Publications
Journal Articles
A. Garz, M. Seuret, A. Fischer, and R. Ingold A User-Centered Segmentation Method for Complex Historical Manuscripts Based on Document Graphs, IEEE Transactions on Human-Machine Systems, 2017. DOI: 10.1109/THMS.2016.2634920
M. Würsch, R. Ingold, and M. Liwicki. DIVAServices – A RESTful web service for Document Image Analysis methods, Digital Scholarship in the Humanities, 2016. DOI: 10.1093/llc/fqw051, Abstract, PDF
A. Garz, N. Eichenberger, M. Liwicki, and R. Ingold. HisDoc 2.0: Toward Computer-Assisted Paleography, Manuscript Cultures, vol. 7, pp. 19–28, 2015. PDF
N. Eichenberger, A. Garz, K. Chen, H. Wei, R. Ingold, and M. Liwicki. DIVADesk – A Holistic Digital Workspace for Analyzing Historical Document Images, Manuscript Cultures, vol. 7, pp. 69–82, 2015. PDF
Conference Papers, peer-reviewed
2016
F. Simistira, M. Seuret, N. Eichenberger, A. Garz, M. Liwicki, and R. Ingold. DIVA-HisDB: A Precisely Annotated Large Dataset of Challenging Medieval Manuscripts, International Conference on Frontiers in Handwriting Recognition (ICFHR2016), pp. 471-476, 2016. DOI: 10.1109/ICFHR.2016.0093, PDF
M. Würsch, M. Bärtschi, R. Ingolf, and M. Liwicki, DIVAServices-Spotlight – Experimenting with Document Image Analysis Methods in the Web, Digital Humanities, Krakow, 2016.
A. Garz, M. Seuret, F. Simistira, A. Fischer, R. Ingold. Creating Ground Truth for Historical Manuscripts with Document Graphs and Scribbling Interaction, International Workshop on Document Analysis Systems (DAS2016), p. 126-131, 2016. DOI: 10.1109/DAS.2016.29, PDF
M. Würsch, R. Ingold, M. Liwicki, SDK Reinvented: Document Image Analysis Methods as RESTful Web Services, International Workshop on Document Analysis Systems (DAS2016), p. 90-95, 2016. DOI: 10.1109/DAS.2016.56
A. Garz, M. Seuret, A. Fischer, R. Ingold. GraphManuscribble: Interact Intuitively with Digital Facsimiles, Second International Conference on Natural Sciences and Technology in Manuscript Analysis, p. 61-63, 2016. PDF
V. Katsouros, V. Papavassiliou, F. Simistira, B. Gatos, Recognition of Greek Polytonic on Historical Degraded Texts using HMMs, International Workshop on Document Analysis Systems (DAS2016), 2016. DOI: 10.1109/DAS.2016.60
A. Garz, M. Würsch, A. Fischer, R. Ingold. Simple and Fast Geometrical Descriptors for Writer Identification, Document Recognition and Retrieval (DRR2016), p. 1-12, 2016. DOI: 10.2352/ISSN.2470-1173.2016.17.DRR-055, PDF
2015
M. Seuret, A. Fischer, A. Garz, M. Liwicki, R. Ingold. Clustering Historical Documents Based on the Reconstruction Error of Autoencoders, International Workshop on Historical Document Image and Processing (HIP2015), p. 85-90, 2015. DOI: 10.1145/2809544.2809558, PDF
J. Pastor-Pellicier, A. Garz, R. Ingold, M. J. Castro-Bleda. Combining Learned Script Points and Combinatorial Optimization for Text Line Extraction, International Workshop on Historical Document Image and Processing (HIP2015), p. 71–78, 2015. DOI: 10.1145/2809544.2809553, PDF
A. Garz, M. Würsch, R. Ingold. Training- and Segmentation-Free Intuitive Writer Identification with Task-Adapted Interest Points, 17th Conference of the International Graphonomics Society (IGS2015), p. 103-106, 2015. PDF (updated version)
M. Seuret, K. Chen, N. Eichenberger, M. Liwicki, R. Ingold, Gradient-Domain Degradations for Improving Historical Documents Images Layout Analysis, 13th International Conference on Document Analysis and Recognition: IEEE, pp. 1006–1010, 2015. DOI: 10.1109/ICDAR.2015.7333913
K. Chen, M. Seuret, M. Liwicki, J. Hennebert, R. Ingold, Page Segmentation of Historical Document Images with Convolutional Autoencoders, 13th International Conference on Document Analysis and Recognition: IEEE, pp. 1101––1105, 2015. DOI: 10.1109/ICDAR.2015.7333914
F. Simistira, A. Ul-hassan, V. Papavassiliou, B. Gatos, V. Katsouros, M. Liwicki, Recognition of Historical Greek Polytonic Scripts Using LSTM Networks, 13th International Conference on Document Analysis and Recognition: IEEE, pp. 766–770, 2015. DOI: 10.1109/ICDAR.2015.7333865
H. Wei, M. Seuret, K. Chen, A. Fischer, M. Liwicki, R. Ingold, X. Zhong, Selecting Autoencoder Features for Layout Analysis of Historical Documents, 3rd International Workshop on Historical Document Imaging and Processing (HIP 2015), Nancy, France, 2015. DOI: 10.1145/2809544.2809548
H. Wei, K. Chen, M. Seuret, M. Würsch, M. Liwicki, R. Ingold, DIVADIAWI - A Web-based Interface for Semi-automatic Labeling of Historical Document Images, Digital Humanities 2015, Sydney, Australia, 2015.
M. Würsch, R. Ingold, and M. Liwicki, DIVAServices – A RESTful Web Service for Document Image Analysis Methods, Digital Humanities 2015, Sydney, Australia, 2015.
K. Chen, M. Seuret, H. Wei, M. Liwicki, J. Hennebert, and R. Ingold, Ground truth model, tool, and dataset for layout analysis of historical documents, Proc. SPIE 9402, Document Recognition and Retrieval XXII, 2015. DOI: 10.1117/12.2075858
2014
A. Fischer, M. Baechler, A. Garz, M. Liwicki, R. Ingold. A Combined System for Text Line Extraction and Handwriting Recognition in Historical Documents, 11th IAPR International Workshop on Document Analysis Systems (DAS), p. 71-75, 2014. DOI: 10.1109/DAS.2014.51
2013
A. Garz, A. Fischer, H. Bunke, R. Ingold. A Binarization-Free Clustering Approach to Segment Curved Text Lines in Historical Manuscripts, International Conference on Document Analysis and Recognition, p. 1290–1294, 2013.
DOI: 10.1109/ICDAR.2013.261
2012
A. Garz, A. Fischer, R. Sablatnig, and H. Bunke. Binarization-free text line segmentation for historical documents based on interest point clustering. In Proc. 10th Int. Workshop on Document Analysis Systems, pp. 95–99, 2012.
DOI: 10.1109/DAS.2012.23