25.2.8.5 Historical Document Analysis, Ancient Documents

Chapter Contents (Back)
Historical Documents. Ancient Documents. Cultural Heritage. Restoration.

Saykol, E., Sinop, A.K., Gudukbay, U., Ulusoy, O., Cetin, A.E.,
Content-Based Retrieval of Historical Ottoman Documents Stored as Textual Images,
IP(13), No. 3, March 2004, pp. 314-325.
IEEE DOI 0404
BibRef

Chen, Y.[Yan], Leedham, G.,
Decompose algorithm for thresholding degraded historical document images,
VISP(152), No. 6, December 2005, pp. 702-714.
DOI Link 0512
BibRef
Earlier:
The multistage approach to information extraction in degraded document images,
ICPR04(I: 445-448).
IEEE DOI 0409
BibRef

Fataicha, Y., Cheriet, M., Nie, J.Y., Suen, C.Y.,
Retrieving poorly degraded OCR documents,
IJDAR(8), No. 1, April 2006, pp. 1-10.
Springer DOI 0605
BibRef

Moghaddam, R.F.[Reza Farrahi], Cheriet, M.[Mohamed],
Low quality document image modeling and enhancement,
IJDAR(11), No. 4, March 2009, pp. xx-yy.
Springer DOI 0903
BibRef
Earlier: A2, A1:
DIAR: Advances in Degradation Modeling and Processing,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Moghaddam, R.F.[Reza Farrahi], Cheriet, M.[Mohamed],
A multi-scale framework for adaptive binarization of degraded document images,
PR(43), No. 6, June 2010, pp. 2186-2198.
Elsevier DOI 1003
Document image processing; Binarization; Adaptive methods; Multi-scale framework
See also Application of Multi-Level Classifiers and Clustering for Automatic Word Spotting in Historical Document Images. BibRef

Hedjam, R.[Rachid], Cheriet, M.[Mohamed],
Novel Data Representation for Text Extraction from Multispectral Historical Document Images,
ICDAR11(172-176).
IEEE DOI 1111
BibRef

Hedjam, R.[Rachid], Moghaddam, R.F.[Reza Farrahi], Cheriet, M.[Mohamed],
Text extraction from degraded document images,
EUVIP10(247-252).
IEEE DOI 1110
BibRef

Moghaddam, R.F.[Reza Farrahi], Cheriet, M.[Mohamed],
Beyond pixels and regions: A non-local patch means (NLPM) method for content-level restoration, enhancement, and reconstruction of degraded document images,
PR(44), No. 2, February 2011, pp. 363-374.
Elsevier DOI 1011
Document understanding; Non-local methods; Document image restoration and reconstruction BibRef

Hedjam, R.[Rachid], Moghaddam, R.F.[Reza Farrahi], Cheriet, M.[Mohamed],
A spatially adaptive statistical method for the binarization of historical manuscripts and degraded document images,
PR(44), No. 9, September 2011, pp. 2184-2196.
Elsevier DOI 1106
BibRef
And: Corrigendum: PR(45), No. 8, August 2012, pp. 3045.
Elsevier DOI 1204
Historical and degraded documents; Document images binarization; Adaptive local document image classification BibRef

Hedjam, R.[Rachid], Cheriet, M.[Mohamed],
Historical document image restoration using multispectral imaging system,
PR(46), No. 8, August 2013, pp. 2297-2312.
Elsevier DOI 1304
BibRef
Earlier:
Segmentation-based document image denoising,
EUVIP10(61-65).
IEEE DOI 1110
Historical document images restoration; Ferro-gallic ink; Multispectral document Imaging; Multispectral image in-painting BibRef

Cheriet, M.[Mohamed], Moghaddam, R.F.[Reza Farrahi], Hedjam, R.[Rachid],
A learning framework for the optimization and automation of document binarization methods,
CVIU(117), No. 3, March 2013, pp. 269-280.
Elsevier DOI 1302
Document image processing; Binarization; Parametric methods; Learning machines; Multi-level maps BibRef

Moghaddam, R.F.[Reza Farrahi], Cheriet, M.[Mohamed],
A Variational Approach to Degraded Document Enhancement,
PAMI(32), No. 8, August 2010, pp. 1347-1361.
IEEE DOI 1007
BibRef

Rivest-Hénault, D.[David], Moghaddam, R.F.[Reza Farrahi], Cheriet, M.[Mohamed],
A local linear level set method for the binarization of degraded historical document images,
IJDAR(15), No. 2, June 2012, pp. 101-124.
WWW Link. 1205
BibRef
Earlier: A2, A1, A3:
Restoration and Segmentation of Highly Degraded Characters Using a Shape-Independent Level Set Approach and Multi-level Classifiers,
ICDAR09(828-832).
IEEE DOI 0907

See also multi-scale framework for adaptive binarization of degraded document images, A. BibRef

Rivest-Hénault, D.[David], Cheriet, M.[Mohamed],
Image Segmentation Using Level Set and Local Linear Approximations,
ICIAR07(234-245).
Springer DOI 0708
BibRef

Moghaddam, R.F.[Reza Farrahi], Rivest-Hénault, D.[David], Bar-Yosef, I.[Itay], Cheriet, M.[Mohamed],
A Unified Framework Based on the Level Set Approach for Segmentation of Unconstrained Double-Sided Document Images Suffering from Bleed-Through,
ICDAR09(441-445).
IEEE DOI 0907
BibRef

Cheriet, M.,
Shock filters for character image enhancement and peeling,
ICDAR03(1247-1251).
IEEE DOI 0311
BibRef

Cheriet, M.[Mohamed], Demers, J.C.[Jean-Christophe], Deblois, S.[Sylvain],
Shock Filter-based Diffusion Fields: Application To Grayscale Character Image Processing,
IJIG(5), No. 2, April 2005, pp. 209-245. 0504
BibRef

Hedjam, R.[Rachid], Moghaddam, R.F.[Reza Farrahi], Cheriet, M.[Mohamed],
Markovian clustering for the non-local means image denoising,
ICIP09(3877-3880).
IEEE DOI 0911
BibRef

Moghaddam, R.F.[Reza Farrahi], Cheriet, M.[Mohamed],
RSLDI: Restoration of single-sided low-quality document images,
PR(42), No. 12, December 2009, pp. 3355-3364.
Elsevier DOI 0909
PDE-based image processing; Classifiers; Degradation modeling; Nonlinear model; Document enhancement and restoration; ICA; Bayes modeling BibRef

Likforman-Sulem, L.[Laurence], Sigelle, M.[Marc],
Recognition of degraded characters using dynamic Bayesian networks,
PR(41), No. 10, October 2008, pp. 3092-3103.
Elsevier DOI 0808
BibRef
Earlier:
Recognition of Broken Characters from Historical Printed Books Using Dynamic Bayesian Networks,
ICDAR07(173-177).
IEEE DOI 0709
Markovian models; Hidden Markov models; Dynamic Bayesian networks; Historical documents; Broken character recognition BibRef

Likforman-Sulem, L.[Laurence], Darbon, J.[Jerome], Barney Smith, E.H.[Elisa H.],
Enhancement of historical printed document images by combining Total Variation regularization and Non-local Means filtering,
IVC(29), No. 5, April 2011, pp. 351-363.
Elsevier DOI 1103
Document image enhancement; Image processing; Variational approach; Non-local Means; Historical documents; Character recognition BibRef

Obafemi-Ajayi, T.[Tayo], Agam, G.[Gady], Frieder, O.[Ophir],
Historical document enhancement using LUT classification,
IJDAR(13), No. 1, March 2010, pp. xx-yy.
Springer DOI 1003
BibRef
Earlier:
Efficient MRF approach to document image enhancement,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Antonacopoulos, A.[Apostolos], Downton, A.C.[Andy C.],
Special issue on the analysis of historical documents,
IJDAR(9), No. 2-4, April 2007, pp. 75-77.
Springer DOI 0704
BibRef

Ramel, J.Y., Leriche, S., Demonet, M.L., Busson, S.,
User-driven page layout analysis of historical printed books,
IJDAR(9), No. 2-4, April 2007, pp. 243-261.
Springer DOI 0704
BibRef

Journet, N.[Nicholas], Ramel, J.Y.[Jean-Yves], Mullot, R.[Rémy], Eglin, V.[Véronique],
Document image characterization using a multiresolution analysis of the texture: application to old documents,
IJDAR(11), No. 1, October 2008, pp. xx-yy.
Springer DOI 0810
BibRef
Earlier:
A Proposition of Retrieval Tools for Historical Document Images Libraries,
ICDAR07(1053-1057).
IEEE DOI 0709
BibRef
Earlier: A1, A3, A4, A2:
Dedicated Texture Based Tools for Characterisation of Old Books,
DIAL06(60-69).
IEEE DOI 0604
BibRef
Earlier: A1, A4, A2, A3:
Text/graphic labelling of ancient printed documents,
ICDAR05(II: 1010-1014).
IEEE DOI 0508
BibRef

Mehri, M., Heroux, P., Gomez-Kramer, P., Boucher, A., Mullot, R.,
A Pixel Labeling Approach for Historical Digitized Books,
ICDAR13(817-821)
IEEE DOI 1312
document image processing BibRef

Kieu, V.C., Visani, M., Journet, N., Domenger, J.P., Mullot, R.,
A character degradation model for grayscale ancient document images,
ICPR12(685-688).
WWW Link. 1302
BibRef

Gotscharek, A.[Annette], Reffle, U.[Ulrich], Ringlstetter, C.[Christoph], Schulz, K.U.[Klaus U.], Neumann, A.[Andreas],
Towards information retrieval on historical document collections: The role of matching procedures and special lexica,
IJDAR(14), No. 2, June 2011, pp. 159-171.
WWW Link. 1106
BibRef

Coustaty, M.[Mickael], Pareti, R.[Rudolf], Vincent, N.[Nicole], Ogier, J.M.[Jean-Marc],
Towards historical document indexing: extraction of drop cap letters,
IJDAR(14), No. 3, September 2011, pp. 243-254.
WWW Link. 1109
BibRef
Earlier: A1, A4, A2, A3:
Drop Caps Decomposition for Indexing a New Letter Extraction Method,
ICDAR09(476-480).
IEEE DOI 0907
BibRef

Coustaty, M.[Mickal], Bouju, A.[Alain], Bertet, K.[Karell], Louis, G.[Georges],
Using Ontologies to Reduce the Semantic Gap between Historians and Image Processing Algorithms,
ICDAR11(156-160).
IEEE DOI 1111
BibRef

Coustaty, M.[Mickael], Ogier, J.M.[Jean-Marc],
Discrimination of Old Document Images Using Their Style,
ICDAR11(389-393).
IEEE DOI 1111
BibRef

Nguyen, T.T.H.[Thi Thuong Huyen], Coustaty, M.[Mickaël], Ogier, J.M.[Jean-Marc],
Bags of Strokes Based Approach for Classification and Indexing of Drop Caps,
ICDAR11(349-353).
IEEE DOI 1111
BibRef

Nguyen, G.[Giap], Coustaty, M.[Mickael], Ogier, J.M.[Jean-Marc],
Stroke feature extraction for lettrine indexing,
IPTA10(355-360).
IEEE DOI 1007
BibRef

Jouili, S.[Salim], Coustaty, M.[Mickael], Tabbone, S.A.[Salvatore A.], Ogier, J.M.[Jean-Marc],
NAVIDOMASS: Structural-based Approaches Towards Handling Historical Documents,
ICPR10(946-949).
IEEE DOI 1008
BibRef

Nikolaou, N.[Nikos], Makridis, M.[Michael], Gatos, B.[Basilis], Stamatopoulos, N.[Nikolaos], Papamarkos, N.[Nikos],
Segmentation of historical machine-printed documents using Adaptive Run Length Smoothing and skeleton segmentation paths,
IVC(28), No. 4, April 2010, pp. 590-604.
Elsevier DOI 1002
Text line segmentation; Word segmentation; Character segmentation; Historical machine-printed documents; Run Length Smoothing Algorithm BibRef

Reffle, U.[Ulrich], Ringlstetter, C.[Christoph],
Unsupervised profiling of OCRed historical documents,
PR(46), No. 5, May 2013, pp. 1346-1357.
Elsevier DOI 1302
Error detection and error correction; Processing of historical documents; OCR postprocessing; Statistical learning BibRef

Ntirogiannis, K., Gatos, B.[Basilis], Pratikakis, I.E.[Ioannis E.],
Performance Evaluation Methodology for Historical Document Image Binarization,
IP(22), No. 2, February 2013, pp. 595-609.
IEEE DOI 1302

See also Performance Evaluation Methodology for Document Image Dewarping Techniques. BibRef

Samko, O.[Oksana], Lai, Y.K.[Yu-Kun], Marshall, A.D.[A. David], Rosin, P.L.[Paul L.],
Virtual unrolling and information recovery from scanned scrolled historical documents,
PR(47), No. 1, 2014, pp. 248-259.
Elsevier DOI 1310
BibRef
Earlier:
Segmentation of Parchment Scrolls for Virtual Unrolling,
BMVC11(xx-yy).
HTML Version. 1110
Parchment restoration BibRef

Liu, C.[Chang], Rosin, P.L.[Paul L.], Lai, Y.K.[Yu-Kun], Hu, W.,
Robust Virtual Unrolling of Historical Parchment XMT Images,
IP(27), No. 4, April 2018, pp. 1914-1926.
IEEE DOI 1802
X-ray microscopy, image segmentation, optimisation, Bressingham scroll, X-ray tomographic slices, blossom algorithm, parchment BibRef

Richarz, J.[Jan], Vajda, S.[Szilard], Grzeszick, R.[Rene], Fink, G.A.[Gernot A.],
Semi-supervised learning for character recognition in historical archive documents,
PR(47), No. 3, 2014, pp. 1011-1020.
Elsevier DOI 1312
BibRef
Earlier: A1, A2, A4, Only:
Annotating Handwritten Characters with Minimal Human Involvement in a Semi-supervised Learning Strategy,
FHR12(23-28).
IEEE DOI 1302
Character recognition BibRef

Vajda, S.[Szilárd], Junaidi, A.[Akmal], Fink, G.A.[Gernot A.],
A Semi-supervised Ensemble Learning Approach for Character Labeling with Minimal Human Effort,
ICDAR11(259-263).
IEEE DOI 1111
BibRef

Fernández-Mota, D.[David], Lladós, J.[Josep], Fornés, A.[Alicia],
A graph-based approach for segmenting touching lines in historical handwritten documents,
IJDAR(17), No. 3, September 2014, pp. 293-312.
Springer DOI 1408
BibRef

En, S.[Sovann], Petitjean, C.[Caroline], Nicolas, S.[Stéphane], Heutte, L.[Laurent],
A scalable pattern spotting system for historical documents,
PR(54), No. 1, 2016, pp. 149-161.
Elsevier DOI 1603
BibRef
Earlier:
Segmentation-free pattern spotting in historical document images,
ICDAR15(606-610)
IEEE DOI 1511
Pattern spotting BibRef

En, S.[Sovann], Petitjean, C.[Caroline], Nicolas, S.[Stéphane], Heutte, L.[Laurent], Jurie, F.,
Pattern localization in historical document images via template matching,
ICPR16(2054-2059)
IEEE DOI 1705
Correlation, Indexing, Pattern matching, Proposals, Robustness, Search. BibRef

He, S.[Sheng], Samara, P.[Petros], Burgers, J.[Jan], Schomaker, L.[Lambert],
Image-based historical manuscript dating using contour and stroke fragments,
PR(58), No. 1, 2016, pp. 159-171.
Elsevier DOI 1606
Historical manuscript dating BibRef

He, S.[Sheng], Samara, P.[Petros], Burgers, J.[Jan], Schomaker, L.[Lambert],
Historical manuscript dating based on temporal pattern codebook,
CVIU(152), No. 1, 2016, pp. 167-175.
Elsevier DOI 1609
Image-based historical document dating BibRef

Panyam, N.S.[Narahari Sastry], Vijaya Lakshmi, T.R., Krishnan, R.[Rama_Krishnan], Koteswara Rao, N.V.,
Modeling of palm leaf character recognition system using transform based techniques,
PRL(84), No. 1, 2016, pp. 29-34.
Elsevier DOI 1612
Palm leaf character recognition (PLCR). Historical manuscripts on palm leaves. BibRef

Mehri, M.[Maroua], Héroux, P.[Pierre], Gomez-Krämer, P.[Petra], Mullot, R.[Rémy],
Texture feature benchmarking and evaluation for historical document image analysis,
IJDAR(20), No. 1, March 2017, pp. 1-35.
Springer DOI 1703
BibRef

Mehri, M.[Maroua], Mhiri, M.[Mohamed], Heroux, P.[Pierre], Gomez-Kramer, P.[Petra], Mahjoub, M.A.[Mohamed Ali], Mullot, R.[Remy],
Performance Evaluation and Benchmarking of Six Texture-Based Feature Sets for Segmenting Historical Documents,
ICPR14(2885-2890)
IEEE DOI 1412
Complexity theory BibRef

Garz, A., Seuret, M., Fischer, A., Ingold, R.,
A User-Centered Segmentation Method for Complex Historical Manuscripts Based on Document Graphs,
HMS(47), No. 2, April 2017, pp. 181-193.
IEEE DOI 1704
Databases BibRef

Halder, B.[Biswajit], Mondal, A.C.[Abhoy Chand],
Modelling of ink-colour degradation on old printed documents,
IJCVR(7), No. 4, 2017, pp. 398-410.
DOI Link 1708
BibRef

Yang, P.[Po], Antonacopoulos, A.[Apostolos], Clausner, C.[Christian], Pletschacher, S.[Stefan], Qi, J.[Jun],
Effective geometric restoration of distorted historical document for large-scale digitisation,
IET-IPR(11), No. 10, October 2017, pp. 841-853.
DOI Link 1710
BibRef

Baig, A.[Asim], Al-Ma'adeed, S.A.S.[Somaya A.S.], Bouridane, A.[Ahmed], Cheriet, M.[Mohamed],
Automatic segmentation and reconstruction of historical manuscripts in gradient domain,
IET-IPR(12), No. 4, April 2018, pp. 502-512.
DOI Link 1804
BibRef

Lemaitre, A.[Aurélie], Camillerapp, J.[Jean], Carton, C.[Cérès], Coüasnon, B.[Bertrand],
A combined strategy of analysis for the localization of heterogeneous form fields in ancient pre-printed records,
IJDAR(21), No. 4, December 2018, pp. 269-282.
Springer DOI 1810
BibRef

Toledo, J.I.[J. Ignacio], Carbonell, M.[Manuel], Fornés, A.[Alicia], Lladós, J.[Josep],
Information extraction from historical handwritten document images with a context-aware neural model,
PR(86), 2019, pp. 27-36.
Elsevier DOI 1811
Document image analysis, Handwritten documents, Named entity recognition, Deep neural networks BibRef

Tensmeyer, C.[Chris], Martinez, T.[Tony],
CONFIRM: Clustering of noisy form images using robust matching,
PR(87), 2019, pp. 1-16.
Elsevier DOI 1812
Form processing, Document analysis, Document image clustering, Historical document processing, Clustering BibRef

Capobianco, S.[Samuele], Marinai, S.[Simone],
Deep neural networks for record counting in historical handwritten documents,
PRL(119), 2019, pp. 103-111.
Elsevier DOI 1902
Handwritten documents, Convolutional neural networks, Synthetic document generation, Record counting BibRef

Qureshi, R.[Rizwan], Uzair, M.[Muhammad], Khurshid, K.[Khurram], Yan, H.[Hong],
Hyperspectral document image processing: Applications, challenges and future prospects,
PR(90), 2019, pp. 12-22.
Elsevier DOI 1903
Hyperspectral document imaging, Signature extraction, Historical document image analysis, Cultural heritage, Ink mismatch detection BibRef

Sánchez, J.A.[Joan Andreu], Romero, V.[Verónica], Toselli, A.H.[Alejandro H.], Villegas, M.[Mauricio], Vidal, E.[Enrique],
A set of benchmarks for Handwritten Text Recognition on historical documents,
PR(94), 2019, pp. 122-134.
Elsevier DOI 1906
Historical handwritten text recognition, Hidden Markov models, Convolutional neural networks, Recurrent neural networks, Language modeling BibRef

Dhali, M.A.[Maruf A.], Jansen, C.N.[Camilo Nathan], de Wit, J.W.[Jan Willem], Schomaker, L.[Lambert],
Feature-extraction methods for historical manuscript dating based on writing style development,
PRL(131), 2020, pp. 413-420.
Elsevier DOI 2004
BibRef

Santoro, A.[Adolfo], Marcelli, A.[Angelo],
Using keyword spotting systems as tools for the transcription of historical handwritten documents: Models and procedures for performance evaluation,
PRL(131), 2020, pp. 329-335.
Elsevier DOI 2004
Historical documents, Keyword spotting systems, Performance model BibRef

Ostertag, C.[Cecilia], Beurton-Aimar, M.[Marie],
Matching ostraca fragments using a siamese neural network,
PRL(131), 2020, pp. 336-340.
Elsevier DOI 2004
flakes of limestone with writing in ink BibRef

Domingo, M.[Miguel], Casacuberta, F.[Francisco],
Modernizing historical documents: A user Study,
PRL(133), 2020, pp. 151-157.
Elsevier DOI 2005
Cultural heritage, Historical documents modernization, Machine translation, Human evaluation, User study BibRef

Nguyen, N.V.[Nhu-Van], Coustaty, M.[Mickael], Ogier, J.M.[Jean-Marc],
An adaptive document recognition system for lettrines,
IJDAR(23), No. 2, June 2020, pp. 115-128.
Springer DOI 2005
BibRef

Ly, N.T.[Nam Tuan], Nguyen, C.T.[Cuong Tuan], Nakagawa, M.[Masaki],
An attention-based row-column encoder-decoder model for text recognition in Japanese historical documents,
PRL(136), 2020, pp. 134-141.
Elsevier DOI 2008
Attention mechanism, Sequence-to-sequence, Row-column BLSTM, Residual connection, Historical documents, Multiple text lines recognition BibRef

Boudraa, O.[Omar], Hidouci, W.K.[Walid Khaled], Michelucci, D.[Dominique],
An Efficient Cooperative Smearing Technique for Degraded Historical Document Image Segmentation,
IJIG(21), No. 2 2021, pp. 2150012.
DOI Link 2105
BibRef

Rouhou, A.C.[Ahmed Cheikh], Dhiaf, M.[Marwa], Kessentini, Y.[Yousri], Ben Salem, S.[Sinda],
Transformer-based approach for joint handwriting and named entity recognition in historical document,
PRL(155), 2022, pp. 128-134.
Elsevier DOI 2203
Named-entity-recognition, Text block recognition, Transformer, IEHHR competition BibRef

Yuan, W.J.[Wen-Jing], Yang, L.[Lin], Yang, Q.[Qing], Sheng, Y.[Yehua], Wang, Z.Y.[Zi-Yang],
Extracting Spatio-Temporal Information from Chinese Archaeological Site Text,
IJGI(11), No. 3, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Zatelli, P.[Paolo], Gabellieri, N.[Nicola], Besana, A.[Angelo],
Digitalization and Classification of Cesare Battisti's Atlas of 1915,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Souibgui, M.A.[Mohamed Ali], Fornés, A.[Alicia], Kessentini, Y.[Yousri], Megyesi, B.[Beáta],
Few shots are all you need: A progressive learning approach for low resource handwritten text recognition,
PRL(160), 2022, pp. 43-49.
Elsevier DOI 2208
Handwritten text recognition, Few-shot learning, Unsupervised progressive learning, Ciphered manuscripts BibRef

Souibgui, M.A.[Mohamed Ali], Biten, A.F.[Ali Furkan], Dey, S.[Sounak], Fornés, A.[Alicia], Kessentini, Y.[Yousri], Gómez, L.[Lluís], Karatzas, D.[Dimosthenis], Lladós, J.[Josep],
One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition,
WACV22(2563-2571)
IEEE DOI 2202
Image segmentation, Handwriting recognition, Machine learning algorithms, Dictionaries, Text recognition, Document Analysis BibRef

Souibgui, M.A.[Mohamed Ali], Fornés, A.[Alicia], Kessentini, Y.[Yousri], Tudor, C.[Crina],
A Few-shot Learning Approach for Historical Ciphered Manuscript Recognition,
ICPR21(5413-5420)
IEEE DOI 2105
Training, Ciphers, Handwriting recognition, Image segmentation, Object detection, Feature extraction, Data models BibRef

Nagy, G.[George],
Reflections of an ancient document processor,
PRL(166), 2023, pp. 76-79.
Elsevier DOI 2302
BibRef

Wu, S.[Sidi], Schindler, K.[Konrad], Heitzler, M.[Magnus], Hurni, L.[Lorenz],
Domain adaptation in segmenting historical maps: A weakly supervised approach through spatial co-occurrence,
PandRS(197), 2023, pp. 199-211.
Elsevier DOI 2303
Domain adaptation, Image segmentation, Historical maps, Change detection, Spatial co-occurrence BibRef

Li, J.[Jing], Wang, Q.F.[Qiu-Feng], Huang, K.[Kaizhu], Yang, X.[Xi], Zhang, R.[Rui], Goulermas, J.Y.[John Y.],
Towards better long-tailed oracle character recognition with adversarial data augmentation,
PR(140), 2023, pp. 109534.
Elsevier DOI 2305
Bone script -- ancient Chinese culture. Oracle character recognition, Long tail, Data imbalance, Data augmentation, Mixup strategy, Generative adversarial networks BibRef

Feng, R.Q.[Rui-Qi], Zhao, F.[Fujia], Chen, S.X.[Shan-Xiong], Zhang, S.[Shixue], Zhu, S.Y.[Shi-Yu],
A handwritten ancient text detector based on improved feature pyramid network,
PRL(172), 2023, pp. 195-202.
Elsevier DOI 2309
Handwritten text detection, Small object detection, Feature pyramid networks, FCOS BibRef

Prieto, J.R.[Jose Ramón], Andrés, J.[José], Granell, E.[Emilio], Sánchez, J.A.[Joan Andreu], Vidal, E.[Enrique],
Information extraction in handwritten historical logbooks,
PRL(172), 2023, pp. 128-136.
Elsevier DOI 2309
Structured handwritten documents, Information extraction, Neural networks BibRef

Ehrmann, M.[Maud], Hamdi, A.[Ahmed], Pontes, E.L.[Elvys Linhares], Romanello, M.[Matteo], Doucet, A.[Antoine],
Named Entity Recognition and Classification in Historical Documents: A Survey,
Surveys(56), No. 2, September 2023, pp. 27.
DOI Link 2310
Survey, Historical Documents. natural language processing, digital humanities, Named entity recognition and classification, historical documents BibRef


de Nardin, A.[Axel], Zottin, S.[Silvia], Piciarelli, C.[Claudio], Colombi, E.[Emanuela], Foresti, G.L.[Gian Luca],
A One-Shot Learning Approach to Document Layout Segmentation of Ancient Arabic Manuscripts,
WACV24(8112-8121)
IEEE DOI 2404
Training, Text analysis, Semantic segmentation, Layout, Machine learning, Complexity theory, Task analysis, Applications BibRef

Quattrini, F.[Fabio], Pippi, V.[Vittorio], Cascianelli, S.[Silvia], Cucchiara, R.[Rita],
Volumetric Fast Fourier Convolution for Detecting Ink on the Carbonized Herculaneum Papyri,
eHeritage23(1718-1726)
IEEE DOI Code:
WWW Link. 2401
BibRef

Prieto, J.R.[Jose Ramón], Becerra, D.[David], Toselli, A.H.[Alejandro Hector], Alonso, C.[Carlos], Vidal, E.[Enrique],
Segmentation of Large Historical Manuscript Bundles into Multi-page Deeds,
IbPRIA23(121-133).
Springer DOI 2307
BibRef

Gaman, M.[Mihaela], Ghadamiyan, L.[Lida], Ionescu, R.T.[Radu Tudor], Popescu, M.[Marius],
Self-paced Learning to Improve Text Row Detection in Historical Documents with Missing Labels,
TextEvery22(253-262).
Springer DOI 2304
BibRef

Nguyen, T.N.[Tien-Nam], Burie, J.C.[Jean-Christophe], Le, T.L.[Thi-Lan], Schweyer, A.V.[Anne-Valérie],
An effective method for text line segmentation in historical document images,
ICPR22(1593-1599)
IEEE DOI 2212
Degradation, Image segmentation, Adaptation models, Layout, Writing, Cost function, Path planning BibRef

Bartz, C.[Christian], Raetz, H.[Hendrik], Otholt, J.[Jona], Meinel, C.[Christoph], Yang, H.J.[Hao-Jin],
Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data,
ICPR22(3878-3884)
IEEE DOI 2212
Text analysis, Annotations, Semantic segmentation, Semantics, Training data, Pressing, Feature extraction BibRef

Ech-Cherif, M.E.A.[Mohammed El-Amine], Cheriet, M.[Mohamed],
Frank-Wolfe-based Multi-task Learning for Historical Document Restoration,
ICPR22(3900-3907)
IEEE DOI 2212
Training, Degradation, Supervised learning, Noise reduction, Self-supervised learning, Pareto optimization, Multitasking BibRef

Curi, Z.[Zacarias], Nicolas, S.[Stéphane], Tranouez, P.[Pierrick], de S.-Britto, A.[Alceu], Heutte, L.[Laurent],
Image Retrieval and Pattern Spotting on Historical Documents with Binary Descriptors,
ICPR22(3893-3899)
IEEE DOI 2212
Training, Image retrieval, Memory management, Image representation, Eigenvalues and eigenfunctions, Time factors BibRef

Paolanti, M.[Marina], Pietrini, R.[Rocco], Sciucca, L.D.[Laura Della], Balloni, E.[Emanuele], Compagnoni, B.L.[Benedetto Luigi], Cesarini, A.[Antonella], Fois, L.[Luca], Feliciati, P.[Pierluigi], Frontoni, E.[Emanuele],
PergaNet: A Deep Learning Framework for Automatic Appearance-Based Analysis of Ancient Parchment Collections,
AI4DH22(290-301).
Springer DOI 2208
BibRef

Mas-Candela, E.[Enrique], Ríos-Vila, A.[Antonio], Calvo-Zaragoza, J.[Jorge],
A First Approach to Image Transformation Sequence Retrieval,
IbPRIA22(321-332).
Springer DOI 2205
BibRef

Bartz, C.[Christian], Seidel, L.[Laurenz], Nguyen, D.H.[Duy-Hung], Bethge, J.[Joseph], Yang, H.J.[Hao-Jin], Meinel, C.[Christoph],
Synthetic Data for the Analysis of Archival Documents: Handwriting Determination,
DICTA20(1-8)
IEEE DOI 2201
Training, Neural networks, Training data, Tools, Data models, Optical character recognition software, Task analysis, handwriting analysis BibRef

Anderson, C.[Carol], Crone, P.[Phil],
Segmenting Messy Text: Detecting Boundaries in Text Derived from Historical Newspaper Images,
ICPR21(5543-5550)
IEEE DOI 2105
Image segmentation, Production systems, Tagging, Position measurement, Optical imaging, Tokenization, deep learning BibRef

Bartz, C.[Christian], Rätz, H.[Hendrik], Meinel, C.[Christoph],
Handwriting Classification for the Analysis of Art-historical Documents,
FAPER20(562-576).
Springer DOI 2103
BibRef

Ostertag, C.[Cecilia], Beurton-Aimar, M.[Marie],
Using Graph Neural Networks to Reconstruct Ancient Documents,
PATRECH20(39-53).
Springer DOI 2103
BibRef

Brenner, S.[Simon], Sablatnig, R.[Robert],
Subjective Assessments of Legibility in Ancient Manuscript Images: The Salami Dataset,
PATRECH20(68-82).
Springer DOI 2103
BibRef

Arabadjis, D.[Dimitris], Papaodysseus, C.[Constantin], Mamatsis, A.R.[Athanasios Rafail], Mamatsi, E.[Eirini],
Handwriting Classification of Byzantine Codices via Geometric Transformations Induced by Curvature Deformations,
PATRECH20(141-155).
Springer DOI 2103
BibRef

Markou, K., Tsochatzidis, L., Zagoris, K., Papazoglou, A., Karagiannis, X., Symeonidis, S., Pratikakis, I.,
A Convolutional Recurrent Neural Network for the Handwritten Text Recognition of Historical Greek Manuscripts,
PATRECH20(249-262).
Springer DOI 2103
BibRef

Tamrin, M.O.[Milad Omrani], Cheriet, M.[Mohamed],
Simultaneous Detection of Regular Patterns in Ancient Manuscripts Using Gan-based Deep Unsupervised Segmentation,
PATRECH20(279-291).
Springer DOI 2103
BibRef

Tamrin, M.O.[Milad Omrani], Ech-Cherif, M.E.A.[Mohammed El-Amine], Cheriet, M.[Mohamed],
A Two-stage Unsupervised Deep Learning Framework for Degradation Removal in Ancient Documents,
PATRECH20(292-303).
Springer DOI 2103
BibRef

Cilia, N.D.[Nicole Dalia], de Stefano, C.[Claudio], Fontanella, F.[Francesco], Marthot-Santaniello, I.[Isabelle], Scotto di Freca, A.[Alessandra],
Papyrow: A Dataset of Row Images from Ancient Greek Papyri for Writers Identification,
PATRECH20(223-234).
Springer DOI 2103
BibRef

Šafár, V., Stanková, H., Pospíšil, J., Kana, D.,
Archive and Wartime Aerial Photographs and Procedures of Their Treatment,
ISPRS20(B2:69-74).
DOI Link 2012
BibRef

Shen, Z., Zhang, K., Dell, M.,
A Large Dataset of Historical Japanese Documents with Complex Layouts,
WTDDL20(2336-2343)
IEEE DOI 2008
Layout, Indexes, Robustness, Task analysis, Detectors, Image color analysis BibRef

Domingo, M.[Miguel], Casacuberta, F.[Francisco],
Enriching Character-Based Neural Machine Translation with Modern Documents for Achieving an Orthography Consistency in Historical Documents,
NTIAP19(59-69).
Springer DOI 1909
BibRef

Szymanski, L., Mills, S.,
CNN for historic handwritten document search,
IVCNZ17(1-6)
IEEE DOI 1902
document image processing, feedforward neural nets, handwriting recognition, handwritten character recognition, word recognition BibRef

Levi, G., Nisnevich, P., Ben-Shalom, A., Dershowitz, N., Wolf, L.B.[Lior B.],
A Method for Segmentation, Matching and Alignment of Dead Sea Scrolls,
WACV18(208-217)
IEEE DOI 1806
archaeology, history, image matching, image resolution, image segmentation, learning (artificial intelligence), Training BibRef

Valach, J., Štefcová, P., Bruna, R., Zemánek, P.,
Multidisciplinary Information System of Assyrian Cuneiform Tablets Enhancing New Research Possibilities Via Heterogeneous Data in Records,
CIPA17(703-706).
DOI Link 1805
BibRef

Valy, D., Verleysen, M., Sok, K.,
Line Segmentation for Grayscale Text Images of Khmer Palm Leaf Manuscripts,
IPTA17(1-6)
IEEE DOI 1804
character recognition, document image processing, image segmentation, text detection, Khmer ancient documents, text line segmentation BibRef

Ge, P., Yu, P., Li, H., Li, H.,
Stroke edge based binarization algorithm for the palm leaf manuscripts,
ICIVC17(778-782)
IEEE DOI 1708
Image edge detection, Image segmentation, Optical imaging, Optical variables measurement, binarization, contrast map extraction, palm leaf manuscripts, stroke, edge, detection BibRef

Romero, V.[Verónica], Bosch, V.[Vicente], Hernández, C.[Celio], Vidal, E.[Enrique], Sánchez, J.A.[Joan Andreu],
A Historical Document Handwriting Transcription End-to-end System,
IbPRIA17(149-157).
Springer DOI 1706
BibRef

Jenckel, M., Bukhari, S.S., Dengel, A.,
anyOCR: A sequence learning based OCR system for unlabeled historical documents,
ICPR16(4035-4040)
IEEE DOI 1705
Graphical user interfaces, Image segmentation, Logic gates, Optical character recognition software, Shape, Training, Training data, Clustering, Historical Documents, LSTM Networks, OCR, OCRopus BibRef

Corbelli, A., Baraldi, L., Grana, C., Cucchiara, R.,
Historical document digitization through layout analysis and deep content classification,
ICPR16(4077-4082)
IEEE DOI 1705
Algorithm design and analysis, Classification algorithms, Correlation, Encyclopedias, Feature extraction, Layout, Tensile, stress BibRef

Yu, R.[Ronald], Luo, Z.[Zexuan], Chiang, Y.Y.,
Recognizing text in historical maps using maps from multiple time periods,
ICPR16(3993-3998)
IEEE DOI 1705
Compounds, Dictionaries, Engines, Image recognition, Optical character recognition software, Software algorithms, Text, recognition BibRef

Stromer, D., Anton, G., Christlein, V., Maier, A., Kugler, P.,
3-D reconstruction of historical documents using an X-Ray C-Arm CT system,
ICVNZ16(1-6)
IEEE DOI 1701
Absorption BibRef

Arnia, F.[Fitri], Fardian, Muchallil, S.[Sayed], Munadi, K.[Khairul],
Noise characterization in ancient document images based on DCT coefficient distribution,
ICDAR15(971-975)
IEEE DOI 1511
BibRef

Mehri, M.[Maroua], Heroux, P.[Pierre], Lerouge, J.[Julien], Gomez-Kramer, P.[Petra], Mullot, R.[Remy],
A structural signature based on texture for digitized historical book page categorization,
ICDAR15(116-120)
IEEE DOI 1511
Categorization; Graph; Historical books; Texture BibRef

Cohen, R.[Rafi], Rabaev, I.[Irina], El-Sana, J.[Jihad], Kedem, K.[Klara], Dinstein, I.[Itshak],
Aligning transcript of historical documents using energy minimization,
ICDAR15(266-270)
IEEE DOI 1511
BibRef

Clausner, C.[Christian], Papadopoulos, C.[Christos], Pletschacher, S.[Stefan], Antonacopoulos, A.[Apostolos],
The ENP image and ground truth dataset of historical newspapers,
ICDAR15(931-935)
IEEE DOI 1511
document analysis; ground truth; historical documents; image dataset BibRef

Asi, A.[Abedelkadir], Cohen, R.[Rafi], Kedem, K.[Klara], El-Sana, J.[Jihad],
Simplifying the reading of historical manuscripts,
ICDAR15(826-830)
IEEE DOI 1511
BibRef

George, S.[Sony], Hardeberg, J.Y.[Jon Yngve],
Ink classification and visualisation of historical manuscripts: Application of hyperspectral imaging,
ICDAR15(1131-1135)
IEEE DOI 1511
Hyperspectral imaging BibRef

LiVolsi, R.[Robert], Zanibbi, R.[Richard], Bigelow, C.[Charles],
Collecting historical font metrics from Google Books,
ICPR12(351-355).
WWW Link. 1302
BibRef

Chen, K.[Kai], Seuret, M.[Mathias], Liwicki, M.[Marcus], Hennebert, J.[Jean], Ingold, R.[Rolf],
Page segmentation of historical document images with convolutional autoencoders,
ICDAR15(1011-1015)
IEEE DOI 1511
BibRef

Seuret, M.[Mathias], Chen, K.[Kai], Eichenbergery, N.[Nicole], Liwicki, M.[Marcus], Ingold, R.[Rolf],
Gradient-domain degradations for improving historical documents images layout analysis,
ICDAR15(1006-1010)
IEEE DOI 1511
BibRef

de Martino, M.[Monica], Monti, M.[Marina], Pastorino, S.[Simone], Rosati, C.[Chiara],
Ontology-Driven Visual Browsing of Historical Industrial Archives,
EuroMed14(716-723).
Springer DOI 1412
BibRef

Hedjam, R.[Rachid], Cheriet, M.[Mohamed], Kalacska, M.[Margaret],
Constrained Energy Maximization and Self-Referencing Method for Invisible Ink Detection from Multispectral Historical Document Images,
ICPR14(3026-3031)
IEEE DOI 1412
Degradation BibRef

Biller, O.[Ofer], Asi, A., Kedem, K.[Klara], El-Sana, J.[Jihad], Dinstein, I.[Itshak],
WebGT: An Interactive Web-Based System for Historical Document Ground Truth Generation,
ICDAR13(305-308)
IEEE DOI 1312
Internet
See also Text Line Detection in Corrupted and Damaged Historical Manuscripts.
See also Case Study in Hebrew Character Searching. BibRef

Indu, S., Tomar, A.[Ayush], Raj, A.[Aman], Chaudhury, S.[Santanu],
Enhancement and Retrieval of Historic Inscription Images,
eHeritage14(529-541).
Springer DOI 1504
BibRef

Wei, H.[Hao], Chen, K.[Kai], Nicolaou, A., Liwicki, M., Ingold, R.,
Investigation of feature selection for historical document layout analysis,
IPTA14(1-6)
IEEE DOI 1503
document image processing BibRef

Fernandez-Mota, D.[David], Almazan, J.[Jon], Cirera, N.[Nuria], Fornes, A.[Alicia], Llados, J.[Josep],
BH2M: The Barcelona Historical, Handwritten Marriages Database,
ICPR14(256-261)
IEEE DOI 1412
Databases BibRef

Antonacopoulos, A., Clausner, C., Papadopoulos, C., Pletschacher, S.,
ICDAR 2013 Competition on Historical Book Recognition (HBR 2013),
ICDAR13(1459-1463)
IEEE DOI 1312
document image processing BibRef

Antonacopoulos, A., Clausner, C., Papadopoulos, C., Pletschacher, S.,
ICDAR 2013 Competition on Historical Newspaper Layout Analysis (HNLA 2013),
ICDAR13(1454-1458)
IEEE DOI 1312
document image processing BibRef

Terasawa, K.[Kengo], Shima, T.[Takahiro], Kawashima, T.[Toshio],
A Fast Appearance-Based Full-Text Search Method for Historical Newspaper Images,
ICDAR11(1379-1383).
IEEE DOI 1111
BibRef

Wahlberg, F.[Fredrik], Brun, A.[Anders],
Feature Weight Optimization and Pruning in Historical Text Recognition,
ISVC13(II:98-107).
Springer DOI 1311
BibRef
Earlier:
Graph based line segmentation on cluttered handwritten manuscripts,
ICPR12(1570-1573).
WWW Link. 1302
BibRef

Wei, H.[Hao], Baechler, M., Slimane, F., Ingold, R.,
Evaluation of SVM, MLP and GMM Classifiers for Layout Analysis of Historical Documents,
ICDAR13(1220-1224)
IEEE DOI 1312
Gaussian processes BibRef

Coustaty, M.[Mickael], Uttama, S.[Surapong], Ogier, J.M.[Jean-Marc],
Extraction of light and specific features for historical image indexing and matching,
ICPR12(1326-1329).
WWW Link. 1302
BibRef

Wilkinson, M.H.F.[Michael H. F.], Oosterbroek, J.[Jaap],
Mask-edge connectivity: Theory, computation, and application to historical document analysis,
ICPR12(1334-1337).
WWW Link. 1302
BibRef

Palermo, F.[Frank], Hays, J.[James], Efros, A.A.[Alexei A.],
Dating Historical Color Images,
ECCV12(VI: 499-512).
Springer DOI 1210
BibRef

Kluzner, V.[Vladimir], Tzadok, A.[Asaf], Chevion, D.[Dan], Walach, E.[Eugene],
Hybrid Approach to Adaptive OCR for Historical Books,
ICDAR11(900-904).
IEEE DOI 1111
BibRef

Kluzner, V.[Vladimir], Tzadok, A.[Asaf], Shimony, Y.[Yuval], Walach, E.[Eugene], Antonacopoulos, A.[Apostolos],
Word-Based Adaptive OCR for Historical Books,
ICDAR09(501-505).
IEEE DOI 0907
BibRef

Wolf, L.B.[Lior B.], Potikha, L.[Liza], Dershowitz, N.[Nachum], Shweka, R.[Roni], Choueka, Y.[Yaacov],
Computerized paleography: Tools for historical manuscripts,
ICIP11(3545-3548).
IEEE DOI 1201
BibRef

Pereira e Silva, G.D.[Gabriel De_Franca], Lins, R.D.[Rafael Dueire],
An Automatic Method for Enhancing Character Recognition in Degraded Historical Documents,
ICDAR11(553-557).
IEEE DOI 1111
BibRef

Pereira e Silva, G.D.[Gabriel De_Franca], Lins, R.D.[Rafael Dueire], da Silva, J.M.M.[João Marcelo Monte],
HistDoc: A Toolbox for Processing Images of Historical Documents,
ICIAR10(II: 409-419).
Springer DOI 1006
BibRef

Konya, I.[Iuliu], Eickeler, S.[Stefan], Seibert, C.[Christoph],
Character Enhancement for Historical Newspapers Printed Using Hot Metal Typesetting,
ICDAR11(936-940).
IEEE DOI 1111
BibRef

Rahnemoonfar, M.[Maryam], Antonacopoulos, A.[Apostolos],
Restoration of Arbitrarily Warped Historical Document Images Using Flow Lines,
ICDAR11(905-909).
IEEE DOI 1111
BibRef

Ben Messaoud, I.[Ines], El Abed, H.[Haikal],
Automatic Annotation for Handwritten Historical Documents Using Markov Models,
FHR10(381-386).
IEEE DOI 1011
BibRef

Garz, A.[Angelika], Sablatnig, R.[Robert], Diem, M.[Markus],
Layout Analysis for Historical Manuscripts Using Sift Features,
ICDAR11(508-512).
IEEE DOI 1111
BibRef
Earlier: A1, A3, A2:
Detecting Text Areas and Decorative Elements in Ancient Manuscripts,
FHR10(176-181).
IEEE DOI 1011
BibRef
And: A1, A3, A2:
Local Descriptors for Document Layout Analysis,
ISVC10(III: 29-38).
Springer DOI 1011
BibRef

Antonacopoulos, A., Clausner, C., Papadopoulos, C., Pletschacher, S.,
Historical Document Layout Analysis Competition,
ICDAR11(1516-1520).
IEEE DOI 1111
BibRef

Bulacu, M.[Marius], van Koert, R.[Rutger], Schomaker, L.R.B.[Lambert R.B.], van der Zant, T.[Tijn],
Layout Analysis of Handwritten Historical Documents for Searching the Archive of the Cabinet of the Dutch Queen,
ICDAR07(357-361).
IEEE DOI 0709
BibRef

Mao, S.[Song], Mansukhani, P.[Praveer], Thoma, G.R.[George R.],
Combining Static Classifiers and Class Syntax Models for Logical Entity Recognition in Scanned Historical Documents,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Feng, S.L.[Shao-Lei], Manmatha, R., McCallum, A.,
Exploring the Use of Conditional Random Field Models and HMMs for Historical Handwritten Document Recognition,
DIAL06(30-37).
IEEE DOI 0604
BibRef

Feng, S.L., Manmatha, R.,
Classification models for historical manuscript recognition,
ICDAR05(I: 528-532).
IEEE DOI 0508
BibRef

Drira, F.,
Towards Restoring Historic Documents Degraded Over Time,
DIAL06(350-357).
IEEE DOI 0604
BibRef

Kavallieratou, E., Stamatatos, E.,
Improving the Quality of Degraded Document Images,
DIAL06(340-349).
IEEE DOI 0604
BibRef

Mao, S.[Song], Xu, Z.[Zheng], Tjahjadi, T.[Tardi], Thoma, G.R.[George R.],
Logical Entity Recognition in Multi-Style Document Page Images,
ICPR06(I: 876-879).
IEEE DOI 0609
BibRef

Carrera, F.,
Making history: an emergent system for the systematic accrual of transcriptions of historic manuscripts,
ICDAR05(I: 543-547).
IEEE DOI 0508
BibRef

Esposito, F., Malerba, D., Semeraro, G., Ferilli, S., Altamura, O., Basile, T.M.A., Berardi, M., Ceci, M., di Mauro, N.,
Machine learning methods for automatically processing historical documents: from paper acquisition to XML transformation,
DIAL04(328-335).
IEEE DOI 0404
BibRef

de Mello, C.A.B.[Carlos A. B.],
An Algorithm for Foreground-Background Separation in Low Quality Patrimonial Document Images,
CIARP07(911-920).
Springer DOI 0711
BibRef
Earlier:
Image Segmentation of Historical Documents: Using a Quality Index,
ICIAR04(II: 209-216).
Springer DOI 0409
BibRef

de Mello, C.A.B.[Carlos A.B.], Lins, R.D.[Rafael D.],
Generation of Images of Historical Documents by Composition of their Components,
VI02(45).
PDF File. 0208
BibRef

Miyazaki, J.,
Documents and services: from the historical points of document media as extension of human body,
ICDAR05(II: 811).
IEEE DOI 0508
BibRef

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Word Level Recognition, Language Models .


Last update:Oct 22, 2024 at 22:09:59