Publications

LSTM

2016

• (kraken) Important New Developments in Arabographic Optical Character Recognition (OCR) (2016)
  Maxim Romanov, Matthew Thomas Miller, Sarah Bowen Savant, Benjamin Kiessling
• OCR of historical printings with an application to building diachronic corpora: A case study using the RIDGES herbal corpus (2016)
  Uwe Springmann, Anke Lüdeling
• Automatic quality evaluation and (semi-) automatic improvement of mixed models for OCR on historical documents (2016)
  Uwe Springmann, Florian Fink, Klaus U. Schulz
• Generic Text Recognition using Long Short-Term Memory Networks (2016)
  Adnan Ul-Hasan – Ph.D Thesis
• OCRoRACT: A Sequence Learning OCR System Trained on Isolated Characters (2016)
  Andreas Dengel, Adnan Ul-Hasan, Syed Saqib Bukhari

2015

• Benchmarking of LSTM Networks (2015)
  Thomas M. Breuel
• Recognition of Historical Greek Polytonic Scripts Using LSTM (2015)
  Fotini Simistira, Adnan Ul-Hassan, Vassilis Papavassiliou, Basilis Gatos, Vassilis Katsouros, Marcus Liwicki
• A Segmentation-Free Approach for Printed Devanagari Script Recognition (2015)
  Tushar Karayil, Adnan Ul-Hasan, Thomas M. Breuel
• A Sequence Learning Approach for Multiple Script Identification (2015)
  Adnan Ul-Hasan, Muhammad Zeshan Afzal, Faisal Shfait, Marcus Liwicki, Thomas M. Breuel

2014

• [ OCR of historical printings of Latin texts: Problems, Prospects, Progress.] (http://www.springmann.net/papers/2014-04-07-DATeCH2014-springmann.pdf) (2014)
  Uwe Springmann, Dietmar Najock, Hermann Morgenroth, Helmut Schmid, Annette Gotscharek, and Florian Fink

2013

• High Performance OCR for Printed English and Fraktur using LSTM Networks (2013)
  Thomas M. Breuel, Adnan Ul-Hasan, Mayce Al Azawi. Faisal Shafait
• Can we build language-independent OCR using LSTM networks? (2013)
  Adnan Ul-Hasan, Thomas M. Breuel
• Offline Printed Urdu Nastaleeq Script Recognition with Bidirectional LSTM Networks (2013)
  Adnan Ul-Hasan, Saad Bin Ahmed, Sheikh Faisal Rashid, Faisal Shafait, Thomas M. Breuel
• ICDAR 2013 LSTM Tutorial - Building Fast High-Performance Recognition Systems with Recurrent Neural Networks and LSTM
  Thomas Breuel, Volkmar Frinken, Marcus Liwicki

Binarization

A paper describing the algorithm used in 'ocropus-nlbin':

• Robust Binarization of Stereo and Monocular Document Images Using Percentile Filter (2013)
  Muhammad Zeshan Afzal, Martin Krämer, Syed Saqib Bukhari, Mohammad Reza Yousefi, Faisal Shafait, Thomas M. Breuel

##Version 0.6

This old version used a different OCR engine than the current LSTM-based version.

• Local Logistic Classifiers for Large Scale Learning (2012)
  Mohammad Reza Yousefi, Thomas M. Breuel