Chinese OCR.1.1, first to tesseract project home page Download command line tools, source code, Chinese language pack:1.2. The command line tool is decompressed as follows (1.jpg, 1.txt not included):1.3. For Chinese OCR, copy the Simplified Chinese language pack to the "Tessdata" directory:1.4, in DOS switch to
(Intent.action_pick, Android.provider.MediaStore.Images.Media.EXTERNAL_CONTENT_URI); Startactivityforresult (Intent, Request_pick_photo); Start OCR applications and do OCR after taking picturesTo get high-quality images, add a picture path to the intent. Once returned, you can decode it directly using the image path: Privatevoiddispatchtakepictureintent () { Intenttakepictureintent=newintent (mediastore.a
Installing TESSERACT-OCRPreparatory work:Compilation environment: GCC gcc-c++ make (this environment is common machine, can be ignored) ?
1
yum install gcc gcc-c++ make
Dependent packages: autoconf automake libtool libjpeg-devel libpng-devel libtiff-devel zlib-devel Leptonica (1.67 or more)1. autoconf automake libtool libjpeg-devel libpng-devel libtiff-devel Zlib-devel can be installed via Yum:?
12
yum install
Introduction to the Ocr engine and installation of Tesseract in Python, tesseractocr1. Introduction to Tesseract
Tesseract is an open source ocr project supported by google. Its Project address is https://github.com/tesseract-
@egorpugin (ref issue # 209) https://www.dropbox.com/s/8t54mz39i58qslh/ Tesseract-3.05.00dev-win32-vc19.zip?dl=1You have the to install the VC2015 x86 redist from Microsoft.com on order to run them. Leptonica is built with all libs except for libjp2k.
Https://github.com/UB-Mannheim/tesseract/wiki
http://domasofan.spdns.eu/tesseract/
To summarize:1,
Recently to do word recognition, do not let the interface directly with others, so you can only try to use Open source class library. TESSERACT-OCR is an open-source word Recognition project from Hewlett-Packard, which allows us to quickly build a text-to-text recognition system to help develop an OCR system that recognizes images. Because of the Windows environm
The first one must be to download all the relevant code, GitHub is the most convenient https://github.com/tesseract-ocr/tesseractPoint 1, Cppan C + + Chinese Management Pack, very convenient, need to turn-wall, installation package also need. This should be popular, it will definitely fire, because it is too convenient, on Windows like Linux installed C + + depen
simple use and training of TESSERACT-OCR
Tesseract, an Open-source OCR (optical Character recognition, optical character recognition) engine developed by the HP Lab, maintained by Google, and Microsoft Office Document Imaging (MODI), we can continue to train the library, so that the image of the ability to convert tex
In the image of interest in the processing of text recognition, the individual found that some of the tutorials are incomplete. Need to find the west to put together. So this comb the next Windows installation complete record, in the application is the use of Python programming.
First of all, the prerequisite downloads related packages.
Includes Windows Installer (tesseract-ocr-setup-3.05.01) with
Paste the code First:#1.Install Tesseract-ocr*.exe from http://jaist.dl.sourceforge.net/project/tesseract-ocr-alt/ Tesseract-ocr-setup-3.02.02.exe#2.Install Pillow as "pip Install form *.WHL"#3.Install pytesseract as "pip Install
The previous article simply learned the English in the TESSERACT-OCR recognition image (the link address is as follows: www.cnblogs.com/wj-1314/p/9428909.html), it looks good, So this article continues in-depth study TESSERACT-OCR recognize the Chinese in the picture.
first, prepare the Chinese font
Reprint Address: Http://www.jianshu.com/p/a53c732d8da3Tesseract-OCR Learning Series (c) Simple example tesseract API Basic Example using CMake ConfigurationReference Document: Https://github.com/tesseract-ocr/tesseract/wiki/APIExampleThe API provided by
background.
Make sure the foreground is segmented as far as possible from the background (that is, no pixelated or distorted characters).
Apply a text offset correction to the input image to ensure that the text is aligned correctly.
Now, we apply OCR to the following sample image. (First you need to download the sample image in the original link, the original link is given below)Go to your project
indicates the txt name of the output result file, and eng indicates that the language file used for recognition is in English.
3. Open the result.txt file in the tesseract-ocr directory and check that the recognition result is 7542315857. There are 3 character recognition errors and the recognition rate is not very high. Is there any way to provide the recognition rate?
Background introduction:This time is doing a floating population management project, which requires the use of H5 Web page photo identification ID card, then the circle, this is not the function of the app? Products in order to quickly iterate the app has been the function of the H5 piled up, there is no way to solve the problem.Looked up some information, found that in addition to the cost of OCR (Baidu, cloud vein, etc.) is better and support the Ch
First do a background introduction, Tesseract is an open-source OCR component, mainly for the print body text recognition, handwriting recognition ability is poor, support multi-lingual (Chinese, English, Japanese, Korean, etc.). is the strongest OCR component in the open source world. Of course, compared with the world's strongest
From:https://www.raywenderlich.com/93276/implementing-tesseract-ocr-ios
tesseract OCR TutorialLyndsey Scott on February 13, 2015
Code your way into his/her heart this Valentine ' s day!
Update 01/26/2016:updated for Xcode 7.2 and Swift 2.1.
Though I originally wrote this tutorial for Valentine ' s Day, the
Preparations for installing Tesseract-OCR: Compiling Environment: gccgcc-c ++ make (this environment is generally available on machines and can be ignored) packages on which 1yuminstallgccgcc-c ++ make depends: autoconfautomakelibtoollibjpeg-devellibpng-devellibtif... install Tesseract-OCR
Preparations:
Compiling Envir
There are roughly two ocr solutions for android applications, and the most popular one is tesseract. Here I will write down my solutions for the last two days. If you have any defects, please click here:There are two solutions. One is to use tesseract cloud-service, which sends the image information to the cloud and obtains the image analysis data. The other is n
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.