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Workflow Guide clipping
In this processing step, intrusions of neighbouring non-text (e.g. separator) or text segments (e.g. ascenders/descenders) into text regions of a page (or text lines or a text region) can be removed. A connected component analysis is run on every segment, as well as its overlapping neighbours. Now for each conflicting binary object, a rule based on majority and proper containment determines whether it belongs to the neighbour, and can therefore be clipped to the background.
This basic text-nontext segmentation ensures that for each text region there is a clean image without interference from separators and neighbouring texts. (On the region level, cleaning via coordinates would be impossible in many common cases.) On the line level, this can be seen as an alternative to resegmentation.
Note: Clipping must be applied before any processor that produces derived images for the same hierarchy level (region/line). Annotations on the next higher level (page/region) are fine of course.
>Processor | Parameter | Remarks | Call |
---|---|---|---|
ocrd-cis-ocropy-clip | -P level-of-operation region |
ocrd-cis-ocropy-clip -I OCR-D-DESKEW-REG -O OCR-D-CLIP-REG -P level-of-operation region |
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- Comparison of OCR formats (outdated)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