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Mathematical Optimization Group & PLANET intelligent systems GmbH

Computational Intelligence Technology Laboratory

Machine Learning Algorithms for Document and Text Recognition

Pole position again: Two first ranks at ICDAR 2015 competitions

At ICDAR 2015 – this year's leading document analysis & recognition event – the CITlab-PLANET project team participated in two competitions ... and again ... very successful!

  • First Rank at HTRtS-2015: Handwritten Text Recognition on the tranScriptorium Dataset (Restricted Track)
  • First Rank at KWS-2015: Keyword Spotting for Handwritten Documents (Training-based Track)

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According to today's confirmation, we are now looking forward to finally setting up the HORIZON-2020 project READ (Recognition & Enrichment of Archival Documents) ... with CITlab-PLANET's essential ARGUS software for text recognition in historical documents!

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Five first ranks at the ANWRESH-2014 Contest

certificate

The CITlab–PLANET project team received 1. ranks in all of the five ANWRESH 2014 (with ICFHR 2014) evaluations on Word Recognition from Segmented Historical Documents.

» Official Evaluation Results

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Rank 1 at the HTRtS-2014 Contest

certificate

We achieved the First Rank in the restricted scheme of the 2014 HTRtS contest (with ICFHR 2014), a document recognition evaluation for Handwriting Text Recognition in a transScriptorium Dataset.

» Official Evaluation Results (see Results section)

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05. Juli 2014, 11:00 Uhr: Wie kann ein Computer Handschriften lesen?   »   mehr ...

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In Spring 2014, CITlab received two new project fundings for our ongoing work in CI-based recognition technology.

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Rank 3 at OpenHaRT 2013 Contest

We achieved Rank 3 in the constrained DIR task of the 2013 NIST Open Handwriting Recognition and Translation Evaluation (with ICDAR 2013), a document recognition evaluation for handwritten transcriptions of arabic news.

» Official Evaluation Results

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Zusatzinformationen

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