CN106971134A - It is a kind of can error correction pattern recognition device and method - Google Patents

It is a kind of can error correction pattern recognition device and method Download PDF

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Publication number
CN106971134A
CN106971134A CN201610025160.0A CN201610025160A CN106971134A CN 106971134 A CN106971134 A CN 106971134A CN 201610025160 A CN201610025160 A CN 201610025160A CN 106971134 A CN106971134 A CN 106971134A
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target image
image signal
unit
recognition result
error correction
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CN201610025160.0A
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祝铭明
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Yutou Technology Hangzhou Co Ltd
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Yutou Technology Hangzhou Co Ltd
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Priority to CN201610025160.0A priority Critical patent/CN106971134A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/07Target detection

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)

Abstract

The present invention provides a kind of pattern recognition device, it is adaptable to intelligent electronic device, including:Image acquisition units, to gather a target image and export target image formation target image signal;Unit is transmitted wirelessly, target image signal to be sent;Radio receiving unit, to receive the target image signal of radio-cell transmission, and exports target image signal;Feature extraction unit, to extracting characteristic information in target image signal, and is exported;Recognition unit, according to characteristic information, target image to be identified, and exports recognition result;Input block, when the recognition result mistake, correct recognition result is inputted by the input block.The beneficial effect of its technical scheme is:The image for needing to recognize can be identified, and when recognition result malfunctions, can carry out correcting the correct recognition result of input, overcome the defect that existing identification image can not be corrected in time.

Description

It is a kind of can error correction pattern recognition device and method
Technical field
The present invention relates to intelligent electronic device field, more particularly to it is a kind of can error correction pattern recognition device and Method.
Background technology
Pattern recognition device can easily make identification to the image for needing to recognize, but during identification Often occur that identification is not accurate enough, or the result identified is very close to the image to be recognized, and it is right Identify and stagger the time, for example recognize a milk box when, may mistake be identified as soapbox or others Packing box, now user, which would generally take, repeatedly recognizes untill the result of identification is accurate, but this Sample requires a great deal of time operation, therefore brings bad usage experience to user.
The content of the invention
Above mentioned problem for recognizing image in the prior art, now provides one kind and aims at raising identification standard Exactness, can quickly recognize the raising image recognition precision device and method of image.
Concrete technical scheme is as follows:
It is a kind of can error correction pattern recognition device, it is adaptable to intelligent electronic device, including:
Image acquisition units, to gather a target image and the target image is formed into target image signal Output;
Unit is transmitted wirelessly, is connected with described image collecting unit, the target image signal to be sent;
Radio receiving unit, is connected with the wireless transmission unit 2, is sent to receive the radio-cell The target image signal, and export the target image signal;
Feature extraction unit, is connected with the radio receiving unit, to being carried in the target image signal Characteristic information is taken out, and the characteristic information is exported;
Recognition unit, is connected with the characteristic extracting module, to according to the characteristic information, to described Target image is identified, and exports recognition result;
Input block, is connected with the recognition unit, when the recognition result mistake, by described defeated Enter unit and input correct recognition result.
It is preferred that, wherein described image collecting unit includes:
Photographing module, to obtain target image and be converted to target image signal;
Controller, is connected with the photographing module, the collection for the target image.
It is preferred that, the photographing module is minisize pick-up head.
It is preferred that, the extraction unit includes:
Processing module, to recognize calculating, inquiry and show;
Extraction module, is connected with the processing module, for extracting the spy in the target image signal Reference ceases.
It is preferred that, wherein the special recognition unit includes:
Be stored with picture and the introduction that is associated with picture in picture database, the picture database;
Recognizer module, to according to the characteristic information, to the target in the picture database Image is identified.
It is preferred that, in addition to display is connected with the recognition unit, for show the recognition result and Operation indicating.
It is preferred that, wherein the display is LCD display.
It is preferred that, the input block includes a voice typing module, by the voice typing module for making The correct recognition result of user's typing.
Also include it is a kind of can error correction image-recognizing method, comprise the following steps:
Step S1, one image acquisition units of offer, pass through described image collecting unit and gather a target image The target image is converted into target image signal and exported;
Step S2, by one wireless transmission unit the target image signal is sent to a wireless receiving list Member;
Step S3, the characteristic information for extracting in the target image signal target image signal And export;
Step S4, according to the characteristic information, the target image is identified and the identification is exported As a result;
Step S5, according to the recognition result, the recognition result is fed back.
Above-mentioned technical proposal has the following advantages that or beneficial effect:Above-mentioned technical proposal have the following advantages that or Beneficial effect:The image for needing to recognize can be identified, and when recognition result malfunctions, can carried out The correct recognition result of input is corrected, the defect that existing identification image can not be corrected in time is overcome.
Brief description of the drawings
With reference to appended accompanying drawing, more fully to describe embodiments of the invention.However, appended accompanying drawing is only For illustrating and illustrating, and it is not meant to limit the scope of the invention.
Fig. 1 for the present invention it is a kind of can error correction pattern recognition device embodiment theory diagram;
Fig. 2 for the present invention is a kind of can be in the pattern recognition device embodiment of error correction, on image acquisition units Structural representation;
Fig. 3 for the present invention is a kind of can be in the pattern recognition device embodiment of error correction, on feature extraction unit Structural representation;
Fig. 4 for the present invention is a kind of can be in the pattern recognition device embodiment of error correction, on recognition unit Structural representation;
Fig. 5 for the present invention it is a kind of can error correction image-recognizing method embodiment flow chart.
1st, image acquisition units;2nd, unit 2 is transmitted wirelessly;3rd, radio receiving unit;4th, feature is carried Take unit;5th, recognition unit;6th, input block;41st, processing module;42nd, extraction module;51、 Picture database;52nd, recognizer module.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out Clearly and completely describe, it is clear that described embodiment is only a part of embodiment of the invention, and The embodiment being not all of.Based on the embodiment in the present invention, those of ordinary skill in the art are not making The every other embodiment obtained on the premise of going out creative work, belongs to the scope of protection of the invention.
It should be noted that in the case where not conflicting, the embodiment in the present invention and the spy in embodiment Levying to be mutually combined.
The invention will be further described with specific embodiment below in conjunction with the accompanying drawings, but not as the present invention's Limit.
The present invention including it is a kind of can error correction pattern recognition device.
As shown in Figure 1 it is a kind of can error correction pattern recognition device, it is adaptable to intelligent electronic device, including:
Image acquisition units 1, to gather a target image and target image is formed into target image signal defeated Go out;
Unit 2 is transmitted wirelessly, is connected with image acquisition units 1, target image signal to be sent;
Radio receiving unit 3, is connected with wireless transmission unit 2, the target to receive radio-cell transmission Picture signal, and export target image signal;
Feature extraction unit 4, is connected with radio receiving unit 3, to being extracted in target image signal Characteristic information, and characteristic information is exported;
Recognition unit 5, is connected with feature extraction unit 4, to according to characteristic information, to target image It is identified, and exports recognition result;
Input block 6, is connected with identification module, is connected with recognition unit, when recognition result mistake, Correct recognition result is inputted by input block.
In above-mentioned technical proposal, target image is gathered by image acquisition units 1 and target image is formed Signal, is sent picture signal to radio receiving unit 3, wireless receiving list by transmitting wirelessly unit 2 Member 3 transmits target image signal to feature extraction unit 4, by extraction unit to target image signal Characteristic information at extraction, and characteristic information is exported to recognition unit 5, recognition unit 5 is believed according to feature Target image is identified breath, and recognition result is exported, and passes through 6 pairs of identification errors of input block Recognition result inputs correct recognition result, and then identification can be made more accurate.
It is preferred that, as shown in Fig. 2 wherein image acquisition units 1 include:
Photographing module, to obtain target image and be converted to target image signal;
Controller, is connected with photographing module, the collection for target image.
In a kind of preferably embodiment, photographing module is minisize pick-up head.
In a kind of preferably embodiment, as shown in figure 3, extraction unit includes:
Processing module 41, to recognize calculating, inquiry and show;
Extraction module 42, is connected with processing module 41, for extracting the characteristic information in target image signal.
In a kind of preferably embodiment, as shown in figure 4, wherein special recognition unit 5 includes:
Be stored with picture and the introduction that is associated with picture in picture database 51, picture database;
Recognizer module 52, according to characteristic information, to be carried out in picture database to target image Identification.
In a kind of preferably embodiment, in addition to display, it is connected with recognition unit 5, for showing Recognition result and operation indicating.
In a kind of preferably embodiment, wherein display is LCD display.
In a kind of preferably embodiment, the input block includes a voice typing module, by described Voice typing module supplies the correct recognition result of user's typing.
In technical scheme, in addition to it is a kind of can error correction image-recognizing method, as shown in figure 5, Comprise the following steps:
Step S1, one image acquisition units 1 of offer, gathering a target image by image acquisition units 1 will Target image is converted into target image signal and exported;
Step S2, by one wireless transmission unit 2 target image signal is sent to a radio receiving unit 3;
Step S3, the characteristic information of extraction target image signal and output in target image signal;
Step S4, according to characteristic information, target image is identified and recognition result is exported;
Step S5, the recognition result to identification error, progress are corrected and the correct recognition result of typing.
In a particular embodiment, when needing the image to commodity to be identified, by using image recognition Unit 5, is shot to the image for needing to recognize and by the target image formation target image signal of shooting, Target image signal is sent to radio receiving unit 33, wireless receiving list by transmitting wirelessly unit 22 Member 33 exports target image signal to feature extraction unit 4, by feature extraction unit 4 from target figure Exported as extracting characteristic information in signal, and by characteristic information to recognition unit 5, pass through recognition unit 5 In recognizer module target image is identified from image data base according to characteristic information, and will Recognition result is by showing that display is shown, user judges recognition result according to the recognition result of display If whether correctly identification mistake can input correct identification information by input block 6 and be preserved, work as knowledge Other unit 5 is re-recognized, and can accurately identify target image, so identifying system can be carried out perfect.
Above-mentioned technical proposal has the following advantages that or beneficial effect:The image for needing to recognize can be identified, And when recognition result malfunctions, it can carry out correcting the correct recognition result of input, overcome existing identification The defect that image can not be corrected in time.
Preferred embodiments of the present invention are these are only, embodiments of the present invention and protection is not thereby limited Scope, to those skilled in the art, should can appreciate that all utilization description of the invention and figure Show the equivalent substitution made by content and the scheme obtained by obvious change, should be included in this In the protection domain of invention.

Claims (9)

1. it is a kind of can error correction pattern recognition device, it is adaptable to intelligent electronic device, it is characterised in that bag Include:
Image acquisition units, to gather a target image and the target image is formed into target image signal Output;
Unit is transmitted wirelessly, is connected with described image collecting unit, the target image signal to be sent;
Radio receiving unit, is connected with the wireless transmission unit, is sent to receive the radio-cell The target image signal, and export the target image signal;
Feature extraction unit, is connected with the radio receiving unit, to being carried in the target image signal Characteristic information is taken out, and the characteristic information is exported;
Recognition unit, is connected with the characteristic extracting module, to according to the characteristic information, to described Target image is identified, and exports recognition result;
Input block, is connected with the recognition unit, when the recognition result mistake, by described defeated Enter unit and input correct recognition result.
2. it is according to claim 1 it is a kind of can error correction pattern recognition device, it is characterised in that the figure As collecting unit includes:
Photographing module, to obtain target image and be converted to target image signal;
Controller, is connected with the photographing module, the collection for the target image.
3. pattern recognition device according to claim 1, the photographing module is minisize pick-up head.
4. it is according to claim 1 it is a kind of can error correction pattern recognition device, it is characterised in that institute Stating feature extraction unit includes:
Processing module, to recognize calculating, inquiry and show;
Extraction module, is connected with the processing module, for extracting the spy in the target image signal Reference ceases.
5. it is according to claim 1 it is a kind of can error correction pattern recognition device, it is characterised in that institute Stating special recognition unit includes:
Be stored with picture and the introduction that is associated with picture in picture database, the picture database;
Recognizer module, to according to the characteristic information, to the target in the picture database Image is identified.
6. it is according to claim 1 it is a kind of can error correction pattern recognition device, it is characterised in that also Including display, it is connected with the recognition unit, for showing the recognition result and operation indicating.
7. it is according to claim 5 it is a kind of can error correction pattern recognition device, it is characterised in that institute Display is stated for LCD display.
8. it is according to claim 1 it is a kind of can error correction pattern recognition device, it is characterised in that institute Stating input block includes a voice typing module, correct for user's typing by the voice typing module Recognition result.
9. it is a kind of can error correction image-recognizing method, it is characterised in that comprise the following steps:
Step S1, one image acquisition units of offer, pass through described image collecting unit and gather a target image The target image is converted into target image signal and exported;
Step S2, by one wireless transmission unit the target image signal is sent to a wireless receiving list Member;
Step S3, the characteristic information for extracting in the target image signal target image signal And export;
Step S4, according to the characteristic information, the target image is identified and the identification is exported As a result;
Step S5, the recognition result to the identification error, are corrected and typing are correctly recognized As a result.
CN201610025160.0A 2016-01-14 2016-01-14 It is a kind of can error correction pattern recognition device and method Pending CN106971134A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107545391A (en) * 2017-09-07 2018-01-05 安徽共生物流科技有限公司 A kind of logistics document intellectual analysis and automatic storage method based on image recognition
CN109335744A (en) * 2018-11-06 2019-02-15 宁波大榭招商国际码头有限公司 A kind of dock container handling intellectual broadcast system
CN110619354A (en) * 2019-08-27 2019-12-27 广州伊思高科技有限公司 Image recognition system and method for unmanned sales counter
CN112561902A (en) * 2020-12-23 2021-03-26 天津光电通信技术有限公司 Chip inverse reduction method and system based on deep learning

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CN102023971A (en) * 2009-09-11 2011-04-20 韩国电子通信研究院 User-interactive automatic translation device and method for mobile device
CN102073849A (en) * 2010-08-06 2011-05-25 中国科学院自动化研究所 Target image identification system and method
CN103279743A (en) * 2013-05-28 2013-09-04 深圳市中兴移动通信有限公司 Business card recognition method and device
CN103377287A (en) * 2012-04-25 2013-10-30 腾讯科技(深圳)有限公司 Method and device for putting in item information

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Publication number Priority date Publication date Assignee Title
CN102023971A (en) * 2009-09-11 2011-04-20 韩国电子通信研究院 User-interactive automatic translation device and method for mobile device
CN102073849A (en) * 2010-08-06 2011-05-25 中国科学院自动化研究所 Target image identification system and method
CN103377287A (en) * 2012-04-25 2013-10-30 腾讯科技(深圳)有限公司 Method and device for putting in item information
CN103279743A (en) * 2013-05-28 2013-09-04 深圳市中兴移动通信有限公司 Business card recognition method and device

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107545391A (en) * 2017-09-07 2018-01-05 安徽共生物流科技有限公司 A kind of logistics document intellectual analysis and automatic storage method based on image recognition
CN109335744A (en) * 2018-11-06 2019-02-15 宁波大榭招商国际码头有限公司 A kind of dock container handling intellectual broadcast system
CN110619354A (en) * 2019-08-27 2019-12-27 广州伊思高科技有限公司 Image recognition system and method for unmanned sales counter
CN112561902A (en) * 2020-12-23 2021-03-26 天津光电通信技术有限公司 Chip inverse reduction method and system based on deep learning

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Application publication date: 20170721