Toolkit for document image processing
Project description
Contextualization
In progress toolkit for document image pre processing.
Aimed for images to be OCRed.
Main Available methods
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Auto rotate image
Uses left margin of a document to calculate the angle of rotation present, and correct it accordingly.
Can be given the rotation direction (clocwise or counter_clockwise), or in auto mode tries to determine the side to which the document is tilted (can be none, in which case image won't be rotated).
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Calculate rotation direction
Calculates rotation direction of an image by finding the biggest sets of the first black pixels appearances (with outliers removed) in the image for each direction: clockwise, counter_clockwise and none.
For none direction, the set is created based on pixels with same 'x' coordinate that with less than a 5% height difference, relative to the image's height.
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Binarize document
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Split document into columns
Analyzes document image pixel color frequency and split document image into columns.
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Auto crop document
Analyzes document image pixel color frequency and cut document margins, aiming mostly to remove possible folds in the corners.
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Identify document images Identify document images in image, using algorithm available in leptonica's repository that finds potential image masks.
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Get document delimiters Get document delimiters, using image transformations.
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Segment document Segments document image into header, body and footer, using delimiters. Only the body is always guaranteed to have a value.
Bash commands:
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binarize : binarize document image.
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rotate_document : rotate document image.
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split_columns : split document into column images.
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d_auto_crop : auto crop document image.
Project details
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Hashes for document_image_utils-0.1.19-py3-none-any.whl
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