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Mayce Ibrahim Ali Al Azawi
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2010 – 2019
- 2015
- [b1]Mayce Ibrahim Ali Al Azawi:
Statistical Language Modeling for Historical Documents using Weighted Finite-State Transducers and Long Short-Term Memory. University of Kaiserslautern, 2015 - [c7]Mayce Ibrahim Ali Al Azawi, Marcus Liwicki, Thomas M. Breuel:
Combination of multiple aligned recognition outputs using WFST and LSTM. ICDAR 2015: 31-35 - 2014
- [c6]Mayce Ibrahim Ali Al Azawi, Thomas M. Breuel:
Context-Dependent Confusions Rules for Building Error Model Using Weighted Finite State Transducers for OCR Post-Processing. Document Analysis Systems 2014: 116-120 - [c5]Mayce Ibrahim Ali Al Azawi, Adnan Ul-Hasan, Marcus Liwicki, Thomas M. Breuel:
Character-Level Alignment Using WFST and LSTM for Post-processing in Multi-script Recognition Systems - A Comparative Study. ICIAR (1) 2014: 379-386 - 2013
- [c4]Mayce Ibrahim Ali Al Azawi, Marcus Liwicki, Thomas M. Breuel:
WFST-based ground truth alignment for difficult historical documents with text modification and layout variations. DRR 2013: 865818 - [c3]Mayce Ibrahim Ali Al Azawi, Muhammad Zeshan Afzal, Thomas M. Breuel:
Normalizing historical orthography for OCR historical documents using LSTM. HIP@ICDAR 2013: 80-85 - [c2]Thomas M. Breuel, Adnan Ul-Hasan, Mayce Ibrahim Ali Al Azawi, Faisal Shafait:
High-Performance OCR for Printed English and Fraktur Using LSTM Networks. ICDAR 2013: 683-687 - 2010
- [c1]Syed Saqib Bukhari, Mayce Ibrahim Ali Al Azawi, Faisal Shafait, Thomas M. Breuel:
Document image segmentation using discriminative learning over connected components. Document Analysis Systems 2010: 183-190
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