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Books and Theses
- 2022
[b1]Martin Jenckel:
Sequence Learning for OCR in Unsupervised Training Cases. Kaiserslautern University of Technology, Germany, 2022
Conference and Workshop Papers
- 2019
- [c10]Redy Andriyansah
, Syed Saqib Bukhari, Martin Jenckel, Andreas Dengel:
Using Balanced Training to Minimize Biased Classification. HIP@ICDAR 2019: 31-36 - [c9]Eman Eman, Syed Saqib Bukhari, Martin Jenckel, Andreas Dengel:
Cursive Script Textline Image Transformation for Improving OCR Accuracy. WML@ICDAR 2019: 59-64 - [c8]Khurram Azeem Hashmi, Rakshith Bymana Ponnappa, Syed Saqib Bukhari, Martin Jenckel, Andreas Dengel:
Feedback Learning: Automating the Process of Correcting and Completing the Extracted Information. WML@ICDAR 2019: 116-121 - [c7]Mohammad Mohsin Reza, Syed Saqib Bukhari, Martin Jenckel, Andreas Dengel:
Table Localization and Segmentation using GAN and CNN. WML@ICDAR 2019: 152-157 - [c6]Martin Jenckel, Syed Saqib Bukhari, Andreas Dengel:
Analysis of Unsupervised Training Approaches for LSTM-Based OCR. ICDAR 2019: 1250-1255 - [c5]Abhash Sinha, Martin Jenckel, Syed Saqib Bukhari, Andreas Dengel:
Unsupervised OCR Model Evaluation Using GAN. ICDAR 2019: 1256-1261 - 2018
- [c4]Martin Jenckel, Syed Saqib Bukhari, Andreas Dengel:
Transcription Free LSTM OCR Model Evaluation. ICFHR 2018: 122-126 - [c3]Martin Jenckel, Sourabh Sarvotham Parkala, Syed Saqib Bukhari, Andreas Dengel:
Impact of Training LSTM-RNN with Fuzzy Ground Truth. ICPRAM 2018: 388-393 - 2017
- [c2]Martin Jenckel, Syed Saqib Bukhari, Andreas Dengel:
Training LSTM-RNN with Imperfect Transcription: Limitations and Outcomes. HIP@ICDAR 2017: 48-53 - 2016
- [c1]Martin Jenckel, Syed Saqib Bukhari, Andreas Dengel:
anyOCR: A sequence learning based OCR system for unlabeled historical documents. ICPR 2016: 4035-4040
Coauthor Index
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