This repo is for developing a Docstrum algorithm presented by O’Gorman (1993).

This source code is built on top of the work by Chadoliver. Please find the original code from here (https://github.com/chadoliver/cosc428-structor).

This project aims at segmenting a document image into meaningful components. The domain of image is specified on historical machine-printed/hand-written document image.

• python 2.7
• Packages:
  • numpy
  • cv2

• Pre-processing Optional for vertical-line removal
  • Blurring Bilateral Filtering
  • Otsu's thresholding
  • Morphological erosion & dilation
  • Smoothing (Averaging)
  • Static thresholding
• Nearest-Neighbor Clustering and Docstrum Plot
• Spacing and Orientation Estimation
• Determination of Text-lines
• Structural Block Determination
• Post-processing
  • TBD

• TBD

O'Gorman, L., 1993. The document spectrum for page layout analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(11), pp.1162-1173. pdf.

@article{o1993document,
  title={The document spectrum for page layout analysis},
  author={O'Gorman, Lawrence},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={15},
  number={11},
  pages={1162--1173},
  year={1993},
  publisher={IEEE}
}

find . -name '.DS_Store' -type f -delete