23.4.6.3.3 On-Line Cursive Script Recognition Systems

Chapter Contents (Back)
Recognize Handwriting. Cursive Character Recognition. Online Systems. Online Handwriting.

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.
WWW Link. 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.
WWW Link. 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.
WWW Link. 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.
WWW Link. 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.
WWW Link. BibRef 9303

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.
WWW Link. 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.
WWW Link. 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.
WWW Link. 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.
WWW Link. 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.
WWW Link. 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.
WWW Link. See also Signature identification through the use of deformable structures. BibRef 9811

Pavlidis, I., Papanikolopoulos, N.P., Singh, R.,
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.
WWW Link. 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.
WWW Link. 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.
WWW Link. 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., 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

Khare, V., Shivakumara, P., Navya, B.J., Swetha, G.C., Guru, D.S., Pal, U., Lu, T.,
Weighted-Gradient Features for Handwritten Line Segmentation,
ICPR18(3651-3656)
IEEE DOI 1812
Image segmentation, Image edge detection, Linearity, Writing, Morphological operations, Handwriting recognition, Text line segmentation 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
BibRef

Hu, R.[Rui], Watt, S.M.[Stephen M.],
Optimization of Point Selection on Digital Ink Curves,
FHR12(527-532).
IEEE DOI 1302
BibRef

Mazalov, V.[Vadim], Watt, S.M.[Stephen M.],
Recognition of Relatively Small Handwritten Characters or 'Size Matters',
FHR12(319-324).
IEEE DOI 1302
BibRef

Mazalov, V.[Vadim], Watt, S.M.[Stephen M.],
A Structure for Adaptive Handwriting Recognition,
FHR12(692-697).
IEEE DOI 1302
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

Guest, R.M.[Richard M.],
PENTOOLS: A MATLAB Toolkit for On-line Pen-Based Data Experimentation,
ICDAR09(1221-1225).
IEEE DOI 0907
BibRef

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
BibRef

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
BibRef

Ding, K.[Kai], Jin, L.W.[Lian-Wen],
Incremental MQDF Learning for Writer Adaptive Handwriting Recognition,
FHR10(559-564).
IEEE DOI 1011
BibRef

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
BibRef

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 .


Last update:Jan 25, 2019 at 17:55:53