25.4.6.3.2 Cursive Script, Historical Documents, Text Line Segmentation, Script Line, Segmentation, Text Line Extraction

Madhvanath, S.[Sriganesh], Govindaraju, V.[Venu],
Local reference lines for handwritten phrase recognition,
PR(32), No. 12, December 1999, pp. 2021-2028.
Elsevier DOI
See also Role of Holistic Paradigms in Handwritten Word Recognition, The.
See also Holistic Verification of Handwritten Phrases. BibRef 9912

Wang, J.R., Leung, M.K.H., Hui, S.C.,
Cursive Word Reference Line Detection,
PR(30), No. 3, March 1997, pp. 503-511.
Elsevier DOI 9705
BibRef

Kolcz, A., Alspector, J., Augusteijn, M., Carlson, R., Popescu, G.V.[G. Viorel],
A Line-Oriented Approach to Word Spotting in Handwritten Documents,
PAA(3), No. 2, 2000, pp. 153-168. 0010
BibRef

Manmatha, R., Rothfeder, J.L.,
A Scale Space Approach for Automatically Segmenting Words from Historical Handwritten Documents,
PAMI(27), No. 8, August 2005, pp. 1212-1225.
IEEE Abstract. 0506
BibRef

Rothfeder, J.L.[Jamie L.], Manmatha, R., Rath, T.M.[Toni M.],
Aligning Transcripts to Automatically Segmented Handwritten Manuscripts,
DAS06(84-95).
Springer DOI 0602
BibRef

Likforman-Sulem, L.[Laurence], Zahour, A.[Abderrazak], Taconet, B.[Bruno],
Text line segmentation of historical documents: a survey,
IJDAR(9), No. 2-4, April 2007, pp. 123-138.
Springer DOI 0704
Survey, Text Extraction. BibRef

Li, Y.[Yi], Zheng, Y.F.[Ye-Feng], Doermann, D.S.[David S.], Jaeger, S.[Stefan],
Script-Independent Text Line Segmentation in Freestyle Handwritten Documents,
PAMI(30), No. 8, August 2008, pp. 1313-1329.
IEEE DOI 0806
BibRef
Earlier: A1, A2, A3, Only:
Detecting Text Lines in Handwritten Documents,
ICPR06(II: 1030-1033).
IEEE DOI 0609
BibRef

Louloudis, G., Gatos, B., Pratikakis, I.E., Halatsis, C.,
Text line detection in handwritten documents,
PR(41), No. 12, December 2008, pp. 3758-3772.
Elsevier DOI 0810
Document image analysis; Handwritten text; Hough transform; Text line detection; Connected component analysis BibRef

Louloudis, G., Gatos, B., Pratikakis, I.E., Halatsis, C.,
Text line and word segmentation of handwritten documents,
PR(42), No. 12, December 2009, pp. 3169-3183.
Elsevier DOI 0909
BibRef
Earlier: A1, A2, A4, Only:
Text Line Detection in Unconstrained Handwritten Documents Using a Block-Based Hough Transform Approach,
ICDAR07(599-603).
IEEE DOI 0709
Handwritten document image analysis; Hough transform; Text line segmentation; Word segmentation; Gaussian mixture modeling BibRef

Du, X.J.[Xiao-Jun], Pan, W.M.[Wu-Mo], Bui, T.D.[Tien D.],
Text Line Segmentation in Handwritten Documents Using Mumford-Shah Model,
PR(42), No. 12, December 2009, pp. 3136-3145.
Elsevier DOI 0909
Text line detection; Handwritten documents; Image segmentation; Mumford-Shah model
See also Image Segmentation and Selective Smoothing by Using Mumford-Shah Model. BibRef

Papavassiliou, V.[Vassilis], Stafylakis, T.[Themos], Katsouros, V.[Vassilis], Carayannis, G.[George],
Handwritten document image segmentation into text lines and words,
PR(43), No. 1, January 2010, pp. 369-377.
Elsevier DOI 0909
Handwritten text line segmentation; Handwritten word segmentation; Document image processing; Viterbi estimation; Support vector machines BibRef

Alaei, A.[Alireza], Pal, U.[Umapada], Nagabhushan, P.,
A new scheme for unconstrained handwritten text-line segmentation,
PR(44), No. 4, April 2011, pp. 917-928.
Elsevier DOI 1101
Handwritten document processing; Unconstrained handwritten line segmentation; Piece-wise painting; Mathematical morphology; Thinning BibRef

Ziaratban, M.[Majid], Faez, K.[Karim],
Adaptive Script-Independent Text Line Extraction,
IEICE(E94-D), No. 4, April 2011, pp. 866-877.
WWW Link. 1104
BibRef
Earlier:
An Adaptive Script-Independent Block-Based Text Line Extraction,
ICPR10(249-252).
IEEE DOI 1008
BibRef

Ouwayed, N.[Nazih], Belaïd, A.[Abdel],
A general approach for multi-oriented text line extraction of handwritten documents,
IJDAR(15), No. 4, December 2012, pp. 297-314.
WWW Link. 1212
BibRef

Adiguzel, H.[Hande], Sahin, E.[Emre], Duygulu, P.[Pinar],
A Hybrid for Line Segmentation in Handwritten Documents,
FHR12(503-508).
IEEE DOI 1302
BibRef

Saabni, R.M.[Raid M.], Asi, A.[Abedelkadir], El-Sana, J.[Jihad],
Text line extraction for historical document images,
PRL(35), No. 1, 2014, pp. 23-33.
Elsevier DOI 1312
Seam carving BibRef

Ryu, J.[Jewoong], Koo, H.I.[Hyung Il], Cho, N.I.[Nam Ik],
Language-Independent Text-Line Extraction Algorithm for Handwritten Documents,
SPLetters(21), No. 9, Sept 2014, pp. 1115-1119.
IEEE DOI 1406
Cost function BibRef

Ryu, J.[Jewoong], Koo, H.I.[Hyung Il], Cho, N.I.[Nam Ik],
Word Segmentation Method for Handwritten Documents based on Structured Learning,
SPLetters(22), No. 8, August 2015, pp. 1161-1165.
IEEE DOI 1502
handwritten character recognition BibRef

Ziran, Z.[Zahra], Pic, X.[Xavier], Undri Innocenti, S.[Simone], Mugnai, D.[Daniele], Marinai, S.[Simone],
Text alignment in early printed books combining deep learning and dynamic programming,
PRL(133), 2020, pp. 109-115.
Elsevier DOI 2005
Dynamic programming, Early printed books, Faster R-CNN, Object detection BibRef

Paulus, E.[Erick], Burie, J.C.[Jean-Christophe], Verbeek, F.J.[Fons J.],
Text line extraction strategy for palm leaf manuscripts,
PRL(174), 2023, pp. 10-16.
Elsevier DOI 2310
Text line extraction, Line segmentation, Seam carving BibRef

Barakat, B.K.[Berat Kurar], Droby, A.[Ahmad], Alaasam, R.[Reem], Madi, B.[Boraq], Rabaev, I.[Irina], Shammes, R.[Raed], El-Sana, J.[Jihad],
Unsupervised deep learning for text line segmentation,
ICPR21(2304-2311)
IEEE DOI 2105
Deep learning, Image segmentation, Annotations, Graphics processing units, Prediction algorithms, Convergence BibRef

Barakat, B.K.[Berat Kurar], Droby, A.[Ahmad], Alaasam, R.[Reem], Madi, B.[Boraq], Rabaev, I.[Irina], El-Sana, J.[Jihad],
Text Line Extraction Using Fully Convolutional Network and Energy Minimization,
PATRECH20(126-140).
Springer DOI 2103
BibRef

Swaileh, W.[Wassim], Mohand, K.A.[Kamel Ait], Paquet, T.[Thierry],
Multi-script iterative steerable directional filtering for handwritten text line extraction,
ICDAR15(1241-1245)
IEEE DOI 1511
BibRef

Murdock, M.[Michael], Reid, S.[Shawn], Hamilton, B.[Blaine], Reese, J.[Jackson],
ICDAR 2015 competition on text line detection in historical documents,
ICDAR15(1171-1175)
IEEE DOI 1511
ANDAR BibRef

Chen, K.[Kai], Wei, H.[Hao], Liwicki, M.[Marcus], Hennebert, J.[Jean], Ingold, R.[Rolf],
Robust Text Line Segmentation for Historical Manuscript Images Using Color and Texture,
ICPR14(2978-2983)
IEEE DOI 1412
Color BibRef

Morillot, O., Likforman-Sulem, L., Grosicki, E.,
Comparative Study of HMM and BLSTM Segmentation-Free Approaches for the Recognition of Handwritten Text-Lines,
ICDAR13(783-787)
IEEE DOI 1312
feature extraction BibRef

Cruz, F., Terrades, O.R.[O. Ramos],
Handwritten Line Detection via an EM Algorithm,
ICDAR13(718-722)
IEEE DOI 1312
document image processing BibRef

Diem, M., Kleber, F., Sablatnig, R.,
Text Line Detection for Heterogeneous Documents,
ICDAR13(743-747)
IEEE DOI 1312
document image processing BibRef

Cohen, R.[Rafi], Dinstein, I.[Itshak], El-Sana, J.[Jihad], Kedem, K.[Klara],
Using Scale-Space Anisotropic Smoothing for Text Line Extraction in Historical Documents,
ICIAR14(I: 349-358).
Springer DOI 1410
BibRef

Rabaev, I.[Irina], Biller, O.[Ofer], El-Sana, J.[Jihad], Kedem, K.[Klara], Dinstein, I.[Itshak],
Text Line Detection in Corrupted and Damaged Historical Manuscripts,
ICDAR13(812-816)
IEEE DOI 1312
document image processing
See also Case Study in Hebrew Character Searching.
See also WebGT: An Interactive Web-Based System for Historical Document Ground Truth Generation. BibRef

Baechler, M., Liwicki, M., Ingold, R.,
Text Line Extraction Using DMLP Classifiers for Historical Manuscripts,
ICDAR13(1029-1033)
IEEE DOI 1312
document image processing BibRef

Moysset, B., Kermorvant, C.,
On the Evaluation of Handwritten Text Line Detection Algorithms,
ICDAR13(185-189)
IEEE DOI 1312
document image processing BibRef

Panwar, S.[Subhash], Nain, N.[Neeta], Saxena, S.[Subhra],
Language Adaptive Methodology for Handwritten Text Line Segmentation,
CAIP13(344-351).
Springer DOI 1308
BibRef

Salvi, D., Zhou, J.[Jun], Waggoner, J.W., Wang, S.[Song],
Handwritten text segmentation using average longest path algorithm,
WACV13(505-512).
IEEE DOI 1303
BibRef

Clausner, C.[Christian], Antonacopoulos, A.[Apostolos], Pletschacher, S.[Stefan],
A robust hybrid approach for text line segmentation in historical documents,
ICPR12(335-338).
WWW Link. 1302
BibRef

Ben Messaoud, I.[Ines], Amiri, H.[Hamid], El Abed, H.[Haikal], Margner, V.[Volker],
A Multilevel Text-Line Segmentation Framework for Handwritten Historical Documents,
FHR12(515-520).
IEEE DOI 1302
BibRef

Chamchong, R.[Rapeeporn], Fung, C.C.[Chun Che],
Text Line Extraction Using Adaptive Partial Projection for Palm Leaf Manuscripts from Thailand,
FHR12(588-593).
IEEE DOI 1302
BibRef

Bosch, V.[Vicente], Toselli, A.H.[Alejandro Hector], Vidal, E.[Enrique],
Statistical Text Line Analysis in Handwritten Documents,
FHR12(201-206).
IEEE DOI 1302
BibRef

Kang, L.[Le], Kumar, J.[Jayant], Ye, P.[Peng], Doermann, D.S.[David S.],
Learning Text-Line Segmentation Using Codebooks and Graph Partitioning,
FHR12(63-68).
IEEE DOI 1302

See also Segmentation of Handwritten Textlines in Presence of Touching Components. BibRef

Yin, F.[Fei], Wang, Q.F.[Qiu-Feng], Liu, C.L.[Cheng-Lin],
Integrating Geometric Context for Text Alignment of Handwritten Chinese Documents,
FHR10(7-12).
IEEE DOI 1011
BibRef
Earlier:
A Tool for Ground-Truthing Text Lines and Characters in Off-Line Handwritten Chinese Documents,
ICDAR09(951-955).
IEEE DOI 0907

See also Improving Handwritten Chinese Text Recognition by Confidence Transformation. BibRef

Saabni, R.[Raid], El-Sana, J.[Jihad],
Language-Independent Text Lines Extraction Using Seam Carving,
ICDAR11(563-568).
IEEE DOI 1111
BibRef

Kim, M.W.[Min-Woo], Oh, I.S.[Il-Seok],
Script-Free Text Line Segmentation Using Interline Space Model for Printed Document Images,
ICDAR11(1354-1358).
IEEE DOI 1111
BibRef

Gao, Y.D.[Yang-Dong], Ding, X.Q.[Xiao-Qing], Liu, C.S.[Chang-Song],
A Multi-scale Text Line Segmentation Method in Freestyle Handwritten Documents,
ICDAR11(643-647).
IEEE DOI 1111
BibRef

Manohar, V.[Vasant], Vitaladevuni, S.N.[Shiv N.], Cao, H.[Huaigu], Prasad, R.[Rohit], Natarajan, P.[Prem],
Graph Clustering-Based Ensemble Method for Handwritten Text Line Segmentation,
ICDAR11(574-578).
IEEE DOI 1111
BibRef

Papavassiliou, V.[Vassilis], Simistira, F.[Fotini], Katsouros, V.[Vassilis], Carayannis, G.[George],
A Morphology Based Approach for Binarization of Handwritten Documents,
FHR12(577-581).
IEEE DOI 1302
BibRef

Papavassiliou, V.[Vassilis], Katsouros, V.[Vassilis], Carayannis, G.[George],
A Morphological Approach for Text-Line Segmentation in Handwritten Documents,
FHR10(19-24).
IEEE DOI 1011
BibRef

Gupta, J.D.[Jija Das], Chanda, B.[Bhabatosh],
A Model Based Text Line Segmentation Method for Off-line Handwritten Documents,
FHR10(125-129).
IEEE DOI 1011
BibRef

Lopresti, D.P.[Daniel P.], Kavallieratou, E.[Ergina],
Ruling Line Removal in Handwritten Page Images,
ICPR10(2704-2707).
IEEE DOI 1008
BibRef

Kasiviswanathan, H.[Harish], Ball, G.R.[Gregory R.], Srihari, S.N.[Sargur N.],
Top Down Analysis of Line Structure in Handwritten Documents,
ICPR10(2025-2028).
IEEE DOI 1008
BibRef

Bar-Yosef, I.[Itay], Hagbi, N.[Nate], Kedem, K.[Klara], Dinstein, I.[Itshak],
Line Segmentation for Degraded Handwritten Historical Documents,
ICDAR09(1161-1165).
IEEE DOI 0907
BibRef

Bukhari, S.S.[Syed Saqib], Shafait, F.[Faisal], Breuel, T.M.[Thomas M.],
Performance evaluation of curled textline segmentation algorithms on CBDAR 2007 dewarping contest dataset,
ICIP10(2161-2164).
IEEE DOI 1009
BibRef

Bukhari, S.S.[Syed Saqib], Shafait, F.[Faisal], Breuel, T.M.[Thomas M.],
Text-Line Extraction Using a Convolution of Isotropic Gaussian Filter with a Set of Line Filters,
ICDAR11(579-583).
IEEE DOI 1111
BibRef
Earlier:
Script-Independent Handwritten Textlines Segmentation Using Active Contours,
ICDAR09(446-450).
IEEE DOI 0907
BibRef

Yin, F.[Fei], Liu, C.L.[Cheng-Lin],
A Variational Bayes Method for Handwritten Text Line Segmentation,
ICDAR09(436-440).
IEEE DOI 0907
BibRef

Nicolaou, A.[Anguelos], Gatos, B.[Basilis],
Handwritten Text Line Segmentation by Shredding Text into its Lines,
ICDAR09(626-630).
IEEE DOI 0907
BibRef

Chaudhuri, B.B.[Bidyut Baran], Bera, S.[Sumedha],
Handwritten Text Line Identification in Indian Scripts,
ICDAR09(636-640).
IEEE DOI 0907
BibRef

Malleron, V.[Vincent], Eglin, V.[Veronique],
A Mixed Approach for Handwritten Documents Structural Analysis,
ICDAR11(269-273).
IEEE DOI 1111
BibRef

Malleron, V.[Vincent], Eglin, V.[Véronique], Emptoz, H.[Hubert], Dord-Crouslé, S.[Stéphanie], Régnier, P.[Philippe],
Text Lines and Snippets Extraction for 19th Century Handwriting Documents Layout Analysis,
ICDAR09(1001-1005).
IEEE DOI 0907
BibRef

Sanchez, A., Suarez, P.D., Mello, C.A.B., Oliveira, A.L.I., Alves, V.M.O.,
Text Line Segmentation in Images of Handwritten Historical Documents,
IPTA08(1-6).
IEEE DOI 0811
BibRef

Bertolami, R.[Roman], Bunke, H.[Horst],
Ensemble Methods to Improve the Performance of an English Handwritten Text Line Recognizer,
SACH06(xx-yy).
Springer DOI 0609
BibRef

Lu, S.J., Tan, C.L.,
Automatic Detection of Document Script and Orientation,
ICDAR07(237-241).
IEEE DOI 0709
BibRef

Xi, Y., Chen, Y., Liao, Q., Winghong, L., Shunming, F., Jiangwen, D.,
Character Line Segmentation Based on Feature Clustering,
ICDAR07(402-406).
IEEE DOI 0709
BibRef

Luthy, F., Varga, T., Bunke, H.,
Using Hidden Markov Models as a Tool for Handwritten Text Line Segmentation,
ICDAR07(8-8).
IEEE DOI 0709
BibRef

Bertolami, R., Uchida, S., Zimmermann, M., Bunke, H.,
Non-Uniform Slant Correction for Handwritten Text Line Recognition,
ICDAR07(18-22).
IEEE DOI 0709
BibRef

Nicolas, S.[Stéphane], Paquet, T.[Thierry], Heutte, L.[Laurent],
A Markovian Approach for Handwritten Document Segmentation,
ICPR06(III: 292-295).
IEEE DOI 0609
BibRef
And:
Complex Handwritten Page Segmentation Using Contextual Models,
DIAL06(46-59).
IEEE DOI 0604
BibRef

Garain, U., Parui, S., Paquet, T.[Thierry], Heutte, L.[Laurent],
Machine Dating of Handwritten Manuscripts,
ICDAR07(759-763).
IEEE DOI 0709
Analyze handwriting style. BibRef

Nicolas, S.[Stéphane], Paquet, T.[Thierry], Heutte, L.[Laurent],
Enriching Historical Manuscripts: The Bovary Project,
DAS04(135-146).
Springer DOI 0505
BibRef

Montreuil, F.[Florent], Nicolas, S.[Stéphane], Grosicki, E.[Emmanuèle], Heutte, L.[Laurent],
A New Hierarchical Handwritten Document Layout Extraction Based on Conditional Random Field Modeling,
FHR10(31-36).
IEEE DOI 1011
BibRef
Earlier: A1, A3, A4, A2:
Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields,
ICDAR09(853-857).
IEEE DOI 0907
BibRef

Nicolas, S., Kessentini, Y., Paquet, T., Heutte, L.,
Handwritten document segmentation using hidden Markov random fields,
ICDAR05(I: 212-216).
IEEE DOI 0508
BibRef

Lemaitre, A.[Aurélie], Camillerapp, J.[Jean],
Text Line Extraction in Handwritten Document with Kalman Filter Applied on Low Resolution Image,
DIAL06(38-45).
IEEE DOI 0604
BibRef

Kennard, D.J.[Douglas J.], Barrett, W.A.[William A.], Sederberg, T.W.[Thomas W.],
Word Warping for Offline Handwriting Recognition,
ICDAR11(1349-1353).
IEEE DOI 1111
BibRef

Kennard, D.J.[Douglas J.], Barrett, W.A.[William A.],
Separating Lines of Text in Free-Form Handwritten Historical Documents,
DIAL06(12-23).
IEEE DOI 0604
BibRef

Nwogu, I., Kim, G.H.[Gyeong-Hwan],
Word separation of unconstrained handwritten text lines in PCR forms,
ICDAR05(II: 715-719).
IEEE DOI 0508
BibRef

Gao, J., Ding, X.,
A Method for Segmentation of Cursive Handwritings and Its Application to Character Shape Extraction,
ICIP00(Vol II: 696-699).
IEEE DOI 0008
BibRef

Eastwood, B., Jennings, A.J., Harvey, A.,
A Low Level Feature Based Neural Network Segmenter for Fully Cursive Handwritten Words,
ICDAR97(Poste) 9708
In program, not in proceedings. BibRef

Li, T., Tang, Y.Y., Suen, S.C., Fang, L.Y., Jennings, A.J.,
A structurally adaptive neural tree for the recognition of large character set,
ICPR92(II:187-190).
IEEE DOI 9208
BibRef

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
On-Line Cursive Script Recognition Systems .