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This article mainly explains "Python how to achieve OCR recognition", the content of the article is simple and clear, easy to learn and understand, the following please follow the editor's ideas slowly in depth, together to study and learn "Python how to achieve OCR recognition" bar!

Python implements OCR recognition: pytesseract

Python often uses pytesseract for text recognition on pictures, that is, OCR recognition. The complete code is relatively simple, as long as the following line, but the actual use of the environment configuration is prone to errors.

From PIL import Imageimport pytesseract text = pytesseract.image_to_string (Image.open ("/ Users/alice/Documents/Develop/PythonCode/textinphoto.PNG")) print (text)

Therefore, you need to install the pillow and pytesseract dependency packages before using them.

However, the runtime still reports an error, raise TesseractNotFoundError ()

Pytesseract.pytesseract.TesseractNotFoundError: tesseract is not installed or it "s not in your path

The reason is that tesseract is not installed, and then the error is still prompted after using pip3 install tesseract, as shown in the figure:

Alicedembp:~ alice$ pip3 install tesseractRequirement already satisfied: tesseract in / Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (0.1.3) alicedembp:~ alice$ tesseract-bash: tesseract: command not found

Can not use, found a lot of tutorials, said to use brew installation, so it can be solved, the steps are:

Install brew first

Alicedembp:~ alice$ ruby-e "$(curl-fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

Then use brew to install leptonica

Alicedembp:~ alice$ brew install leptonica

Install tesseract using brew

Alicedembp:~ alice$ brew install tesseract

If the installation is successful, use the command line tesseract-v to check whether the installation is successful. If the version number appears, the installation is successful.

Alicedembp:~ alice$ tesseractUsage: tesseract-- help |-- help-extra |-- version tesseract-- list-langs tesseract imagename outputbase [options...] [configfile...] OCR options:-l LANG [+ LANG] Specify language (s) used for OCR.NOTE: These options must occur before any configfile. Single options:-- help Show this help message. -- help-extra Show extra help for advanced users. -- version Show version information. -- list-langs List available languages for tesseract engine. Alicedembp:~ alice$ tesseract-vtesseract 4.0.0 leptonica-1.78.0 libgif 5.1.4: libjpeg 9c: libpng 1.6.36: libtiff 4.0.10: zlib 1.2.11: libwebp 1.0.2: libopenjp2 2.3.1 Found AVX2 Found AVX Found SSE

Then you can use it directly, using the following code:

Alicedembp:~ alice$ tesseract / Users/alice/Documents/Develop/PythonCode/textinphoto.png / Users/alice/Documents/Develop/PythonCode/output.txt

Open the picture in textinphoto.PNG and output the text to output.txt, as shown below

Running successfully, the output.txt document is generated, and the text in it is the text identified in the picture.

Thank you for your reading, the above is the content of "how to achieve OCR identification in Python". After the study of this article, I believe you have a deeper understanding of how to achieve OCR identification in Python, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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