Martin Jenckel

PhD thesis, 2022

2019

Unsupervised OCR Model Evaluation Using GAN.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Table Localization and Segmentation using GAN and CNN.

[BibT_eX]

[DOI]

Proceedings of the Second International Workshop on Machine Learning, 2019

Analysis of Unsupervised Training Approaches for LSTM-Based OCR.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Feedback Learning: Automating the Process of Correcting and Completing the Extracted Information.

[BibT_eX]

[DOI]

Khurram Azeem Hashmi

Rakshith Bymana Ponnappa

Proceedings of the Second International Workshop on Machine Learning, 2019

Cursive Script Textline Image Transformation for Improving OCR Accuracy.

[BibT_eX]

[DOI]

Proceedings of the Second International Workshop on Machine Learning, 2019

Using Balanced Training to Minimize Biased Classification.

[BibT_eX]

[DOI]

Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, 2019

2018

Impact of Training LSTM-RNN with Fuzzy Ground Truth.

[BibT_eX]

[DOI]

Sourabh Sarvotham Parkala

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Transcription Free LSTM OCR Model Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

2017

Training LSTM-RNN with Imperfect Transcription: Limitations and Outcomes.

[BibT_eX]

[DOI]

Proceedings of the 4th International Workshop on Historical Document Imaging and Processing, 2017

2016

anyOCR: A sequence learning based OCR system for unlabeled historical documents.

[BibT_eX]

[DOI]