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
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
There are many ways to get tesseract source code. You can get it directly from repo, or you can download a compressed package. However, there are often strange problems when compiling. Here is how to simply configure and compile the source code. Reference original: How to Build tesseract OCR Library on Windows Compilin
Optical character recognition (ocr,optical Character recognition) refers to the process of scanning text data, and then analyzing and processing the image files to obtain the text and layout information. OCR technology is very professional, generally many printing, printing industry practitioners use, can quickly convert paper data into electronic data. About Chinese OC
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
Tesseract is an open source OCR engine that complies with the Apache License 2.0 protocol. Here's how to compile Tesseract on the Android platform and how to quickly create a simple OCR application. Reference Original: Making an Android OCR application with
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-
1, Tesseract IntroductionTesseract is a Google-supported open source OCR project, its Project address: Https://github.com/tesseract-ocr/tesseract, the current source code can be downloaded here.There are two ways to actually use Tesserac
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 (
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
Download the Chi_
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
those used by the U.S. Postal Service to sort mail), Tesseract are unable to recognize handwriting and are limited to about $ fonts in total. Tesseract requires a bit of preprocessing to improve the OCR results; Images need to is scaled appropriately, have as much image contrast as possible, and have text. Finally, Tesseract
First, TESSERACT-OCR is what an OCR Engine that is developed at HP Labs between 1985 and 1995 ... and no W at Google based on the Leptonica (http://leptonica.com/) graphics processing library open source graphic recognition engine. Support Linux, Windows, MAC platforms, Support. NET, C + +, Python, Java, and othe
OCR (Optical Character Recognition): Optical Character Recognition refers to the process of analyzing, recognizing, and obtaining texts in image files.
Tesseract: an open-source OCR recognition engine. In the early stage, the Tesseract engine was developed by the HP lab. Later, it was contributed to the open-source sof
OCR (Optical Character recognition): Optical character recognition refers to the process of analyzing and identifying the text in a picture file and acquiring it.Tesseract: Open source OCR recognition engine, the initial tesseract engine was developed by HP Labs, later contributed to the open source software industry, and then improved by Google, eliminating bugs
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
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.