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01_​Tess4J

Integration: Tess4J

This workflow shows an example of Optical Character Recognition (OCR) using Tess4J.

General InformationPress the green double arrow above to run the complete workflow. You may have to scroll down to see all contents of this tutorial. Workflow Description:This workflow shows an example of Optical Character Recognition (OCR) using Tess4J. This technique takes images containing texts as input and tries to recognize the contained characters so the text can be edited and saved. The example images contain one good and one bad example. The bad example suffers from low resolution so the OCR algorithm is not able to recognize the characters correctly. Hint: You may want to increase your heap space as this processing flow needs a lot of memory. see: http://tech.knime.org/faq#q4_2 for details If you need more information about other topics, browse our tutorials. For details see:http://tech.knime.org/community/image-processingIf you have any questions please contact us via our forum:http://tech.knime.org/forum/knime-image-processing/ Workflow Requirements:KNIME 3.1.2 KNIME Image Processing 1.4.2 KNIME Image Processing - Tess4J Integration 1.2.1 Workflow updated on 06/07/2016
Image to HTML Converter
Apply OCR
Tess4J
Output View
Image Viewer
Table View (JavaScript)
Image Normalizer
Read example images containing small texts.
Image Reader
Table View

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: David Kolb
Created at: 2015-07-13
On NodePit since: 2025-07-03
Last update: 2026-11-10
Created with KNIME version: v5.4.0
Tags: image processing

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