CN110119743B - Picture identification method, server and computer readable storage medium - Google Patents
Picture identification method, server and computer readable storage medium Download PDFInfo
- Publication number
- CN110119743B CN110119743B CN201910370266.8A CN201910370266A CN110119743B CN 110119743 B CN110119743 B CN 110119743B CN 201910370266 A CN201910370266 A CN 201910370266A CN 110119743 B CN110119743 B CN 110119743B
- Authority
- CN
- China
- Prior art keywords
- picture
- identified
- recognized
- determining
- area
- 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
Images
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
- G06V10/25—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
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Image Analysis (AREA)
- Processing Or Creating Images (AREA)
Abstract
The embodiment of the invention relates to the technical field of intelligent identification, and discloses a picture identification method. In the invention, the picture identification method comprises the following steps: acquiring a selection operation on a sample picture, and determining a selection area on the sample picture according to the selection operation; generating an analysis plate according to the position of the selected area on the specimen picture and the size of the specimen picture; determining a region to be identified of the picture to be identified according to the analysis board; and performing text recognition on the to-be-recognized area of the to-be-recognized picture and generating a text file. The invention also provides a server and a computer readable storage medium. The picture identification method, the server and the computer readable storage medium can improve the picture identification efficiency.
Description
Technical Field
The embodiment of the invention relates to the technical field of intelligent identification, in particular to a picture identification method, a server and a computer readable storage medium.
Background
With the development of the internet, the popularization of mobile phones and the requirement of image recognition in daily life, many image recognition software appears, for example, identification card numbers on identity card photos, house numbers of shops in images, license numbers of automobiles in images and the like are extracted.
The inventor finds that at least the following problems exist in the prior art: the conventional image recognition software has low efficiency for a method for recognizing an image and acquiring target information. Therefore, it is necessary to provide a new picture recognition method to solve the above problems.
Disclosure of Invention
An object of embodiments of the present invention is to provide a picture recognition method, a server, and a computer-readable storage medium, which can improve picture recognition efficiency.
In order to solve the above technical problem, an embodiment of the present invention provides a picture identification method, including: acquiring a selection operation on a sample picture, and determining a selection area on the sample picture according to the selection operation; generating an analysis plate according to the position of the selected area on the specimen picture and the size of the specimen picture; determining a region to be identified of the picture to be identified according to the analysis board; and performing text recognition on the to-be-recognized area of the to-be-recognized picture and generating a text file.
An embodiment of the present invention further provides a server, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the picture recognition method described above.
The embodiment of the present invention further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the image recognition method described above.
Compared with the prior art, the embodiment of the invention generates the analysis plate according to the position of the selection area on the proof picture and the size of the proof picture, so that the area to be identified of the picture to be identified can be directly determined according to the analysis plate, and the selection area on the picture to be identified is determined without performing selection operation on each picture to be identified once, so that the identification of a plurality of pictures to be identified is simpler, and the picture identification efficiency is improved.
In addition, before the selecting operation on the acquired sample image, the method further comprises the following steps: and selecting one of the pictures to be identified as a sample picture. The proof picture is one of the pictures to be identified, and the selection area is determined according to the position of the required data on the proof picture, so that the method can be applied to other pictures to be identified, and the selection accuracy of the selection area can be ensured.
In addition, before determining the region to be identified of the picture to be identified according to the analysis board, the method further includes: identifying attribute information of the sample sheet picture; selecting a picture with the same attribute information as the sample picture from the pictures to be identified as a picture to be processed; the determining the region to be identified of the picture to be identified according to the analysis board specifically comprises: and determining the area to be identified of the picture to be processed according to the analysis board. The pictures with the same attribute information as the sample pictures are screened from the pictures to be identified, so that the pictures which are useful for a user can be simplified and identified, the problem of long consumed time caused by identifying useless pictures is avoided, and the summarizing efficiency is improved.
In addition, before determining the region to be identified of the picture to be identified according to the analysis board, the method further includes: displaying a document input box on a display interface; receiving the content in the document input box to determine a target document to be identified; and taking the picture in the target document as a picture to be identified. By selecting the picture in the target document as the picture to be identified, the picture which is useful for the user is identified in a targeted manner, and the summarizing efficiency is improved.
In addition, before determining the region to be identified of the picture to be identified according to the analysis board, the method further includes: displaying a picture attribute input box on a display interface; receiving the content in the picture attribute input box, and determining target attribute information according to the content; selecting a picture which is the same as the target attribute information from the pictures to be identified as a picture to be processed; the determining the region to be identified of the picture to be identified according to the analysis board specifically comprises: and determining the area to be identified of the picture to be processed according to the analysis board. The target attribute information is set by the user, and the picture which is the same as the target attribute information is screened from the pictures to be identified to serve as the picture to be processed, so that the pictures which are useful for the user can be simplified and identified, the problem that time consumption is too long due to the fact that useless pictures are also identified is solved, and the summarizing efficiency is improved.
In addition, the target attribute information includes one of a picture format, a picture naming keyword, a picture taking time, or any combination thereof.
In addition, determining a plurality of selected areas in the selected areas on the specimen picture according to the selection operation; the text recognition of the to-be-recognized area of the to-be-recognized picture and the generation of the text file specifically include: acquiring a selection sequence and corresponding names of a plurality of selection areas; performing text recognition on a plurality of to-be-recognized areas of the to-be-recognized picture and generating a text file; and the identification results of the areas to be identified are listed to the corresponding names of the selected areas. The recognition results of the multiple areas to be recognized are listed to the corresponding names of the multiple selection areas, so that a recognition result list of the multiple selection areas is formed, data confusion of the selection areas is avoided, and sorting and checking of the data are facilitated.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
Fig. 1 is a flowchart of a picture recognition method according to a first embodiment of the present invention;
fig. 2 is a flowchart of a picture recognition method according to a second embodiment of the present invention;
fig. 3 is a flowchart of a picture recognition method according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a server according to a fourth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that numerous technical details are set forth in order to provide a better understanding of the present application in various embodiments of the present invention. However, the technical solution claimed in the present application can be implemented without these technical details and various changes and modifications based on the following embodiments.
A first embodiment of the present invention relates to a picture recognition method, as shown in fig. 1, including the steps of:
s11: and acquiring a selection operation on the specimen picture, and determining a selection area on the specimen picture according to the selection operation.
Specifically, in this step, a selection area is determined by a frame selection manner, for example, a starting point and an end point of a selection operation are collected as a border intersection point, an adjustable rectangular frame is constructed, and an area framed and selected by the rectangular frame is used as an area to be identified. It is understood that the framed selection area may not be rectangular, but may have any other shape, and in this case, the selection area may be formed by connecting a plurality of selection points in the selection operation by a smooth curve (or straight line). Of course, the selected area may also be determined by smearing, which is not limited herein.
Optionally, before step S11, the method may further include: one of the pictures to be identified is selected as a sample picture, and the sample picture is one of the pictures to be identified, so that the selection area is determined according to the position of the required data on the sample picture, the method can be also suitable for other pictures to be identified, and the accuracy of the selection area can be ensured.
S12: and generating an analysis plate according to the position of the selected area on the specimen picture and the size of the specimen picture.
Specifically, in the step, the piece which is painted/framed by the user is scratched out by software like a picture frame to form a background board only with a middle painting area, except that the middle painting area is blank, the rest backgrounds are all boards which do not display any picture characters, namely analysis boards, and the analysis boards with the selected areas painted are automatically stored by the software so as to be mapped to the pictures to be analyzed to obtain the areas to be identified.
S13: and determining the area to be identified of the picture to be identified according to the analysis board.
Specifically, in this step, the system uses the saved analysis board to uniformly cover all the selected pictures to be identified, and the background board corresponding to the extracted middle area covers the selected pictures to be identified (that is, the software uses the selected area as the extraction board to map to the pictures to be identified, and extracts a part of the pictures containing the required data information). Therefore, after all the pictures to be recognized are covered with the analysis board, only the selection area selected by the selection operation is displayed, namely the data part required by the user.
Optionally, before step S13, the method may further include: the method comprises the steps of displaying a document input box (an input box capable of providing document options or manually inputting document addresses) on a display interface, receiving contents in the document input box to determine a target document to be identified, taking a picture in the target document as the picture to be identified, and selecting the picture in the target document as the picture to be identified, so that the pictures which are useful for users in a targeted mode are identified, and the summarizing efficiency is improved. For example, in the objective camera test, a picture document of analysis results of colorcheck, SFR, distortion, and the like may be selected as a target document, so that a tester can conveniently analyze the specificity of a certain result in a picture.
It is worth mentioning that the user must select the target document through setting the necessary selection, thereby improving the efficiency of the picture analysis.
S14: and performing text recognition on the to-be-recognized area of the to-be-recognized picture and generating a text file.
Specifically, in this step, after the system obtains all the pictures of the area to be recognized (data portion), the system starts to perform unified recognition, that is, recognizes the pictures of the area to be recognized screened out by the analysis board, reads the information of the text or the number, and after the system recognizes all the pictures of the area to be recognized one by one, a document (which may be in a form of a table) is generated, that is, the required data is summarized from the large number of test result pictures to form the table.
Compared with the prior art, the embodiment of the invention generates the analysis plate according to the position of the selection area on the proof picture and the size of the proof picture, so that the area to be identified of the picture to be identified can be directly determined according to the analysis plate, and the selection area on the picture to be identified is determined without performing selection operation on each picture to be identified once, so that the identification of a plurality of pictures to be identified is simpler, and the picture identification efficiency is improved.
A second embodiment of the present invention relates to a picture recognition method. The second embodiment is substantially the same as the first embodiment, and mainly differs therefrom in that: in a second embodiment of the present invention, the selecting area on the proof picture is determined according to the selecting operation, and the number of the determined selecting areas is multiple; the text recognition of the to-be-recognized area of the to-be-recognized picture and the generation of the text file specifically include: acquiring a selection sequence and corresponding names of a plurality of selection areas; performing text recognition on a plurality of to-be-recognized areas of the to-be-recognized picture and generating a text file; and the identification results of the areas to be identified are listed to the corresponding names of the selected areas. The identification results of the multiple areas to be identified are listed to the corresponding names of the multiple selection areas, so that an identification result list of the multiple selection areas is formed, data confusion of each selection area is avoided, and sorting and checking of the data are facilitated.
As shown in fig. 2, the picture identification method in this embodiment specifically includes the following steps:
s21: and acquiring selection operation on the sample sheet picture, and determining a plurality of selection areas on the sample sheet picture according to the selection operation.
Specifically, in this step, when the contents to be identified include multiple contents, the contents may be framed in multiple pick-up frames, or may be painted through multiple painting areas, so as to form multiple pick-up areas, and each pick-up area corresponds to one of the contents to be identified, so as to better classify and summarize the multiple contents to be identified.
S22: and generating an analysis plate according to the position of the selected area on the specimen picture and the size of the specimen picture.
S23: and determining the area to be identified of the picture to be identified according to the analysis board.
S24: and acquiring the selection sequence and the corresponding name of the plurality of selection areas.
Specifically, in this step, a plurality of text files are corresponding to a plurality of selection areas one by one, for example, when two to three or even more data needs to be read from a picture, the multiple frame selections require the user to input the names of frame 1, frame 2, frame 3, for example, frame 1 is named "saturation", frame 2 is named "brightness", and frame 3 is named "brightness", the generated document is named according to frame 1, frame 2, and frame 3, that is, it is equivalent to analyzing three selection areas per frame, and the three selection areas are correspondingly classified into "saturation", "brightness", and "brightness" according to the selection sequence.
S25: and performing text recognition on the multiple regions to be recognized of the picture to be recognized and generating a text file.
Specifically, in this step, the recognition results of the multiple regions to be recognized are ranked under the names corresponding to the multiple selection regions, so as to form a summary table of multiple pictures and multiple recognition regions on each picture. For example, as shown in the following table:
of course, the positions of "saturation, brightness, and brightness" and "picture 1, picture 2, and picture 3" may be interchanged, which is not limited herein.
Steps S22 and S23 in this embodiment are similar to steps S12 and S13 in the first embodiment, and are not described again here.
Compared with the prior art, the embodiment of the invention generates the analysis plate according to the position of the selected area on the specimen picture and the size of the specimen picture, so that the area to be identified of the picture to be identified can be directly determined according to the analysis plate, and each picture to be identified does not need to be subjected to one-time selection operation to determine the selected area on the picture to be identified, so that the identification of a plurality of pictures to be identified is simpler, and the picture identification efficiency is improved; meanwhile, the recognition results of the multiple areas to be recognized are listed to the corresponding names of the multiple selection areas, so that a recognition result list of the multiple selection areas is formed, the data confusion of each selection area is avoided, and the sorting and checking of the data are facilitated.
A third embodiment of the present invention relates to a picture recognition method. The third embodiment is substantially the same as the second embodiment, and mainly differs in that: in a third embodiment of the present invention, before determining the region to be recognized of the picture to be recognized according to the analysis board, the method further includes: displaying a picture attribute input box on a display interface; receiving the content in the picture attribute input box, and determining target attribute information according to the content; selecting a picture which is the same as the target attribute information from the pictures to be identified as a picture to be processed; the determining the area to be identified of the picture to be identified according to the analysis board specifically comprises the following steps: and determining the area to be identified of the picture to be processed according to the analysis board. The target attribute information is set by the user, and the picture which is the same as the target attribute information is screened from the pictures to be identified to be used as the pictures to be processed, so that the pictures which are useful for the user can be simplified and identified, the problem of long time consumption caused by identifying the useless pictures is avoided, and the summarizing efficiency is improved.
As shown in fig. 3, the picture identification method in this embodiment specifically includes the following steps:
s31: and acquiring selection operation on the sample sheet picture, and determining a plurality of selection areas on the sample sheet picture according to the selection operation.
S32: and generating an analysis plate according to the position of the selected area on the specimen picture and the size of the specimen picture.
S33: and selecting a picture with the same target attribute information as the picture to be processed from the plurality of pictures to be identified.
Specifically, in this step, a picture attribute input box is displayed on a display interface, content in the picture attribute input box is received, target attribute information is determined according to the content, and a picture which is the same as the target attribute information is selected from a plurality of pictures to be identified as a picture to be processed, wherein the target attribute information includes one or any combination of a picture format, a picture naming keyword and picture shooting time.
For the case that the target attribute information is a picture naming key word, for example, in a camera test, 3 to 5 pictures are generally taken in each group of test pictures, and the picture name of the picture to be processed is selected, for example, the picture including (1) or (2) or (3) in the picture name is selected, so that the number of pictures to be analyzed is screened to improve the summarizing efficiency.
It can be understood that the attribute information of the proof picture is identified, a picture which is the same as the attribute information of the proof picture is selected from the pictures to be identified as a picture to be processed, and the picture which is the same as the attribute information of the proof picture is screened from the pictures to be identified, so that the pictures which are useful for a user can be identified, the problem of long consumed time caused by identifying the useless pictures is avoided, and the summarizing efficiency is improved.
In practical applications, when a smear or a frame is selected in the proof picture, the apparatus can read detailed attribute information of the picture selected at this time, and at this time, a how option box pops up to determine how to select a large number of pictures to be analyzed later. This option is to select all pictures to be analyzed after the device is selected according to the detailed attribute information of the pictures to be read (for example, the names are selected to contain the same letters, or the time is uniform in one day, or the pictures are all in PNG format).
S34: and determining the area to be identified of the picture to be processed according to the analysis board.
S35: and acquiring the selection sequence and the corresponding name of the plurality of selection areas.
S36: and performing text recognition on the multiple regions to be recognized of the picture to be processed and generating a text file.
Steps S31, S32, S34, S35, and S36 in this embodiment are similar to steps S21, S22, S23, S24, and S35 in the first embodiment, and are not described again here.
Compared with the prior art, the embodiment of the invention generates the analysis plate according to the position of the selection area on the specimen picture and the size of the specimen picture, so that the area to be identified of the picture to be identified can be directly determined according to the analysis plate, and each picture to be identified does not need to be subjected to selection operation once to determine the selection area on the picture to be identified, so that the identification of a plurality of pictures to be identified is simpler, and the picture identification efficiency is improved; meanwhile, the identification results of the multiple areas to be identified are listed to the corresponding names of the multiple selected areas, so that an identification result list of the multiple selected areas is formed, the data confusion of each selected area is avoided, and the data sorting and checking are facilitated; in addition, the target attribute information is set by the user, and the picture which is the same as the target attribute information is screened from the pictures to be identified to be used as the picture to be processed, so that the pictures which are useful for the user can be simplified for identification, the problem of overlong time consumption caused by identifying useless pictures is solved, and the summarizing efficiency is improved.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
A fourth embodiment of the present invention relates to a server, as shown in fig. 4, including: at least one processor 401; and a memory 402 communicatively coupled to the at least one processor 401; the memory 402 stores instructions executable by the at least one processor 401, and the instructions are executed by the at least one processor 401 to enable the at least one processor 401 to execute the above-mentioned picture processing method.
Where the memory 402 and the processor 401 are coupled by a bus, which may include any number of interconnected buses and bridges that couple one or more of the various circuits of the processor 401 and the memory 402 together. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, etc., which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 401 may be transmitted over a wireless medium via an antenna, which may receive the data and transmit the data to the processor 401.
The processor 401 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 402 may be used to store data used by processor 401 in performing operations.
A fifth embodiment of the present invention relates to a computer-readable storage medium storing a computer program. The computer program realizes the above-described method embodiments when executed by a processor.
That is, as can be understood by those skilled in the art, all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples for carrying out the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.
Claims (8)
1. A picture recognition method is characterized by comprising the following steps:
acquiring a selection operation on a sample picture, and determining a selection area on the sample picture according to the selection operation;
generating an analysis plate according to the position of the selected area on the specimen picture and the size of the specimen picture;
determining a region to be identified of the picture to be identified according to the analysis board;
performing text recognition on the to-be-recognized area of the to-be-recognized picture and generating a text file;
determining a plurality of selected areas in the selected areas on the specimen picture according to the selection operation;
the text recognition of the to-be-recognized area of the to-be-recognized picture and the generation of the text file specifically include:
acquiring the selection sequence and the corresponding name of a plurality of the selection areas;
performing text recognition on a plurality of to-be-recognized areas of the to-be-recognized picture and generating a text file;
and the identification results of the areas to be identified are listed to the corresponding names of the selected areas.
2. The method according to claim 1, wherein before the selecting operation on the proof picture, the method further comprises:
and selecting one of the pictures to be identified as a sample picture.
3. The picture recognition method according to claim 1, wherein before determining the region to be recognized of the picture to be recognized according to the analysis board, the method further comprises:
identifying attribute information of the sample picture;
selecting a picture with the same attribute information as the sample picture from the pictures to be identified as a picture to be processed;
the determining the region to be identified of the picture to be identified according to the analysis board specifically comprises:
and determining the area to be identified of the picture to be processed according to the analysis board.
4. The picture recognition method according to claim 1, wherein before determining the region to be recognized of the picture to be recognized according to the analysis board, the method further comprises:
displaying a document input box on a display interface;
receiving the content in the document input box to determine a target document to be identified;
and taking the picture in the target document as a picture to be identified.
5. The picture recognition method according to claim 1, wherein before determining the region to be recognized of the picture to be recognized according to the analysis board, the method further comprises:
displaying a picture attribute input box on a display interface;
receiving the content in the picture attribute input box, and determining target attribute information according to the content;
selecting a picture which is the same as the target attribute information from the pictures to be identified as a picture to be processed;
the determining the region to be identified of the picture to be identified according to the analysis board specifically comprises:
and determining the area to be identified of the picture to be processed according to the analysis board.
6. The picture recognition method according to claim 5, wherein the target attribute information includes one of a picture format, a picture naming keyword, a picture taking time, or any combination thereof.
7. A server, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the picture recognition method of any one of claims 1 to 6.
8. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, implements the picture recognition method according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910370266.8A CN110119743B (en) | 2019-05-06 | 2019-05-06 | Picture identification method, server and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910370266.8A CN110119743B (en) | 2019-05-06 | 2019-05-06 | Picture identification method, server and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110119743A CN110119743A (en) | 2019-08-13 |
| CN110119743B true CN110119743B (en) | 2023-04-04 |
Family
ID=67521727
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910370266.8A Active CN110119743B (en) | 2019-05-06 | 2019-05-06 | Picture identification method, server and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110119743B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113239224A (en) * | 2021-05-14 | 2021-08-10 | 百度在线网络技术（北京）有限公司 | Abnormal document identification method, device, equipment and storage medium |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108874283A (en) * | 2018-05-29 | 2018-11-23 | 努比亚技术有限公司 | Image identification method, mobile terminal and computer readable storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102012102797B4 (en) * | 2012-03-30 | 2017-08-10 | Beyo Gmbh | Camera-based mobile device for converting a document based on captured images into a format optimized for display on the camera-based mobile device |
-
2019
- 2019-05-06 CN CN201910370266.8A patent/CN110119743B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108874283A (en) * | 2018-05-29 | 2018-11-23 | 努比亚技术有限公司 | Image identification method, mobile terminal and computer readable storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 一种基于连通域的蒙古文文档图像版面分析方法;魏宏喜等;《内蒙古大学学报(自然科学版)》;20070915(第05期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110119743A (en) | 2019-08-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110135411B (en) | Business card recognition method and device | |
| JP4366108B2 (en) | Document search apparatus, document search method, and computer program | |
| CN109325414A (en) | Extracting method, the extracting method of device and text information of certificate information | |
| JP2007286767A (en) | Image retrieval system, image retrieval server, control method therefor, computer program and computer-readable storage medium | |
| JP2019520662A (en) | Content-based search and retrieval of trademark images | |
| CN107728892B (en) | Picture display method, device, terminal and storage medium | |
| CN109993075B (en) | Chat application session content storage method, system and device | |
| CN110619252A (en) | Method, device and equipment for identifying form data in picture and storage medium | |
| AU2018410912B2 (en) | Method and system for background removal from documents | |
| CN108304562B (en) | Question searching method and device and intelligent terminal | |
| CN110990617B (en) | Picture marking method, device, equipment and storage medium | |
| CN108304815A (en) | A kind of data capture method, device, server and storage medium | |
| CN115205883A (en) | Data auditing method, device, equipment and storage medium based on OCR (optical character recognition) and NLP (non-line language) | |
| CN110119743B (en) | Picture identification method, server and computer readable storage medium | |
| CN110852131B (en) | Examination card information acquisition method, system and terminal | |
| CN108573070A (en) | Picture recognition method for sorting, device and Photo folder method for building up | |
| CN112464629B (en) | Form filling method and device | |
| CN111178365A (en) | Picture character recognition method and device, electronic equipment and storage medium | |
| CN109040774B (en) | Program information extraction method, terminal equipment, server and storage medium | |
| CN111208955B (en) | Printing method, device and server | |
| US20200388076A1 (en) | Method and system for generating augmented reality interactive content | |
| CN108021648B (en) | Question searching method and device and intelligent terminal | |
| CN110751140A (en) | Character batch recognition method and device and computer equipment | |
| CN111046863B (en) | Data processing method, device, equipment and computer readable storage medium | |
| US9195888B2 (en) | Document registration apparatus and non-transitory computer readable medium |
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 |