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Decompose algorithm for thresholding degraded historical document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
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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See also Application of Multi-Level Classifiers and Clustering for Automatic Word Spotting in Historical Document Images.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Historical Document Images,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
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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
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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
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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],
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A local linear level set method for the binarization of degraded
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IJDAR(15), No. 2, June 2012, pp. 101-124.
WWW Link.
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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
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BibRef
Likforman-Sulem, L.[Laurence],
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Recognition of degraded characters using dynamic Bayesian networks,
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0808
BibRef
Earlier:
Recognition of Broken Characters from Historical Printed Books Using
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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
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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],
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Frieder, O.[Ophir],
Historical document enhancement using LUT classification,
IJDAR(13), No. 1, March 2010, pp. xx-yy.
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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],
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Document image characterization using a multiresolution analysis of the
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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.,
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Domenger, J.P.,
Mullot, R.,
A character degradation model for grayscale ancient document images,
ICPR12(685-688).
WWW Link.
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Gotscharek, A.[Annette],
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Towards information retrieval on historical document collections:
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IJDAR(14), No. 2, June 2011, pp. 159-171.
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1106
BibRef
Coustaty, M.[Mickael],
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1109
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Earlier: A1, A4, A2, A3:
Drop Caps Decomposition for Indexing a New Letter Extraction Method,
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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
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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
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ICDAR11(349-353).
IEEE DOI
1111
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Nguyen, G.[Giap],
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Stroke feature extraction for lettrine indexing,
IPTA10(355-360).
IEEE DOI
1007
BibRef
Jouili, S.[Salim],
Coustaty, M.[Mickael],
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NAVIDOMASS:
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ICPR10(946-949).
IEEE DOI
1008
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Segmentation of historical machine-printed documents using Adaptive Run
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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
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1302
Error detection and error correction; Processing of historical
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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],
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PR(47), No. 1, 2014, pp. 248-259.
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Earlier:
Segmentation of Parchment Scrolls for Virtual Unrolling,
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HTML Version.
1110
Parchment restoration
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Liu, C.[Chang],
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1802
X-ray microscopy, image segmentation, optimisation,
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BibRef
Richarz, J.[Jan],
Vajda, S.[Szilard],
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PR(47), No. 3, 2014, pp. 1011-1020.
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1312
BibRef
Earlier: A1, A2, A4, Only:
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1302
Character recognition
BibRef
Vajda, S.[Szilárd],
Junaidi, A.[Akmal],
Fink, G.A.[Gernot A.],
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ICDAR11(259-263).
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1111
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IJDAR(17), No. 3, September 2014, pp. 293-312.
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1408
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En, S.[Sovann],
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PR(54), No. 1, 2016, pp. 149-161.
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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],
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Pattern localization in historical document images via template
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ICPR16(2054-2059)
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1705
Correlation, Indexing, Pattern matching, Proposals, Robustness,
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He, S.[Sheng],
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Burgers, J.[Jan],
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PR(58), No. 1, 2016, pp. 159-171.
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1606
Historical manuscript dating
BibRef
He, S.[Sheng],
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Burgers, J.[Jan],
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CVIU(152), No. 1, 2016, pp. 167-175.
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1609
Image-based historical document dating
BibRef
Panyam, N.S.[Narahari Sastry],
Vijaya Lakshmi, T.R.,
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Koteswara Rao, N.V.,
Modeling of palm leaf character recognition system using transform
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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],
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Texture feature benchmarking and evaluation for historical document
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IJDAR(20), No. 1, March 2017, pp. 1-35.
Springer DOI
1703
BibRef
Mehri, M.[Maroua],
Mhiri, M.[Mohamed],
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Performance Evaluation and Benchmarking of Six Texture-Based Feature
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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
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HMS(47), No. 2, April 2017, pp. 181-193.
IEEE DOI
1704
Databases
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Halder, B.[Biswajit],
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Modelling of ink-colour degradation on old printed documents,
IJCVR(7), No. 4, 2017, pp. 398-410.
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BibRef
Yang, P.[Po],
Antonacopoulos, A.[Apostolos],
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Pletschacher, S.[Stefan],
Qi, J.[Jun],
Effective geometric restoration of distorted historical document for
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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
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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
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IJDAR(21), No. 4, December 2018, pp. 269-282.
Springer DOI
1810
BibRef
Toledo, J.I.[J. Ignacio],
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Information extraction from historical handwritten document images
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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
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PRL(119), 2019, pp. 103-111.
Elsevier DOI
1902
Handwritten documents, Convolutional neural networks,
Synthetic document generation, Record counting
BibRef
Qureshi, R.[Rizwan],
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Khurshid, K.[Khurram],
Yan, H.[Hong],
Hyperspectral document image processing: Applications, challenges and
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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
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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],
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Feature-extraction methods for historical manuscript dating based on
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PRL(131), 2020, pp. 413-420.
Elsevier DOI
2004
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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
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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
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IJIG(21), No. 2 2021, pp. 2150012.
DOI Link
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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
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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
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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
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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],
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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
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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],
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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
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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
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
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ICPR12(1326-1329).
WWW Link.
1302
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Wilkinson, M.H.F.[Michael H. F.],
Oosterbroek, J.[Jaap],
Mask-edge connectivity: Theory, computation, and application to
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ICPR12(1334-1337).
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1302
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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 .