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Image cleaning and OCR improvement package in Python using OpenCV.

Project description

# Athento-imaging

Athento-Imaging is a package developed using Python and OpenCV to improve OCR in documents. Among the documents tested using this package are: passports, bills, delivery notes, budgets, and other common documents.

This package includes several functions to transform images:

  • Remove coloured background.

  • Remove “salt and pepper” noise.

  • Line detection in documents (two approachs).

  • Remove lines in documents.

  • Simple line analysis (which lines are horizontal and vertical, distance between lines, etc.

  • Template matching improved using pyramid transformations.

You can check everything out here: [Athento-Imaging Summary](<docs/>)

The quality of the output and it’s OCR performance will depend on:

  • The quality of the source document, as the quality value increases so does the OCR.

  • The amount of noise in the document and where it’s located.

  • The location of the document’s watermarks (if any).

  • The colour of the document. Clear colours are easier to remove than darker colours due to the proximity of the pixel values between the background and the text.

  • Your personal experience in image transformation. As you might need to perform a combination of operations or change the parameters values significantly.

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