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Can I train Tesseract OCR?

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Can I train Tesseract OCR?

Seems like it misread some character, probably because the font in the image was unique and strange. Luckily, you can train your Tesseract so it can read your font easily.

How do you use Tesseract in Google Colab?

Here are the steps to extract text from the image in Google Colab Notebook for OCR using Pytesseract:

  1. Step1. Install Pytesseract and tesseract-OCR in Google Colab. !
  2. Step2. import libraries.
  3. Step3. Upload Image to the Colab.
  4. Step4. Text Extraction.

Which algorithm is used in Tesseract?

A quadratic spline is fitted to the most populous partition, (assumed to be the baseline) by a least squares fit. The paper does not explicitly state whether it uses a neural network, but given the content I would say it’s likely, at least for parts of it.

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Is the Tesseract accurate?

While Tesseract is known as one of the most accurate free OCR engines available today, it has numerous limitations that dramatically affect its performance; its ability to correctly recognize characters in a scan or image.

Which is better Easy OCR or Tesseract?

As per my testing, Tesseract performs better on alphabet recognition, while EasyOCR does a better job on numbers. If capitalization is important for your processing, you should also use Tesseract. On the other hand, if your document contains a lot of numbers, you may favor EasyOCR.

How do I train Tesseract data?

Overview of Training Process

  1. Prepare training text.
  2. Render text to image + box file.
  3. Make unicharset file.
  4. Make a starter traineddata from the unicharset and optional dictionary data.
  5. Run tesseract to process image + box file to make training data set.
  6. Run training on training data set.
  7. Combine data files.

What is Tessdata in Tesseract OCR?

tessdata: The standard model that only works with Tesseract 4.0. 0. Contains both legacy engine (–oem 0)and LSTM neural net based engine (–oem 1). tessdata_fast: This model provides an alternate set of integerized LSTM models which have been built with a smaller network.

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How do you use tesseract in Google Colab?