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Workflow Guide preprocessing
Optionally, you can start off your workflow by enhancing your images, which can be vital for the following binarization. In this processing step, the raw image is taken and enhanced by e.g. grayscale conversion, brightness normalization, noise filtering, etc.
Note: ocrd-preprocess-image
can be used to run arbitrary shell commands for preprocessing (original or derived) images, and can be seen as a generic OCR-D wrapper for many of the following workflow steps, provided a matching external tool exists. (The only restriction is that the tool must not change image size or the position/coordinates of its content.)
Processor | Parameter | Remark | Call |
---|---|---|---|
ocrd-im6convert | -P output-format image/tiff |
for output-options see IM Documentation
|
ocrd-im6convert -I OCR-D-IMG -O OCR-D-ENH -P output-format image/tiff |
ocrd-preprocess-image |
-P input_feature_filter binarized -P output_feature_added binarized -P command "scribo-cli sauvola-ms-split '@INFILE' '@OUTFILE' --enable-negate-output"
|
for parameters and command examples (presets) see the Readme |
ocrd-preprocess-image -I OCR-D-IMG -O OCR-D-PREP -P output_feature_added binarized -P command "scribo-cli sauvola-ms-split @INFILE @OUTFILE --enable-negate-output"
|
ocrd-skimage-normalize | ocrd-skimage-normalize -I OCR-D-IMG -O OCR-D-NORM |
||
ocrd-skimage-denoise-raw |
ocrd-skimage-denoise-raw -I OCR-D-IMG -O OCR-D-DENOISE
|
E.g.
- which parameters do you use with what values?
- which parameters are insufficiently documented?
- which aspects of a processor should be parameterizable but are not?
E.g. which processors worked best with what material? -- feel free to post sample images here, too.
Welcome to the OCR-D wiki, a companion to the OCR-D website.
Articles and tutorials
- Running OCR-D on macOS
- Running OCR-D in Windows 10 with Windows Subsystem for Linux
- Running OCR-D on POWER8 (IBM pSeries)
- Running browse-ocrd in a Docker container
- OCR-D Installation on NVIDIA Jetson Nano and Xavier
- Mapping PAGE to ALTO
- Comparison of OCR formats (outdated)
- A Practicioner's View on Binarization
- How to use the bulk-add command to generate workspaces from existing files
- Evaluation of (intermediary) steps of an OCR workflow
- A quickstart guide to ocrd workspace
- Introduction to parameters in OCR-D
- Introduction to OCR-D processors
- Introduction to OCR-D workflows
- Visualizing (intermediate) OCR-D-results
- Guide to updating ocrd workspace calls for 2.15.0+
- Introduction to Docker in OCR-D
- How to import Abbyy-generated ALTO
- How to create ALTO for DFG Viewer
- How to create searchable fulltext data for DFG Viewer
- Setup native CUDA Toolkit for Qurator tools on Ubuntu 18.04
- OCR-D Code Review Guidelines
- OCR-D Recommendations for Using CI in Your Repository
Expert section on OCR-D- workflows
Particular workflow steps
Workflow Guide
- Workflow Guide: preprocessing
- Workflow Guide: binarization
- Workflow Guide: cropping
- Workflow Guide: denoising
- Workflow Guide: deskewing
- Workflow Guide: dewarping
- Workflow Guide: region-segmentation
- Workflow Guide: clipping
- Workflow Guide: line-segmentation
- Workflow Guide: resegmentation
- Workflow Guide: olr-evaluation
- Workflow Guide: text-recognition
- Workflow Guide: text-alignment
- Workflow Guide: post-correction
- Workflow Guide: ocr-evaluation
- Workflow Guide: adaptation-of-coordinates
- Workflow Guide: format-conversion
- Workflow Guide: generic transformations
- Workflow Guide: dummy processing
- Workflow Guide: archiving
- Workflow Guide: recommended workflows