23.4.6.2.2 Online Recognition of Handwritten Characters

Chapter Contents (Back)
Handwriting. Online Systems.

Brown, R.M.,
On-Line Computer Recognition of Handprinted Characters,
TC(13), No. 6, December 1964, pp. 750-752. BibRef 6412

Brown, R.M.[Robert M.],
Handprinted symbol recognition system,
US_Patent4,491,960, Jan 1, 1985
WWW Link. BibRef 8501

Powers, V.M.[V. Michael],
Pen direction sequences in character recognition,
PR(5), No. 4, December 1973, pp. 291-302.
WWW Link. 0309
BibRef

Ito, M.R., Chui, T.L.,
On-line computer recognition of proposed standard ANSI(USASI) handprinted characters,
PR(10), No. 5-6, 1978, pp. 341-349.
WWW Link. 0309
BibRef

Berthod, M., Maroy, J.P.,
Learning in Syntactic Recognition of Symbols Drawn on a Graphic Tablet,
CGIP(9), No. 2, February 1979, pp. 166-182.
WWW Link. BibRef 7902

Duvernoy, J.,
Application of autoregressive models to the study of the temporal structure of a handwritten text,
PR(12), No. 2, 1980, pp. 89-96.
WWW Link. 0309
BibRef

Ikeda, K.[Katsuo], Yamamura, T.[Takashi], Mitamura, Y.[Yasumasa], Fujiwara, S.[Shiokazu], Tominaga, Y.[Yoshiharu], Kiyono, T.[Takeshi],
On-Line Recognition of Hand-Written Characters Utilizing Positional and Stroke Vector Sequences,
PR(13), No. 3, 1981, pp. 191-206.
WWW Link. 0309
BibRef

Steinke, K.[Karlo],
Recognition of writers by handwriting images,
PR(14), No. 1-6, 1981, pp. 357-364.
WWW Link. 0309
BibRef

Loy, W.W., and Landau, I.D.,
An On-Line Procedure for Recognition of Handprinted Alphanumeric Characters,
PAMI(4), No. 4, July 1982, pp. 422-427. BibRef 8207

Satoh, K.[Koji], Ooka, A.[Akihiro], Wada, Y.[Yutaka],
Character recognition apparatus,
US_Patent4,542,526, 09/17/1985.
HTML Version. From input stylus. BibRef 8509

Ooi, K.[Katsunori], Hidai, Y.[Yutaka], Kurosawa, Y.[Yoshiaki], Nakamura, Y.[Yoshikatsu],
Method and device for handwritten letter recognition,
US_Patent4,685,142, August 4, 1987
WWW Link. BibRef 8708

Kurosawa, Y.[Yoshiaki],
Similar Pattern Discrimination by Filter Mask Learning with Probabilistic Descent,
SCIA07(958-967).
Springer DOI 0706
Feature extraction in OCR. BibRef

Hidai, Y., Ooi, K., Nakamura, Y.,
Stroke Re-Ordering Algorithm for On-Line Handwritten Character Recognition,
ICPR86(934-936). BibRef 8600

Kerrick, D.D., Bovik, A.C.,
Microprocessor-Based Recognition of Handprinted Characters from a Tablet Input,
PR(21), No. 5, 1988, pp. 525-537.
WWW Link. BibRef 8800

Yang, L.P., Prasad, R.,
Online Recognition of Handwritten Characters Using Differential Angles and Structural Descriptors,
PRL(14), No. 12, December 1993, pp. 1019-1024. BibRef 9312

Veltman, S.R., Prasad, R.,
Hidden Markov Models Applied to On-Line Handwritten Isolated Character Recognition,
IP(3), No. 3, May 1994, pp. 314-318.
IEEE DOI BibRef 9405

Wilfong, G.T.[Gordon T.], Sinden, F.W.[Frank W.], Ruedisueli, L.,
Online Recognition of Handwritten Symbols,
PAMI(18), No. 9, September 1996, pp. 935-940.
IEEE DOI Template Matching. BibRef 9609

Sinden, F.W.[Frank W.], Wilfong, G.T.[Gordon T.],
Method of recognizing handwritten symbols,
US_Patent5,333,209, July 26, 1994.
WWW Link. BibRef 9407

Li, X.L., Yeung, D.Y.,
Online Handwritten Alphanumeric Character-Recognition Using Dominant Points in Strokes,
PR(30), No. 1, January 1997, pp. 31-44.
WWW Link. 9702
BibRef

Yaeger, L.S., Webb, B.J., Lyon, R.F.,
Combining Neural Networks and Context-Driven Search for Online, Printed Handwriting Recognition in the Newton,
AIMag(19), No. 1, Spring 1998, pp. 73-89. 9804
BibRef

Sanchez, E.G., Gonzalez, J.A.G., Dimitriadis, Y.A., Izquierdo, J.M.C., Coronado, J.L.,
Experimental Study of a Novel Neuro Fuzzy System for Online Handwritten Unipen Digit Recognition,
PRL(19), No. 3-4, March 1998, pp. 357-364. 9807
BibRef

Chan, K.F.[Kam-Fai], Yeung, D.Y.[Dit-Yan],
Recognizing on-line handwritten alphanumeric characters through flexible structural matching,
PR(32), No. 7, July 1999, pp. 1099-1114.
WWW Link. BibRef 9907
Earlier:
Elastic Structural Matching for On-Line Handwritten Alphanumeric Character Recognition,
ICPR98(Vol II: 1508-1511).
IEEE DOI 9808
BibRef

Chan, K.F.[Kam-Fai], Yeung, D.Y.[Dit-Yan],
PenCalc: a novel application of on-line mathematical expression recognition technology,
ICDAR01(774-778).
IEEE DOI 0109
BibRef

Okamoto, M.[Masayoshi], Yamamoto, K.[Kazuhiko],
On-line handwriting character recognition using direction-change features that consider imaginary strokes,
PR(32), No. 7, July 1999, pp. 1115-1128.
WWW Link. BibRef 9907

Okamoto, M.[Masayoshi], Nakamura, A.[Akira], Yamamoto, K.[Kazuhiko],
Direction-Change Features of Imaginary Strokes for On-Line Handwriting Character Recognition,
ICPR98(Vol II: 1747-1751).
IEEE DOI 9808
BibRef

Okamoto, M., Yamamoto, K.,
Online Handwriting Character Recognition Method Using Directional and Direction-Change Features,
PRAI(13), No. 7, November 1999, pp. 1041. 0005
BibRef

Okamoto, M., Yamamoto, K.,
On-Line Handwriting Character Recognition Method with Directional Features and Direction-Change Features,
ICDAR97(926-930).
IEEE DOI 9708
BibRef

Hu, J.Y.[Jian-Ying], Lim, S.G.[Sok Gek], Brown, M.K.[Michael K.],
Writer independent on-line handwriting recognition using an HMM approach,
PR(33), No. 1, January 2000, pp. 133-147.
WWW Link. 0005
BibRef

Kobayashi, M., Masaki, S., Miyamoto, O., Nakagawa, Y., Komiya, Y., Matsumoto, T.,
RAV (Reparameterized Angle Variations) Algorithm for Online Handwriting Recognition,
IJDAR(3), No. 3, 2001, pp. 181-191.
Springer DOI 0105
BibRef
Earlier: A2, A1, A3, A4, A6, Only:
An On-Line Handwriting Character Recognition Algorithm RAV (Reparameterized Angle Variations),
ICDAR97(919-925).
IEEE DOI 9708
BibRef

Jaeger, S., Manke, S., Reichert, J., Waibel, A.,
Online Handwriting Recognition: The NPen++ Recognizer,
IJDAR(3), No. 3, 2001, pp. 169-180.
Springer DOI 0105
BibRef

Manke, S., Finke, M., Waibel, A.,
Combining bitmaps with dynamic writing information for on-line handwriting recognition,
ICPR94(B:596-598).
IEEE DOI 9410
BibRef

Jaeger, S., Nakagawa, M.,
The Callpaper Concept: Turning Paper into Computer Terminals,
ICDAR03(1065-1069).
IEEE DOI 0311
BibRef

Vuori, V.[Vuokko], Laaksonen, J.T.[Jorma T.], Kangas, J.[Jari],
Influence of erroneous learning samples on adaptation in on-line handwriting recognition,
PR(35), No. 4, April 2002, pp. 915-925.
WWW Link. 0201
BibRef

Vuori, V., Laaksonen, J.T.,
A comparison of techniques for automatic clustering of handwritten characters,
ICPR02(III: 168-171).
IEEE DOI 0211
BibRef

Vuori, V., Laaksonen, J.T., Oja, E., Kangas, J.,
Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters,
IJDAR(3), No. 3, 2001, pp. 150-159.
Springer DOI 0105
BibRef
And:
Speeding up on-line recognition of handwritten characters by pruning the prototype set,
ICDAR01(501-505).
IEEE DOI 0109
BibRef
Earlier:
Controlling On-line Adaptation of a Prototype-based Classifier for Handwritten Characters,
ICPR00(Vol II: 331-334).
IEEE DOI 0009
BibRef

Bouwhuisen, C.F.[Chris F.], Meulenbroek, R.G.J.[Ruud G.J.], Thomassen, A.J.W.M.[Arnold J.W.M.],
A 3D motion-tracking method in graphonomic research: possible applications in future handwriting recognition studies,
PR(35), No. 5, May 2002, pp. 1039-1047.
WWW Link. 0202
BibRef

Djeziri, S., Guerfali, W., Plamondon, R., Robert, J.M.,
Learning handwriting with pen-based systems: computational issues,
PR(35), No. 5, May 2002, pp. 1049-1057.
WWW Link. 0202
BibRef

Shin, J.P.[Jung-Pil],
Optimal stroke-correspondence search method for on-line character recognition,
PRL(23), No. 5, March 2002, pp. 601-608.
Elsevier DOI 0202
BibRef

Chang, W.D.[Won-Du], Shin, J.P.[Jung-Pil],
A statistical handwriting model for style-preserving and variable character synthesis,
IJDAR(15), No. 1, March 2012, pp. 1-19.
WWW Link. 1203
BibRef

Uchida, S.[Seiichi], Sakoe, H.[Hiroaki],
Eigen-deformations for elastic matching based handwritten character recognition,
PR(36), No. 9, September 2003, pp. 2031-2040.
WWW Link. 0307
BibRef
And:
Handwritten character recognition using elastic matching based on a class-dependent deformation model,
ICDAR03(163-167).
IEEE DOI 0311
BibRef
Earlier:
A handwritten character recognition method based on unconstrained elastic matching and eigen-deformations,
FHR02(72-77).
IEEE Top Reference. 0209
BibRef
Earlier:
Piecewise Linear Two-dimensional Warping,
ICPR00(Vol III: 534-537).
IEEE DOI 0009
BibRef

Uchida, S.[Seiichi], Sakoe, H.[Hiroaki],
A Survey of Elastic Matching Techniques for Handwritten Character Recognition,
IEICE(E88-D), No. 8, August 2005, pp. 1781-1790.
DOI Link 0508
Survey, Character Recognition. BibRef

Mitoma, H., Uchida, S.[Seiichi], Sakoe, H.[Hiroaki],
Online character recognition based on elastic matching and quadratic discrimination,
ICDAR05(I: 36-40).
IEEE DOI 0508
BibRef

Ronee, M.A., Uchida, S.[Seiichi], Sakoe, H.[Hiroaki],
Handwritten character recognition using piecewise linear two-dimensional warping,
ICDAR01(39-43).
IEEE DOI 0109
BibRef

Uchida, S., Ronee, M.A., Sakoe, H.,
Using eigen-deformations in handwritten character recognition,
ICPR02(I: 572-575).
IEEE DOI 0211
BibRef

Matsumoto, N., Uchida, S., Sakoe, H.,
Prototype setting for elastic matching-based image pattern recognition,
ICPR04(I: 224-227).
IEEE DOI 0409
BibRef

Artières, T., Gauthier, N., Gallinari, P., Dorizzi, B.[Bernadette],
A Hidden Markov Models combination framework for handwriting recognition,
IJDAR(5), No. 4, July 2003, pp. 233-243.
Springer DOI 0308
BibRef

Marukatat, S., Artieres, T., Gallinari, P., Dorizzi, B.[Bernadette],
Rejection measures for handwriting sentence recognition,
FHR02(24-29).
IEEE Top Reference. 0209
BibRef
Earlier:
Sentence recognition through hybrid neuro-Markovian modeling,
ICDAR01(731-735).
IEEE DOI 0109
BibRef

Artieres, T.[Thierry], Marukatat, S.[Sanparith], and Gallinari, P.[Patrick],
Online Handwritten Shape Recognition Using Segmental Hidden Markov Models,
PAMI(29), No. 2, February 2007, pp. 205-217.
IEEE DOI 0701
Learning without tuning, from few samples, and incremental learning. Apply to Latin and Asian characters plus other symbols, and shapes. BibRef

Do, T.M.T.[Trinh Minh Tri], Artieres, T.[Thierry],
Learning mixture models with support vector machines for sequence classification and segmentation,
PR(42), No. 12, December 2009, pp. 3224-3230.
Elsevier DOI 0909
On-line handwriting recognition; Hidden Markov models; Support vector machine; Mixture modeling; Sequence segmentation BibRef

Vinel, A.[Antoine], Artières, T.[Thierry],
Maximizing Edit Distance Accuracy with Hidden Conditional Random Fields,
CAIP13(45-53).
Springer DOI 1308
BibRef

Vinel, A.[Antoine], Do, T.M.T.[Trinh Minh Tri], Artieres, T.[Thierry],
Joint Optimization of Hidden Conditional Random Fields and Non Linear Feature Extraction,
ICDAR11(513-517).
IEEE DOI 1111
BibRef

Gauthier, N., Artieres, T., Dorizzi, B., Gallinari, P.,
Strategies for combining on-line and off-line information in an on-line handwriting recognition system,
ICDAR01(412-416).
IEEE DOI 0109
BibRef

Artières, T., Marchand, J., Gallinari, P., Dorizzi, B.,
Multi-modal Segmental Models for On-line Handwriting Recognition,
ICPR00(Vol II: 247-250).
IEEE DOI 0009
BibRef

Sicard, R.[Rudy], Artieres, T.[Thierry],
Modelling sequences using pairwise relational features,
PR(42), No. 9, September 2009, pp. 1922-1931.
Elsevier DOI 0905
Sequence modelling; Relational features; Pairwise dependencies; Robust segmentation; Partial matching; Recognition; Handwriting BibRef

Marukatat, S., Sicard, R., Artieres, T., Gallinari, P.,
A flexible recognition engine for complex on-line handwritten character recognition,
ICDAR03(1048-1052).
IEEE DOI 0311
BibRef

Artieres, T., Gallinari, P.,
Stroke level HMMs for on-line handwriting recognition,
FHR02(227-232).
IEEE Top Reference. 0209
BibRef

Binsztok, H.[Henri], Artières, T.[Thierry],
Learning Model Structure from Data: An Application to On-Line Handwriting,
ELCVIA(5), No. 2, 2005, pp. 30-46.
WWW Link. 0505
BibRef

Bahlmann, C.[Claus], Burkhardt, H.[Hans],
The Writer Independent Online Handwriting Recognition System Frog On Hand and Cluster Generative Statistical Dynamic Time Warping,
PAMI(26), No. 3, March 2004, pp. 299-310.
IEEE Abstract. 0402
Frog On Hand is the name of the system. HMM based method. Statistical Dynamic Time Warping. BibRef

Bahlmann, C., Haasdonk, B., Burkhardt, H.,
On-line handwriting recognition with support vector machines: A kernel approach,
FHR02(49-54).
IEEE Top Reference. 0209
BibRef

Bahlmann, C.[Claus],
Directional features in online handwriting recognition,
PR(39), No. 1, January 2006, pp. 115-125.
WWW Link. 0512
BibRef

Wienecke, M.[Markus], Fink, G.A.[Gernot A.], Sagerer, G.[Gerhard],
Toward automatic video-based whiteboard reading,
IJDAR(7), No. 2-3, July 2005, pp. 188-200.
Springer DOI 0508
BibRef
Earlier:
Towards automatic video-based whiteboard reading,
ICDAR03(87-91).
IEEE DOI 0311
BibRef
Earlier:
A Handwriting Recognition System Based on Visual Input,
CVS01(63-72).
Springer DOI 0106
BibRef
Earlier: A2, A1, A3:
Video-based on-line handwriting recognition,
ICDAR01(226-230).
IEEE DOI 0109
BibRef

Vajda, S.[Szilárd], Rothacker, L.[Leonard], Fink, G.A.[Gernot A.],
A Method for Camera-Based Interactive Whiteboard Reading,
CBDAR11(112-125).
Springer DOI 1204
BibRef

Fink, G.A.[Gernot A.], Plötz, T.[Thomas],
On appearance-based feature extraction methods for writer-independent handwritten text recognition,
ICDAR05(II: 1070-1074).
IEEE DOI 0508
BibRef

Oudot, L.[Loïc], Prevost, L.[Lionel], Milgram, M.[Maurice],
Self-supervised adaptation for on-line script text recognition,
ELCVIA(5), No. 2, 2005, pp. 87-97.
WWW Link. BibRef 0500
Earlier:
Dynamic recognition in the omni-writer frame: Application to hand-printed text recognition,
ICDAR01(1035-1039).
IEEE DOI 0109
See also Hybrid generative/discriminative classifier for unconstrained character recognition. BibRef

Oudot, L., Prevost, L., Moises, A., Milgram, M.,
Self-supervised writer adaptation using perceptive concepts: application to on-line text recognition,
ICPR04(II: 598-601).
IEEE DOI 0409
BibRef

Biem, A.[Alain],
Minimum Classification Error Training for Online Handwriting Recognition,
PAMI(28), No. 7, July 2006, pp. 1041-1051.
IEEE DOI 0606
BibRef
Earlier:
A Model Selection Criterion for Classification: Application to HMM Topology Optimization,
ICDAR03(104-108).
IEEE DOI 0311
BibRef
Minimum classification error training for online handwritten word recognition,
FHR02(61-66).
IEEE Top Reference. 0209
17% error reduction compared to maxximul likelihood system. BibRef

Kumara, K.[Karthik], Agrawal, R.[Rahul], Bhattacharyya, C.[Chiranjib],
A large margin approach for writer independent online handwriting classification,
PRL(29), No. 7, 1 May 2008, pp. 933-937.
WWW Link. 0804
Time-series classification; Kernels; Online handwriting recognition BibRef

Mori, M.[Minoru], Uchida, S.[Seiichi], Sakano, H.[Hitoshi],
Global feature for online character recognition,
PRL(35), No. 1, 2014, pp. 142-148.
Elsevier DOI 1312
BibRef
Earlier:
Dynamic Programming Matching with Global Features for Online Character Recognition,
FHR12(348-353).
IEEE DOI 1302
Online character recognition BibRef

Chikano, M.[Megumi], Kise, K.[Koichi], Iwamura, M.[Masakazu], Uchida, S.[Seiichi], Omachi, S.[Shin'ichiro],
Recovery and localization of handwritings by a camera-pen based on tracking and document image retrieval,
PRL(35), No. 1, 2014, pp. 214-224.
Elsevier DOI 1312
Camera-pen BibRef

Iwata, K.[Kazumasa], Kise, K.[Koichi], Iwamura, M.[Masakazu], Uchida, S.[Seiichi], Omachi, S.[Shinichiro],
Tracking and Retrieval of Pen Tip Positions for an Intelligent Camera Pen,
FHR10(277-282).
IEEE DOI 1011
BibRef

Liwicki, M.[Marcus], Uchida, S.[Seiichi], Yoshida, A.[Akira], Iwamura, M.[Masakazu], Omachi, S.[Shinichiro], Kise, K.[Koichi],
More than ink: Realization of a data-embedding pen,
PRL(35), No. 1, 2014, pp. 246-255.
Elsevier DOI 1312
Data-embedding pen BibRef

Deselaers, T., Keysers, D., Hosang, J., Rowley, H.A.,
GyroPen: Gyroscopes for Pen-Input With Mobile Phones,
HMS(45), No. 2, April 2015, pp. 263-271.
IEEE DOI 1503
Accelerometers BibRef

Granell, E.[Emilio], Martinez-Hinarejos, C.D.[Carlos-D.],
Combining handwriting and speech recognition for transcribing historical handwritten documents,
ICDAR15(126-130)
IEEE DOI 1511
Historical handwritten transcription BibRef

Qiu, L.Q.[Li-Quan], Jin, L.W.[Lian-Wen], Dai, R.[Ruifen], Zhang, Y.[Yuxiang], Li, L.[Lei],
An open source testing tool for evaluating handwriting input methods,
ICDAR15(136-140)
IEEE DOI 1511
Android BibRef


Retsinas, G.[George], Gatos, B.[Basilis], Stamatopoulos, N.[Nikolaos], Louloudis, G.[Georgios],
Isolated character recognition using projections of oriented gradients,
ICDAR15(336-340)
IEEE DOI 1511
Character Recognition BibRef

Kunwar, R.[Rituraj], Pal, U.[Umapada], Blumenstein, M.[Michael],
Semi-supervised Online Bayesian Network Learner for Handwritten Characters Recognition,
ICPR14(3104-3109)
IEEE DOI 1412
BibRef
Earlier:
Semi-supervised Online Learning of Handwritten Characters Using a Bayesian Classifier,
ACPR13(717-721)
IEEE DOI 1408
Accuracy. Bayes methods BibRef

Lin, H.Q.[Hui-Qin], Ou, W.N.[Wen-Nuan], Zhu, T.L.[Tong-Lin],
The Research of Algorithm for Handwritten Character Recognition in Correcting Assignment System,
ICIG11(456-460).
IEEE DOI 1109
BibRef

Xue, Y.[Yang], Jin, L.W.[Lian-Wen],
A New Rotation Feature for Single Tri-axial Accelerometer Based 3D Spatial Handwritten Digit Recognition,
ICPR10(4218-4221).
IEEE DOI 1008
BibRef

He, Z.Y.[Zhen-Yu], Liu, Z.B.[Zhi-Bin], Jin, L.W.[Lian-Wen], Zhen, L.X.[Li-Xin], Huang, J.C.[Jian-Cheng],
Weightlessness feature: A novel feature for single tri-axial accelerometer based activity recognition,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Guo, F.J.[Feng-Jun], Chen, S.[Shijie],
Gesture Recognition Techniques in Handwriting Recognition Application,
FHR10(142-147).
IEEE DOI 1011
BibRef

Sperber, M.[Matthias], Klinkigt, M.[Martin], Kise, K.[Koichi], Iwamura, M.[Masakazu], Adrian, B.[Benjamin], Dengel, A.R.[Andreas R.],
Handwriting Reconstruction for a Camera Pen Using Random Dot Patterns,
FHR10(160-165).
IEEE DOI 1011
BibRef

Almaksour, A.[Abdullah], Anquetil, E.[Eric], Quiniou, S.[Solen], Cheriet, M.[Mohamed],
Personalizable Pen-Based Interface Using Lifelong Learning,
FHR10(188-193).
IEEE DOI 1011
BibRef

Geiger, J.[Jurgen], Schenk, J.[Joachim], Wallhoff, F.[Frank], Rigoll, G.[Gerhard],
Optimizing the Number of States for HMM-Based On-line Handwritten Whiteboard Recognition,
FHR10(107-112).
IEEE DOI 1011
BibRef

Seniuk, A.[Andrew], Blostein, D.[Dorothea],
Pen Acoustic Emissions for Text and Gesture Recognition,
ICDAR09(872-876).
IEEE DOI 0907
BibRef

Tewari, N.C.[Naveen Chandra], Namboodiri, A.M.[Anoop M.],
Learning and Adaptation for Improving Handwritten Character Recognizers,
ICDAR09(86-90).
IEEE DOI 0907
BibRef

Miyao, H.[Hidetoshi], Maruyama, M.[Minoru],
Writer Adaptation for Online Handwriting Recognition System Using Virtual Examples,
ICDAR09(1156-1160).
IEEE DOI 0907
BibRef

Reddy, N.K.[Nirup Kumar], Kandan, R., Shashikiran, K., Sundaram, S.[Suresh], Ramakrishnan, A.G.,
Online Character Recognition using Regression Techniques,
WACV08(1-6).
IEEE DOI 0801
BibRef

da Xu, R.Y.[Richard Yi],
A Computer Vision based Whiteboard Capture System,
WACV08(1-6).
IEEE DOI 0801
BibRef

Rodriguez, J., Sanchez, G., Llados, J.,
A Pen-Based Interface for Real-Time Document Edition,
ICDAR07(939-943).
IEEE DOI 0709
Editing?? BibRef

Baba, D., Uchida, S., Sakoe, H.,
Predictive DP Matching for On-Line Character Recognition,
ICDAR07(674-678).
IEEE DOI 0709
BibRef

Dinesh, M., Sridhar, M.K.[Murali Krishna],
A Feature based on Encoding the Relative Position of a Point in the Character for Online Handwritten Character Recognition,
ICDAR07(1014-1017).
IEEE DOI 0709
BibRef

Liu, P.[Peng], Ma, L.[Lei], Soong, F.K.[Frank K.],
Radical based fine trajectory HMMs of online handwritten characters,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Ma, L., Soong, F., Liu, P., Wu, Y.J.,
A MSD-HMM Approach to Pen Trajectory Modeling for Online Handwriting Recognition,
ICDAR07(128-132).
IEEE DOI 0709
BibRef

Sriraghavendra, E., Karthik, K., Bhattacharyya, C.,
Fréchet Distance Based Approach for Searching Online Handwritten Documents,
ICDAR07(461-465).
IEEE DOI 0709
BibRef

Syeda-Mahmood, T.F.[Tanveer F.], Zimmerman, T.[Thomas],
FormPad: A Camera-Assisted Digital Notepad,
ACCV06(II:193-203).
Springer DOI 0601
BibRef

Okumura, D., Uchida, S., Sakoe, H.,
An HMM implementation for on-line handwriting recognition based on pen-coordinate feature and pen-direction feature,
ICDAR05(I: 26-30).
IEEE DOI 0508
BibRef

Willems, D., Vuurpijl, L.,
A Bayesian Network Approach to Mode Detection for Interactive Maps,
ICDAR07(869-873).
IEEE DOI 0709
BibRef

Willems, D., Rossignol, S., Vuurpijl, L.,
Mode detection in on-line pen drawing and handwriting recognition,
ICDAR05(I: 31-35).
IEEE DOI 0508
BibRef

Choi, H.I.[Hyun-Il], Cho, S.J.[Sung-Jung], Kim, J.H.,
Generation of handwritten characters with Bayesian network based on-line handwriting recognizers,
ICDAR03(995-999).
IEEE DOI 0311
BibRef

Bouteruche, F., Anquetil, E., Ragot, N.,
Handwritten gesture recognition driven by the spatial context of strokes,
ICDAR05(II: 1221-1225).
IEEE DOI 0508
BibRef

Anquetil, E., Bouchereau, R.,
Integration of an on-line handwriting recognition system in a smart phone device,
ICPR02(III: 192-195).
IEEE DOI 0211
BibRef

Ragot, N., Anquetil, E.,
A generic hybrid classifier based on hierarchical fuzzy modeling: experiments on on-line handwritten character recognition,
ICDAR03(963-967).
IEEE DOI 0311
BibRef

Vinciarelli, A., Perone, M.,
Combining online and offline handwriting recognition,
ICDAR03(844-848).
IEEE DOI 0311
BibRef

Velek, O., Nakagawa, M.,
Enhancing efficiency and speed of an off-line classifier employed for on-line handwriting recognition of a large character set,
ICDAR03(784-788).
IEEE DOI 0311
BibRef

Nakamura, A., Kawajiri, H.,
Bigram-based post-processing for on-line handwriting recognition using correctness evaluation,
FHR02(90-95).
IEEE Top Reference. 0209
BibRef

Subrahmonia, J., Zimmerman, T.,
Pen Computing: Challenges and Applications,
ICPR00(Vol II: 60-66).
IEEE DOI 0009
BibRef

Hebert, J.F.[Jean-Francois], Parizeau, M.[Marc], Ghazzali, N.[Nadia],
A New Fuzzy Geometric Representation for On-Line Isolated Character Recognition,
ICPR98(Vol II: 1121-1123).
IEEE DOI 9808
BibRef

Nakagawa, M., Higashiyama, T., Yamanaka, Y., Sawada, S., Higashigawa, L., Akiyama, K.,
On-Line Handwritten Character Pattern Database Sampled in a Sequence of Sentences without Any Writing Instructions,
ICDAR97(376-381).
IEEE DOI 9708
BibRef

Bunke, H., Ammann, R., Kaufmann, G., Ha, T.M., Schenkel, M., Seiler, R., Eggimann, F.,
Recovery of Temporal Information of Cursively Handwritten Words for On-Line Recognition,
ICDAR97(931-935).
IEEE DOI 9708
BibRef

Hennig, A., Sherkat, N., Whitrow, R.J.,
Recognising Letters in On-Line Handwriting Using Hierarchical Fuzzy Inference,
ICDAR97(936-940).
IEEE DOI 9708
BibRef

Raza, G., Hennig, A., Sherkat, N., Whitrow, R.J.,
Recognition of facsimile documents using a database of robust features,
ICDAR97(444-448).
IEEE DOI 9708
BibRef

Moin, S., Brault, J.J.,
Structure Recognition of On-Line Handwritten Documents Based on SGML,
ICDAR97(649-652).
IEEE DOI 9708
BibRef

Cuhadar, A., Downton, A.C.,
Scalable parallel processing design for real time handwritten OCR,
ICPR94(C:339-341).
IEEE DOI 9410
BibRef

Klauer, B., Waldschmidt, K., Goethe, J.W.,
An object-oriented pen-based recognizer for handprinted characters,
CAIP93(586-593).
Springer DOI 9309
BibRef

Kim, J., Tappert, C.C.,
Handwriting Recognition Accuracy Versus Tablet Resolution and Sampling Rate,
ICPR84(917-918). BibRef 8400

Tappert, C.C.,
Adaptive On-Line Handwriting Recognition,
ICPR84(1004-1007). BibRef 8400

Plamondon, R., Baron, R.,
On-Line Recognition of Handprint Schematic Pseudocode for Automatic Fortran Code Generation,
ICPR86(741-744). BibRef 8600

Sakai, T., Odako, K., Toida, T.,
Several Approaches to Development of On-Line Handwritten Character Input Equipment,
ICPR84(1052-1054). BibRef 8400

Lorette, G.,
On-Line Handwritten Signature Recognition Based on Data Analysis and Clustering,
ICPR84(1284-1287). BibRef 8400

Gaines, B.R., McKellar, I.D., Dinger, W.P., Fast, S.R., Fowles, B.J., Fraccaro, M.A., Jolivet, G.C., Maludzinski, A.B.,
Some Experience in the Real-Time Processing of Handwriting,
ICPR84(630-632). BibRef 8400

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Handwritten Characters, Cursive Script, Surveys, Data, Comparisons, Evaluations .


Last update:Sep 18, 2017 at 11:34:11