CN106326454A - Image identification method - Google Patents
Image identification method Download PDFInfo
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- CN106326454A CN106326454A CN201610743668.4A CN201610743668A CN106326454A CN 106326454 A CN106326454 A CN 106326454A CN 201610743668 A CN201610743668 A CN 201610743668A CN 106326454 A CN106326454 A CN 106326454A
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- shop
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5846—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using extracted text
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/63—Querying
- G06F16/635—Filtering based on additional data, e.g. user or group profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/73—Querying
- G06F16/735—Filtering based on additional data, e.g. user or group profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0282—Rating or review of business operators or products
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
-
- 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
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/153—Segmentation of character regions using recognition of characters or words
Abstract
The invention relates to an image identification method. The image identification method comprises the following steps that: a user takes a store image through mobile equipment; the mobile equipment uploads the store image to a cloud server for identifying; the cloud server searches and determines identification information corresponding to the image to be identified; the cloud server inquires the introduction for a corresponding store according to the identification information; the cloud server returns introduction information of the store with a corresponding shop sign to the mobile equipment.
Description
Technical field
The present invention relates to mobile Internet and field of cloud computer technology, utilize above-mentioned technology realization figure particularly to one
As knowing method for distinguishing.
Background technology
Along with the development of economic society and improving constantly of living standards of the people, tourism becomes people and loosens after work
One of mode that body and mind is taken exercises.During to a unfamiliar city, the most abroad, due to language, visitor is often difficult to effectively
Acquisition recommendation information, traditional paper material cannot meet the demand of real-time, and the information amount being provided that is the least.
Summary of the invention
The goal of the invention of the present invention is to provide that a kind of equipment is simple, widely applicable, easy to use, low power consumption and low cost having
There is the image-recognizing method of high accuracy advantage.
For achieving the above object, the technical solution adopted in the present invention is:
A kind of image-recognizing method, including step:
User is clapped by mobile device and takes shop image；
Shop image is uploaded to Cloud Server and is identified by mobile device；
Cloud Server is searched and determines the identification information corresponding to image to be identified；
Cloud Server is according to the introduction identifying information inquiry correspondence shop；
Cloud Server returns the recommended information in corresponding signboard shop to mobile device.
Further, Cloud Server is searched and determines that the identification information corresponding to image to be identified includes:
Obtain the eigenvalue of shop to be identified image；
The eigenvalue of the eigenvalue of image to be identified with the existing shop of lane database in Cloud Server data is compared,
Determine the shop corresponding to image to be identified.
Accompanying drawing explanation
Fig. 1 is the flow chart of image-recognizing method of the present invention；
Detailed description of the invention
By describing the technology contents of the present invention, structural feature in detail, being realized purpose and effect, below in conjunction with embodiment
And coordinate accompanying drawing to be explained in detail.
Refer to Fig. 1, for the flow chart of image-recognizing method of the present invention.
Described image-recognizing method includes step:
Step a, acquisition shop signboard image.Storefront sign image in the present embodiment can be signboard image and/or shop
Paving shop front image and/or shop interior decoration image.
Shop image is obtained by step a and mainly by user, it is wished that the shop obtaining recommendation information uses shooting
First-class photographing device is taken pictures, i.e. image acquisition equipment carries out Image Acquisition.The most existing mobile terminal such as mobile phone, flat
The equipment such as plate, intelligent watch, intelligent glasses all have device and the function of the shooting Image Acquisition such as photo, video, and user is permissible
Very easily use these acquisition for mobile terminal images.
Step b, shop image is carried out pretreatment, obtain pretreatment information.
In step b, the pretreatment operation that shop image is carried out may include that classification, compression, signature identification extract or
Character recognition.Compression processes and is mainly used for needing passing through by shop image or through the shop image information of other pretreatment gained
Wireless network is sent to server and carries out the occasion of further identifying processing, and the purpose that compression processes is to reduce the required number sent
According to amount, reduce the time needed for information transmission and resource.Compression process can as the case may be in real needs and determine
The mode etc. of compression ratio, lossy compression method or lossless compress.After the information after compression is sent to server, server is also
To there is a reverse decompression operation, namely by information recovery after compression the process reused.
The means of character recognition include optical character recognition (OCR) technology, are the light and shades by the character on detection image
Pattern determines its shape, then obtains the process of Word message with character identifying method.Before carrying out character recognition, can basis
Concrete condition takes different pretreatment measures such as binaryzation, noise remove, slant correction etc..Character recognition is in present embodiment
In applicable situation be in the situation comprising word in photo, such as shop, to have label or word, these will be all to identification shop
Spread very effective information, it is also possible to identify that according to OCR the character of gained can directly match the shop that shop image is corresponding.
Classification pretreatment refers to the classification in the shop determining that in the classification of default shop shop image is corresponding；And in correspondence
Shop category database in search and determine the shop that described shop image is corresponding.
According to different mode classifications, shop can be divided into: dining room, clothes shop, hotel etc..Present embodiment is by knowledge
Other image carries out Classification and Identification in advance, be divided in shop in the classification of corresponding shop, to reduce whois lookup, coupling
Scope of data, saves server resource, improves search efficiency, and can be effectively improved lookup success rate.
Eigenvalue Extraction that present embodiment can be combined with in above-mentioned embodiment in pre-treatment step, OCR
Technology etc., utilize the image feature value extracted or character to classify the shop that image is corresponding.
Signature identification extracts pretreatment and refers to recognize and extract have signature identification effect from the image of described shop
Information
In some embodiments it is possible to directly utilize pretreatment information searching that pre-treatment step obtains and determine described shop
Shop corresponding to paving image, in other embodiment, in order to improve precision and the speed that image mates with shop, can be in order to
The eigenvalue combining shop image by shop Image semantic classification information is searched and determines the shop that described shop image is corresponding.Such as
The comparison scope of eigenvalue can be reduced by classification, compare or again comparison go out multiple in result, utilize
Pretreatment information gets rid of some option.
In other embodiments, the pretreatment operation described in step S11 can be omitted, and i.e. directly user is shot gained
Shop image carries out the computing of next step.
Step c, calculate the eigenvalue of described shop image.
The eigenvalue calculation of shop image can be considered as the operation of the extraction to image feature information, specifically can include color
The image feature informations such as rectangular histogram, grey level histogram, edge, skeleton, connected domain number, rectangular degree.Such as, to present embodiment
Purpose for, extract during eigenvalue through the image outline of Fourier transformation gained or border follow-up and data base
In information will be the most useful when comparing.
Step d, the eigenvalue in existing with data base for the eigenvalue of shop image shop is mated；
Step e, send confirmation request or choosing when matching one or more corresponding with shop image shop to user
Select request, and according to determining the ID in the shop corresponding to the image of shop from the confirmation of user or selection information.Shop
ID can be the title in shop, it is also possible to be shop numbering in data base, it is also possible to be the code name etc. in shop, in a word shop
ID may be used for uniquely determining this shop and confirm the corresponding relation in shop and other data.
The technical program can improve the accuracy that recommendation information is adaptive.Such as, when finding one and shop image kissing
During the shop closed, send confirmation request to user, and after obtaining the confirmation of user, determine the shop corresponding to scene image
Paving.When finding the multinomial shop matched with shop image, send selection request to user, and obtaining user to multinomial shop
The shop corresponding to the image of shop is determined after the done selection in correct shop information in paving.
In other embodiments, if only finding a shop matched with shop image, it is also possible to without user
Confirm and directly send shop recommendation information to user.
Step f, obtain shop recommendation information by wireless network.
In embodiments, after the ID in the shop determined corresponding to the image of shop, by WLAN, GSM, LTE, 3G,
The wireless networks such as 4G obtain the recommendation information in described shop.Certainly, along with the development of technology, other are any may be used for channel radio
The technical scheme of news is applied equally to present embodiment.Shop recommendation information can include that text recommendation information, audio frequency are recommended
Information, video recommendations information or image recommendation information.After receiving shop recommendation information, user can be according to the need of oneself
Selection is asked to play or reading.In other embodiments, it is possible to the most the recommendation information in certain shop, incity, city is obtained
Arrive on mobile terminal, then after the ID in the shop determined corresponding to the image of shop, by calling the number of mobile terminal
The most browsable according to storehouse or play the recommendation information in this shop.
The foregoing is only embodiments of the invention, not thereby limit the scope of the claims of the present invention, every utilize this
Equivalent structure or equivalence flow process that bright description and accompanying drawing content are made convert, or are directly or indirectly used in other relevant skills
Art field, is the most in like manner included in the scope of patent protection of the present invention.
Claims (2)
1. an image-recognizing method, including step:
User is clapped by mobile device and takes shop image；
Shop image is uploaded to Cloud Server and is identified by mobile device；
Cloud Server is searched and determines the identification information corresponding to image to be identified；
Cloud Server is according to the introduction identifying information inquiry correspondence shop；
Cloud Server returns the recommended information in corresponding signboard shop to mobile device.
Image-recognizing method the most according to claim 1, Cloud Server is searched and determines the knowledge corresponding to image to be identified
Other information includes:
Obtain the eigenvalue of shop to be identified image；
The eigenvalue of the eigenvalue of image to be identified with the existing shop of lane database in Cloud Server data is compared, determines
Shop corresponding to image to be identified.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610743668.4A CN106326454A (en) | 2016-08-27 | 2016-08-27 | Image identification method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610743668.4A CN106326454A (en) | 2016-08-27 | 2016-08-27 | Image identification method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106326454A true CN106326454A (en) | 2017-01-11 |
Family
ID=57791913
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| Application Number | Title | Priority Date | Filing Date |
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| CN201610743668.4A Pending CN106326454A (en) | 2016-08-27 | 2016-08-27 | Image identification method |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107123013A (en) * | 2017-03-01 | 2017-09-01 | 阿里巴巴集团控股有限公司 | Exchange method and device under line based on augmented reality |
| CN108022096A (en) * | 2017-12-27 | 2018-05-11 | 珠海市魅族科技有限公司 | A kind of method of mobile payment, device, terminal and readable storage medium storing program for executing |
| CN109003133A (en) * | 2018-07-20 | 2018-12-14 | 阿里巴巴集团控股有限公司 | The method and device that shop identifies under a kind of line |
| CN109189960A (en) * | 2018-11-12 | 2019-01-11 | 平安科技（深圳）有限公司 | Information acquisition method, information acquisition device and computer storage medium |
| CN110175491A (en) * | 2018-11-13 | 2019-08-27 | 广东小天才科技有限公司 | A kind of queue number generation method and wearable device |
| CN111382744A (en) * | 2018-12-28 | 2020-07-07 | Tcl集团股份有限公司 | Shop information acquisition method and device, terminal equipment and storage medium |
| CN111680686A (en) * | 2020-06-08 | 2020-09-18 | Oppo（重庆）智能科技有限公司 | Signboard information identification method, signboard information identification device, signboard information identification terminal and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102063436A (en) * | 2009-11-18 | 2011-05-18 | 腾讯科技（深圳）有限公司 | System and method for realizing merchandise information searching by using terminal to acquire images |
| CN105095483A (en) * | 2015-08-14 | 2015-11-25 | 北京铭嘉实咨询有限公司 | Image code recognition method and system |
| US20160224832A1 (en) * | 2015-02-02 | 2016-08-04 | State Farm Mutual Automobile Insurance Company | Systems and methods for identifying unidentified plumbing supply products |
-
2016
- 2016-08-27 CN CN201610743668.4A patent/CN106326454A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102063436A (en) * | 2009-11-18 | 2011-05-18 | 腾讯科技（深圳）有限公司 | System and method for realizing merchandise information searching by using terminal to acquire images |
| US20160224832A1 (en) * | 2015-02-02 | 2016-08-04 | State Farm Mutual Automobile Insurance Company | Systems and methods for identifying unidentified plumbing supply products |
| CN105095483A (en) * | 2015-08-14 | 2015-11-25 | 北京铭嘉实咨询有限公司 | Image code recognition method and system |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107123013A (en) * | 2017-03-01 | 2017-09-01 | 阿里巴巴集团控股有限公司 | Exchange method and device under line based on augmented reality |
| CN107123013B (en) * | 2017-03-01 | 2020-09-01 | 阿里巴巴集团控股有限公司 | Offline interaction method and device based on augmented reality |
| US10997651B2 (en) | 2017-03-01 | 2021-05-04 | Advanced New Technologies Co., Ltd. | Method and apparatus for offline interaction based on augmented reality |
| CN108022096A (en) * | 2017-12-27 | 2018-05-11 | 珠海市魅族科技有限公司 | A kind of method of mobile payment, device, terminal and readable storage medium storing program for executing |
| CN109003133A (en) * | 2018-07-20 | 2018-12-14 | 阿里巴巴集团控股有限公司 | The method and device that shop identifies under a kind of line |
| CN109189960A (en) * | 2018-11-12 | 2019-01-11 | 平安科技（深圳）有限公司 | Information acquisition method, information acquisition device and computer storage medium |
| CN110175491A (en) * | 2018-11-13 | 2019-08-27 | 广东小天才科技有限公司 | A kind of queue number generation method and wearable device |
| CN110175491B (en) * | 2018-11-13 | 2022-03-01 | 广东小天才科技有限公司 | Queuing number generation method and wearable device |
| CN111382744A (en) * | 2018-12-28 | 2020-07-07 | Tcl集团股份有限公司 | Shop information acquisition method and device, terminal equipment and storage medium |
| CN111680686A (en) * | 2020-06-08 | 2020-09-18 | Oppo（重庆）智能科技有限公司 | Signboard information identification method, signboard information identification device, signboard information identification terminal and storage medium |
| CN111680686B (en) * | 2020-06-08 | 2023-05-12 | Oppo（重庆）智能科技有限公司 | Signboard information identification method, device, terminal and storage medium |
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