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Publication search results
found 127 matches
- 2024
- Lisa Koopmans, Maruf A. Dhali, Lambert Schomaker:
Performance Analysis of Handwritten Text Augmentation on Style-Based Dating of Historical Documents. SN Comput. Sci. 5(4): 397 (2024) - Sayaka Mori, Tetsuya Suzuki:
Experimental Application of Semantic Segmentation Models Fine-Tuned with Synthesized Document Images to Text Line Segmentation in a Handwritten Japanese Historical Document. ICPRAM 2024: 826-832 - 2023
- Fitehalew Ashagrie Demilew, Yaregal Tadesse Tessema, Gezahegn Mulusew Delele, Habtamu Asmare Sendeku:
Historical Ethiopic handwritten document recognition using deep learning. Int. J. Inf. Technol. Commun. Convergence 4(2): 124-140 (2023) - Giuseppe De Gregorio, Angelo Marcelli:
Estimating the Optimal Training Set Size of Keyword Spotting for Historical Handwritten Document Transcription. IGS 2023: 165-177 - Alessio Fagioli, Danilo Avola, Luigi Cinque, Emanuela Colombi, Gian Luca Foresti:
Writer Identification in Historical Handwritten Documents: A Latin Dataset and a Benchmark. ICIAP Workshops (2) 2023: 465-476 - Sana Khamekhem Jemni, Sourour Ammar, Mohamed Ali Souibgui, Yousri Kessentini, Abbas Cheddad:
ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical Handwritten Documents. CoRR abs/2303.03127 (2023) - 2022
- Silvia Cascianelli, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Boosting modern and historical handwritten text recognition with deformable convolutions. Int. J. Document Anal. Recognit. 25(3): 207-217 (2022) - Giuseppe De Gregorio, Angelo Marcelli:
Word Spotting in Handwritten Historical Documents by N-gram Retrieval. AI4CH@AI*IA 2022: 102-112 - José Andrés, José Ramón Prieto, Emilio Granell, Verónica Romero, Joan-Andreu Sánchez, Enrique Vidal:
Information Extraction from Handwritten Tables in Historical Documents. DAS 2022: 184-198 - Claire Bizon Monroc, Blanche Miret, Marie-Laurence Bonhomme, Christopher Kermorvant:
A Comprehensive Study of Open-Source Libraries for Named Entity Recognition on Handwritten Historical Documents. DAS 2022: 429-444 - Giuseppe De Gregorio, Ilaria Citro, Angelo Marcelli:
Transcript Alignment for Historical Handwritten Documents: The MiM Algorithm. IGS 2022: 45-60 - Seanghort Born, Dona Valy, Phutphalla Kong:
Encoder-Decoder Language Model for Khmer Handwritten Text Recognition in Historical Documents. SKIMA 2022: 234-238 - 2021
- David Aldavert:
Efficient and Scalable Handwritten Word Spotting on Historical Documents using Bag of Visual Words. Autonomous University of Barcelona, Spain, 2021 - José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos:
Boosting Offline Handwritten Text Recognition in Historical Documents With Few Labeled Lines. IEEE Access 9: 76674-76688 (2021) - Hanadi Hassen, Nandhini Subramanian, Somaya Al-Madeed:
Learning-free handwritten word spotting method for historical handwritten documents. IET Image Process. 15(10): 2332-2341 (2021) - Solène Tarride, Aurélie Lemaitre, Bertrand Coüasnon, Sophie Tardivel:
Combination of deep neural networks and logical rules for record segmentation in historical handwritten registers using few examples. Int. J. Document Anal. Recognit. 24(1): 77-96 (2021) - Lazaros T. Tsochatzidis, Symeon Symeonidis, Alexandros Papazoglou, Ioannis Pratikakis:
HTR for Greek Historical Handwritten Documents. J. Imaging 7(12): 260 (2021) - Dhivya S., Usha Devi Gandhi:
Study on Automated Approach to Recognize Characters for Handwritten and Historical Document. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(3): 37:1-37:24 (2021) - Vuong M. Ngo, Gary Munnelly, Fabrizio Orlandi, Peter Crooks, Declan O'Sullivan, Owen Conlan:
A Semantic Search Engine for Historical Handwritten Document Images. TPDL 2021: 60-65 - Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold:
Generating Synthetic Handwritten Historical Documents with OCR Constrained GANs. ICDAR (3) 2021: 610-625 - Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold:
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs. CoRR abs/2103.08236 (2021) - 2020
- Angelo Marcelli, Giuseppe De Gregorio, Adolfo Santoro:
A Model for Evaluating the Performance of a Multiple Keywords Spotting System for the Transcription of Historical Handwritten Documents. J. Imaging 6(11): 117 (2020) - Sugata Das, Sekhar Mandal:
Segmentation-free word spotting in historical Bangla handwritten document using Wave Kernel Signature. Pattern Anal. Appl. 23(2): 593-610 (2020) - Adolfo Santoro, Angelo Marcelli:
Using keyword spotting systems as tools for the transcription of historical handwritten documents: Models and procedures for performance evaluation. Pattern Recognit. Lett. 131: 329-335 (2020) - Michael Stauffer, Andreas Fischer, Kaspar Riesen:
Filters for graph-based keyword spotting in historical handwritten documents. Pattern Recognit. Lett. 134: 125-134 (2020) - Constantin Lehenmeier, Manuel Burghardt, Bernadette Mischka:
Layout Detection and Table Recognition - Recent Challenges in Digitizing Historical Documents and Handwritten Tabular Data. TPDL 2020: 229-242 - Michel Chammas, Abdallah Makhoul, Jacques Demerjian:
Writer identification for historical handwritten documents using a single feature extraction method. ICMLA 2020: 1-6 - José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos:
Boosting offline handwritten text recognition in historical documents with few labeled lines. CoRR abs/2012.02544 (2020) - 2019
- Joan-Andreu Sánchez, Verónica Romero, Alejandro H. Toselli, Mauricio Villegas, Enrique Vidal:
A set of benchmarks for Handwritten Text Recognition on historical documents. Pattern Recognit. 94: 122-134 (2019) - Juan Ignacio Toledo, Manuel Carbonell, Alicia Fornés, Josep Lladós:
Information extraction from historical handwritten document images with a context-aware neural model. Pattern Recognit. 86: 27-36 (2019)
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