WO2013004037A1 - 判断联系人列表中是否存在欲添加名片的方法 - Google Patents
判断联系人列表中是否存在欲添加名片的方法 Download PDFInfo
- Publication number
- WO2013004037A1 WO2013004037A1 PCT/CN2011/078055 CN2011078055W WO2013004037A1 WO 2013004037 A1 WO2013004037 A1 WO 2013004037A1 CN 2011078055 W CN2011078055 W CN 2011078055W WO 2013004037 A1 WO2013004037 A1 WO 2013004037A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- business card
- contact list
- added
- image
- electronic device
- Prior art date
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Classifications
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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
- G06F16/50—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
- G06F16/50—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
- G06F16/10—File systems; File servers
- G06F16/11—File system administration, e.g. details of archiving or snapshots
- G06F16/116—Details of conversion of file system types or formats
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
- G06F16/43—Querying
- G06F16/432—Query formulation
- G06F16/434—Query formulation using image data, e.g. images, photos, pictures taken by a user
-
- 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
- G06F16/51—Indexing; Data structures therefor; Storage structures
-
- 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
- G06F16/5862—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 texture
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/63—Scene text, e.g. street names
-
- 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
- G06V30/40—Document-oriented image-based pattern recognition
- G06V30/41—Analysis of document content
- G06V30/413—Classification of content, e.g. text, photographs or tables
-
- 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
- G06V30/40—Document-oriented image-based pattern recognition
- G06V30/41—Analysis of document content
- G06V30/418—Document matching, e.g. of document images
-
- 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
Definitions
- the present invention relates to the field of character recognition and image processing, and more particularly to a method for automatically determining whether an identified business card already exists in a contact list in combination with a text recognition result and an image feature.
- Business cards are a kind of media that people often use to record and communicate with each other. In daily business activities, a large number of business card exchanges are often involved. People use business card exchange methods to communicate and connect with others.
- the user recognizes a business card.
- an entry is added to the contact list, which contains the text information of the identified business card, including name, phone, E -ma il , company, department, position, address, etc., generally contains the business card images that have been taken and may be beautified. If the user enters the same business card multiple times, a new contact entry will be generated for this business card multiple times, causing unnecessary duplication. There is currently no good way to automatically determine if the identified business card already exists in the contact list.
- the contact names such as name, phone number, and ema il are the same, but the company and the job may be different, so if the identification of the company and the position is wrong, according to The recognized text cannot determine which one of the recognized business cards is.
- the sales cards of some companies' salespersons are the same except for other names such as company name, address, contact number, and email address. If the name of the business card is not recognized at this time, It is impossible to determine who the owner of this business card is based on other textual information.
- an object of the present invention is to provide a method for determining whether a business card is to be added in a contact list, and to automatically determine whether the identified business card is in contact with the text recognition result and the image feature.
- the list of people already exists to solve the problem that users who are common in the prior art add redundant entries to the contact list.
- the present invention provides a method for determining whether a business card is to be added in a contact list, and is applied to an electronic device having at least a business card image capture, text information recognition, and image feature extraction function, and The electronic device further includes a contact list for storing contact card information, wherein the method includes at least the following steps: 1) after the electronic device captures a business card image to add a business card, the identification device Describe text information on the business card image, and extract image features; 2) retrieve all pre-stored business cards matching the text information from the contact list according to the text information, and retrieve the business cards of the pre-stored business cards The image is matched with the business card image of the business card to be added, and a similar degree of metric is generated for each pre-stored business card according to the similarity of the image features; 3) a business card with the largest metric value among all the pre-stored business cards As a candidate business card; 4) determining whether the candidate business card and the business card to be added belong
- the business card information in the contact list includes a business card image and text information.
- the text information is at least one of a name, a title, a telephone, a fax, an address, a zip code, an e-mail address, a website address, and product information on the business card.
- the electronic device is pre-set with a reference value for comparison with the metric value, and the metric value and the reference value are integers.
- step 1) of the method of the present invention the electronic device captures the business card image of the business card to be added by a digital camera or a scanning device.
- the electronic device recognizes text information on the business card image and extracts image features using optical character recognition technology.
- step 4) of the method of the present invention when it is determined whether the candidate business card and the business card to be added belong to the same user, determining whether the metric value is greater than the reference value, and if yes, the electronic device displays the business card information of the user The contact list already exists, and if not, the electronic device displays that the user card information does not exist in the contact list.
- the method further includes: determining whether the candidate business card and the business card to be added belong to the same business card, and if yes, the electronic device displays that the business card information to be added is already in the contact list, if No, the electronic device displays that the business card information of the business card to be added does not exist in the contact list.
- step 2) of the method of the present invention when all the pre-stored business cards matching the text information are not retrieved from the contact list according to the text information, the electronic device displays that the user card information does not exist. In the contact list.
- the image feature matching is a feature point matching both the feature image of the pre-stored business card and the business card image of the business card to be added, and a feature vector corresponding to each feature point.
- FIG. 1 is a flow chart showing the steps of a method for determining whether a business card is to be added in the judgment contact list of the present invention.
- FIG. 1 is a flow chart showing the steps of the method for determining whether a business card is to be added in the judgment contact list of the present invention.
- the illustrations provided in this embodiment merely illustrate the basic concept of the present invention in a schematic manner, and only the components related to the present invention are shown in the drawings, instead of the number and shape of components in actual implementation. Dimensional drawing, the actual type of implementation of each component's type, number and proportion can be a random change, and its component layout can be more complicated.
- the present invention provides a method for determining whether a business card is to be added in a contact list, and is applied to an electronic device having at least a business card image capture, text information recognition, and image feature extraction function, and the electronic device
- the business card information in the contact list includes a business card image and text information, wherein the text information is a name and a title on the business card.
- the business card image corresponding to the same text information stored in the contact list may have one or more sheets, for example, the same user may have multiple business cards, and only the information of the company and the position is different among the plurality of business cards. Other information such as name, phone number, and e-mail address are the same.
- the electronic device has a digital photographing device or a scanning device for capturing a business card image, and can recognize the text information on the business card image and extract the image feature by using an optical character recognition technology.
- the electronic device may be an electronic device with a data processing function, such as a smart phone, a tablet computer, or a PDA.
- the method for determining whether there is a business card to be added in the contact list includes at least the following steps:
- step S1 the electronic device captures a business card image of a business card, identifies text information on the business card image, and extracts image features.
- the electronic device passes the digital camera.
- the scanning device captures the business card image of the business card to be added, and uses the optical character recognition technology to identify the text information on the business card image and extract the image feature.
- step S2 is performed.
- step S2 all pre-stored business cards matching the text information are retrieved from the contact list according to the text information.
- the electronic device uses the recognized text information in the contact list.
- the purpose of the text search is to greatly reduce the number of images that need to be image-matched according to image features in the next step, thereby improving the speed of image matching and the accuracy of matching.
- the specific method for performing text retrieval by using the recognized text information is to search for the name, title, telephone, fax, address, zip code, and the text contained in the recognized text in the text information of the business card information pre-stored in the contact list. At least one of the e-mail, website address, and product information is a fully consistent pre-stored business card. Then step S3 is performed.
- step S3 it is judged whether or not it is retrieved, and if so, the process proceeds to step S4, and if not, the process proceeds to step S9.
- step S3 even after the search is performed from the contact list by using the recognized text information in step S3, a unique business card that matches the recognized text in the business card image to which the business card is to be added is obtained. It is still necessary to go to step S4 for verification, because there are cases where the electronic device cannot uniquely determine which of the business cards held by the contact list is based on the text obtained by the optical character recognition.
- the same user may have multiple names. In the multiple business cards, only the information of the company and the position is different. The other names, telephone, and e-mail information are the same, so if the company and the job are identified incorrectly, only the name is correctly identified. Information such as telephone, e-mail, etc., electronic devices cannot uniquely determine which business card the information belongs to.
- step S4 the retrieved business card images of the pre-stored business cards are respectively matched with the business card images of the business card to be added, and in this embodiment, the image feature matching is a business card matching the pre-stored business card. A feature point of both the image and the business card image of the business card to be added and a feature vector corresponding to each of the feature points. Then step S5 is performed.
- step S5 a similarity measure value is generated corresponding to each pre-stored business card according to the similarity of the image features.
- the electronic device is pre-set with a reference value for comparison with the metric value.
- the metric value and the reference value are both integers.
- the candidate business card corresponding to the metric value is a business card to be added. In other words, the larger the metric value, the more similar the business card corresponding to the metric value to the business card to be added.
- step S6 is performed.
- step S6 a business card with the largest metric value among all the pre-stored business cards is used as the candidate business card; to ensure the accuracy of the next step comparison. Then step S7 is performed.
- step S7 it is determined whether the candidate business card and the business card to be added belong to the same user.
- determining whether the candidate business card and the business card to be added belong to the same user determining whether the metric value is greater than the The reference value, if yes, proceeds to step S8, and if not, proceeds to step S9.
- step S8 the electronic device displays that the user card information is already in the contact list, but since the same user may have multiple business cards, only the company and the job information are different among the multiple business cards. The other names, telephone, and e-mail information are the same. In this case, the electronic device is required to notify the operator whether to further verify whether the candidate business card and the business card to be added belong to the same business card. That is, the process goes to step S10.
- step S9 the electronic device displays that the user card information does not exist in the contact list, and the operator of the electronic device can decide whether to add the user card according to the needs of the user. To the contact list.
- step S10 it is judged whether the candidate business card and the business card to be added belong to the same business card, and if so, the process goes to step S11, and if no, the process goes to step S12.
- step S11 the electronic device displays that the business card information to be added is already in the contact list, so that the operator of the electronic device does not need to repeatedly add the business card information.
- step S12 the electronic device displays that the business card information of the business card to be added does not exist in the contact list, and the operator of the electronic device may decide whether to add different business card information of the same user according to his own needs. To the contact list.
- the method for determining a business card in the contact list of the present invention when identifying the business card image, automatically determines whether the identified business card already exists in the contact list by combining the text recognition result and the image feature. This avoids the problem of users adding extra entries to the contact list. Therefore, the present invention effectively overcomes various shortcomings in the prior art and has high industrial utilization value.
- the above-described embodiments are merely illustrative of the principles of the invention and its advantages, and are not intended to limit the invention. Any of the above-described embodiments may be modified or altered without departing from the spirit and scope of the invention. Therefore, all equivalent modifications or changes made by those skilled in the art without departing from the spirit and scope of the invention are still to be covered by the appended claims.
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Business, Economics & Management (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Library & Information Science (AREA)
- Multimedia (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Human Resources & Organizations (AREA)
- Artificial Intelligence (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Character Discrimination (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
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Abstract
Description
Claims
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2014517389A JP5863962B2 (ja) | 2011-07-05 | 2011-08-05 | 追加を希望する名刺が連絡先リストに存在しているか否かを判断する方法 |
US14/126,359 US9147109B2 (en) | 2011-07-05 | 2011-08-05 | Method for adding business card information into contact list |
KR1020147000968A KR20140066686A (ko) | 2011-07-05 | 2011-08-05 | 주소록에 추가하고자 하는 명함이 존재하는지 여부를 판단하는 방법 |
EP11869081.7A EP2731019A4 (en) | 2011-07-05 | 2011-08-05 | METHOD FOR DETERMINING THE PRESENCE OF A BUSINESS CARD TO BE ADDED TO A CONTACT LIST |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2011101872780A CN102393847B (zh) | 2011-07-05 | 2011-07-05 | 判断联系人列表中是否存在欲添加名片的方法 |
CN201110187278.0 | 2011-07-05 |
Publications (1)
Publication Number | Publication Date |
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WO2013004037A1 true WO2013004037A1 (zh) | 2013-01-10 |
Family
ID=45861171
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2011/078055 WO2013004037A1 (zh) | 2011-07-05 | 2011-08-05 | 判断联系人列表中是否存在欲添加名片的方法 |
Country Status (6)
Country | Link |
---|---|
US (1) | US9147109B2 (zh) |
EP (1) | EP2731019A4 (zh) |
JP (1) | JP5863962B2 (zh) |
KR (1) | KR20140066686A (zh) |
CN (1) | CN102393847B (zh) |
WO (1) | WO2013004037A1 (zh) |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
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CN103888576B (zh) * | 2012-12-21 | 2017-10-31 | 比亚迪股份有限公司 | 基于图像扫描的联系人信息添加方法及终端设备 |
JP6427964B2 (ja) * | 2013-11-28 | 2018-11-28 | 株式会社リコー | 画像処理システム、情報処理装置及びプログラム |
JP2016143142A (ja) * | 2015-01-30 | 2016-08-08 | 富士ゼロックス株式会社 | 画像管理システム、画像管理装置、及びプログラム |
US20170046668A1 (en) * | 2015-08-16 | 2017-02-16 | Google Inc. | Comparing An Extracted User Name with Stored User Data |
CN105657122A (zh) * | 2016-03-30 | 2016-06-08 | 北京农信互联科技有限公司 | 一种将名片资料保存到手机电话通讯录的方法及系统 |
CN106067019A (zh) * | 2016-05-27 | 2016-11-02 | 北京旷视科技有限公司 | 针对图像进行文字识别的方法及装置 |
CN108537659B (zh) * | 2018-04-18 | 2021-03-30 | 京东数字科技控股有限公司 | 用于输出信息的方法和装置 |
JP2024080024A (ja) * | 2022-12-01 | 2024-06-13 | 株式会社東芝 | 情報処理システム、情報処理方法及びプログラム |
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- 2011-07-05 CN CN2011101872780A patent/CN102393847B/zh active Active
- 2011-08-05 US US14/126,359 patent/US9147109B2/en active Active
- 2011-08-05 WO PCT/CN2011/078055 patent/WO2013004037A1/zh active Application Filing
- 2011-08-05 KR KR1020147000968A patent/KR20140066686A/ko not_active Application Discontinuation
- 2011-08-05 EP EP11869081.7A patent/EP2731019A4/en not_active Ceased
- 2011-08-05 JP JP2014517389A patent/JP5863962B2/ja active Active
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Also Published As
Publication number | Publication date |
---|---|
EP2731019A1 (en) | 2014-05-14 |
US9147109B2 (en) | 2015-09-29 |
EP2731019A4 (en) | 2015-01-21 |
CN102393847A (zh) | 2012-03-28 |
US20140119662A1 (en) | 2014-05-01 |
KR20140066686A (ko) | 2014-06-02 |
JP2014521134A (ja) | 2014-08-25 |
CN102393847B (zh) | 2013-04-17 |
JP5863962B2 (ja) | 2016-02-17 |
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