CN109902687B - Image identification method and user terminal - Google Patents
Image identification method and user terminal Download PDFInfo
- Publication number
- CN109902687B CN109902687B CN201910061460.8A CN201910061460A CN109902687B CN 109902687 B CN109902687 B CN 109902687B CN 201910061460 A CN201910061460 A CN 201910061460A CN 109902687 B CN109902687 B CN 109902687B
- Authority
- CN
- China
- Prior art keywords
- image
- content
- user
- marked
- terminal
- 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
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000001514 detection method Methods 0.000 claims description 8
- 239000000284 extract Substances 0.000 claims description 6
- 238000012015 optical character recognition Methods 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 5
- 238000000605 extraction Methods 0.000 description 4
- 230000003993 interaction Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
- G06V10/225—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition based on a marking or identifier characterising the area
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/90—Identifying an image sensor based on its output data
Abstract
The embodiment of the invention discloses an image identification method and a user terminal, and the method comprises the following steps: the user terminal detects the marking operation of the user on the image, then determines the marked area of the user on the image, identifies the marked content of the marked area, and then enlarges and displays the marked content, so that the content of interest of the user can be enlarged and displayed.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to an image recognition method and a user terminal.
Background
In general, people can see interesting contents when watching books, newspapers or advertisements on the street, and particularly when outdoors, the interesting contents can not be recorded without a paper pen.
The existing optical character recognition (OCR, optical Character Recognition) technology can transmit text content through an optical instrument, such as an image scanner, a fax machine or any photographic equipment, transfer an image into a terminal such as a computer or a mobile phone, and then recognize the text content to be displayed in the terminal such as the computer or the mobile phone, however, because the screen of the terminal device is smaller, one page of content to be displayed is more, and the content which is focused by a user cannot be clearly checked.
Disclosure of Invention
The embodiment of the invention provides an image identification method and a user terminal, which can solve the problem that a user cannot clearly view content which is concerned.
In a first aspect, an image recognition method is provided, including:
the user terminal detects the operation of marking the image by the user;
the user terminal determines the marked area of the user on the image;
the user terminal identifies the marked content of the marked area;
and the user terminal displays the marked content in an enlarged manner.
With reference to the first aspect, in a first implementation manner of the first aspect, the specific step of determining, by the user terminal, a marked area of the user on the image includes:
the user terminal determines the marked area of the image through the marked track coordinates.
With reference to the first implementation manner of the first aspect, in a second implementation manner of the first aspect, the specific step of determining, by the user terminal, the marked area of the image according to the track coordinates of the mark includes:
and if the marked track is a closed track, the user terminal determines that the area in the closed track is the marked area.
With reference to the first implementation manner of the first aspect, in a third implementation manner of the first aspect, the specific step of determining, by the user terminal, the marked area of the image according to the track coordinates of the mark includes:
and if the marked track is a closed track, the user terminal determines that the area in the closed track is the marked area.
In a second aspect, there is provided a user terminal comprising:
a detection unit configured to detect an operation of marking the image by the user;
a determining unit configured to determine a marked area of the user on the image;
an identification unit configured to identify a mark content of the marked area;
and the display control unit is used for controlling the display to display the marked content in an enlarged mode.
With reference to the second aspect, in a first implementation manner of the second aspect, the method includes:
the determining unit is used for determining the marked area of the image through the track coordinates of the mark.
With reference to the first embodiment of the second aspect, in a second embodiment of the second aspect, the method includes:
the determining unit is used for determining that the track of the mark is a closed track, and the user terminal determines that the area in the closed track is the area of the mark.
With reference to the first embodiment of the second aspect, in a third embodiment of the second aspect, the method includes:
the determining unit is used for determining that the track of the mark is a non-closed track, and the user terminal determines that the upper part of the non-closed track is the area of the mark.
With reference to the second aspect, or the first implementation manner of the second aspect, or the second implementation manner of the second aspect, or the third implementation manner of the second aspect, in a fourth implementation manner of the second aspect, the display control unit includes:
the picking module is used for picking the identified marked content;
the processing module is used for processing the extracted marked content and storing the processed marked content;
and the display control module is used for controlling the display to amplify and display the processed marking content.
From the above technical solutions, the embodiment of the present invention has the following advantages:
in the embodiment of the invention, the user terminal detects the marking operation of the user on the image, then determines the marked area of the user on the image, identifies the marked content in the marked area, and then performs amplifying display on the identified marked content, so that the content of interest of the user can be amplified and displayed.
Drawings
FIG. 1 is a schematic diagram of an embodiment of an image recognition method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of another embodiment of an image recognition method according to the present invention;
FIG. 3 is a diagram showing a user terminal according to an embodiment of the present invention;
FIG. 4 is a diagram of another embodiment of a user terminal according to an embodiment of the present invention;
fig. 5 is a schematic diagram of another embodiment of a user terminal according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides an image recognition method and a user terminal, which can realize that the user terminal only enlarges and displays marked contents in a marked area.
Referring to fig. 1, an embodiment of an image recognition method according to an embodiment of the present invention includes:
101. the user terminal detects the operation of marking the image by the user;
in this embodiment, the user terminal may detect that the user performs the marking operation on the image, where the user may mark the image by using a finger, or may mark the image by using a stylus, which is not limited herein, and the image may be obtained by using a camera to capture an image produced by the user terminal, or may be an image downloaded by the user terminal from another electronic device.
102. The user terminal determines the marked area of the user on the image;
in this embodiment, after detecting that the user marks on the image in step 101, the user terminal may determine the area of the mark made on the image by the user.
103. The user terminal identifies the mark content of the marked area;
in this embodiment, after determining the marked area, the user terminal may identify the marked content of the marked area, so that the user may view the identified marked content through the screen of the user terminal.
104. The user terminal enlarges and displays the marked content.
In this embodiment, the user terminal may enlarge and display the tag content identified in step 103 on the screen of the user terminal.
In this embodiment, the user terminal detects that the user marks on the image, then determines the marked area made by the user on the image, identifies the marked content of the marked area by the user terminal, and then enlarges and displays the identified marked content, so that the user terminal can identify only the marked content in the marked area, and further can enlarge and display the content of interest to the user.
For easy understanding, the image recognition method according to the embodiment of the present invention will be described with reference to fig. 2, and another embodiment of the image recognition method according to the embodiment of the present invention includes:
201. the user terminal detects the operation of marking the image by the user;
in this embodiment, the user terminal detects that the user marks the image, the image obtaining manner may be an image produced after the user terminal shoots the image through the camera, or may be an image downloaded by the user terminal from other electronic devices, for example, when the user reads a book, a newspaper or sees an advertisement slogan outdoors, sees a text content or a pattern of interest, the user may issue an instruction to the user terminal, the user terminal shoots the image according to the instruction of the user, and generates the image after shooting, the instruction of the user indicates the user terminal to shoot the text content or the pattern of interest of the user, the image generated after shooting includes the text content or the pattern of interest of the user, the user terminal may display the image on the screen of the user terminal, the user may mark the content of interest on the image, the marking manner of the user on the image is not limited, the user may mark the image through a finger, or may mark the image through a handwriting pen, and of course, the person skilled in the art may also obviously mark other marking manners according to the finger and handwriting manners, in this embodiment, the text content is marked as an example.
In practical application, the user terminal can start a preset marking interface to mark the image by the user, after the user marks, the user can inform the user terminal of finishing marking by clicking a 'finishing' virtual key, the user can also inform the user terminal of finishing marking by a voice command, the mode of informing the user terminal of finishing marking is not limited, the user terminal can preset a threshold A, and when the time of marking the image by the user is greater than or equal to the threshold A, the user terminal can send prompt information to inquire whether the user finishes marking.
202. The user terminal determines the marked area in the image through the marked track coordinates;
in this embodiment, the mark made by the user on the image is not limited, and may be a straight line, a curve, an ellipse, a rectangle, or a circle, in which in practical application, the track of the user terminal identification mark is a prior art, because the user terminal marks the image in the screen of the user terminal, the user terminal can detect the touch point of the user on the screen, identify the track coordinates of the touch point, the user terminal determines the marked area in the image through the track coordinates of the mark, if the track of the mark is a closed track (for example, an ellipse, a rectangle, or a circle), the user terminal can preset the area in the closed track to be the marked area, if the track of the mark is a non-closed track (for example, a straight line or a curve), the user terminal can preset the area above the non-closed track to be the marked area, in practical application, the user terminal can preset the text area nearest to the N rows above the non-closed track to be the marked area, if the image includes the pattern (for example, a person or an object), and if the user terminal can prompt the user to select the closed track to mark, the marked area according to the custom of the user, for example, the marked area below the non-closed track to be the marked area.
203. The user terminal identifies the mark content of the marked area;
in this embodiment, taking the mark content as a text as an example, the user terminal can only recognize the mark content of the marked area through OCR, where the OCR technology is a technology of determining the shape of a character by checking characters printed on paper and detecting dark and bright modes, and then translating the shape into a computer text by using a character recognition method, and the specific implementation manner of OCR is a known technology, which will not be described in detail here.
204. The user terminal extracts the identified marked content;
205. the user terminal processes the extracted marked content and stores the processed marked content;
206. the user terminal enlarges and displays the marked content.
In this embodiment, the user terminal extracts the tag content obtained in step 203, if the tag content is text, the extracted tag content is rearranged, the rearranged tag content is saved and displayed to the user, if the tag content is a pattern, parameters such as size and tone of the pattern are processed, and then the user terminal enlarges and displays the processed tag content, so that in practical application, the user can share the tag content saved in the user terminal with other users.
In this embodiment, the user terminal detects the operation of marking the image by the user, the user terminal determines the marked area in the image through the marked track coordinates, the user terminal identifies the marked content in the marked area, the user terminal extracts the identified marked content, the user terminal processes the extracted marked content and stores the processed marked content, the user terminal displays the processed marked content, the effect that the user terminal only enlarges and displays the marked content in the marked area is realized, the user is convenient to check the interested content, and the user terminal stores the extracted marked content, so that the storage space can be effectively saved, and the user can search the interested content at any time and share the interested content to other users.
The following describes a user terminal according to an embodiment of the present invention for performing the above-mentioned image recognition method, and its basic logic structure is referred to fig. 3, and one embodiment of the user terminal according to the embodiment of the present invention includes:
a detection unit 301, a determination unit 302, an identification unit 303, and a display control unit 304;
a detection unit 301 for detecting an operation of marking on an image by a user;
a determining unit 302 for determining a marked area of the user on the image;
an identifying unit 303 for identifying the mark content of the marked area;
and a display control unit 304 for controlling the display to enlarge and display the identified mark content.
In this embodiment, the detecting unit 301 detects the operation of marking the image by the user, the determining unit 302 determines the marked area of the image by the user, the identifying unit 303 identifies the marked content of the marked area, and the display control unit 304 controls the display to enlarge and display the marked content identified by the identifying unit 303, so that the user terminal can identify only the marked content of the marked area, and further the content of interest to the user can be enlarged and displayed.
In order to better understand the foregoing embodiments, the following describes, with specific embodiments, a data interaction manner in a user terminal by using interactions between modules and units included in the user terminal, and referring to fig. 4, another embodiment of the user terminal in an embodiment of the present invention includes:
a detection unit 401, a determination unit 402, an identification unit 403, and a display control unit 404;
wherein the display control unit 404 includes: a pick-up module 4041, a processing module 4042, and a display control module 4043;
the detection unit 401 detects that the user marks on the image, in practical application, the image acquisition mode may be an image produced after shooting through a camera, or may be an image downloaded by the user terminal from other electronic devices, for example, when the user reads a book, a newspaper or sees an advertisement slogan outdoors, the user sees a text content or a pattern of interest, the user may issue an instruction to the user terminal, the user terminal shoots according to the instruction of the user and generates an image after shooting, the instruction of the user is an instruction to instruct the user terminal to shoot the text content or the pattern of interest of the user, the image generated after shooting contains the text content or the pattern of interest of the user, the user terminal may display the image on the screen of the user terminal first, the user may mark the text content of interest on the image, the marking mode of the user on the image is not limited, the user may mark the image through a finger, or may mark the image through a handwriting, and of course, the person skilled in the art may also determine other marking modes according to the finger and the handwriting mode, the detection unit 401 may determine the image and send the image to the determination unit 402 after finishing the image determination;
the determining unit 402 determines the marked area of the image through the marked track coordinates, wherein the marked area of the image is not limited by the marked track coordinates of the user, the marked area can be a straight line, a curve, an ellipse, a rectangle or a circle, in practical application, the marked track is identified as the marked area in the prior art, because the user marks the image in the screen of the user terminal, the determining unit 402 can detect the touch point of the user, the track coordinates of the touch point are identified, then the determining unit 402 determines the marked area in the image through the marked track coordinates, if the marked track is a closed track (such as an ellipse, a rectangle or a circle), the determining unit 402 determines the area in the closed track as the marked area, if the marked track is a non-closed track (such as a straight line or a curve), the determining unit 402 determines the marked area above the non-closed track, in practical application, if the image comprises the pattern (such as a person or an object), the user can be prompted to select the closed track to mark, and the marked area can be set by himself according to the habit of the user, for example, the marked area is determined as the marked area 403, and the identified area 403 is notified to the determining unit 403;
the recognition unit 403 recognizes the mark content of the marked area, and if the mark content is text, can recognize only the mark content of the marked area by OCR, wherein the OCR technology is a technology of determining the shape of a character by checking characters printed on paper and detecting dark and bright patterns, and then translating the shape into computer text by a character recognition method, and the OCR is a specific implementation manner of the OCR is a known technology, which is not described in detail herein, and the recognition unit 403 sends an image to the extraction module 4041 and notifies the extraction module 4041 of the recognized mark content;
the extraction module 4041 extracts the mark content in the marked region in the image and sends the extracted mark content to the processing module 4042;
if the mark content is text, the processing module 4042 performs rearrangement on the extracted mark content, stores the rearranged mark content and displays the rearranged mark content to the user, if the mark content is a pattern, the processing module 4042 processes parameters such as the size, the tone and the like of the pattern, the processing module 4042 stores the processed mark content, in practical application, the user can share the mark content stored in the user terminal with other users, and the processing module 4042 sends the processed mark content to the display control module 4043;
the display control module 4043 controls the display to enlarge and display the processed mark content.
In this embodiment, the detection unit 401 detects the operation of marking the image by the user, the determination unit 402 determines the marked area of the image through the marked track coordinates, the recognition unit 403 recognizes the marked content of the marked area, the extraction module 4041 extracts the recognized marked content, the processing module 4042 processes the extracted marked content and stores the processed marked content, the display control module 4043 controls the display to display the processed marked content in an enlarged manner, so that the user terminal can display only the marked content in the marked area in an enlarged manner, and further, the user terminal can conveniently view the content of interest, and the storage space can be effectively saved by storing the extracted marked content through the processing module 4042, so that the user can search the content of interest and share the content of interest to other users at any time.
Referring to fig. 5, another embodiment of the ue according to the embodiment of the present invention includes: a processor 501, a camera 502 for producing images, a display 503 and a memory 504 for storing images.
The processor 501 detects an operation of marking an image by a user, determines a marked area of the image by the user, and then identifies mark content of the marked area;
the display 503 enlarges and displays the mark content.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may be modified or some technical features may be replaced with other technical solutions, which may not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. An image recognition method applied to a terminal, the method comprising:
the terminal detects the operation of marking on an image by a user, wherein the image is acquired by the terminal;
detecting the time of the user marking operation on the image, and displaying prompt information when the time exceeds a first threshold value, wherein the prompt information is used for prompting whether the user finishes marking;
receiving the operation of the user input completion mark;
the terminal determines the marked area of the user on the image;
and the terminal identifies the mark content of the marked area, extracts the identified mark content if the mark content is text, rearranges the mark content, enlarges and displays the mark content, adjusts the parameters of the pattern if the mark content is a pattern, and enlarges and displays the adjusted pattern.
2. The method according to claim 1, characterized in that the specific step of the terminal determining the area of the user's marking on the image comprises:
the terminal determines the marked area of the image through the track coordinates of the mark.
3. The method according to claim 2, characterized in that the specific step of the terminal determining the marked area of the image by means of the marked trajectory coordinates comprises:
and if the marked track is a closed track, the terminal determines that the area in the closed track is the marked area.
4. The method according to claim 2, characterized in that the specific step of the terminal determining the marked area of the image by means of the marked trajectory coordinates comprises:
if the marked track is a non-closed track, the terminal determines that the upper part of the non-closed track is the marked area.
5. A terminal, the terminal comprising:
the detection unit is used for detecting the operation of marking on an image by a user, wherein the image is the image acquired by the terminal, detecting the time of the operation of marking on the image by the user, and displaying prompt information when the time exceeds a first threshold value, wherein the prompt information is used for prompting whether the user finishes marking;
receiving the operation of the user input completion mark;
a determining unit configured to determine a marked area of the user on the image;
an identification unit configured to identify a mark content of the marked area;
the picking module is used for picking the identified marked content;
the processing module is used for rearranging the marking content if the marking content is text, and adjusting parameters of the pattern if the marking content is pattern;
and the display control unit is used for amplifying and displaying the processed marking content.
6. The terminal of claim 5, wherein the terminal comprises a base station,
the determining unit is used for determining the marked area of the image through the track coordinates of the mark.
7. The terminal of claim 6, wherein the terminal comprises a base station,
the determining unit is used for determining that the track of the mark is a closed track, and the terminal determines that the area in the closed track is the area of the mark.
8. The terminal of claim 6, wherein the terminal comprises a base station,
the determining unit is used for determining that the track of the mark is a non-closed track, and the terminal determines that the upper part of the non-closed track is the area of the mark.
9. The terminal according to any of the claims 5-8, wherein the display control unit is further configured to share the tag content.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910061460.8A CN109902687B (en) | 2013-09-05 | 2013-09-05 | Image identification method and user terminal |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310400604.0A CN104424472B (en) | 2013-09-05 | 2013-09-05 | A kind of image-recognizing method and user terminal |
CN201910061460.8A CN109902687B (en) | 2013-09-05 | 2013-09-05 | Image identification method and user terminal |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310400604.0A Division CN104424472B (en) | 2013-09-05 | 2013-09-05 | A kind of image-recognizing method and user terminal |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109902687A CN109902687A (en) | 2019-06-18 |
CN109902687B true CN109902687B (en) | 2023-12-08 |
Family
ID=52627798
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310400604.0A Active CN104424472B (en) | 2013-09-05 | 2013-09-05 | A kind of image-recognizing method and user terminal |
CN201910061460.8A Active CN109902687B (en) | 2013-09-05 | 2013-09-05 | Image identification method and user terminal |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310400604.0A Active CN104424472B (en) | 2013-09-05 | 2013-09-05 | A kind of image-recognizing method and user terminal |
Country Status (2)
Country | Link |
---|---|
CN (2) | CN104424472B (en) |
WO (1) | WO2015032308A1 (en) |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9830055B2 (en) | 2016-02-16 | 2017-11-28 | Gal EHRLICH | Minimally invasive user metadata |
CN108461129B (en) * | 2018-03-05 | 2022-05-20 | 余夏夏 | Medical image labeling method and device based on image authentication and user terminal |
CN110059678A (en) * | 2019-04-17 | 2019-07-26 | 上海肇观电子科技有限公司 | A kind of detection method, device and computer readable storage medium |
CN110032994B (en) * | 2019-06-10 | 2019-09-20 | 上海肇观电子科技有限公司 | Character detecting method, reading aids, circuit and medium |
KR20220027081A (en) | 2019-06-10 | 2022-03-07 | 넥스트브이피유 (상하이) 코포레이트 리미티드 | Text detection method, reading support device and medium |
CN116030388B (en) * | 2022-12-30 | 2023-08-11 | 以萨技术股份有限公司 | Processing method for identifying task, electronic equipment and storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102169477A (en) * | 2010-02-25 | 2011-08-31 | 汉王科技股份有限公司 | Electronic document displaying method and device |
CN102428655A (en) * | 2009-05-15 | 2012-04-25 | 三星电子株式会社 | Image processing method for mobile terminal |
CN102662566A (en) * | 2012-03-21 | 2012-09-12 | 中兴通讯股份有限公司 | Magnifying display method and terminal for screen content |
CN102999752A (en) * | 2012-11-15 | 2013-03-27 | 广东欧珀移动通信有限公司 | Method and device for quickly identifying local characters in picture and terminal |
CN103176712A (en) * | 2013-03-08 | 2013-06-26 | 北京小米科技有限责任公司 | Image magnification display method and device |
CN103279286A (en) * | 2013-05-06 | 2013-09-04 | 鸿富锦精密工业(深圳)有限公司 | Electronic device and method for adjusting display scale of pictures |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6956779B2 (en) * | 1999-01-14 | 2005-10-18 | Silicon Storage Technology, Inc. | Multistage autozero sensing for a multilevel non-volatile memory integrated circuit system |
WO2004079708A1 (en) * | 2003-03-04 | 2004-09-16 | Fujitsu Limited | Image display method, image display program, and information device |
JP5229328B2 (en) * | 2008-11-12 | 2013-07-03 | 富士通株式会社 | Character area extraction device, imaging device having character area extraction function, and character area extraction program |
KR101558211B1 (en) * | 2009-02-19 | 2015-10-07 | 엘지전자 주식회사 | User interface method for inputting a character and mobile terminal using the same |
KR101527037B1 (en) * | 2009-06-23 | 2015-06-16 | 엘지전자 주식회사 | Mobile terminal and method for controlling the same |
CN102184396A (en) * | 2011-06-13 | 2011-09-14 | 北方工业大学 | Document image tilt correction method based on OCR recognition feedback |
KR101851239B1 (en) * | 2011-11-08 | 2018-04-23 | 삼성전자 주식회사 | Device and method for processing an image expression of wireless terminal |
TWI544350B (en) * | 2011-11-22 | 2016-08-01 | Inst Information Industry | Input method and system for searching by way of circle |
CN103235836A (en) * | 2013-05-07 | 2013-08-07 | 西安电子科技大学 | Method for inputting information through mobile phone |
-
2013
- 2013-09-05 CN CN201310400604.0A patent/CN104424472B/en active Active
- 2013-09-05 CN CN201910061460.8A patent/CN109902687B/en active Active
-
2014
- 2014-09-02 WO PCT/CN2014/085761 patent/WO2015032308A1/en active Application Filing
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102428655A (en) * | 2009-05-15 | 2012-04-25 | 三星电子株式会社 | Image processing method for mobile terminal |
CN102169477A (en) * | 2010-02-25 | 2011-08-31 | 汉王科技股份有限公司 | Electronic document displaying method and device |
CN102662566A (en) * | 2012-03-21 | 2012-09-12 | 中兴通讯股份有限公司 | Magnifying display method and terminal for screen content |
CN102999752A (en) * | 2012-11-15 | 2013-03-27 | 广东欧珀移动通信有限公司 | Method and device for quickly identifying local characters in picture and terminal |
CN103176712A (en) * | 2013-03-08 | 2013-06-26 | 北京小米科技有限责任公司 | Image magnification display method and device |
CN103279286A (en) * | 2013-05-06 | 2013-09-04 | 鸿富锦精密工业(深圳)有限公司 | Electronic device and method for adjusting display scale of pictures |
Also Published As
Publication number | Publication date |
---|---|
CN109902687A (en) | 2019-06-18 |
CN104424472A (en) | 2015-03-18 |
CN104424472B (en) | 2019-02-19 |
WO2015032308A1 (en) | 2015-03-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109902687B (en) | Image identification method and user terminal | |
KR102068604B1 (en) | Apparatus and method for recognizing a character in terminal equipment | |
US10013624B2 (en) | Text entity recognition | |
US9652704B2 (en) | Method of providing content transmission service by using printed matter | |
JP6396605B2 (en) | Region extraction method and apparatus | |
US9330292B2 (en) | Two-dimensional code scanning method and device | |
CN108885614B (en) | Text and voice information processing method and terminal | |
CN103916593B (en) | For handling the device and method of image in the device with camera | |
CN108875451B (en) | Method, device, storage medium and program product for positioning image | |
US20140056475A1 (en) | Apparatus and method for recognizing a character in terminal equipment | |
CN111586237B (en) | Image display method and electronic equipment | |
JP2013255166A (en) | Image reader and program | |
KR20130066819A (en) | Apparus and method for character recognition based on photograph image | |
CN112001312A (en) | Document splicing method, device and storage medium | |
CN110162286A (en) | A kind of image display method and terminal | |
US10452943B2 (en) | Information processing apparatus, control method of information processing apparatus, and storage medium | |
CN109670507B (en) | Picture processing method and device and mobile terminal | |
JP2005275652A (en) | Apparatus and method for processing input trajectory | |
KR20140124205A (en) | Apparatus and method for automatically focusing an object in device having a camera | |
JP4800144B2 (en) | Character string determination device, character string determination method, character string determination program, and computer-readable recording medium | |
CN115188001A (en) | Handwritten text recognition method and device, electronic equipment and storage medium | |
KR101427820B1 (en) | Drawing Type Image Based CAPTCHA Providing System and CAPTCHA Providing Method | |
JP6408055B2 (en) | Information processing apparatus, method, and program | |
CN108491698B (en) | Watermark generation method and mobile terminal | |
KR102103277B1 (en) | Method for managing for image an electronic device thereof |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |