CN105654146A - Discrete data processing method - Google Patents
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- CN105654146A CN105654146A CN201511022821.6A CN201511022821A CN105654146A CN 105654146 A CN105654146 A CN 105654146A CN 201511022821 A CN201511022821 A CN 201511022821A CN 105654146 A CN105654146 A CN 105654146A
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- 239000011159 matrix material Substances 0.000 claims abstract description 39
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/24—Character recognition characterised by the processing or recognition method
- G06V30/242—Division of the character sequences into groups prior to recognition; Selection of dictionaries
- G06V30/244—Division of the character sequences into groups prior to recognition; Selection of dictionaries using graphical properties, e.g. alphabet type or font
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Abstract
The embodiment of the invention relates to a discrete data processing method. The method includes the following steps that: an identification device is utilized to obtain the image data of dot matrix regions of a user identity identification region; the image data are identified as user identity information; discrete image data of all discrete dot matrix regions are obtained; all the discrete image data form a data packet, and the data packet is sent to an upper computer; the upper computer analyzes the data packet so as to obtain a first discrete dot matrix datum corresponding to each discrete image datum; each first discrete dot matrix datum is identified as a first discrete identification datum; and matching processing is performed on different first discrete identification data and corresponding first standard discrete identification data. With the discrete data processing method of the invention provided by the embodiment of the invention adopted, under the condition that traditional writing habits are not changed, the accuracy of machine recognition can be improved through the recognition and matching of dot matrix codes, and batch processing of discrete data can be realized, processing results can be displayed timely, and data processing efficiency is high.
Description
Technical field
The present invention relates to technical field of data processing, particularly relate to a kind of discrete data processing method.
Background technology
Along with the development of information technology, informationization has penetrated in society's industry-by-industry and field.
In traditional education teaching method, when student is examined by teacher, it is necessary to correct an examination paper one by one, it is impossible to realize the paper batch processing to examinee, inefficiency. The form of machine-readable answer sheet of the prior art, it is necessary to examinee uses pencil filling answer sheets, if full-filling is nonstandard, machine None-identified. And, this form needs examinee to be submitted by answering card, then is uniformly processed, and has hysteresis quality, and on classroom, teacher cannot immediately appreciate that the answer situation of student.
Summary of the invention
It is an object of the invention to provide a kind of discrete data processing method, with solve classroom teaching teacher cannot the problem of the instant answer situation understanding student of batch.
For achieving the above object, the invention provides a kind of discrete data processing method, described method includes:
Utilize the view data in the dot matrix region identifying that device obtains user identity identification district;
Described view data is identified as subscriber identity information;
Obtain the discrete image data in all discrete dot matrix regions;
All described discrete image data are generated packet and is sent to host computer;
Described host computer resolves described packet, obtains each the first discrete dot array data corresponding to each discrete image data;
Each first discrete dot array data described is identified as first discrete identification data;
Different described first discrete identification data are carried out matching treatment with the first corresponding normal scatter identification data.
Further, before utilizing the view data in the dot matrix region identifying device acquisition user identity identification district, described method also includes:
In dot matrix region, input information by described identification device, produce pressure signal;
Described pressure signal triggers and starts the built-in photographic head of described identification device, processor and memorizer.
Further, described method also includes:
Described second discrete dot array data is identified as performance data, performs corresponding function event.
Further, described all described discrete image data are generated packet it be sent to host computer and specifically include:
Described processor converts all described discrete image data to digital signal, and generates packet;
By described Data Packet Encryption, obtain encrypted packets;
By data-interface timing, described encrypted packets is sent to host computer.
Further, described data-interface is wired data interface or wireless data interface; Described wired data interface is specially USB interface, MiniUSB interface, MicroUSB interface, parallel port, serial ports; Described wireless data interface is specially blue tooth interface, infrared interface, Wifi interface, 2.4-5.0GHz wave band interface or wireless communication interface.
Further, different described discrete identification data and normal scatter identification data are carried out matching treatment to specifically include:
When described first discrete identification data are identical with described first normal scatter identification data, then increase this threshold data corresponding to the first normal scatter identification data.
Further, described method also includes:
Described subscriber identity information is set up with described first discrete identification data and associates;
After all first discrete identification data corresponding to each user and described first normal scatter identification Data Matching have processed, show the described threshold data of subscriber identity information and correspondence.
Further, described dot matrix region is specially the writing paper or electronic whiteboard with dot-matrix array.
The discrete data processing method that the embodiment of the present invention provides, when not changing tradition writing style, by identification that dot matrix is encoded with mate, improve the accuracy rate of machine recognition, achieve discrete data batch processing, instant playback result, process data efficiency high.
Accompanying drawing explanation
The flow chart of the discrete data processing method that Fig. 1 provides for the embodiment of the present invention;
A dot matrix schematic diagram in the dot-matrix array that Fig. 2 provides for the embodiment of the present invention.
Detailed description of the invention
Below by drawings and Examples, technical scheme is described in further detail.
Technical solution of the present invention is suitable in daily life, education and instruction, by the scene of hand-written answering information digitized processing.
The flow chart of the discrete data processing method that Fig. 1 provides for the embodiment of the present invention. As it is shown in figure 1, the discrete data processing method of the embodiment of the present invention includes:
Step 101, utilizes the view data in the dot matrix region identifying that device obtains user identity identification district.
Specifically, by identifying that device inputs information in dot matrix region, pressure signal is produced; Pressure signal triggers and starts the built-in photographic head of identification device, processor and memorizer; Photographic head is utilized to obtain the view data in the dot matrix region identifying device process.
Wherein, photographic head is high-speed camera head, it is possible to the speed of 100 per second, the dot matrix that identification device is passed is taken pictures.
Dot matrix region can be writing paper or the electronic whiteboard with dot-matrix array. Dot-matrix array is by some very tiny points, according to the regularly arranged composition of particular algorithm. The effect of dot matrix is available to identification one coordinate parameters information of device, it is ensured that identify when device moves on dot matrix paper, it is possible to record movement locus accurately.
Dot-matrix array is made up of several dot matrix, and each dot matrix is made up of several points. Such as, every 36 points, permutation and combination becomes a dot matrix, as shown in Figure 2. Average distance between 2 is 0.3mm.Each dot matrix be sized to 1.8mm �� 1.8mm. Dot matrix, by special coded system, represents special co-ordinate position information.
Step 102, is identified as subscriber identity information by described view data.
Identify that the view data that the dot matrix region in user identity identification district gets is sent to host computer by device, view data can be the view data according to the bar code of subscriber identity information generation, Quick Response Code, dot matrix etc., the lattice coordinates of view data is identified as subscriber identity information by host computer, and comparing with the subscriber identity information prestored, so that it is determined that user identity.
Step 103, obtains the discrete image data in all discrete dot matrix regions.
Owing to the position of answer district the respective option is discrete, identify that the built-in camera of device is sent to host computer after needing to obtain all discrete image data.
All described discrete image data are generated packet and are sent to host computer by step 104.
Specifically, view data is converted to digital signal by processor, and generates packet; By Data Packet Encryption, obtain encrypted packets; By data-interface, encrypted packets is sent to host computer.
Wherein, data-interface is wired data interface or wireless data interface; Wired data interface is specially USB interface, MiniUSB interface, MicroUSB interface, parallel port, serial ports; Wireless data interface is specially blue tooth interface, infrared interface, Wifi interface, 2.4-5.0GHz wave band interface or wireless communication interface.
Step 105, described host computer resolves described packet, obtains each the first discrete dot array data corresponding to each discrete image data.
After host computer resolution data bag, obtain each the first discrete lattice coordinates corresponding to each discrete image data.
Step 106, is identified as first discrete identification data by each first discrete dot array data described.
Wherein, the first discrete dot array data is specifically as follows the dot array data corresponding to the respective option of objective item; Second discrete dot array data is specifically as follows the dot array data that functional icon is corresponding.
When the first discrete dot array data is identified as first discrete identification data by host computer, continue executing with step 107;
When just the second discrete dot array data is identified as performance data to host computer, then perform the function event of correspondence. Function event is specifically as follows " replacement ", " handing in an examination paper " etc.
Different described first discrete identification data are carried out matching treatment with the first corresponding normal scatter identification data by step 107.
Specifically, when described first discrete identification data are identical with described first normal scatter identification data, then this threshold data corresponding to the first normal scatter identification data is increased.
Described method also includes: is set up with described first discrete identification data by described subscriber identity information and associates;
After all first discrete identification data corresponding to each user and described first normal scatter identification Data Matching have processed, show the described threshold data of subscriber identity information and correspondence.
The discrete data processing method that the embodiment of the present invention provides, when not changing tradition writing style, by identification that dot matrix is encoded with mate, improve the accuracy rate of machine recognition, achieve discrete data batch processing, instant playback result, process data efficiency high.
Professional should further appreciate that, the unit of each example described in conjunction with the embodiments described herein and algorithm steps, can with electronic hardware, computer software or the two be implemented in combination in, in order to clearly demonstrate the interchangeability of hardware and software, generally describe composition and the step of each example in the above description according to function.These functions perform with hardware or software mode actually, depend on application-specific and the design constraint of technical scheme. Professional and technical personnel specifically can should be used for using different methods to realize described function to each, but this realization is it is not considered that beyond the scope of this invention.
The method described in conjunction with the embodiments described herein or the step of algorithm can use the software module that hardware, processor perform, or the combination of the two is implemented. Software module can be placed in any other form of storage medium known in random access memory (RAM), internal memory, read only memory (ROM), electrically programmable ROM, electrically erasable ROM, depositor, hard disk, moveable magnetic disc, CD-ROM or technical field.
Above-described detailed description of the invention; the purpose of the present invention, technical scheme and beneficial effect have been further described; it is it should be understood that; the foregoing is only the specific embodiment of the present invention; the protection domain being not intended to limit the present invention; all within the spirit and principles in the present invention, any amendment of making, equivalent replacement, improvement etc., should be included within protection scope of the present invention.
Claims (8)
1. a discrete data processing method, it is characterised in that described method includes:
Utilize the view data in the dot matrix region identifying that device obtains user identity identification district;
Described view data is identified as subscriber identity information;
Obtain the discrete image data in all discrete dot matrix regions;
All described discrete image data are generated packet and is sent to host computer;
Described host computer resolves described packet, obtains each the first discrete dot array data corresponding to each discrete image data;
Each first discrete dot array data described is identified as first discrete identification data;
Different described first discrete identification data are carried out matching treatment with the first corresponding normal scatter identification data.
2. discrete data processing method according to claim 1, it is characterised in that before utilizing the view data in the dot matrix region identifying device acquisition user identity identification district, described method also includes:
In dot matrix region, input information by described identification device, produce pressure signal;
Described pressure signal triggers and starts the built-in photographic head of described identification device, processor and memorizer.
3. discrete data processing method according to claim 1, it is characterised in that described method also includes:
Described second discrete dot array data is identified as performance data, performs corresponding function event.
4. discrete data processing method according to claim 1, it is characterised in that described all described discrete image data are generated packet be sent to host computer and specifically include:
Described processor converts all described discrete image data to digital signal, and generates packet;
By described Data Packet Encryption, obtain encrypted packets;
By data-interface timing, described encrypted packets is sent to host computer.
5. discrete data processing method according to claim 5, it is characterised in that described data-interface is wired data interface or wireless data interface; Described wired data interface is specially USB interface, MiniUSB interface, MicroUSB interface, parallel port, serial ports; Described wireless data interface is specially blue tooth interface, infrared interface, Wifi interface, 2.4-5.0GHz wave band interface or wireless communication interface.
6. discrete data processing method according to claim 1, it is characterised in that different described discrete identification data and normal scatter identification data are carried out matching treatment and specifically includes:
When described first discrete identification data are identical with described first normal scatter identification data, then increase this threshold data corresponding to the first normal scatter identification data.
7. information processing method according to claim 1, it is characterised in that described method also includes:
Described subscriber identity information is set up with described first discrete identification data and associates;
After all first discrete identification data corresponding to each user and described first normal scatter identification Data Matching have processed, show the described threshold data of subscriber identity information and correspondence.
8. information processing method according to claim 1, it is characterised in that described dot matrix region is specially the writing paper or electronic whiteboard with dot-matrix array.
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| CN201511022821.6A CN105654146A (en) | 2015-12-31 | 2015-12-31 | Discrete data processing method |
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| CN201511022821.6A CN105654146A (en) | 2015-12-31 | 2015-12-31 | Discrete data processing method |
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| CN102609700A (en) * | 2012-01-19 | 2012-07-25 | 成都巴比塔网络技术股份有限公司 | Digital electronic pen |
| CN102750502A (en) * | 2012-05-30 | 2012-10-24 | 山东神思电子技术股份有限公司 | Device and method for image data collection |
| CN103310082A (en) * | 2012-03-07 | 2013-09-18 | 爱意福瑞（北京）科技有限公司 | Paper inspection method and device |
| CN103577822A (en) * | 2013-11-01 | 2014-02-12 | 北京汉神科创文化发展有限公司 | Man-machine interaction feedback equipment and method based on writing |
| US20150074832A1 (en) * | 2012-05-21 | 2015-03-12 | Beckhoff Automation Gmbh | Method and device for verifying a data display in a security-critical system |
| CN204808235U (en) * | 2015-05-24 | 2015-11-25 | 北京拓思德科技有限公司 | Add closely spaced lattice digital pen |
-
2015
- 2015-12-31 CN CN201511022821.6A patent/CN105654146A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101685482A (en) * | 2009-08-04 | 2010-03-31 | 上海心意答电子科技有限公司 | Electric marking system capable of automatically processing marking results and method thereof |
| CN102609700A (en) * | 2012-01-19 | 2012-07-25 | 成都巴比塔网络技术股份有限公司 | Digital electronic pen |
| CN103310082A (en) * | 2012-03-07 | 2013-09-18 | 爱意福瑞（北京）科技有限公司 | Paper inspection method and device |
| US20150074832A1 (en) * | 2012-05-21 | 2015-03-12 | Beckhoff Automation Gmbh | Method and device for verifying a data display in a security-critical system |
| CN102750502A (en) * | 2012-05-30 | 2012-10-24 | 山东神思电子技术股份有限公司 | Device and method for image data collection |
| CN103577822A (en) * | 2013-11-01 | 2014-02-12 | 北京汉神科创文化发展有限公司 | Man-machine interaction feedback equipment and method based on writing |
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Effective date of registration: 20180524 Address after: 100029 Beijing Chaoyang District Beichen West Road 69, Junfeng Huating D block 1012 Applicant after: Beijing Chi Lu Management Consulting Co., Ltd. Address before: 100098 Haidian District, Beijing, North Third Ring Road 18, 2, building 803-3. Applicant before: Tian Xuesong |
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