24.4.6.3.3 On-Line Cursive Script Recognition Systems

Leedham, C.G., Downton, A.C.,
Automatic Recognition and Transcription of Pitman's Handwritten Shorthand: An Approach to Shortforms,
PR(20), No. 3, 1987, pp. 341-348.
Elsevier DOI 0309
BibRef
Earlier:
On-Line Recognition of Shortforms in Pitman's Handwritten Shorthand,
ICPR84(1058-1060). BibRef

Shojima, H.[Hiroshi], Mifune, T.[Toshimi], Mori, J.[Junko], Kuzunuki, S.[Soshiro],
Method and apparatus for on-line recognizing handwritten patterns,
US_Patent4,718,103, January 5, 1988.
WWW Link. Angular variation between adjacent segments. BibRef 8801

Tappert, C.C., Suen, C.Y., and Wakahara, T.,
The State of the Art in On-Line Handwriting Recognition,
PAMI(12), No. 8, August 1990, pp. 787-808.
IEEE DOI BibRef 9008
And: IBMRC 14045. BibRef
And:
On-Line Handwriting Recognition: A Survey,
ICPR88(II: 1123-1132).
IEEE DOI 8811
Survey, Handwriting. Handwriting, Survey. BibRef

Suen, C.Y., Kim, J., Kim, K., Xu, Q., Lam, L.,
Handwriting Recognition: The Last Frontiers,
ICPR00(Vol IV: 1-10).
IEEE DOI 0009
Survey and review of handwriting work. BibRef

Fujisaki, T., Cheefalas, T., Kim, J., Tappert, C.C., and Wolf, C.,
On-Line Run-On Character Recognizer: Design and Performance,
PRAI(5), Nos. 1-2, 1991, pp. 123-137. BibRef 9100

Fujisaki, T., Chefalas, T.E., Kim, J., Tappert, C.C.,
Online recognizer for runon handprinted characters,
ICPR90(I: 450-454).
IEEE DOI 9006
BibRef

Odaka, K., Arakawa, H., and Masuda, I.,
On-Line Recognition of Handwritten Characters by Approximating Each Stroke with Several Points,
SMC(12), No. 6, 1982, pp. 898-903. BibRef 8200

Arakawa, H.[Hiroki],
On-Line Recognition of Handwritten Characters: Alphanumerics, Hiragana, Katakana, Kanji,
PR(16), No. 1, 1983, pp. 9-21.
Elsevier DOI 0309
BibRef

Wakahara, T., Murase, H., and Odaka, K.,
On-Line Handwriting Recognition,
PIEEE(80), No. 7, July 1992, pp. 1181-1194.
IEEE Top Reference. BibRef 9207

Qiao, Y.Z.[Yi-Zheng], Leedham, G.[Graham],
Segmentation and Recognition of Handwritten Pitman Shorthand Outlines Using an Interactive Heuristic Search,
PR(26), No. 3, March 1993, pp. 433-441.
Elsevier DOI 0401
BibRef

Ma, Y.[Yang], Leedham, G.[Graham], Higgins, C.[Colin], Htwe, S.M.[Swe Myo],
Segmentation and recognition of phonetic features in handwritten Pitman shorthand,
PR(41), No. 4, April 2008, pp. 1280-1294.
Elsevier DOI 0801
Pitman shorthand; Vocalized outline; Shortform; Segmentation; Classification BibRef

Htwe, S.M.[Swe Myo], Higgins, C., Leedham, G., Yang, M.[Ma],
Transliteration of online handwritten phonetic Pitman's shorthand with the use of a Bayesian network,
ICDAR05(II: 1090-1094).
IEEE DOI 0508
BibRef

Yang, M.[Ma], Leedham, G., Higgins, C., Htwe, S.M.[Swe Myo],
Segmentation and recognition of vocalized outlines in Pitman shorthand,
ICPR04(I: 441-444).
IEEE DOI 0409
BibRef

Schomaker, L.R.B.,
Using Stroke or Character-Based Self-Organizing Maps in the Recognition of On-Line, Connected Cursive Script,
PR(26), No. 3, March 1993, pp. 443-450.
Elsevier DOI BibRef 9303

Schomaker, L.R.B.,
Retrieval of Handwritten Lines in Historical Documents,
ICDAR07(594-598).
IEEE DOI 0709
BibRef

Simard, B.[Bruno], Prasada, B.[Birendra], Sinha, R.M.K.[R. Mahesh K.],
On-line character recognition using handwriting modelling,
PR(26), No. 7, July 1993, pp. 993-1007.
Elsevier DOI 0401
BibRef

Bellegarda, E.J., Bellegarda, J.R., Nahamoo, D., Nathan, K.S.,
A Fast Statistical Mixture Algorithm For Online Handwriting Recognition,
PAMI(16), No. 12, December 1994, pp. 1227-1233.
IEEE DOI BibRef 9412

Nouboud, F., Plamondon, R.,
On-Line Recognition of Handprinted Characters: Survey and Beta Tests,
PR(23), No. 9, 1990, pp. 1031-1044.
Elsevier DOI BibRef 9000
Earlier: A2, A1:
Online character recognition system using string comparison processor,
ICPR90(I: 460-463).
IEEE DOI 9006
Survey, Handwriting. BibRef

Seni, G., Srihari, R.K., Nasrabadi, N.,
Large Vocabulary Recognition Of Online Handwritten Cursive Words,
PAMI(18), No. 7, July 1996, pp. 757-762.
IEEE DOI 9608
BibRef

Seni, G., Nasrabadi, N.,
An On-Line Cursive Word Recognition System,
CVPR94(404-410).
IEEE DOI Cursive Script. BibRef 9400

Chen, W.T.[Wen-Tsuen], Chou, T.R.[Tzren-Ru],
A Hierarchical Deformation Model For Online Cursive Script Recognition,
PR(27), No. 2, February 1994, pp. 205-219.
Elsevier DOI BibRef 9402
Earlier: ICPR92(II:195-199).
IEEE DOI 9208
BibRef

Chou, T.R., Chen, W.T.,
A Stochastic Representation of Cursive Chinese Characters for Online Recognition,
PR(30), No. 6, June 1997, pp. 903-920.
Elsevier DOI 9706
BibRef

Morasso, P.G., Limoncelli, M., Morchio, M.,
Incremental Learning-Experiments with Scriptor: An Engine for Online Recognition of Cursive Handwriting,
MVA(8), No. 4, 1995, pp. 206-214.
Springer DOI BibRef 9500

Schenkel, M., Guyon, I., Henderson, D.,
Online Cursive Script Recognition Using Time-Delay Neural Networks and Hidden Markov-Models,
MVA(8), No. 4, 1995, pp. 215-223.
Springer DOI BibRef 9500

Nishida, H.,
An Approach to Integration of Off-Line and Online Recognition of Handwriting,
PRL(16), No. 11, November 1995, pp. 1213-1219. BibRef 9511

Ulgen, F., Akamatsu, N., Iwasa, T.,
The Hypercube Separation Algorithm: A Fast And Efficient Algorithm for Online Handwritten Character-Recognition,
AppIntel(6), No. 2, April 1996, pp. 101-116. 9605
BibRef

Hu, J.Y.[Jian-Ying], Brown, M.K.[Michael K.], Turin, W.L.[William L.],
HMM Based Online Handwriting Recognition,
PAMI(18), No. 10, October 1996, pp. 1039-1045.
IEEE DOI 9611
BibRef
Earlier:
Invariant features for HMM based on-line handwriting recognition,
CIAP95(588-593).
Springer DOI 9509
BibRef

Duneau, L., Dorizzi, B.,
Online Cursive Script Recognition: A User-Adaptive System for Word Identification,
PR(29), No. 12, December 1996, pp. 1981-1994.
Elsevier DOI 9701
BibRef
Earlier:
On-line cursive script recognition: a system that adapts to an unknown user,
ICPR94(B:24-28).
IEEE DOI 9410
BibRef

Sin, B.K.[Bong-Kee], Kim, J.H.[Jin H.],
Ligature Modeling for Online Cursive Script Recognition,
PAMI(19), No. 6, June 1997, pp. 623-633.
IEEE DOI 9708
BibRef
And: Correction: PAMI(19), No. 8, August 1997, pp. 926-926.
IEEE DOI 9709
93% on unconstrained samples. BibRef

Lee, S.H., Kim, J.H.,
Augmenting the Discrimination Power of HMM by NN for Online Cursive Script Recognition,
AppIntel(7), No. 4, November 1997, pp. 305-314. 9712
BibRef

Kim, J.H.[Jin Ho], Kim, K.K.[Kye Kyung], Suen, C.Y.[Ching Y.],
An HMM-MLP Hybrid Model for Cursive Script Recognition,
PAA(3), No. 4, 2000, pp. 314-324.
Springer DOI 0103
BibRef

Cote, M.[Myriam], Lecolinet, E., Cheriet, M., and Suen, C.Y.,
Automatic Reading of Cursive Scripts Using a Reading Model and Perceptual Concepts,
IJDAR(1), No. 1, Spring 1998, pp. xx-yy. BibRef 9800
Earlier: A1, A3, A4, A2:
Automatic Reading of Cursive Scripts Using Human Knowledge,
ICDAR97(107-111).
IEEE DOI 9708
BibRef

Pavlidis, I.[Ioannis], Singh, R.[Rahul], Papanikolopoulos, N.P.[Nikolaos P.],
On-line handwriting recognition using physics-based shape metamorphosis,
PR(31), No. 11, November 1998, pp. 1589-1600.
Elsevier DOI
See also Signature identification through the use of deformable structures. BibRef 9811
Earlier: A1, A3, A2:
Recognition of On-Line Handwritten Patterns Through Shape Metamorphosis,
ICPR96(III: 18-22).
IEEE DOI 9608
(Univ. of Minnesota, USA) BibRef

Pavlidis, I.[Ioannis],
Physics Based Methodologies for Recognizing Handwritten Signatures, Words, and Line Drawings,
Ph.D.Thesis, Univ. on MN. 1996. Follow:
WWW Link. BibRef 9600

Pavlidis, I., Singh, R., Papanikolopoulos, N.P.,
An On-Line Handwritten Note Recognition Method Using Shape Metamorphosis,
ICDAR97(914-918).
IEEE DOI 9708
BibRef

Singh, R.[Rahul], Papanikolopoulos, N.P.[Nikolaos P.],
Planar shape recognition by shape morphing,
PR(33), No. 10, October 2000, pp. 1683-1699.
Elsevier DOI 0006
BibRef

Li, X.L., Parizeau, M., Plamondon, R.,
Segmentation and Reconstruction of Online Handwritten Scripts,
PR(31), No. 6, June 1998, pp. 675-684.
Elsevier DOI 9806
BibRef

Parizeau, M., Plamondon, R.,
Machine vs humans in a cursive script reading experiment without linguistic knowledge,
ICPR94(B:93-98).
IEEE DOI 9410
BibRef

Plamondon, R., Clergeau, S., Barriere, C.,
Handwritten sentence recognition: from signal to syntax,
ICPR94(B:117-122).
IEEE DOI 9410
BibRef

Sin, B.K., Ha, J.Y., Oh, S.C., Kim, J.H.,
Network-Based Approach to Online Cursive Script Recognition,
SMC-B(29), No. 2, April 1999, pp. 321.
IEEE Top Reference. BibRef 9904

Connell, S.D.[Scott D.], Jain, A.K.[Anil K.],
Template-based online character recognition,
PR(34), No. 1, January 2001, pp. 1-14.
Elsevier DOI 0010
BibRef

Connell, S.D., Jain, A.K.,
Writer Adaptation for Online Handwriting Recognition,
PAMI(24), No. 3, March 2002, pp. 329-346.
IEEE DOI 0202
BibRef

Connell, S.D.[Scott D.], Jain, A.K.[Anil K.],
Learning Prototypes for On-Line Handwritten Digits,
ICPR98(Vol I: 182-184).
IEEE DOI 9808
BibRef

Garcia-Salicetti, S.[Sonia], Dorizzi, B.[Bernadette], Gallinari, P.[Patrick], Wimmer, Z.[Zsolt],
Maximum mutual information training for an online neural predictive handwritten word recognition system,
IJDAR(4), No. 1, 2001, pp. 56-68.
Springer DOI 0111
BibRef
Earlier:
Adaptive Discrimination in an HMM-Based Neural Predictive System for On-Line Word Recognition,
ICPR96(IV: 515-519).
IEEE DOI 9608
(LAFORIA, F) BibRef

Pittman, J.A.[James A.],
Handwriting Recognition: Tablet PC Text Input,
Computer(40), No. 9, September 2007, pp. 49-54.
IEEE DOI 0709
To support wide range of styles of cursive. BibRef

Liwicki, M.[Marcus], Bunke, H.[Horst],
Combining diverse on-line and off-line systems for handwritten text line recognition,
PR(42), No. 12, December 2009, pp. 3254-3263.
Elsevier DOI 0909
BibRef
Earlier:
Combining On-Line and Off-Line Systems for Handwriting Recognition,
ICDAR07(372-376).
IEEE DOI 0709
On-line handwriting recognition; Off-line handwriting recognition; Multiple classifier combination; Hidden Markov models; Bidirectional long short-term memory networks BibRef

Liwicki, M.[Marcus], Bunke, H.[Horst], Pittman, J.A.[James A.], Knerr, S.[Stefan],
Combining diverse systems for handwritten text line recognition,
MVA(22), No. 1, January 2011, pp. 39-51.
WWW Link. 1101
BibRef

Indermühle, E.[Emanuel], Liwicki, M.[Marcus], Bunke, H.[Horst],
Combining Alignment Results for Historical Handwritten Document Analysis,
ICDAR09(1186-1190).
IEEE DOI 0907
BibRef

Schenk, J.[Joachim], Lenz, J.[Johannes], Rigoll, G.[Gerhard],
Novel script line identification method for script normalization and feature extraction in on-line handwritten whiteboard note recognition,
PR(42), No. 12, December 2009, pp. 3383-3393.
Elsevier DOI 0909
BibRef
Earlier: A1, A3, Only:
Neural net vector quantizers for discrete HMM-based on-line handwritten whiteboard-note recognition,
ICPR08(1-4).
IEEE DOI 0812
On-line handwriting recognition; Whiteboard note recognition; Line-member; Script line identification; Preprocessing; Script normalization BibRef

Schenk, J.[Joachim], Hörnler, B.[Benedikt], Schuller, B.[Björn], Braun, A.[Artur], Rigoll, G.[Gerhard],
GMs in On-Line Handwritten Whiteboard Note Recognition: The Influence of Implementation and Modeling,
ICDAR09(877-880).
IEEE DOI 0907
BibRef

Schenk, J.[Joachim], Rigoll, G.[Gerhard],
Selecting Features Using the SFS in Conjunction with Vector Quantization,
FHR10(471-476).
IEEE DOI 1011
BibRef

Schenk, J.[Joachim], Kaiser, M.[Moritz], Rigoll, G.[Gerhard],
Selecting Features in On-Line Handwritten Whiteboard Note Recognition: SFS or SFFS?,
ICDAR09(1251-1254).
IEEE DOI 0907
BibRef

Schenk, J.[Joachim], Schwärzler, S.[Stefan], Ruske, G.[Günther], Rigoll, G.[Gerhard],
Novel VQ Designs for Discrete HMM On-Line Handwritten Whiteboard Note Recognition,
DAGM08(xx-yy).
Springer DOI 0806
BibRef

Toselli, A.H.[Alejandro H.], Romero, V.[Veronica], Pastor, M.[Moises], Vidal, E.[Enrique],
Multimodal interactive transcription of text images,
PR(43), No. 5, May 2010, pp. 1814-1825.
Elsevier DOI 1003
Multimodal interactive pattern recognition; Computer assisted transcription; Handwritten text recognition BibRef

Martín-Albo, D.[Daniel], Romero, V.[Verónica], Toselli, A.H.[Alejandro H.], Vidal, E.[Enrique],
Character-Level Interaction in Multimodal Computer-Assisted Transcription of Text Images,
IbPRIA11(684-691).
Springer DOI 1106
BibRef
Earlier: A2, A3, A4, Only:
Character-Level Interaction in Computer-Assisted Transcription of Text Images,
FHR10(539-544).
IEEE DOI 1011
BibRef
And:
Computer Assisted Transcription of Text Images: Results on the GERMANA Corpus and Analysis of Improvements Needed for Practical Use,
ICPR10(2017-2020).
IEEE DOI 1008
BibRef

Alabau, V.[Vicent], Martínez-Hinarejos, C.D.[Carlos-D.], Romero, V.[Verónica], Lagarda, A.L.[Antonio-L.],
An iterative multimodal framework for the transcription of handwritten historical documents,
PRL(35), No. 1, 2014, pp. 195-203.
Elsevier DOI 1312
Ancient text transcription BibRef

Granell, E.[Emilio], Martínez-Hinarejos, C.D.[Carlos D.],
Multimodal Output Combination for Transcribing Historical Handwritten Documents,
CAIP15(I:246-260).
Springer DOI 1511
BibRef

Romero, V.[Verónica], Toselli, A.H.[Alejandro H.], Rodríguez, L.[Luis], Vidal, E.[Enrique],
Computer Assisted Transcription for Ancient Text Images,
ICIAR07(1182-1193).
Springer DOI 0708
BibRef
And: A2, A1, A3, A4:
Computer Assisted Transcription of Handwritten Text Images,
ICDAR07(944-948).
IEEE DOI 0709

See also Computer Assisted Transcription of Speech. BibRef

Pastor, M., Toselli, A.H., Vidal, E.,
Writing speed normalization for on-line handwritten text recognition,
ICDAR05(II: 1131-1135).
IEEE DOI 0508
BibRef

Romro, V.[Verónica], Toselli, A.H.[Alejandro H.], Vidal, E.[Enrique],
Using Mouse Feedback in Computer Assisted Transcription of Handwritten Text Images,
ICDAR09(96-100).
IEEE DOI 0907
BibRef

Toselli, A.H.[Alejandro Héctor], Pastor, M.[Moisés], Juan, A.[Alfons], Vidal, E.[Enrique],
Spontaneous Handwriting Text Recognition and Classification Using Finite-State Models,
IbPRIA05(II:363).
Springer DOI 0509
BibRef

Toselli, A.H., Juan, A., Vidal, E.,
Spontaneous handwriting recognition and classification,
ICPR04(I: 433-436).
IEEE DOI 0409
BibRef

España-Boquera, S., Castro-Bleda, M.J., Gorbe-Moya, J., Zamora-Martínez, F.,
Improving Offline Handwritten Text Recognition with Hybrid HMM/ANN Models,
PAMI(33), No. 4, April 2011, pp. 767-779.
IEEE DOI 1103
BibRef
Earlier: A1, A3, A4, A2:
Hybrid HMM/ANN Models for Bimodal Online and Offline Cursive Word Recognition,
ICPR-Contests10(14-21).
Springer DOI 1008
For unconstrained offline texts. Remove slope, slant and normalize size. BibRef

Castro-Bleda, M.J.[María José], España-Boquera, S.[Salvador], Gorbe-Moya, J.[Jorge], Zamora-Martínez, F.[Francisco], Llorens-Piñana, D.[David], Marzal-Varó, A.[Andrés], Prat-Villar, F.[Federico], Vilar-Torres, J.M.[Juan Miguel],
Improving a DTW-Based Recognition Engine for On-line Handwritten Characters by Using MLPs,
ICDAR09(1260-1264).
IEEE DOI 0907
BibRef

Delaye, A.[Adrien], Anquetil, E.[Eric],
HBF49 feature set: A first unified baseline for online symbol recognition,
PR(46), No. 1, January 2013, pp. 117-130.
Elsevier DOI 1209
Feature extraction; Online sketch recognition; Graphics recognition; Symbol recognition; Pen-based gesture; Handwriting recognition; Benchmarking BibRef

Srihari, S.N.[Sargur N.], Singer, K.[Kirsten],
Role of Automation in the Examination of Handwritten Items,
PR(47), No. 3, 2014, pp. 1083-1095.
Elsevier DOI 1312
BibRef
Earlier: FHR12(619-624).
IEEE DOI 1302
Handwriting examination BibRef

Martín-Albo, D.[Daniel], Romero, V.[Verónica], Vidal, E.[Enrique],
Escritoire: A Multi-touch Desk with e-Pen Input for Capture, Management and Multimodal Interactive Transcription of Handwritten Documents,
IbPRIA15(471-478).
Springer DOI 1506
BibRef
Earlier:
Interactive Off-Line Handwritten Text Transcription Using On-Line Handwritten Text as Feedback,
ICDAR13(1280-1284)
IEEE DOI 1312
handwritten character recognition BibRef

Romero, V.[Veronica], Sanchez, J.A.[Joan Andreu], Bosch, V.[Vicente], Depuydt, K.[Katrien], de Does, J.[Jesse],
Influence of text line segmentation in Handwritten Text Recognition,
ICDAR15(536-540)
IEEE DOI 1511
BibRef

Tanha, J., de Does, J.[Jesse], Depuydt, K.[Katrien], Sanchez, J.A.[Joan Andreu],
Crossing the lines: making optimal use of context in line-based Handwritten Text Recognition,
ICDAR15(956-960)
IEEE DOI 1511
Domain adaptation BibRef

Romero, V.[Verónica], Alabau, V.[Vicente], Benedí, J.M.[Jose Miguel],
Combination of N-Grams and Stochastic Context-Free Grammars in an Offline Handwritten Recognition System,
IbPRIA07(I: 467-474).
Springer DOI 0706

See also Consistency of Stochastic Context-Free Grammars from Probabilistic Estimation Based on Growth Transformations. BibRef

Degtyarenko, I.[Illya], Radyvonenko, O.[Olga], Bokhan, K.[Kostiantyn], Khomenko, V.[Viacheslav],
Text/shape classifier for mobile applications with handwriting input,
IJDAR(19), No. 4, December 2016, pp. 369-379.
Springer DOI 1611
BibRef

Carmona-Duarte, C.[Cristina], Ferrer, M.A.[Miguel A.], Parziale, A.[Antonio], Marcelli, A.[Angelo],
Temporal evolution in synthetic handwriting,
PR(68), No. 1, 2017, pp. 233-244.
Elsevier DOI 1704
Handwriting BibRef

Ferrer, M.A.[Miguel A.], Diaz, M., Carmona-Duarte, C.[Cristina], Morales, A.,
A Behavioral Handwriting Model for Static and Dynamic Signature Synthesis,
PAMI(39), No. 6, June 2017, pp. 1041-1053.
IEEE DOI 1705
Analytical models, Databases, Forgery, Morphology, Motor drives, Synthesizers, Trajectory, Biometric recognition, kinematic theory of human movement, motor equivalence theory, on-line and off-line synthetic generation, signature, verification BibRef

Mandal, S.[Subhasis], Mahadeva Prasanna, S.R., Sundaram, S.[Suresh],
An improved discriminative region selection methodology for online handwriting recognition,
IJDAR(22), No. 1, January 2019, pp. 1-14.
Springer DOI 1903
BibRef

Mandal, S., Choudhury, H., Mahadeva Prasanna, S.R., Sundaram, S.,
Exploring Discriminative HMM States for Improved Recognition of Online Handwriting,
ICPR18(3753-3758)
IEEE DOI 1812
Hidden Markov models, Character recognition, Databases, Feature extraction, Handwriting recognition, Task analysis, Shape BibRef

Choudhury, H.[Himakshi], Prasanna, S.R.M.[S.R. Mahadeva],
Handwriting recognition using sinusoidal model parameters,
PRL(121), 2019, pp. 87-96.
Elsevier DOI 1904
Online handwriting recognition, Sinusoidal model, UNIPEN, Word recognition BibRef

Simonnet, D.[Damien], Girard, N.[Nathalie], Anquetil, E.[Eric], Renault, M.[Mickaël], Thomas, S.[Sébastien],
Evaluation of children cursive handwritten words for e-education,
PRL(121), 2019, pp. 133-139.
Elsevier DOI 1904
Handwriting quality evaluation, Handwriting analysis, Handwriting learning BibRef

de Stefano, C.[Claudio], Fontanella, F.[Francesco], Marcelli, A.[Angelo], Plamondon, R.[Réjean],
Graphonomics for the e-citizens: e-health, e-society and e-education,
PRL(121), 2019, pp. 1-5.
Elsevier DOI 1904
BibRef

Choudhury, H.[Himakshi], Prasanna, S.R.M.[S.R. Mahadeva],
Representation of online handwriting using multi-component sinusoidal model,
PR(91), 2019, pp. 200-215.
Elsevier DOI 1904
Sinusoidal/oscillatory model, Handwriting synthesis, Sinusoidal features, Handwriting recognition BibRef

Rehman, A.[Amjad],
An ensemble of neural networks for nonlinear segmentation of overlapped cursive script,
IJCVR(10), No. 4, 2020, pp. 275-288.
DOI Link 2007
BibRef

Kumar Bhunia, A., Bhowmick, A., Kumar Bhunia, A., Konwer, A., Banerjee, P., Pratim Roy, P., Pal, U.,
Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network,
ICPR18(3639-3644)
IEEE DOI 1812
Feature extraction, Trajectory, Decoding, Data mining, Hidden Markov models, Character recognition, Deep Learning BibRef

Martin-Albo, D.[Daniel], Plamondon, R.[Rejean], Vidal, E.[Enrique],
Improving sigma-lognormal parameter extraction,
ICDAR15(286-290)
IEEE DOI 1511
rapid human movements for handwriting. BibRef

Aggarwal, R.[Rajat], Swetha, S.[Sirnam], Namboodiri, A.M.[Anoop M.], Sivaswamy, J.[Jayanthi], Jawahar, C.V.,
Online handwriting recognition using depth sensors,
ICDAR15(1061-1065)
IEEE DOI 1511
BibRef

Raje, S.[Surabhi], Mehrotra, K.[Kapil], Belhe, S.[Swapnil],
Writer adaptation of online handwritten recognition using Adaptive RBF Network,
ICDAR15(691-695)
IEEE DOI 1511
ARBFN BibRef

Reinders, C., Baumann, F., Scheuermann, B., Ehlers, A., Mühlpforte, N., Effenberg, A.O., Rosenhahn, B.,
On-The-Fly Handwriting Recognition Using a High-Level Representation,
CAIP15(I:1-13).
Springer DOI 1511
BibRef

Das, A., Bhattacharya, U.,
ISIgraphy: A tool for online handwriting sample database generation,
NCVPRIPG13(1-4)
IEEE DOI 1408
Android (operating system) BibRef

Panwar, S., Nain, N.,
Cursive stroke sequencing for handwritten text documents recognition,
NCVPRIPG13(1-4)
IEEE DOI 1408
document image processing BibRef

Shibata, T., Tonouchi, Y., Kubota, S., Nakai, T., Yamaji, Y.,
Fast and Memory Efficient Online Handwritten Strokes Retrieval Using Binary Descriptor,
ACPR13(647-651)
IEEE DOI 1408
document handling BibRef

Avola, D.[Danilo], Cinque, L.[Luigi], Levialdi, S.[Stefano], Petracca, A.[Andrea], Placidi, G.[Giuseppe], Spezialetti, M.[Matteo],
Innovative On-line Handwriting Identification Algorithm Based on Stroke Features,
CompIMAGE14(400-411).
Springer DOI 1407
BibRef

Prum, S., Visani, M., Fischer, A., Ogier, J.M.,
A Discriminative Approach to On-Line Handwriting Recognition Using Bi-character Models,
ICDAR13(364-368)
IEEE DOI 1312
dynamic programming BibRef

Chowdhury, S.D., Bhattacharya, U., Parui, S.K.,
Online Handwriting Recognition Using Levenshtein Distance Metric,
ICDAR13(79-83)
IEEE DOI 1312
feature extraction BibRef

Li, J.P.[Jin-Peng], Mouchere, H., Viard-Gaudin, C., Chen, Z.X.[Zhao-Xin],
A Multi-stroke Dynamic Time Warping Distance Based on A* Optimization,
ICDAR13(1330-1334)
IEEE DOI 1312
handwriting recognition BibRef

Renau-Ferrer, N.[Ney], Li, P.[Peiyu], Delaye, A.[Adrien], Anquetil, E.[Eric],
The ILGDB database of realistic pen-based gestural commands,
ICPR12(3741-3744).
WWW Link. 1302
BibRef

Otte, S.[Sebastian], Krechel, D.[Dirk], Liwicki, M.[Marcus], Dengel, A.R.[Andreas R.],
Local Feature Based Online Mode Detection with Recurrent Neural Networks,
FHR12(533-537).
IEEE DOI 1302
BibRef

Li, J.P.[Jin-Peng], Mouchere, H.[Harold], Viard-Gaudin, C.[Christian],
Reducing Annotation Workload Using a Codebook Mapping and Its Evaluation in On-Line Handwriting,
FHR12(752-757).
IEEE DOI 1302
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Hu, R.[Rui], Watt, S.M.[Stephen M.],
Optimization of Point Selection on Digital Ink Curves,
FHR12(527-532).
IEEE DOI 1302
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Mazalov, V.[Vadim], Watt, S.M.[Stephen M.],
Recognition of Relatively Small Handwritten Characters or 'Size Matters',
FHR12(319-324).
IEEE DOI 1302
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Mazalov, V.[Vadim], Watt, S.M.[Stephen M.],
A Structure for Adaptive Handwriting Recognition,
FHR12(692-697).
IEEE DOI 1302
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Aradhya, V.N.M.[V N. Manjunath], Niranjan, S.K.,
Analysis of Different Subspace Mixture Models in Handwriting Recognition,
FHR12(670-674).
IEEE DOI 1302
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Dutta, D., Chowdhury, A.R.[A. Roy], Bhattacharya, U.[Ujjwal], Parui, S.K.[Swapan Kumar],
Building a Personal Handwriting Recognizer on an Android Device,
FHR12(686-691).
IEEE DOI 1302
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Zou, Y.M.[Yan-Ming], Liu, Y.F.[Ying-Fei], Liu, Y.[Ying], Wang, K.Q.[Kong-Qiao],
Overlapped Handwriting Input on Mobile Phones,
ICDAR11(369-373).
IEEE DOI 1111
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Haddad, L.[Lobna], Hamdani, T.M.[Tarek M.], Kherallah, M.[Monji], Alimi, A.M.[Adel M.],
Improvement of On-line Recognition Systems Using a RBF-Neural Network Based Writer Adaptation Module,
ICDAR11(284-288).
IEEE DOI 1111
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Luangvilay, P.[Pasitthideth], Zhu, B.L.[Bi-Lan], Nakagawa, M.[Masaki],
An On-line Handwritten Text Search Method Based on Directional Feature Matching,
ICDAR11(683-686).
IEEE DOI 1111
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Guest, R.M.[Richard M.],
PENTOOLS: A MATLAB Toolkit for On-line Pen-Based Data Experimentation,
ICDAR09(1221-1225).
IEEE DOI 0907
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Iwata, K.[Kazumasa], Kise, K.[Koichi], Nakai, T.[Tomohiro], Iwamura, M.[Masakazu], Uchida, S.[Seiichi], Omachi, S.[Shinichiro],
Capturing Digital Ink as Retrieving Fragments of Document Images,
ICDAR09(1236-1240).
IEEE DOI 0907
Use a camera to locate the pen tip rather than special pen. BibRef

Peña-Saldarriaga, S.[Sebastián], Morin, E.[Emmanuel], Viard-Gaudin, C.[Christian],
Using top n Recognition Candidates to Categorize On-line Handwritten Documents,
ICDAR09(881-885).
IEEE DOI 0907
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Perraud, F., Viard-Gaudin, C., Morin, E., Lallican, P.M.,
N-gram and N-class models for on line handwriting recognition,
ICDAR03(1053-1057).
IEEE DOI 0311
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Ding, K.[Kai], Jin, L.W.[Lian-Wen],
Incremental MQDF Learning for Writer Adaptive Handwriting Recognition,
FHR10(559-564).
IEEE DOI 1011
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Huang, Z.B.[Zhi-Bin], Ding, K.[Kai], Jin, L.W.[Lian-Wen], Gao, X.[Xue],
Writer Adaptive Online Handwriting Recognition Using Incremental Linear Discriminant Analysis,
ICDAR09(91-95).
IEEE DOI 0907
BibRef

Izadi, S.[Sara], Suen, C.Y.[Ching Y.],
Integration of Contextual Information in Online Handwriting Representation,
CIAP09(132-142).
Springer DOI 0909
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Tonouchi, Y., Kawamura, A.,
Text Input System Using Online Overlapped Handwriting Recognition for Mobile Devices,
ICDAR07(754-758).
IEEE DOI 0709
BibRef

Boubaker, H., Kherallah, M.[Monji], Alimi, A.M.[Adel M.],
New Strategy for the On-Line Handwriting Modelling,
ICDAR07(1233-1247).
IEEE DOI 0709
BibRef

Qiao, Y.[Yu], Yasuhara, M.[Makoto],
Recover Writing Trajectory from Multiple Stroked Image Using Bidirectional Dynamic Search,
ICPR06(II: 970-973).
IEEE DOI 0609
BibRef
And:
Reccovering Drawing Order from Offline Handwritten Image Using Direction Context and Optimal Euler Path,
ICASSP06(xx-yy) BibRef

Qiao, Y.[Yu], Yasuhara, M.[Makoto],
Recovering Dynamic Information from Static Handwritten Images,
FHR04(118-123). BibRef 0400

Alahari, K.[Karteek], Putrevu, S.L.[Satya Lahari], Jawahar, C.V.,
Learning Mixtures of Offline and Online features for Handwritten Stroke Recognition,
ICPR06(III: 379-382).
IEEE DOI 0609
BibRef
Earlier:
Discriminant substrokes for online handwriting recognition,
ICDAR05(I: 499-503).
IEEE DOI 0508
BibRef

Qiao, Y.[Yu], Yasuhara, M.[Makoto],
Affine Invariant Dynamic Time Warping and its Application to Online Rotated Handwriting Recognition,
ICPR06(II: 905-908).
IEEE DOI 0609
BibRef

Wang, J.,
Pen computing: digital ink and printed document,
ICDAR05(I: 334).
IEEE DOI 0508
BibRef

Roy, V.[Vandana], Madhvanath, S.[Sriganesh], Anand, S., Sharma, R.R.[Ragunath R.],
A Framework for Adaptation of the Active-DTW Classifier for Online Handwritten Character Recognition,
ICDAR09(401-405).
IEEE DOI
PDF File. 0907
BibRef

Bharath, A., Madhvanath, S.[Sriganesh],
A Framework Based on Semi-Supervised Clustering for Discovering Unique Writing Styles,
ICDAR09(891-895).
IEEE DOI 0907
BibRef

Bharath, A., Deepu, V., Madhvanath, S.,
An approach to identify unique styles in online handwriting recognition,
ICDAR05(II: 775-778).
IEEE DOI 0508
BibRef

Raghavendra, B.S., Narayanan, C.K., Sita, G., Ramakrishnan, A.G., Sriganesh, M.,
Prototype learning methods for online handwriting recognition,
ICDAR05(I: 287-291).
IEEE DOI 0508
BibRef

Rodríguez, J.A.[Jose A.], Sánchez, G.[Gemma], Lladós, J.[Josep],
Rejection Strategies Involving Classifier Combination for Handwriting Recognition,
IbPRIA07(II: 97-104).
Springer DOI 0706
BibRef

Mas-Romeu, J.[Joan], Sánchez, G.[Gemma], Lladós, J.[Josep],
An Adjacency Grammar to Recognize Symbols and Gestures in a Digital Pen Framework,
IbPRIA05(II:115).
Springer DOI 0509
BibRef

Bontempi, B., Marcelli, A.,
A genetic learning system for on-line character recognition,
ICPR94(B:83-87).
IEEE DOI 9410
BibRef

Mouchere, H., Anquetil, E., Ragot, N.,
On-line writer adaptation for handwriting recognition using fuzzy inference systems,
ICDAR05(II: 1075-1079).
IEEE DOI 0508
BibRef

Grandidier, F., Sabourin, R., Suen, C.Y.,
Integration of contextual information in handwriting recognition systems,
ICDAR03(1252-1256).
IEEE DOI 0311
BibRef

Grandidier, F., Sabourin, R., Gilloux, M., Suen, C.Y.,
An a priori indicator of the discrimination power of discrete hidden Markov models,
ICDAR01(350-354).
IEEE DOI 0109
BibRef

Ltaief, M.[Mahmoud], Bezine, H.[Hala], Alimi, A.M.[Adel M.],
A Neuro-beta-Elliptic Model for Handwriting Generation Movements,
FHR12(803-808).
IEEE DOI 1302
BibRef

Bezine, H., Alimi, A.M., Derbel, N.,
Handwriting trajectory movements controlled by a Beta-elliptic model,
ICDAR03(1228-1232).
IEEE DOI 0311
BibRef

Tan, G.X.[Guo Xian], Viard-Gaudin, C.[Christian], Kot, A.C.[Alex C.],
Information Retrieval Model for Online Handwritten Script Identification,
ICDAR09(336-340).
IEEE DOI 0907
BibRef

Feng, C.H.[Chun-Hua], Woch, A., Plamondon, W.,
A comparative study of two velocity profile models for rapid stroke analysis,
ICPR02(IV: 52-55).
IEEE DOI 0211
BibRef

Yang, S.[Su], Dai, G.Z.[Guo-Zhong],
Detecting dominant point on on-line scripts with a simple approach,
FHR02(351-356).
IEEE Top Reference. 0209
BibRef

Bahlmann, C., Burkhardt, H.,
Measuring HMM similarity with the Bayes probability of error and its application to online handwriting recognition,
ICDAR01(406-411).
IEEE DOI 0109
BibRef

Nagabhushan, P., Murali, S.,
Pitman Shorthand inspired model for plain text compression,
ICDAR01(322-326).
IEEE DOI 0109
BibRef

Oh, J.[Jong], Geiger, D.[Davi],
An On-Line Handwriting Recognition System using Fisher Segmental Matching and Hypotheses Propagation Network,
CVPR00(II: 343-348).
IEEE DOI 0005
BibRef

Takahashi, K., Yasuda, H., Matsumoto, T.,
A Fast HMM Algorithm for On-Line Handwritten Character Recognition,
ICDAR97(369-375).
IEEE DOI 9708

See also HMM On-line Signature Verification Algorithm, An. BibRef

Hasegawa, T., Akamatsu, K., Matsumoto, T.,
A Bayesian bi-gram scheme for HMM online handwriting recognition algorithm,
ICDAR01(1012-1016).
IEEE DOI 0109
BibRef

Hasegawa, T., Yasuda, H., Matsumoto, T.,
Fast Discrete HMM Algorithm for On-line Handwriting Recognition,
ICPR00(Vol IV: 535-538).
IEEE DOI 0009
BibRef

Hu, J.Y.[Jian-Ying], Rosenthal, A.S.[Amy S.], Brown, M.K.[Michael K.],
Combining high-level features with sequential local features for on-line handwriting recognition,
CIAP97(II: 647-654).
Springer DOI 9709
BibRef

Kimura, T.D.[Takayuki Dan],
Adaptive pen user interface with supervised competitive learning,
CIAP97(II: 713-718).
Springer DOI 9709
BibRef

Hu, J.Y.[Jian-Ying], Brown, M.K.[Michael K.],
On-Line Handwriting Recognition with Constrained N-Best Decoding,
ICPR96(III: 23-27).
IEEE DOI 9608
(ATT Bell Laboratories, USA) BibRef

Nathan, K., Subrahmonia, J., Perrone, M.,
Parameter Tying in Writer Dependent Recognition of On-Line Handwriting,
ICPR96(III: 28-32).
IEEE DOI 9608
(IBM T.J. Watson Research Ctr., USA) BibRef

Seiler, R., Schenkel, M.,
Off-Line Cursive Handwriting Recognition Compared with On-Line Recognition,
ICPR96(IV: 505-509).
IEEE DOI 9608
(Swiss Fed. Inst. of Technology, CH) BibRef

Schwenk, H., Milgram, M.,
Constraint Tangent Distance for On-Line Character Recognition,
ICPR96(IV: 520-524).
IEEE DOI 9608
(Univ. Paris, F) BibRef

Menier, G., Lorette, G., Gentric, P.,
A genetic algorithm for on-line cursive handwriting recognition,
ICPR94(B:522-525).
IEEE DOI 9410
BibRef

Beigi, H.S.M., Nathan, K., Clary, G.J., Subrahmonia, J.,
Size normalization in on-line unconstrained handwriting recognition,
ICIP94(I: 169-173).
IEEE DOI 9411
BibRef

Berthod, M., and Ahyan, S.,
On-line Cursive Script Recognition: A Structural Approach,
ICPR80(723-725). BibRef 8000

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