Skip to main content

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

  • 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).

  • 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.

  • Binarize document

    Normal binarization with otsu tresholding and fastNlMeansDenoising.

    Fax binarization, following the image magick command: convert "image" -colorspace Gray ( +clone -blur 15,15 ) -compose Divide_Src -composite -level 10%,90%,0.2

  • Split document into columns

    Analyzes document image pixel color frequency and split document image into columns.

  • Auto crop document

    Analyzes document image pixel color frequency and cut document margins, aiming mostly to remove possible folds in the corners.

  • Identify document images Identify document images in image, using algorithm available in leptonica's repository that finds potential image masks.

  • Get document delimiters Get document delimiters, using image transformations.

  • Segment document Segments document image into header, body and footer, using delimiters. Only the body is always guaranteed to have a value.

Bash commands:

  • binarize : binarize document image.

  • rotate_document : rotate document image.

  • split_columns : split document into column images.

  • d_auto_crop : auto crop document image.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

document_image_utils-0.1.24.3.tar.gz (32.0 kB view details)

Uploaded Source

Built Distribution

document_image_utils-0.1.24.3-py3-none-any.whl (36.9 kB view details)

Uploaded Python 3

File details

Details for the file document_image_utils-0.1.24.3.tar.gz.

File metadata

  • Download URL: document_image_utils-0.1.24.3.tar.gz
  • Upload date:
  • Size: 32.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/5.10.16.3-microsoft-standard-WSL2

File hashes

Hashes for document_image_utils-0.1.24.3.tar.gz
Algorithm Hash digest
SHA256 2c3510a866472744dc7a77783b71ada745e2fdf4c11c8ac252c11d7f1026c6c6
MD5 385b720ade1161c969ea106d2cf53ec0
BLAKE2b-256 f81bcf522d0ae2b6076b82987c562cab1689dd6c8f67df73fb23b363e58fb458

See more details on using hashes here.

File details

Details for the file document_image_utils-0.1.24.3-py3-none-any.whl.

File metadata

File hashes

Hashes for document_image_utils-0.1.24.3-py3-none-any.whl
Algorithm Hash digest
SHA256 9a05be50a50be9b83f141e8eca613e3d2316499e8b947a8b19703cff57e818b7
MD5 e954e46a61e5622031ff8bd1ad4ee37c
BLAKE2b-256 700cb8d0b92e5432a64b485f3913139238e53d2e40818b354cf8db1be9dc3506

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page