tesseract-ocrHow can I tune Tesseract OCR for optimal accuracy?

Tesseract OCR can be tuned for optimal accuracy by adjusting the parameters of the Tesseract engine. Here are some of the most important parameters to consider:

1. Page Segmentation Mode: This parameter determines how Tesseract will interpret the page layout. The default is PSM_AUTO which works well in most cases, but for improved accuracy you can set it to PSM_SINGLE_BLOCK or PSM_SINGLE_LINE depending on the type of document you are trying to process.

2. Language: Specifying the language of the document can help Tesseract recognize the text more accurately. For example, you can set the language parameter to eng if the document is in English.

3. OEM: This parameter determines the type of OCR engine that Tesseract will use. The default is OEM_DEFAULT, but for improved accuracy you can set it to OEM_TESSERACT_ONLY or OEM_LSTM_ONLY.

4. Whitelist: If you know the characters that are present in the document, you can specify them in the whitelist parameter to help Tesseract recognize them more accurately.

Here is an example of how to set these parameters in Python:

import pytesseract

pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'

text = pytesseract.image_to_string(
    image,
    lang='eng',
    config='--psm 11 --oem 3 --whitelist ABCDEFGHIJKLMNOPQRSTUVWXYZ',
)

Helpful links

• Tesseract OCR Documentation
• pytesseract Documentation

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