then do not need to use person to provide again more
Image, repeat the above steps, until information supplement is finished.
Above-mentioned embodiment cannot function as the limitation to scope of protection of the utility model, for the skill of the art
For art personnel, any alternate modification or conversion made to the utility model embodiment all fall within guarantor of the present utility model
In the range of shield.
Part is not described in detail for the utility model, is the known technology of those skilled in the art of the present technique.
Claims (9)
- A kind of 1. system of quick scanning invoice information, it is characterised in that:Including image collection module, for obtaining image, image information is passed into discriminance analysis module;The discriminance analysis module is used to analyze the image that image collection module obtains, and judges the information attribute in image and root Data obtaining module is passed information to according to attribute;Described information acquisition module, data obtaining module obtain information from discriminance analysis module, and by the result transmission after analysis To output module;Invoice information is sent to invoice issuing system by the output module.
- A kind of 2. system of quick scanning invoice information according to claim 1, it is characterised in that:Described image obtains mould Block is CCD camera lenses, and described image information is digital image information.
- A kind of 3. system of quick scanning invoice information according to claim 1, it is characterised in that:Described information obtains mould Block includes geometric code identification module and OCR identification modules.
- A kind of 4. system of quick scanning invoice information according to claim 3, it is characterised in that:The geometric code identification Module includes first information acquisition module, the first discriminance analysis module;The first information acquisition module is used to obtain identification point The geometric code information that analysis module obtains;The first discriminance analysis module is for identifying geometric code and obtaining invoice information, then Invoice information is sent to output module.
- A kind of 5. system of quick scanning invoice information according to claim 3, it is characterised in that:The OCR identifies mould Block includes the second data obtaining module, the second discriminance analysis module;Second data obtaining module is used to obtain discriminance analysis The text information that module obtains;It is primary textual information that the second discriminance analysis module, which is used for pictograph information translation, Then invoice information is extracted from primary textual information and invoice information is sent to output module.
- A kind of 6. system of quick scanning invoice information according to claim 1, it is characterised in that:In the output module Provided with correcting module, the correcting module is used to correct the invoice information in output module.
- A kind of 7. system of quick scanning invoice information according to claim 4, it is characterised in that:The geometric code is corresponding One network address, first identification module extract invoice information by accessing above-mentioned network address.
- A kind of 8. system of quick scanning invoice information according to claim 1, it is characterised in that:The geometric code is bar Shape code or Quick Response Code.
- A kind of 9. system of quick scanning invoice information according to claim 8, it is characterised in that:The bar code is to add Close bar code;The Quick Response Code is ciphering two-dimension code.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201720518592.5U CN207037679U (en) | 2017-05-10 | 2017-05-10 | A kind of system of quick scanning invoice information |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201720518592.5U CN207037679U (en) | 2017-05-10 | 2017-05-10 | A kind of system of quick scanning invoice information |
Publications (1)
Publication Number | Publication Date |
---|---|
CN207037679U true CN207037679U (en) | 2018-02-23 |
Family
ID=61479890
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201720518592.5U Active CN207037679U (en) | 2017-05-10 | 2017-05-10 | A kind of system of quick scanning invoice information |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN207037679U (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109977245A (en) * | 2019-03-11 | 2019-07-05 | 河南发明哥知识产权代理有限公司 | A kind of data gathering system based on the identification of intelligent picture and text |
CN110910560A (en) * | 2018-09-12 | 2020-03-24 | 阿里巴巴集团控股有限公司 | Invoice information processing method, device and system |
-
2017
- 2017-05-10 CN CN201720518592.5U patent/CN207037679U/en active Active
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110910560A (en) * | 2018-09-12 | 2020-03-24 | 阿里巴巴集团控股有限公司 | Invoice information processing method, device and system |
CN110910560B (en) * | 2018-09-12 | 2021-10-22 | 阿里巴巴集团控股有限公司 | Invoice information processing method, device and system |
CN109977245A (en) * | 2019-03-11 | 2019-07-05 | 河南发明哥知识产权代理有限公司 | A kind of data gathering system based on the identification of intelligent picture and text |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9495445B2 (en) | Document sorting system, document sorting method, and document sorting program | |
CN109101469B (en) | Extracting searchable information from digitized documents | |
US9430453B1 (en) | Multi-page document recognition in document capture | |
WO2015143970A1 (en) | Information collecting system and method based on two-dimensional code | |
JP2968145B2 (en) | Advanced data collection method and data processing system | |
CN103678109B (en) | A kind of dump file analysis method, device and system | |
US20100128922A1 (en) | Automated generation of form definitions from hard-copy forms | |
CN103177128A (en) | Method and system for processing bill crown word number information | |
CN103390319A (en) | Bank bill automatic processor and application method thereof | |
CN112418812A (en) | Distributed full-link automatic intelligent clearance system, method and storage medium | |
Maiti et al. | Capturing, eliciting, and prioritizing (CEP) NFRs in agile software engineering | |
CN105809814A (en) | Invoice certification system supporting multiple invoice types and method | |
CN109684957A (en) | A kind of method and system showing system data according to paper form automatically | |
JP2019204535A (en) | Accounting support system | |
CN106776880A (en) | A kind of paper based on picture and text identification reviews system and method | |
CN207037679U (en) | A kind of system of quick scanning invoice information | |
CN110941702A (en) | Retrieval method and device for laws and regulations and laws and readable storage medium | |
CN103425466A (en) | Color matching processing method and color matching processing device | |
CN110347709A (en) | A kind of construction method and system of regulation engine | |
CN114973290A (en) | Intelligent order examination method and system based on OCR engine | |
CN104408403B (en) | A kind of referee method that secondary typing is inconsistent and device | |
WO2008127443A1 (en) | Image data extraction automation process | |
CN107291789A (en) | Invoice information indexing means and system | |
US20170075986A1 (en) | Document analysis system, document analysis method, and document analysis program | |
CN103425976B (en) | A kind of case report table identification system and recognition methods |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CP03 | Change of name, title or address |
Address after: Room 1301, 13 / F, China Europe alumni industrial building, No.3 maolingshan Road, Jinan area, China (Shandong) pilot Free Trade Zone, Jinan City, Shandong Province Patentee after: Shandong Youren networking Co.,Ltd. Address before: 250101 1105, building 1, Aosheng building, 1166 Xinluo street, high tech Zone, Jinan City, Shandong Province Patentee before: SHANDONG YOUREN INFORMATION TECHNOLOGY Co.,Ltd. |
|
CP03 | Change of name, title or address |