CN113159029A - Method and system for accurately capturing local information in picture - Google Patents
Method and system for accurately capturing local information in picture Download PDFInfo
- Publication number
- CN113159029A CN113159029A CN202110418144.9A CN202110418144A CN113159029A CN 113159029 A CN113159029 A CN 113159029A CN 202110418144 A CN202110418144 A CN 202110418144A CN 113159029 A CN113159029 A CN 113159029A
- Authority
- CN
- China
- Prior art keywords
- picture
- information
- selection frame
- shooting
- local information
- 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.)
- Pending
Links
Images
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
-
- 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
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
- G06T2207/20132—Image cropping
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30176—Document
Abstract
The invention discloses a method for accurately capturing local information in a picture. The method comprises the steps that a selection frame is formed around information needing to be captured in a picture through a laser; shooting the picture with the selection frame, forming the picture and storing the picture into a shooting tool; and identifying the picture in the shooting tool, and cutting and binarizing the picture along the selection frame after the selection frame is identified, so that the original image can be conveniently printed. The invention adopts laser assistance, forms a selection frame around the information to be collected, then identifies the range of the selection frame through software, ignores the information outside the selection frame, only identifies the information inside the selection frame, simultaneously compares the identified information with the contents of the question bank, and can automatically classify and sort the wrong questions successfully, thereby greatly improving the collection efficiency of the wrong questions. The invention also discloses a system for accurately capturing the local information in the picture.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of image information capture, in particular to a method and a system for precisely capturing local information in an image.
[ background of the invention ]
The wrong question book is an important tool in the learning process of students at present, the collection of wrong questions by the students in schools is generally carried out in modes of cutting, picking and copying and the like, and the collection of the wrong questions is carried out by adopting a high-speed shooting instrument and equipment with a screen, such as a mobile phone and a camera.
However, the above collection methods are quite troublesome, for example, when students collect with mobile phones, they often leave a game in a state of enthusiasm due to insufficient self-control.
Moreover, when the mobile phone is used for photographing, the characters around the wrong question are often photographed together, and the content can be cut and printed only by a plurality of steps on the screen, so that the operation is quite troublesome.
In view of the above, it is desirable to provide a method and a system for capturing local information in a picture accurately to overcome the above-mentioned drawbacks.
[ summary of the invention ]
The invention aims to provide a method and a system for accurately capturing local information in a picture, and aims to solve the problems in the prior art.
In order to achieve the above object, an aspect of the present invention provides a method for accurately capturing local information in a picture, where the method includes:
step S11, forming a selection frame around the information to be captured in the picture by the laser;
step S12, shooting the picture with the selection frame, forming the picture and storing the picture in a shooting tool;
step S13, recognizing the picture in the shooting tool, and cutting the picture along the selection frame after recognizing the selection frame;
and 14, identifying the cut picture information.
In some embodiments, the step S14 is followed by:
and step S15, matching the identified information in the question bank, and determining the information as the information needing to be captured after finding the best matched information.
In some embodiments, the step S13 is followed by:
and S17, performing binarization processing on the cut picture.
In some embodiments, the step S11 is followed by:
and step S16, reducing the size of the selection box through an auxiliary tool.
In some embodiments, the auxiliary tool is a ruler or a finger.
In some embodiments, the size of the selection box is changed by controlling the distance between the capture tool and the picture.
In some embodiments, the laser is disposed on the capture tool.
The invention also provides a system for accurately capturing the local information in the picture, which comprises the following steps:
the shooting tool is also provided with a laser, the laser is used for forming a selection frame around information needing to be captured in a picture, and the shooting tool is used for shooting a picture of the picture;
the storage module is used for storing the photos;
a selection frame identification module for identification of a selection frame;
the cropping module is used for cropping the picture along the selection frame;
the binarization processing module is used for processing the cut picture; and the OCR recognition module recognizes the information in the picture.
In some embodiments, the system further comprises:
and the comparison module is used for comparing the identified picture information with the information in the question bank.
In some embodiments, the system further comprises:
an auxiliary tool identification module for identifying an auxiliary tool.
The invention adopts laser assistance, forms a selection frame around the information to be collected, then identifies the selection frame through software, ignores the information outside the selection frame, only identifies the information inside the selection frame, simultaneously compares the identified information with the questions in the question bank, and prints the error-corrected questions after the comparison is successful, thereby greatly improving the collection efficiency of the error questions.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart illustrating a method for capturing local information in a picture accurately according to a preferred embodiment of the present invention.
Fig. 2 is a schematic block diagram of a system for capturing local information in a picture accurately according to a preferred embodiment of the invention.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantageous effects of the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and the detailed description. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
In an embodiment of the present invention, in one aspect, a method for accurately capturing local information in a picture is provided, where the method includes:
step S11, forming a selection frame around the information to be captured in the picture by the laser;
step S12, shooting the picture with the selection frame, forming the picture and storing the picture in a shooting tool;
step S13, recognizing the picture in the shooting tool, and cutting the picture along the selection frame after recognizing the selection frame;
and 14, identifying the cut picture information.
Specifically, when the wrong questions need to be collected, a selection frame is formed on the periphery of the wrong questions through a laser, the selection frame can be rectangular or square in shape, after the selection is completed, a shooting tool is used for shooting, the shot pictures identify the selection frame, the redundant parts outside the selection frame are cut, finally, the content in the selection frame, namely wrong question information, is obtained, and then the wrong question information is identified through an OCR (optical character recognition), so that the required information can be obtained.
In some embodiments, the step S14 is followed by:
and step S15, matching the identified information in the question bank, and determining the information as the information needing to be captured after finding the best matched information.
Specifically, the scheme further needs to connect question banks, compares the information processed by the OCR with questions in the question banks to obtain original questions of wrong questions, and directly prints the original questions.
In some embodiments, the step S13 is followed by:
and S17, performing binarization processing on the cut picture.
Specifically, after binarization processing is carried out, the color of the originally photographed picture is converted into black and white, and printing is facilitated.
In the binarization processing of the image, the gray-scale value of a point on the image is set to 0 or 255, that is, the whole image is obviously black and white. That is, a gray scale image with 256 brightness levels is selected by a proper threshold value to obtain a binary image which can still reflect the whole and local features of the image. In digital image processing, binary images are very important, and particularly in practical image processing, many systems are configured by binary image processing, and in order to perform processing and analysis of binary images, a grayscale image is first binarized to obtain a binarized image, which is advantageous in that when an image is further processed, the collective property of the image is only related to the positions of points with pixel values of 0 or 255, and the multi-level values of the pixels are not related, so that the processing is simplified, and the processing and compression amount of data is small. In order to obtain an ideal binary image, a non-overlapping region is generally defined by closed and connected boundaries. All pixels with the gray levels larger than or equal to the threshold are judged to belong to the specific object, the gray level of the pixels is 255 for representation, otherwise the pixels are excluded from the object area, the gray level is 0, and the pixels represent the background or the exceptional object area.
If a particular object has a uniform gray level inside it and is in a uniform background with gray levels of other levels, a comparable segmentation effect can be obtained using thresholding. If the difference between the object and the background is not represented in gray scale values (e.g., different textures), the difference feature can be converted into a gray scale difference, and then the image can be segmented using a threshold selection technique. The threshold value is dynamically adjusted to realize the binarization of the image, and the specific result of the image segmentation can be dynamically observed.
In some embodiments, the step S11 is followed by:
and step S16, reducing the size of the selection box through an auxiliary tool.
In some embodiments, the auxiliary tool is a ruler or a finger.
Specifically, although the size of the selection frame emitted by the laser can be proportionally enlarged or reduced by adjusting the distance between the shooting tool and the picture, the wrong question cannot be exactly framed each time, sometimes, the length is the same as the wrong question, but the width is larger or smaller, and an auxiliary tool can be added to the scheme for secondary positioning, wherein the auxiliary tool can be a ruler or a finger.
When a selection frame exists in a shot picture and an auxiliary tool also exists, at the moment, the picture is cut for the first time along the selection frame and then cut for the second time along the auxiliary tool, so that the cut picture is just wrong.
In some embodiments, the size of the selection box is changed by controlling the distance between the capture tool and the picture.
In some embodiments, the laser is disposed on the capture tool.
The invention also provides a system for accurately capturing the local information in the picture, which comprises the following steps:
the shooting tool is also provided with a laser 10, the laser is used for forming a selection frame around information needing to be captured in a picture, and the shooting tool is used for shooting a picture of the picture;
a storage module 20 for storing photos;
a selection box identification module 30 for identification of a selection box;
a cropping module 40 for cropping the picture along the selection box;
a binarization processing module 50, which is used for processing the cut picture; and
an OCR recognition module 60 that recognizes information in the picture.
In some embodiments, the system further comprises:
a comparison module 70 for comparing the identified picture information with information in the subject base.
In some embodiments, the system further comprises:
an auxiliary tool identification module 80 for identifying auxiliary tools.
The invention adopts laser assistance, forms a selection frame around the information to be collected, then identifies the selection frame through software, ignores the information outside the selection frame, only identifies the information inside the selection frame, simultaneously compares the identified information with the questions in the question bank, and prints the error-corrected questions after the comparison is successful, thereby greatly improving the collection efficiency of the error questions.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed system or apparatus/terminal device and method can be implemented in other ways. For example, the above-described system or apparatus/terminal device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The invention is not limited solely to that described in the specification and embodiments, and additional advantages and modifications will readily occur to those skilled in the art, so that the invention is not limited to the specific details, representative apparatus, and illustrative examples shown and described herein, without departing from the spirit and scope of the general concept as defined by the appended claims and their equivalents.
Claims (10)
1. A method for accurately capturing local information in a picture is characterized by comprising the following steps:
step S11, forming a selection frame around the information to be captured in the picture by the laser;
step S12, shooting the picture with the selection frame, forming the picture and storing the picture in a shooting tool;
step S13, recognizing the picture in the shooting tool, and cutting the picture along the selection frame after recognizing the selection frame;
and step S14, recognizing the cut picture information.
2. The method for capturing local information in a picture according to claim 1, wherein the step S14 is followed by further comprising:
and step S15, matching the identified information in the question bank, and determining the information as the information needing to be captured after finding the best matched information.
3. The method for capturing local information in a picture according to claim 1, wherein the step S13 is followed by further comprising:
and S17, performing binarization processing on the cut picture.
4. The method for capturing local information in a picture according to claim 1, wherein the step S11 is followed by further comprising:
and step S16, reducing the size of the selection box through an auxiliary tool.
5. The method for precisely grabbing local information in a picture according to claim 4, wherein the auxiliary tool is a ruler or a finger.
6. The method for capturing local information in a picture accurately according to claim 1, wherein the size of the selection box is changed by controlling the distance between the shooting tool and the picture.
7. The method for accurately capturing the local information in the picture according to claim 1, wherein the laser is disposed on the shooting tool.
8. A system for accurately capturing local information in a picture is characterized by comprising:
the shooting tool is also provided with a laser, the laser is used for forming a selection frame around information needing to be captured in a picture, and the shooting tool is used for shooting a picture of the picture;
the storage module is used for storing the photos;
a selection frame identification module for identification of a selection frame;
the cropping module is used for cropping the picture along the selection frame; and
and the binarization processing module is used for processing the cut picture information.
9. The system for precisely capturing local information in a picture according to claim 8, further comprising:
and the comparison module is used for comparing the identified picture information with the information in the question bank.
10. The system for precisely capturing local information in a picture according to claim 9, further comprising:
an auxiliary tool identification module for identifying an auxiliary tool.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2020115001318 | 2020-12-18 | ||
| CN202011500131.8A CN112488110A (en) | 2020-12-18 | 2020-12-18 | Method and system for accurately capturing local information in picture |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113159029A true CN113159029A (en) | 2021-07-23 |
Family
ID=74914110
Family Applications (3)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011500131.8A Pending CN112488110A (en) | 2020-12-18 | 2020-12-18 | Method and system for accurately capturing local information in picture |
| CN202110419111.6A Pending CN113159030A (en) | 2020-12-18 | 2021-04-19 | Wrong question printing system |
| CN202110418144.9A Pending CN113159029A (en) | 2020-12-18 | 2021-04-19 | Method and system for accurately capturing local information in picture |
Family Applications Before (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011500131.8A Pending CN112488110A (en) | 2020-12-18 | 2020-12-18 | Method and system for accurately capturing local information in picture |
| CN202110419111.6A Pending CN113159030A (en) | 2020-12-18 | 2021-04-19 | Wrong question printing system |
Country Status (1)
| Country | Link |
|---|---|
| CN (3) | CN112488110A (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112488110A (en) * | 2020-12-18 | 2021-03-12 | 深圳简捷电子科技有限公司 | Method and system for accurately capturing local information in picture |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106055247A (en) * | 2016-05-25 | 2016-10-26 | 努比亚技术有限公司 | Picture display device, method and mobile terminal |
| CN106375663A (en) * | 2016-09-22 | 2017-02-01 | 宇龙计算机通信科技(深圳)有限公司 | Terminal photographing method and terminal photographing device |
| JP2017068567A (en) * | 2015-09-30 | 2017-04-06 | 富士フイルム株式会社 | Image processing device, image processing method, program, and recording medium |
| CN106951893A (en) * | 2017-05-08 | 2017-07-14 | 奇酷互联网络科技（深圳）有限公司 | Text information acquisition methods, device and mobile terminal |
| CN108664972A (en) * | 2018-06-07 | 2018-10-16 | 赵崇标 | A kind of wrong answer list that information can be electronic and a kind of wrong topic management method |
| CN109478225A (en) * | 2016-08-09 | 2019-03-15 | 株式会社明日星 | Reading device, program and unit |
| CN109753583A (en) * | 2019-01-16 | 2019-05-14 | 广东小天才科技有限公司 | One kind searching topic method and electronic equipment |
| CN110059184A (en) * | 2019-03-28 | 2019-07-26 | 莆田学院 | A kind of operation mistake topic collection and analysis method and system |
| CN110222678A (en) * | 2019-04-30 | 2019-09-10 | 宜春宜联科技有限公司 | A kind of item analysis method, system, readable storage medium storing program for executing and electronic equipment |
| WO2019233212A1 (en) * | 2018-06-07 | 2019-12-12 | Oppo广东移动通信有限公司 | Text identification method and device, mobile terminal, and storage medium |
| CN110659633A (en) * | 2019-08-15 | 2020-01-07 | 坎德拉（深圳）科技创新有限公司 | Image text information recognition method and device and storage medium |
| CN111125394A (en) * | 2018-10-31 | 2020-05-08 | 北京有痕教育科技有限公司 | Wrong question summarizing method in auxiliary teaching book beneficial to thinking resistance |
| CN111563497A (en) * | 2020-04-30 | 2020-08-21 | 广东小天才科技有限公司 | Frame question method and device based on movement track, electronic equipment and storage medium |
| CN111581367A (en) * | 2020-05-11 | 2020-08-25 | 广东小天才科技有限公司 | Method and system for inputting questions |
| CN111582281A (en) * | 2020-05-11 | 2020-08-25 | 广东小天才科技有限公司 | Picture display optimization method and device, electronic equipment and storage medium |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11181249B2 (en) * | 2008-11-12 | 2021-11-23 | Tseng-Lu Chien | Outdoor LED projection light |
| CN105892257B (en) * | 2014-12-10 | 2019-09-03 | 青岛理工大学 | The method and device of sinusoidal structured optical recording hologram |
| US20170053195A1 (en) * | 2015-08-19 | 2017-02-23 | Samsung Electronics Co., Ltd. | Image forming method, image forming device, and computer-readable recording medium therefor |
| KR20180075075A (en) * | 2016-12-26 | 2018-07-04 | 주식회사 코아비즈 | System for using cloud wireless scan |
| CN108446079A (en) * | 2018-01-25 | 2018-08-24 | 宜春小马快印科技有限公司 | Internet print method, system, readable storage medium storing program for executing and computer equipment |
| CN108415209B (en) * | 2018-04-03 | 2020-09-25 | Oppo广东移动通信有限公司 | Structured light projection module, camera shooting assembly and electronic device |
| CN108965634B (en) * | 2018-07-24 | 2020-06-30 | 北京京东尚科信息技术有限公司 | Offline cross-device image printing method and system and shooting device |
| CN112084763A (en) * | 2019-06-13 | 2020-12-15 | 黑龙江省小象教育科技有限公司 | Wrong question management method and system |
| CN110334223A (en) * | 2019-07-01 | 2019-10-15 | 深圳市快易典教育科技有限公司 | Wrong answer list management method and system |
| CN209731398U (en) * | 2019-07-19 | 2019-12-03 | 山东积至电子有限公司 | Data typing pen with camera function |
| CN110379213A (en) * | 2019-08-15 | 2019-10-25 | 刘玉华 | Portable intelligent mistake inscribes collator |
| CN211319406U (en) * | 2019-08-15 | 2020-08-21 | 刘玉华 | Portable intelligent wrong question arranging equipment |
| CN211808513U (en) * | 2019-12-18 | 2020-10-30 | 潘林 | Printer for storing error questions and knowledge points |
| CN111950557A (en) * | 2020-08-21 | 2020-11-17 | 珠海奔图电子有限公司 | Error problem processing method, image forming apparatus and electronic device |
| CN112488110A (en) * | 2020-12-18 | 2021-03-12 | 深圳简捷电子科技有限公司 | Method and system for accurately capturing local information in picture |
-
2020
- 2020-12-18 CN CN202011500131.8A patent/CN112488110A/en active Pending
-
2021
- 2021-04-19 CN CN202110419111.6A patent/CN113159030A/en active Pending
- 2021-04-19 CN CN202110418144.9A patent/CN113159029A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2017068567A (en) * | 2015-09-30 | 2017-04-06 | 富士フイルム株式会社 | Image processing device, image processing method, program, and recording medium |
| CN106055247A (en) * | 2016-05-25 | 2016-10-26 | 努比亚技术有限公司 | Picture display device, method and mobile terminal |
| CN109478225A (en) * | 2016-08-09 | 2019-03-15 | 株式会社明日星 | Reading device, program and unit |
| CN106375663A (en) * | 2016-09-22 | 2017-02-01 | 宇龙计算机通信科技(深圳)有限公司 | Terminal photographing method and terminal photographing device |
| CN106951893A (en) * | 2017-05-08 | 2017-07-14 | 奇酷互联网络科技（深圳）有限公司 | Text information acquisition methods, device and mobile terminal |
| WO2019233212A1 (en) * | 2018-06-07 | 2019-12-12 | Oppo广东移动通信有限公司 | Text identification method and device, mobile terminal, and storage medium |
| CN108664972A (en) * | 2018-06-07 | 2018-10-16 | 赵崇标 | A kind of wrong answer list that information can be electronic and a kind of wrong topic management method |
| CN111125394A (en) * | 2018-10-31 | 2020-05-08 | 北京有痕教育科技有限公司 | Wrong question summarizing method in auxiliary teaching book beneficial to thinking resistance |
| CN109753583A (en) * | 2019-01-16 | 2019-05-14 | 广东小天才科技有限公司 | One kind searching topic method and electronic equipment |
| CN110059184A (en) * | 2019-03-28 | 2019-07-26 | 莆田学院 | A kind of operation mistake topic collection and analysis method and system |
| CN110222678A (en) * | 2019-04-30 | 2019-09-10 | 宜春宜联科技有限公司 | A kind of item analysis method, system, readable storage medium storing program for executing and electronic equipment |
| CN110659633A (en) * | 2019-08-15 | 2020-01-07 | 坎德拉（深圳）科技创新有限公司 | Image text information recognition method and device and storage medium |
| CN111563497A (en) * | 2020-04-30 | 2020-08-21 | 广东小天才科技有限公司 | Frame question method and device based on movement track, electronic equipment and storage medium |
| CN111581367A (en) * | 2020-05-11 | 2020-08-25 | 广东小天才科技有限公司 | Method and system for inputting questions |
| CN111582281A (en) * | 2020-05-11 | 2020-08-25 | 广东小天才科技有限公司 | Picture display optimization method and device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113159030A (en) | 2021-07-23 |
| CN112488110A (en) | 2021-03-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110008944B (en) | OCR recognition method and device based on template matching and storage medium | |
| US8373905B2 (en) | Semantic classification and enhancement processing of images for printing applications | |
| MX2008011002A (en) | Model- based dewarping method and apparatus. | |
| CN104143094A (en) | Test paper automatic test paper marking processing method and system without answer sheet | |
| CN110490214B (en) | Image recognition method and system, storage medium and processor | |
| CN111259891B (en) | Method, device, equipment and medium for identifying identity card in natural scene | |
| CN110009615B (en) | Image corner detection method and detection device | |
| CN112036259A (en) | Form correction and recognition method based on combination of image processing and deep learning | |
| CN105678301B (en) | method, system and device for automatically identifying and segmenting text image | |
| CN113283439B (en) | Intelligent counting method, device and system based on image recognition | |
| CN112597940B (en) | Certificate image recognition method and device and storage medium | |
| CN113159029A (en) | Method and system for accurately capturing local information in picture | |
| CN108133205B (en) | Method and device for copying text content in image | |
| CN111626274B (en) | Social security card identification method | |
| CN114926829A (en) | Certificate detection method and device, electronic equipment and storage medium | |
| KR20190142931A (en) | Code authentication method of counterfeit print image and its application system | |
| CN115457585A (en) | Processing method and device for homework correction, computer equipment and readable storage medium | |
| CN214675331U (en) | Take laser shooting device | |
| US10181077B1 (en) | Document image orientation assessment and correction | |
| CN111797922A (en) | Text image classification method and device | |
| CN111626286A (en) | Method for quickly identifying arbitrary angle alignment of express delivery surface | |
| KR100648350B1 (en) | Apparatus reversing character image and character image reversing method | |
| CN112991470B (en) | Certificate photo background color checking method and system under complex background | |
| CN111488752A (en) | Two-dimensional code identification method and device, electronic equipment and storage medium | |
| CN113111888B (en) | Picture discrimination method and device |
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 |