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Tag: ocr

Workflow Fraunhofer IAIS mydec (4)

This workflow is provided by the Succeed EU project. For more information about Succeed, please visit For more information about mydec, please visit

Created: 2013-06-04 | Last updated: 2014-02-07

Credits: User cneudecker


Workflow Chemical structure extractor - img2structure (1)

Extracts images of chemical structures from PDFs and converts them to usable structure data using the OSRA binaries.An in-progress (incomplete) workflow.This workflow makes use of the External Tool node to access the OSRA structure recognition binaries.So you must have a functioning installation of OSRA and it's dependencies. This may require advanced compiler knowledge on your platform, and may not be a trivial task.OSRA 1.4 is free for both the source & binary distribution. OSRA 2.0...

Created: 2013-05-14 | Last updated: 2013-05-14

Credits: User sauberns

Attributions: Workflow Chemical term extractor - text2structure

Workflow Ocrad 0.19 Basic Workflow (1)

Elementary OCR workflow for execution on the on-line DAE platform. Implement v0.19 of the ocrad OCR engine. (requires an PGM or PMB input image URL) 

Created: 2012-10-16 | Last updated: 2012-10-16

Credits: User Bart Lamiroy

Workflow Tesseract 2.04 Basic Workflow (1)

 Elementary workflow for execution on the on-line DAE platform. (requires an uncompressed tiff image URL as input or will fail otherwise)

Created: 2012-10-16

Credits: User Bart Lamiroy


Workflow A heuristic measure for detecting undesire... (2)

The workflow takes TIFF image instances as input, applies a list of JP2 compression parameter values, executes OCR using an open source OCR engine, evaluates the results, and creates a diagram visualising the results. Dependencies on external tools for the tool service components: Tesseract ImageMagick Kakadu Gnuplot Dependencies on external Java libraries of beanshells: Apache commons lang

Created: 2012-02-06 | Last updated: 2012-03-09

Credits: User Sven

Workflow Sample IMPACT hackathon workflow (1)

Workflow that implements the Use Case for Group 2 at the IMPACT/Taverna hackathon. What it does is to take the URL of a TIFF image and compute the Levenshtein difference between the OCR output of the uncompressed version with various ones compressed at various bit rates.

Created: 2011-11-14 | Last updated: 2012-06-19

Credits: User Donal Fellows

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