how to train tesseract ocr python

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FAQ

How can I build an image equation solver in iOS?
This is a big task. The key part of the problem is building an Abstract syntax tree s for the equation. This uses a tree structure where each node is a one operator number or variable. Once you have constructed such a tree you can then apply various rules of algebra to arrive at the answer. There are various levels of difficulty in the task. The easiest would be lower school level problems when all the equations appear in a single line. Something like what is 2 times 3 - 4 math ? There you can take the output from a OCR program an feed it into a parser. When you allow sub-scripts and superscripts things get harder as you then need to figure out the 2D arrangement of the symbols. Adding roots and fractions make it much trickier. Assuming you manage to recognise the input there are many options. There are a lot of different Computer Algebra Systems and libraries about which can do the algebra. Some allow you to other programs to them. I've worked on one mathematical parsing library Jep (Java Expression Parser) which can do limited algebra. There is an open source Jep andmercial versions Jep 3.4 available. Its worth looking at the photomath s s and s s to see the scope of what it can do. For instance it can't cope with handwriting and is limited to mainly middle school mathematics.
How can I improve the accuracy of Tesseract OCR?
This is a big task. The key part of the problem is building an Abstract syntax tree s for the equation. This uses a tree structure where each node is a one operator number or variable. Once you have constructed such a tree you can then apply various rules of algebra to arrive at the answer. There are various levels of difficulty in the task. The easiest would be lower school level problems when all the equations appear in a single line. Something like what is 2 times 3 - 4 math ? There you can take the output from a OCR program an feed it into a parser. When you allow sub-scripts and superscripts things get harder as you then need to figure out the 2D arrangement of the symbols. Adding roots and fractions make it much trickier. Assuming you manage to recognise the input there are many options. There are a lot of different Computer Algebra Systems and libraries about which can do the algebra. Some allow you to other programs to them. I've worked on one mathematical parsing library Jep (Java Expression Parser) which can do limited algebra. There is an open source Jep andmercial versions Jep 3.4 available. Its worth looking at the photomath s s and s s to see the scope of what it can do. For instance it can't cope with handwriting and is limited to mainly middle school mathematics.
Which tool is better to extract a text with different font styles and written in a curved form from scanned documents using the Python language (open source)?
Tesseract ocr. You can train the engine too. Look at their GitHub repository on how to train a custom model.
How do I use PyTesser and Tesseract OCR in Ubuntu with Python?
tesseract-ocr It is an optical character reader as the name suggests it will try to read the characters from your input .n Tesseract installation n sudo apt-get install tesseract-ocr code pytesser and python-tesseract These are python wrapper classes that help you to use tesseract-ocr in your python program. PyTesser is for windows only and this project only reached to ..1 and abondoned since May 27 since you are on Ubuntu you aren't going to use it anyway. PIL Python Imaging Library it's not actively maintained and old so I suggest you to use Pillow which is an alternative to PIL. Both of these helps you manipulate with your to greyscale. code captcha = ('1') code code # Saving the to extract the characters in your terminaln $ python the_ (how it looks) the above code was a simple demonstration.
What are the algorithms for text detection and recognition in images?
Thanks for the A2A. I don't specifically know about C# but I think you may be able to wrap Tesseract ( tesseract-ocr s ) and use that. Tesseract OCR overview I am sure openCV have some bindings you may be able to use as well. This is of course short of writing your own OCR routines. A previous answer with some relevance here Sid Hazra's answer to What are some great OCR engines for MATLAB? n horizontal-rule nWhen you say 't ext detection and recog in s and you actually refer to. Recognition algorithms differ based on and return short segments of the s 29 377 master_ s s you may still encounter the I h rn problems and there are a thousand different ways to work with those. For toy systems I used a post-processor based on dictionary and filters that operated over the latin unicode block (I used matlab so numbers are faster to filter there). You can also use statistical filters that depend on neighborhood topology.
How can I use Tesseract OCR to extract Arabic language from image using python?
Well Ive used Tesseract to extract Hebrew from an .png .txt Where and .txt is your output file (taken from Rafie Tarabay user 9263642 Arabic OCR in Python ) Some tips File format matters - for example you need to convert PDF to tiff or png so that tesseract can read it. Font and size matter - Don know if you can change these but you should be aware of them. Experiment with these parameters and see which gives you the best OCR accuracy. ordered-list Happy OCRing!