25.2.2.2 Document Layout, Document Segmentation, Page Layout, Structure Analysis

Chapter Contents (Back)
Document Analysis. Segmentation. Document Segmentation. Layout Analysis. Document Layout. Page Segmentation. Application, Document Layout. Application, Page Layout.
See also Page Segmentation, General Evaluations.

Goldwasser, S.M., Troxel, D.E.,
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CVGIP(26), No. 1, April 1984, pp. 30-44.
Elsevier DOI BibRef 8404

Okawa, Y.[Yoshikuni],
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CVGIP(43), No. 2, August 1988, pp. 265-278.
Elsevier DOI BibRef 8808
Earlier:
Identification of Packaged-in-a-box Goods for Designing a Part of an Intelligent Cash Register,
ICPR80(150-152). Where to put the graphics to not hide the picture. BibRef

Srihari, S.N., and Govindaraju, V.,
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Peppers, N.A.[Norman A.], Young, J.R.[James R.], Nishi, H.[Hisami], Ueno, H.[Hiroshi],
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US_Patent4,817,169, March 28, 1989.
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O'Gorman, L.,
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PAMI(15), No. 11, November 1993, pp. 1162-1173.
IEEE DOI Determine the structure of the document for storage and recognition. (For evaluation:
See also Empirical Performance Evaluation Methodology and Its Application to Page Segmentation Algorithms. ) BibRef 9311

Krishnamoorthy, M., Nagy, G., Seth, S., and Viswanathan, M.,
Syntatic Segmentation and Labeling of Digitized Pages from Technical Journals,
PAMI(15), No. 7, July 1993, pp. 737-747.
IEEE DOI A more complete version of the following paper and system. Error correction with backtracking. Computationally complex. Understanding of how documents are put together. BibRef 9307

Viswanathan, M.,
Analysis of Scanned documents: A Syntactic Approach,
SDIA92(xx-yy). BibRef 9200

Hones, F., Lichter, J.,
Layout Extraction of Mixed-Mode Documents,
MVA(7), No. 4, 1994, pp. 237-246. BibRef 9400

Saitoh, T., Yamaai, T., Tachikawa, M.,
Document Image Segmentation and Layout Analysis,
IEICE(Info Sys 77), No. 7, 1994, pp. 778-784. BibRef 9400

Saitoh, T., Pavlidis, T.,
Page segmentation without rectangle assumption,
ICPR92(II:277-280).
IEEE DOI 9208
BibRef

Cullen, J.F.[John F.], Ejiri, K.[Koichi],
Segmentation of text, picture and lines of a document image,
US_Patent5,335,290, August 2, 1994.
WWW Link. BibRef 9408
And: US_Patent5,465,304, Nov 7, 1995
WWW Link. BibRef

Peairs, M.[Mark],
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US_Patent5,717,940, Feb 10, 1998
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Peairs, M.[Mark], Hull, J.J.[Jonathan J.], Cullen, J.F.[John F.],
Automatic document classification using text and images,
US_Patent7,039,856, May 2, 2006
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Kopec, G.E., Chou, P.A.,
Document Image Decoding Using Markov Source Models,
PAMI(16), No. 6, June 1994, pp. 602-617.
IEEE DOI BibRef 9406
Earlier:
Document image decoding,
ICIP94(II: 36-40).
IEEE DOI 9411
BibRef
Earlier:
Automatic Generation of Custom Document Image Decoders,
ICDAR93(xx-yy). BibRef

Kam, A.C.,
Heuristic Document Image Decoding Using Markov Source Models,
MITMasters Thesis, June 1993. BibRef 9306

Kam, A.C., Kopec, G.E.,
Document Image Decoding by Heuristic Search,
PAMI(18), No. 9, September 1996, pp. 945-950.
IEEE DOI Heuristic Search. BibRef 9609
Earlier:
Separable Source Models for Document Image Decoding,
SPIE(2422), February 1995, pp. 84-97. BibRef

Shiau, J.N.[Jeng-Nan],
Automatic image segmentation for color documents,
US_Patent5,341,226, August 23, 1994.
WWW Link. BibRef 9408

Hayashi, N.[Naoki], Saito, K.[Kazuo],
Document layout processing method and device for carrying out the same,
US_Patent5,379,373, January 3, 1995.
WWW Link. BibRef 9501

Ozaki, M.[Masaharu],
Method and apparatus for document segmentation by background analysis,
US_Patent5,555,556, September 10, 1996
WWW Link. BibRef 9609

Kopec, G.E.[Gary E.], Lomelin, M.[Mauricio],
Supervised Template Estimation for Document Image Decoding,
PAMI(19), No. 12, December 1997, pp. 1313-1324.
IEEE DOI 9712
BibRef
Earlier:
Document image Decoding Approach to Character Template Estimation,
ICIP96(II: 213-216).
IEEE DOI BibRef
And:
Document Specific Character Template Estimation,
SPIE(2660), 1996, pp. 14-26. Templates for recognizing characters. BibRef

Kopec, G.E.[Gary E.],
Multilevel Character Templates for Document Image Decoding,
SPIE(3027), 1997, pp. xx-yy. BibRef 9700
Earlier:
Document Image Decoding in the Berkeley Digital Library Project,
SPIE(2660), 1996, pp. 2-13. BibRef
And:
Document Image Decoding in the Berkeley Digital Library,
ICIP96(II: 769-772).
IEEE DOI BibRef

Dengel, A.R., Dubiel, F.,
Computer Understanding of Document Structure,
IJIST(7), No. 4, Winter 1996, pp. 271-278. 9612
BibRef

Niyogi, D., Srihari, S.N.,
Integrated Approach to Document Decomposition and Structural-Analysis,
IJIST(7), No. 4, Winter 1996, pp. 330-342. 9612
BibRef
Earlier:
Knowledge-Based Derivation of Document Logical Structure,
ICDAR95(472-475). Bottom up approach. 3 levels of rules, knowledge, control and strategy. Accuracy varies (48-100%). Has 160 rules. BibRef

Niyogi, D., Srihari, S.N.,
A Rule-Based System for Document Understanding,
AAAI-86(789-793). BibRef 8600

Simon, A., Pret, J.C., Johnson, A.P.,
A Fast Algorithm for Bottom-Up Document Layout Analysis,
PAMI(19), No. 3, March 1997, pp. 273-277.
IEEE DOI 9704
BibRef

Liu, J.M.[Ji-Ming], Tang, Y.Y.[Yuan Y.], Suen, C.Y.[Ching Y.],
Chinese Document Layout Analysis Based on Adaptive Split-and-Merge and Qualitative Spatial Reasoning,
PR(30), No. 8, August 1997, pp. 1265-1278.
Elsevier DOI 9708
BibRef

Tang, Y.Y., Ma, H., Liu, J.M., Li, B.F., Xi, D.H.,
Multiresolution Analysis in Extraction of Reference Lines from Documents with Gray-Level Background,
PAMI(19), No. 8, August 1997, pp. 921-926.
IEEE DOI 9709
Find reference lines to determine the structure of the document. BibRef

Bayer, T.A.[Thomas A.], Kressel, U.[Ulrich], Mogg-Schneider, H.U.[Heike U.], Renz, I.[Ingrid],
Categorizing Paper Documents,
CVIU(70), No. 3, June 1998, pp. 299-306.
DOI Link BibRef 9806

Caelli, T.M.[Terry M.], and Dillon, C.[Craig],
CITE: A Trainable Image Annotation System,
PRL(18), No. 11-13, November 1997, pp. 1247-1252. 9806
BibRef

Dillon, C.[Craig], and Caelli, T.M.[Terry M.],
Learning Image Annotation: The Cite System,
Videre(1), No. 2, Winter 1998, pp. 90-121. Generate automatic annotations. Apply to airports and office scenes. Region and color based analysis.
HTML Version.
PDF File. BibRef 9800

Cooperman, R.S.[Robert S.],
System for document layout analysis,
US_Patent5,784,487, Jul 21, 1998
WWW Link. BibRef 9807

Ancin, H.[Hakan],
Document segmentation system,
US_Patent5,956,468, September 21, 1999.
WWW Link. Text and graphics. BibRef 9909

Chao, H.[Hui], Bloomberg, D.S.[Dan S.],
Method and system for document segmentation,
US_Patent6,904,170, June 7, 2005.
WWW Link. Projection profiles. BibRef 0506

Bloomberg, D.S.[Dan S.],
Method and article of manufacture for determining whether a scanned image is an original image or fax image,
US_Patent5,828,771, Oct 27, 1998
WWW Link. BibRef 9810

Nakayama, T.[Takehiro],
Method and apparatus for document classification from degraded images,
US_Patent5,909,510, Jun 1, 1999
WWW Link. BibRef 9906

Crabtree, R.N.[Ralph N.], Peng, A.[Antai],
Knowledge-based document analysis system,
US_Patent5,937,084, Aug 10, 1999
WWW Link. BibRef 9908

Li, J., Gray, R.M.,
Context-Based Multiscale Classification of Document Images Using Wavelet Coefficient Distributions,
IP(9), No. 9, September 2000, pp. 1604-1616.
IEEE DOI 0008
BibRef

Ageenko, E., Fränti, P.,
Context-based filtering of document images,
PRL(21), No. 6-7, June 2000, pp. 483-491. 0006
BibRef

Lee, K.H.[Kyong-Ho], Choy, Y.C.[Yoon-Chul], Cho, S.B.[Sung-Bae],
Geometric Structure Analysis of Document Images: A Knowledge-Based Approach,
PAMI(22), No. 11, November 2000, pp. 1224-1240.
IEEE DOI 0012
Journal pages. Combine botton-up and top-down approach. Segmentation then identification. BibRef

Shin, C.[Christian], Doermann, D.S.[David S.], Rosenfeld, A.[Azriel],
Classification of document pages using structure-based features,
IJDAR(3), No. 4, 2001, pp. 232-247.
Springer DOI 0106
BibRef

Liang, J.S.[Ji-Sheng], Phillips, I.T.[Ihsin T.], Haralick, R.M.[Robert M.],
An Optimization Methodology for Document Structure Extraction on Latin Character Documents,
PAMI(23), No. 7, July 2001, pp. 719-734.
IEEE DOI 0108
BibRef

Chetverikov, D., Liang, J., Komuves, J., Haralick, R.M.,
Zone Classification Using Texture Features,
ICPR96(III: 676-680).
IEEE DOI 9608
(Hungarian Academy of Sciences, H) BibRef

Liang, J., Ha, J., Haralick, R.M., and Phillips, I.T.,
Document Layout Structure Extraction Using Bounding Boxes of Different Entities,
WACV96(278-283).
IEEE DOI 9609
BibRef

Haralick, R.M.,
Document Image Analysis: Geometric and Logical Layout,
CVPR94(385-390).
IEEE DOI BibRef 9400

Klink, S.[Stefan], Kieninger, T.[Thomas],
Rule-based document structure understanding with a fuzzy combination of layout and textual features,
IJDAR(4), No. 1, 2001, pp. 18-26.
Springer DOI 0111
BibRef

Altamura, O.[Oronzo], Esposito, F.[Floriana], Malerba, D.[Donato],
Transforming paper documents into XML format with WISDOM++,
IJDAR(4), No. 1, 2001, pp. 2-17.
Springer DOI 0111
BibRef

Lee, S.W.[Seong-Whan], Ryu, D.S.[Dae-Seok],
Parameter-Free Geometric Document Layout Analysis,
PAMI(23), No. 11, November 2001, pp. 1240-1256.
IEEE DOI 0112
Segment into maximal homogeneous regions, identify as text, graphics, etc. Periodicity measure for text. BibRef

Ryu, D.S., Kang, S.M., Lee, S.W.,
Parameter-independent Geometric Document Layout Analysis,
ICPR00(Vol IV: 397-400).
IEEE DOI 0009
BibRef

Hull, J.J., Lee, D.S.,
Simultaneous Highlighting of Paper and Electronic Documents,
ICPR00(Vol IV: 401-404).
IEEE DOI 0009
BibRef

Acharyya, M.[Mausumi], Kundu, M.K.[Malay K.],
Document image segmentation using wavelet scale-space features,
CirSysVideo(12), No. 12, December 2002, pp. 1117-1127.
IEEE Top Reference. 0301
BibRef
Earlier:
Multiscale Segmentation of Document Images Using M-Band Wavelets,
CAIP01(510 ff.).
Springer DOI 0210

See also adaptive approach to unsupervised texture segmentation using M-Band wavelet transform, An. BibRef

Lee, J.Y.[Ji-Yeon], Park, J.S.[Jeong-Seon], Byun, H.R.[Hye-Ran], Moon, J.[Jongsub], Lee, S.W.[Seong-Whan],
Automatic generation of structured hyperdocuments from document images,
PR(35), No. 2, February 2002, pp. 485-503.
Elsevier DOI 0201
BibRef

Lee, J.Y., Choi, S.H., Lee, S.W.,
Automatic Generation of Structured Hyperdocuments from Multi-column Document Images,
ICPR00(Vol IV: 422-425).
IEEE DOI 0009
BibRef

Lam, W.[Wai], Han, Y.[Yiqiu],
Automatic textual document categorization based on generalized instance sets and a metamodel,
PAMI(25), No. 5, May 2003, pp. 628-633.
IEEE Abstract. 0304
Generalized instance set. (GIS) BibRef

Bagdanov, A.D.[Andrew D.], Worring, M.[Marcel],
Multiscale Document Description Using Rectangular Granulometries,
IJDAR(6), No. 3, March 2004, pp. 181-191.
Springer DOI 0406
BibRef
Earlier: DAS02(445 ff.).
Springer DOI 0303
BibRef
Earlier:
Fine-grained document genre classification using first order random graphs,
ICDAR01(79-83).
IEEE DOI 0109
BibRef

Chang, F.[Fu], Chu, S.Y.[Shih-Yu], Chen, C.Y.[Chi-Yen],
Chinese document layout analysis using an adaptive regrouping strategy,
PR(38), No. 2, February 2005, pp. 261-271.
Elsevier DOI 0411
BibRef

Wu, C.C.[Chung-Chih], Chou, C.H.[Chien-Hsing], Chang, F.[Fu],
A machine-learning approach for analyzing document layout structures with two reading orders,
PR(41), No. 10, October 2008, pp. 3200-3213.
Elsevier DOI 0808
Binary decision; Document layout analysis; Reading order; Support vector machine; Taboo box; Textline; Text region BibRef

Altamura, O.[Oronzo], Berardi, M.[Margherita], Ceci, M.[Michelangelo], Malerba, D.[Donato], Varlaro, A.[Antonio],
Using colour information to understand censorship cards of film archives,
IJDAR(9), No. 2-4, April 2007, pp. 281-297.
Springer DOI 0704
BibRef
Earlier: A2, A1, A3, A4, Only:
A color-based layout analysis to process censorship cards of film archives,
ICDAR05(II: 1110-1114).
IEEE DOI 0508
BibRef

Natarajan, P.[Prem], Prasad, R.[Rohit], Subramanian, K.[Krishna], Saleem, S.[Shirin], Choi, F.[Fred], Schwartz, R.[Rich],
Finding structure in noisy text: Topic classification and unsupervised clustering,
IJDAR(10), No. 3-4, December 2007, pp. 187-198.
Springer DOI 0712
BibRef

Subramanian, K.[Krishna], Prasad, R.[Rohit], Natarajan, P.[Prem],
Robust named entity detection from optical character recognition output,
IJDAR(14), No. 2, June 2011, pp. 189-200.
WWW Link. 1106
BibRef

Cao, H.[Huaigu], Prasad, R.[Rohit], Saleem, S.[Shirin], Natarajan, P.[Premkumar],
Unsupervised HMM Adaptation Using Page Style Clustering,
ICDAR09(1091-1095).
IEEE DOI 0907
BibRef

Lemaitre, A.[Aurélie], Camillerapp, J.[Jean], Coüasnon, B.[Bertrand],
Multiresolution cooperation makes easier document structure recognition,
IJDAR(11), No. 2, November 2008, pp. xx-yy.
Springer DOI 0810
BibRef
Earlier:
Contribution of Multiresolution Description for Archive Document Structure Recognition,
ICDAR07(247-251).
IEEE DOI 0709
BibRef

Jamieson, M.[Michael], Fazly, A.[Afsaneh], Stevenson, S.[Suzanne], Dickinson, S.J.[Sven J.], Wachsmuth, S.[Sven],
Using Language to Learn Structured Appearance Models for Image Annotation,
PAMI(32), No. 1, January 2010, pp. 148-164.
IEEE DOI 0912
BibRef
Earlier: A1, A2, A4, A3, A5:
Learning Structured Appearance Models from Captioned Images of Cluttered Scenes,
ICCV07(1-8).
IEEE DOI 0710
Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects. Few image features relate to captions, some caption words do not relate to image features. Learn meaningful feature configurations across multiple images. Graph based model. BibRef

Jamieson, M.[Michael], Eskin, Y.[Yulia], Fazly, A.[Afsaneh], Stevenson, S.[Suzanne], Dickinson, S.J.[Sven J.],
Discovering hierarchical object models from captioned images,
CVIU(116), No. 7, July 2012, pp. 842-853.
Elsevier DOI 1202
BibRef
Earlier:
Discovering Multipart Appearance Models from Captioned Images,
ECCV10(V: 183-196).
Springer DOI 1009
Language-vision integration; Object recognition; Automatic image annotation; Learning hierarchical models BibRef

Moringen, J.[Jan], Wachsmuth, S.[Sven], Dickinson, S.J.[Sven J.], Stevenson, S.[Suzanne],
Learning Visual Compound Models from Parallel Image-Text Datasets,
DAGM08(xx-yy).
Springer DOI 0806
BibRef

Anaya-Sanchez, H.[Henry], Pons-Porrata, A.[Aurora], Berlanga-Llavori, R.[Rafael],
A document clustering algorithm for discovering and describing topics,
PRL(31), No. 6, 15 April 2010, pp. 502-510.
Elsevier DOI 1004
BibRef
Earlier:
A New Document Clustering Algorithm for Topic Discovering and Labeling,
CIARP08(161-168).
Springer DOI 0809
Document clustering; Topic discovery; Topic description BibRef

Lias-Rodríguez, A.[Alexsey], Pons-Porrata, A.[Aurora],
BR: A New Method for Computing All Typical Testors,
CIARP09(433-440).
Springer DOI 0911
BibRef

Fonseca-Bruzón, A.[Adrian], Gil-García, R.[Reynaldo], Pons-Porrata, A.[Aurora],
Using the alpha-beta-Neighborhood for Adaptive Document Filtering,
CIARP08(783-790).
Springer DOI 0809
BibRef

Gil-García, R.[Reynaldo], Pons-Porrata, A.[Aurora],
Improving the Dynamic Hierarchical Compact Clustering Algorithm by Using Feature Selection,
CIARP10(113-120).
Springer DOI 1011
BibRef

Pons-Porrata, A.[Aurora], Gil-García, R.[Reynaldo], Berlanga-Llavori, R.[Rafael],
Using Typical Testors for Feature Selection in Text Categorization,
CIARP07(643-652).
Springer DOI 0711
BibRef

Gil-García, R.[Reynaldo], Pons-Porrata, A.[Aurora],
Dynamic hierarchical algorithms for document clustering,
PRL(31), No. 6, 15 April 2010, pp. 469-477.
Elsevier DOI 1004
BibRef
Earlier:
A Speed-Up Hierarchical Compact Clustering Algorithm for Dynamic Document Collections,
CIARP09(379-386).
Springer DOI 0911
BibRef
Earlier:
Hierarchical Star Clustering Algorithm for Dynamic Document Collections,
CIARP08(187-194).
Springer DOI 0809
BibRef
Earlier:
A New Nearest Neighbor Rule for Text Categorization,
CIARP06(814-823).
Springer DOI 0611
Hierarchical clustering; Dynamic clustering; Overlapped clustering BibRef

Artigas-Fuentes, F.J.[Fernando José], Gil-García, R.[Reynaldo], Badía-Contelles, J.M.[José Manuel], Pons-Porrata, A.[Aurora],
Fast k-NN Classifier for Documents Based on a Graph Structure,
CIARP10(228-235).
Springer DOI 1011
BibRef

Gil-García, R.J.[Reynaldo J.], Badía-Contelles, J.M.[Jose M.], Pons-Porrata, A.[Aurora],
A General Framework for Agglomerative Hierarchical Clustering Algorithms,
ICPR06(II: 569-572).
IEEE DOI 0609
BibRef

Erkilinc, S.[Sezer], Jaber, M.[Mustafa], Saber, E.[Eli], Bauer, P.[Peter], Depalov, D.[Dejan],
Analysis and classification for complex scanned documents,
SPIE(Newsroom), August 8, 2011.
DOI Link 1108
A fast and robust algorithm classifies text, image, strong edges or lines, and background regions in different types of scanned documents from plain fax covers to colorful flyers. BibRef

Rangoni, Y.[Yves], Belaïd, A.[Abdel], Vajda, S.[Szilárd],
Labelling logical structures of document images using a dynamic perceptive neural network,
IJDAR(15), No. 1, March 2012, pp. 45-55.
WWW Link. 1203
BibRef

Rangoni, Y.[Yves], Belaid, A.[Abdel],
Document Logical Structure Analysis Based on Perceptive Cycles,
DAS06(117-128).
Springer DOI 0602
BibRef
Earlier:
Data categorization for a context return applied to logical document structure recognition,
ICDAR05(I: 297-301).
IEEE DOI 0508
BibRef

Zhang, X., Hu, X., Hu, T., Park, E.K., Zhou, X.,
Utilizing Different Link Types to Enhance Document Clustering Based on Markov Random Field Model With Relaxation Labeling,
SMC-A(42), No. 5, September 2012, pp. 1167-1182.
IEEE DOI 1208
BibRef

Lee, I.[Ingyu], On, B.W.[Byung-Won],
An effective web document clustering algorithm based on bisection and merge,
AIR(36), No. 1, June 2011, pp. 69-85.
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Nielsen, F.,
Jeffreys Centroids: A Closed-Form Expression for Positive Histograms and a Guaranteed Tight Approximation for Frequency Histograms,
SPLetters(20), No. 7, 2013, pp. 657-660.
IEEE DOI 1307
document handling; document classification BibRef

Sun, M.[Ming], Priebe, C.E.[Carey E.],
Efficiency investigation of manifold matching for text document classification,
PRL(34), No. 11, 1 August 2013, pp. 1263-1269.
Elsevier DOI 1306
Manifold matching; MDS Procrustes; CCA; JOFC; Efficiency; Classification BibRef

Shen, C.C.[Cen-Cheng], Vogelstein, J.T.[Joshua T.], Priebe, C.E.[Carey E.],
Manifold matching using shortest-path distance and joint neighborhood selection,
PRL(92), No. 1, 2017, pp. 41-48.
Elsevier DOI 1705
Nonlinear transformation BibRef

Cote, M.[Melissa], Albu, A.B.[Alexandra Branzan],
Texture sparseness for pixel classification of business document images,
IJDAR(17), No. 3, September 2014, pp. 257-273.
WWW Link. 1408
BibRef
And:
Sparseness-Based Descriptors for Texture Segmentation,
ICPR14(1108-1113)
IEEE DOI 1412
Accuracy BibRef

Delaye, A.[Adrien], Lee, K.[Kibok],
A flexible framework for online document segmentation by pairwise stroke distance learning,
PR(48), No. 4, 2015, pp. 1197-1210.
Elsevier DOI 1502
Document analysis and recognition BibRef

Tran, T.A.[Tuan Anh], Na, I.S.[In Seop], Kim, S.H.[Soo Hyung],
Page segmentation using minimum homogeneity algorithm and adaptive mathematical morphology,
IJDAR(19), No. 3, September 2016, pp. 191-209.
Springer DOI 1609
BibRef

Dai-Ton, H.[Ha], Duc-Dung, N.[Nguyen], Duc-Hieu, L.[Le],
An adaptive over-split and merge algorithm for page segmentation,
PRL(80), No. 1, 2016, pp. 137-143.
Elsevier DOI 1609
Document analysis and recognition BibRef

Dey, S.[Soumyadeep], Mukherjee, J.[Jayanta], Sural, S.[Shamik],
Consensus-based clustering for document image segmentation,
IJDAR(19), No. 4, December 2016, pp. 351-368.
Springer DOI 1611
BibRef

Forczmanski, P.[Pawel], Markiewicz, A.[Andrzej],
Two-stage approach to extracting visual objects from paper documents,
MVA(27), No. 8, November 2016, pp. 1243-1257.
Springer DOI 1612
BibRef
Earlier: A2, A1:
Detection and Classification of Interesting Parts in Scanned Documents by Means of AdaBoost Classification and Low-Level Features Verification,
CAIP15(II:529-540).
Springer DOI 1511
BibRef

Eskenazi, S.[Sébastien], Gomez-Krämer, P.[Petra], Ogier, J.M.[Jean-Marc],
A comprehensive survey of mostly textual document segmentation algorithms since 2008,
PR(64), No. 1, 2017, pp. 1-14.
Elsevier DOI 1701
Document BibRef

Quirós, L.[Lorenzo], Martínez-Hinarejos, C.D.[Carlos D.], Toselli, A.H.[Alejandro H.], Vidal, E.[Enrique],
Interactive Layout Detection,
IbPRIA17(161-168).
Springer DOI 1706
BibRef

Drira, F.[Fadoua], Le Bourgeois, F.[Frank],
Mean-Shift segmentation and PDE-based nonlinear diffusion: Toward a common variational framework for foreground/background document image segmentation,
IJDAR(20), No. 3, September 2017, pp. 201-222.
Springer DOI 1708
BibRef

Drira, F.[Fadoua], Le Bourgeois, F.[Franck],
Denoising Textual Images Using Local/Non-local Smoothing Filters: A Comparative Study,
FHR12(521-526).
IEEE DOI 1302
BibRef

Drira, F.[Fadoua], Le Bourgeois, F.[Frank], Emptoz, H.[Hubert],
A Coupled Mean Shift-Anisotropic Diffusion Approach for Document Image Segmentation and Restoration,
ICDAR07(814-818).
IEEE DOI 0709
BibRef

Zhang, Y., Er, M.J., Zhao, R., Pratama, M.,
Multiview Convolutional Neural Networks for Multidocument Extractive Summarization,
Cyber(47), No. 10, October 2017, pp. 3230-3242.
IEEE DOI 1709
Computational modeling, Data mining, Feature extraction, Machine learning, Neural networks, Semantics, Convolutional neural networks (CNNs), deep learning, multidocument summarization (MDS), multiview learning, word, embedding BibRef

Zhu, A.[Anna], Zhang, C.[Chen], Li, Z.[Zhi], Xiong, S.[Shengwu],
Coarse-to-fine document localization in natural scene image with regional attention and recursive corner refinement,
IJDAR(22), No. 3, September 2019, pp. 351-360.
Springer DOI 1909
BibRef

Binmakhashen, G.M.[Galal M.], Mahmoud, S.A.[Sabri A.],
Document Layout Analysis: A Comprehensive Survey,
Surveys(52), No. 6, October 2019, pp. xx-yy.
DOI Link 2001
Survey, Document Layout. document structure analysis, Document segmentation, layout analysis, document image retrieval, document image understanding BibRef

Lu, T.[Tan], Dooms, A.[Ann],
Probabilistic homogeneity for document image segmentation,
PR(109), 2021, pp. 107591.
Elsevier DOI 2009
Probabilistic local text homogeneity, Random walk-and-check simulation, Bayesian cue integration, Document image segmentation BibRef

Li, Y.J.[Yu-Jie], Zhang, P.F.[Peng-Fei], Xu, X.[Xing], Lai, Y.[Yi], Shen, F.M.[Fu-Min], Chen, L.J.[Li-Jiang], Gao, P.X.[Peng-Xiang],
Few-shot prototype alignment regularization network for document image layout segementation,
PR(115), 2021, pp. 107882.
Elsevier DOI 2104
Meta-learning, Few-shot learning, Metric learning, Semantic segmentation BibRef

Raman, N.[Natraj], Shah, S.[Sameena], Veloso, M.[Manuela],
Synthetic document generator for annotation-free layout recognition,
PR(128), 2022, pp. 108660.
Elsevier DOI 2205
Synthetic image generation, Bayesian network, Layout analysis BibRef

Xu, J.S.[Jian-Shuang], Klein, J.[Johannes], Jochims, J.[Jörn], Weissner, N.[Niklas], Kays, R.[Rüdiger],
A reliable and unobtrusive approach to display area detection for imperceptible display camera communication,
JVCIR(85), 2022, pp. 103510.
Elsevier DOI 2205
Whiteboard scanning. Display area detection, Display camera communication, Rectangle detection, Pattern recognition, Visible light communication BibRef

Pisaneschi, L.[Lorenzo], Gemelli, A.[Andrea], Marinai, S.[Simone],
Automatic generation of scientific papers for data augmentation in document layout analysis,
PRL(167), 2023, pp. 38-44.
Elsevier DOI 2303
Document layout analysis, Transformers, Automatic document generation, Deep learning, Generative models BibRef

Wang, C.J.[Chao-Jie], Chen, B.[Bo], Duan, Z.B.[Zhi-Bin], Chen, W.C.[Wen-Chao], Zhang, H.[Hao], Zhou, M.Y.[Ming-Yuan],
Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning,
PAMI(45), No. 4, April 2023, pp. 4586-4604.
IEEE DOI 2303
Probabilistic logic, Computational modeling, Semantics, Analytical models, Task analysis, Vocabulary, Data models, variational autoencoder BibRef

Mishra, P.[Prerna],
Domain adaptive learning for document layout analysis and object detection using classifier alignment mechanism,
SP:IC(116), 2023, pp. 116986.
Elsevier DOI 2307
Domain adaptation, Document object detection, Layout analysis, Classifier alignment, Deep neural network BibRef

Fei, Y.F.[Yue-Fan], Xu, X.L.[Xiao-Long],
GFMRC: A machine reading comprehension model for named entity recognition,
PRL(172), 2023, pp. 97-105.
Elsevier DOI 2309
Named entity recognition, Machine reading comprehension, Feature extraction, Context BibRef

Guo, P.C.[Peng-Cheng], Song, Y.H.[Yong-Hong], Deng, Y.[Yongbiao], Xie, K.K.[Kang-Kang], Xu, M.J.[Ming-Jie], Liu, J.H.[Jia-Hao], Ren, H.J.[Hai-Jun],
DCMAI: A Dynamical Cross-Modal Alignment Interaction Framework for Document Key Information Extraction,
CirSysVideo(34), No. 1, January 2024, pp. 504-517.
IEEE DOI 2401
BibRef

Qiao, L.[Liang], Li, C.[Can], Cheng, Z.Z.[Zhan-Zhan], Xu, Y.L.[Yun-Lu], Niu, Y.[Yi], Li, X.[Xi],
Reading order detection in visually-rich documents with multi-modal layout-aware relation prediction,
PR(150), 2024, pp. 110314.
Elsevier DOI 2403
Document understanding, Reading order detection, Layout-aware positional embedding BibRef

Wang, J.W.[Jia-Wei], Hu, K.[Kai], Zhong, Z.[Zhuoyao], Sun, L.[Lei], Huo, Q.[Qiang],
Detect-order-construct: A tree construction based approach for hierarchical document structure analysis,
PR(156), 2024, pp. 110836.
Elsevier DOI 2408
Document layout analysis, Table of contents, Reading order prediction, Page object detection BibRef

van Landeghem, J.[Jordy], Biswas, S.[Sanket], Blaschko, M.[Matthew], Moens, M.F.[Marie-Francine],
Beyond Document Page Classification: Design, Datasets, and Challenges,
WACV24(2950-2960)
IEEE DOI 2404
Noise, Benchmark testing, Complexity theory, Calibration, Task analysis, Algorithms, Datasets and evaluations, Algorithms, Vision + language and/or other modalities BibRef

Cheng, H.[Hiuyi], Zhang, P.[Peirong], Wu, S.[Sihang], Zhang, J.X.[Jia-Xin], Zhu, Q.Y.[Qi-Yuan], Xie, Z.C.[Ze-Cheng], Li, J.[Jing], Ding, K.[Kai], Jin, L.W.[Lian-Wen],
M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis,
CVPR23(15138-15147)
IEEE DOI 2309
BibRef