Handwriting, Cursive Script Recognition Systems

Chapter Contents (Back)
Recognize Handwriting. Cursive Character Recognition. Recognize Cursive Script.

Eden, M.,
Handwriting and pattern Recognition,
IT(8), 1962, pp. 160-166. BibRef 6200

Ehrich, R.W., and Koehler, K.J.,
Experiments in the Contextual Recognition of Cursive Script,
TC(24), No. 2, February 1975, pp. 182-194. BibRef 7502

Peleg, S.,
Ambiguity Reduction in Handwriting with Ambiguous Segmentation and Uncertain Interpretation,
CGIP(10), No. 3, July 1979, pp. 235-245.
WWW Version. BibRef 7907

Duvernoy, J., Charraut, D.,
Stability and stationarity of cursive handwriting,
PR(11), No. 3, 1979, pp. 145-154.
WWW Version. 0309

Myers, C.S., Rabiner, L.R., Rosenberg, A.E.,
Performance, Tradeoffs in Dynamic Time Warping Algorithms for Isolated Word Recognition,
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Myers, C.S., Rabiner, L.R.,
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Lee, C., Rabiner, L.R.,
A Frame-Synchronous Network Search Algorithm for Connected Word Recognition,
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Designing a Handwriting Reader,
PAMI(5), No. 5, September 1983, pp. 554-559. BibRef 8309

Babcock, M.K., and Freyd, J.J.,
Perception of Dynamic Information in Static Handwritten Forms,
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Mermelstein, P., and Eden, M.,
Experiments of Computer Recognition of Connected Handwritten Words,
InfoControl(7), No. 2, 1964, pp. 255-270. BibRef 6400

Tappert, C.C.,
Cursive Script by Elastic matching,
IBMRD(26), No. 6, November 1982, pp. 765-771. Restrict to n-grams, sequences of characters. BibRef 8211

Edelman, S., Ullman, S., and Flash, T.,
Reading Cursive Handwriting by Alignment of Letter Prototypes,
IJCV(5), No. 3, December 1990, pp. 303-331.
Springer DOI Link Recognize Cursive Script. BibRef 9012

Bozinovic, R.M.[Radmilo M.], Srihari, S.N.[Sargur N.],
A String Correction Algorithm for Cursive Script Recognition,
PAMI(4), No. 6, November 1982, pp. 655-663. BibRef 8211

Srihari, S.N.[Sargur N.], and Bozinovic, R.M.[Radmilo M.],
A Multi-Level Perception Approach to Reading Cursive Script,
AI(33), No. 2, October 1987, pp. 217-255.
WWW Version. BibRef 8710
Earlier: IJCAI87(844-847). Recognize Cursive Script. BibRef

Bozinovic, R.M.[Radmilo M.], Srihari, S.N.[Sargur N.],
Off-Line Cursive Script Word Recognition,
PAMI(11), No. 1, January 1989, pp. 68-83.
IEEE DOI Link BibRef 8901
Knowledge-Based Cursive Script Interpretation,
ICPR84(774-776). BibRef

Morasso, P., Barberis, L., Pagliano, S., and Vergano, D.,
Recognition Experiments of Cursive Dynamic Handwriting with Self-Organizing Networks,
PR(26), No. 3, March 1993, pp. 451-460.
WWW Version. BibRef 9303

Boccignone, G., Chianese, A., Cordella, L.P., Marcelli, A.,
Recovering dynamic information from static handwriting,
PR(26), No. 3, March 1993, pp. 409-418.
WWW Version. 0401

Chianese, A., de Santo, M., Picariello, A.,
Improving the use of contours and skeletons for off-line cursive script segmentation,
CIAP97(II: 600-607).
WWW Version. 9709

Boccignone, G., de Santo, M., Chianese, A., Picariello, A.,
Improving the use of contours for off-line Cursive Script Segmentation,
Springer DOI Link 9509

Seni, G., Cohen, E.,
External Word Segmentation of Off-Line Handwritten Text Lines,
PR(27), No. 1, January 1994, pp. 41-52.
WWW Version. BibRef 9401

Gorsky, N.D.,
Experiments with Handwriting Recognition Using Holographic Representation of Line Images,
PRL(15), No. 9, September 1994, pp. 853-859. BibRef 9409

Setlur, S., Govindaraju, V.,
Generating Manifold Samples from a Handwritten Word,
PRL(15), No. 9, September 1994, pp. 901-905. BibRef 9409

Cheriet, M., Suen, C.Y.,
Extraction of Key Letters for Cursive Script Recognition,
PRL(14), No. 12, December 1993, pp. 1009-1017. BibRef 9312

Abdelazim, H.Y.[Hazem Y.],
Recognition of characters in cursive script,
US_Patent5,335,289, August 2, 1994.
WWW Version. BibRef 9408

Doermann, D.S., and Rosenfeld, A.,
Recovery of Temporal Information from Static Images of Handwriting,
IJCV(15), No. 1-2, June 1995, pp. 143-164.
Springer DOI Link BibRef 9506
Earlier: CVPR92(162-168).
IEEE DOI Link BibRef
The Interpretation and Reconstruction of Interfering Strokes,
FHR93(41-50). BibRef
Temporal clues in handwriting,
IEEE DOI Link 9208
Trace the strokes. BibRef

Nishida, H.[Hirobumi],
Model-Based Shape-Matching with Structural Feature Grouping,
PAMI(17), No. 3, March 1995, pp. 315-320.
IEEE DOI Link BibRef 9503
Earlier: ICPR94(B:599-601).
IEEE DOI Link 9410
Handwritten numbers and letters. BibRef

Nishida, H.[Hirobumi],
Character recognition method,
US_Patent5,067,165, Nov 19, 1991
WWW Version. BibRef 9111

Nishida, H.[Hirobumi],
Method for extracting features from on-line handwritten characters,
US_Patent5,313,528, May 17, 1994.
WWW Version. BibRef 9405

Nishida, H.[Hirobumi],
Shape-recognition by Integrating Structural Descriptions and Geometrical/Statistical Transforms,
CVIU(64), No. 2, September 1996, pp. 248-262.
DOI Link BibRef 9609

Nishida, H.[Hirobumi],
Structural Shape Indexing with Feature Generation Models,
CVIU(73), No. 1, January 1999, pp. 121-136.
DOI Link BibRef 9901

Nishida, H.[Hirobumi],
Robust Structural Indexing through Quasi-Invariant Shape Signatures and Feature Generation,
VF01(696 ff.).
HTML Version. 0209

Rose, T.G., Evett, L.J.,
The Use of Context in Cursive Script Recognition,
MVA(8), No. 4, 1995, pp. 241-248.
HTML Version. BibRef 9500

Bramall, P.E., Higgins, C.A.,
A Cursive Script-Recognition System Based on Human Reading Models,
MVA(8), No. 4, 1995, pp. 224-231.
HTML Version. BibRef 9500

Wunsch, P., Laine, A.F.,
Wavelet Descriptors for Multiresolution Recognition of Handprinted Characters,
PR(28), No. 8, August 1995, pp. 1237-1249.
WWW Version. BibRef 9508

Oh, S.C., Ha, J.Y., Kim, J.H.,
Context-Dependent Search in Interconnected Hidden Markov Model for Unconstrained Handwriting Recognition,
PR(28), No. 11, November 1995, pp. 1693-1704.
WWW Version. BibRef 9511

Rao, P.V.S.,
A Knowledge-Based Approach for Script Recognition Without Training,
PAMI(17), No. 12, December 1995, pp. 1233-1239.
IEEE DOI Link 90% recognition of hand written script. BibRef 9512

Keller, J.M., Gader, P.D., Tahani, H., Chiang, J.H., Mohamed, M.A.,
Advances in Fuzzy Integration for Pattern Recognition,
PRL(15), 1994, pp. 273-283. BibRef 9400

Gader, P.D., Keller, J.M., Krishnapuram, R., Chiang, J.H., Mohamed, M.A.,
Neural and Fuzzy Methods in Handwriting Recognition,
Computer(30), No. 2, February 1997, pp. 79-86. 9702

Lim, J.H., Teh, H.H., Lui, H.C., Wang, P.Z.,
Stochastic Topology with Elastic Matching for Off-Line Handwritten Character-Recognition,
PRL(17), No. 2, February 8 1996, pp. 149-154. 9603
And: Correction: PRL(17), No. 7, June 10 1996, pp. 801-801. 9607

Seni, G., Kripasundar, V., Srihari, R.K.,
Generalizing Edit Distance to Incorporate Domain Information: Handwritten Text Recognition as a Case-Study,
PR(29), No. 3, March 1996, pp. 405-414.
WWW Version. BibRef 9603

Nishida, H.,
Automatic Construction of Structural Models Incorporating Discontinuous Transformations,
PAMI(18), No. 4, April 1996, pp. 400-411.
IEEE DOI Link 9605
For general application of the model: See also Structural Model of Curve Deformation by Discontinuous Transformations, A. BibRef

Bouchaffra, D., Koontz, E., Krpasundar, V., Srihari, R.K.,
Incorporating Diverse Information-Sources in Handwriting Recognition Postprocessing,
IJIST(7), No. 4, Winter 1996, pp. 320-329. 9612

Hochberg, J.[Judith], Kelly, P.[Patrick], Thomas, T.[Timothy], Kerns, L.[Lila],
Automatic Script Identification from Document Images Using Cluster-Based Templates,
PAMI(19), No. 2, February 1997, pp. 176-181.
IEEE DOI Link 9703
Earlier: A1, A4, A3 only:
Automatic Script Identification from Images Using Cluster-Based Templates,
ICDAR95(378-381). Determine what kind of script is being used based on a demplate of the different scripts. Applied to Arabic, Armenian, Burmese, Chinese, Cyrillic, Devanagari, Ethopic, Greek, Hebrew, Japanese, Korean, Roman, Thai scripts. BibRef

Hochberg, J.[Judith], Bowers, K.[Kevin], Cannon, M.[Michael], Kelly, P.[Patrick],
Script and Language Identification for Handwritten Document Images,
IJDAR(2), No. 2/3, 1999, pp. 45-52. 9912

Malaviya, A.[Ashutosh], Peters, L.[Liliane],
Fuzzy Feature Description of Handwriting Patterns,
PR(30), No. 10, October 1997, pp. 1591-1604.
WWW Version. 9712

Malaviya, A.[Ashutosh], Peters, L.[Liliane],
Fuzzy handwriting description language: FOHDEL,
PR(33), No. 1, January 2000, pp. 119-131.
WWW Version. 0005

Errico, J.H.[James H.], Labun, N.M.[Nicholas M.], Murdock, M.C.[Michael C.], Wang, S.P.T.[Shay-Ping T.],
Method and system using meta-classes and polynomial discriminant functions for handwriting recognition,
US_Patent5,854,855, December 29, 1998.
WWW Version. BibRef 9812

Murdock, M.C.[Michael C.], Wang, S.P.T.[Shay-Ping T.],
Method and system for recognizing a boundary between characters in handwritten text,
US_Patent5,818,963, Oct 6, 1998
WWW Version. BibRef 9810

Senior, A.W.[Andrew W.], Robinson, A.J.[Anthony J.],
An Off-Line Cursive Handwriting Recognition System,
PAMI(20), No. 3, March 1998, pp. 309-321.
IEEE DOI Link 9805
Segmentation. Normailze for scale, slant, stroke thickness. Represent as skeleton and stroke features. Use a Neural Network. Use a lexicon BibRef

Senior, A.W.[Andrew W.], Fallside, F.,
Off-line Handwriting Recognition by Recurrent Error Propagation Networks,
PDF Version. 9209

AbuHaiba, I.S.I., Holt, M.J.J., Datta, S.,
Recognition of Off-Line Cursive Handwriting,
CVIU(71), No. 1, July 1998, pp. 19-38.
DOI Link BibRef 9807

Plamondon, R., Privitera, C.M.,
The Segmentation of Cursive Handwriting: An Approach Based on Off-Line Recovery of the Motor-Temporal Information,
IP(8), No. 1, January 1999, pp. 80-91.
IEEE DOI Link BibRef 9901

Liou, C.Y., Yang, H.C.,
Selective Feature-to-Feature Adhesion for Recognition of Cursive Handprinted Characters,
PAMI(21), No. 2, February 1999, pp. 184-191. 748829 BibRef 9902

Wang, J.G.[Jian-Guo], Yan, H.[Hong],
Mending broken handwriting with a macrostructure analysis method to improve recognition,
PRL(20), No. 8, August 1999, pp. 855-864. See also hybrid method for unconstrained handwritten numeral recognition by combining structural and neural gas classifiers, A. BibRef 9908

Schomaker, L.R.B.[Lambert R.B.], Segers, E.[Eliane],
Finding features used in the human reading of cursive handwriting,
IJDAR(2), No. 1, 1999, pp. 13-18. BibRef 9900

Seni, G.[Giovanni], Seybold, J.[John],
Diacritical processing for unconstrained online handwriting recognition using a forward search,
IJDAR(2), No. 1, 1999, pp. 24-29. BibRef 9900

Kim, G.H.[Gyeong-Hwan], Govindaraju, V.[Venu], Srihari, S.N.[Sargur N.],
An architecture for handwritten text recognition systems,
IJDAR(2), No. 1, 1999, pp. 37-44. BibRef 9900

Wang, X.[Xian], Govindaraju, V.[Venu], Srihari, S.N.[Sargur N.],
Holistic recognition of handwritten character pairs,
PR(33), No. 12, December 2000, pp. 1967-1973.
WWW Version. 0008

Steinherz, T.[Tal], Rivlin, E.[Ehud], Intrator, N.[Nathan],
Offline Cursive Script Word Recognition: A Survey,
IJDAR(2), No. 2/3, 1999, pp. 90-110. 9912
Survey, Handwriting. BibRef

Steinherz, T.[Tal], Doermann, D.[David], Rivlin, E.[Ehud], Intrator, N.[Nathan],
Offline Loop Investigation for Handwriting Analysis,
PAMI(31), No. 2, February 2009, pp. 193-209.
IEEE DOI Link 0901
Analysis of loops in handwriting. BibRef

Procter, S., Illingworth, J., Mokhtarian, F.,
Cursive handwriting recognition using hidden Markov models and a lexicon-driven level building algorithm,
VISP(147), No. 4, 2000, pp. 332-339. 0010

Procter, S., Illingworth, J.,
Combining HMM classifiers in a handwritten text recognition system,
ICIP98(II: 934-938).
IEEE DOI Link 9810

Kato, Y.[Yoshiharu], Yasuhara, M.[Makoto],
Recovery of Drawing Order from Single-Stroke Handwriting Images,
PAMI(22), No. 9, September 2000, pp. 938-949.
IEEE DOI Link 0010
Recovery of Drawing Order from Scanned Images of Multi-Stroke Handwriting,
IEEE DOI Link From static image, trace the order of the script. BibRef

Qiao, Y.[Yu], Nishiara, M., Yasuhara, M.[Makoto],
A Framework Toward Restoration of Writing Order from Single-Stroked Handwriting Image,
PAMI(28), No. 11, November 2006, pp. 1724-1737.
IEEE DOI Link 0609
A novel approach to recover writing order from single stroke offline handwritten images,
ICDAR05(I: 227-231).
IEEE DOI Link 0508
Approach as finding smoothest path in a graph. BibRef

Huang, T., and Yasuhara, M.[Makoto],
A Total Stroke SLALOM Method for Searching for the Optimal Drawing Order of Off-Line Handwriting,
SMC-C95(2789-2794). BibRef 9500

Hennig, A., Sherkat, N.,
Cursive Script Recognition using Wildcards and Multiple Experts,
PAA(4), No. 1, 2001, pp. 51-60.
HTML Version. 0105

Hennig, A., Sherkat, N.,
Exploiting zoning based on approximating splines in cursive script recognition,
PR(35), No. 2, February 2002, pp. 445-454.
WWW Version. 0201

Arica, N.[Nafiz], Yarman-Vural, F.T.[Fatos T.],
One-dimensional representation of two-dimensional information for HMM based handwriting recognition,
PRL(21), No. 6-7, June 2000, pp. 583-592. 0006
Earlier: ICIP98(II: 948-952).
IEEE DOI Link 9810

Arica, N.[Nafiz], Yarman-Vural, F.T.[Fatos T.],
Optical Character Recognition for Cursive Handwriting,
PAMI(24), No. 6, June 2002, pp. 801-813.
IEEE DOI Link 0206
Estimate some global parameters (slant, etc.). Segment character paths. Apply HMM for shape recognition on characters. Lexicon and character rank to find optimal recognition. BibRef

Kavallieratou, E., Fakotakis, N., Kokkinakis, G.,
An unconstrained handwriting recognition system,
IJDAR(4), No. 4, 2002, pp. 226-242.
HTML Version. 0208
Handwritten character recognition based on structural characteristics,
ICPR02(III: 139-142).
IEEE DOI Link 0211

Kavallieratou, E., Sgarbas, K., Fakotakis, N., Kokkinakis, G.,
Handwritten word recognition based on structural characteristics and Lexical support,
IEEE Abstract. 0311

Liolios, N., Kavallieratou, E., Fakotakis, N., Kokkinakis, G.,
A new shape transformation approach to handwritten character recognition,
ICPR02(I: 584-587).
IEEE DOI Link 0211

Dehkordi, M.E.[Mandana Ebadian], Sherkat, N.[Nasser], Allen, T.[Tony],
Handwriting style classification,
IJDAR(6), No. 1, 2003, pp. 55-74.
HTML Version. 0308
Prediction of handwriting legibility,
IEEE DOI Link 0109

Chi, Z.[Zheru], Wang, Q.[Qing], Siu, W.C.[Wan-Chi],
Hierarchical content classification and script determination for automatic document image processing,
PR(36), No. 11, November 2003, pp. 2483-2500.
WWW Version. 0309
Earlier: A2, A1, Different A3: Zhao, R.[Rongehun], ICPR02(III: 77-80).
IEEE DOI Link 0211

Günter, S.[Simon], Bunke, H.[Horst],
Optimization of Weights in a Multiple Classifier Handwritten Word Recognition System Using a Genetic Algorithm,
ELCVIA(3), No. 1, 2004, pp. 25-44.
WWW Version. 0402
Fast Feature Selection in an HMM-Based Multiple Classifier System for Handwriting Recognition,
HTML Version. 0310

Günter, S.[Simon], Bunke, H.[Horst],
Ensembles of classifiers for handwritten word recognition,
IJDAR(5), No. 4, July 2003, pp. 224-232.
HTML Version. 0308
Word Recognition. BibRef
A new combination scheme for HMM-based classifiers and its application to handwriting recognition,
ICPR02(II: 332-337).
IEEE DOI Link 0211
Creation of classifier ensembles for handwritten word recognition using feature selection algorithms,
IEEE Top Reference. 0209

Gunter, S., Bunke, H.,
An evaluation of ensemble methods in handwritten word recognition based on feature selection,
ICPR04(I: 388-392).
IEEE DOI Link 0409

Zheng, Y.F.[Ye-Feng], Li, H.P.[Hui-Ping], Doermann, D.[David],
Machine printed text and handwriting identification in noisy document images,
PAMI(26), No. 3, March 2004, pp. 337-353.
IEEE Abstract. 0402
Text identification in noisy document images using Markov random field,
IEEE Abstract. 0311
The Segmentation and Identification of Handwriting in Noisy Document Images,
DAS02(95 ff.).
HTML Version. 0303

Wolf, C., Doermann, D.,
Binarization of low quality text using a Markov random field model,
ICPR02(III: 160-163).
IEEE DOI Link 0211

Zheng, Y.F.[Ye-Feng], Doermann, D.,
Handwriting matching and its application to handwriting synthesis,
ICDAR05(II: 861-865).
IEEE DOI Link 0508

Veeramachaneni, S.[Sriharsha], Nagy, G.[George],
Style Context with Second-Order Statistics,
PAMI(27), No. 1, January 2005, pp. 14-22.
IEEE Abstract. 0412
Towards a Ptolemaic Model for OCR,
IEEE Abstract. 0311
Style Context: dependencies between patterns. Reduce error rate on digits. BibRef

Veeramachaneni, S.[Sriharsha], Nagy, G.[George],
Analytical Results on Style-Constrained Bayesian Classification of Pattern Fields,
PAMI(29), No. 7, July 2007, pp. 1280-1285.
IEEE DOI Link 0706
Style context is the basis for order independent field classification. See also Style Consistent Classification of Isogenous Patterns. BibRef

El-Nasan, A., Veeramachaneni, S., Nagy, G.,
Handwriting recognition using position sensitive letter N-gram matching,
IEEE Abstract. 0311
Word discrimination based on bigram co-occurrences,
IEEE DOI Link 0109

El-Nasan, A., Perrone, M.P.,
On-line handwriting recognition using character bigram match vectors,
IEEE Top Reference. 0209

El-Nasan, A., Nagy, G.,
On-line handwriting recognition based on bigram co-occurrences,
ICPR02(III: 740-743).
IEEE DOI Link 0211

Veeramachaneni, S.[Sriharsha],
Style Constrained Quadratic Field Classifiers,
Ph.D.Thesis, RPI, Troy, NY, 2002. BibRef 0200

Vincent, N., Seropian, A., Stamon, G.,
Synthesis for handwriting analysis,
PRL(26), No. 3, February 2005, pp. 267-275.
WWW Version. 0501

Steinherz, T.[Tal], Rivlin, E.[Ehud], Intrator, N.[Nathan], Neskovic, P.[Predrag],
An Integration of Online and Pseudo-Online Information for Cursive Word Recognition,
PAMI(27), No. 5, May 2005, pp. 669-683.
IEEE Abstract. 0501
Use stroke order information and an offline style recognition. Word level recognition. BibRef

Doermann, D., Intrator, N., Rivlin, E., Steinherz, T.,
Hidden loop recovery for handwriting recognition,
IEEE Top Reference. 0209

Wang, J.[Jue], Wu, C.Y.[Chen-Yu], Xu, Y.Q.[Ying-Qing], Shum, H.Y.[Heung-Yeung],
Combining shape and physical models for online cursive handwriting synthesis,
IJDAR(7), No. 4, September 2005, pp. 219-227.
Springer DOI Link 0512

Wang, J.[Jue], Wu, C.Y.[Chen-Yu], Xu, Y.Q.[Ying-Qing], Shum, H.Y.[Heung-Yeung], Ji, L.[Liang],
Learning-based cursive handwriting synthesis,
IEEE Top Reference. 0209

Viard-Gaudin, C.[Christian], Lallican, P.M.[Pierre-Michel], Knerr, S.[Stefan],
Recognition-directed recovering of temporal information from handwriting images,
PRL(26), No. 16, December 2005, pp. 2537-2548.
WWW Version. 0512

Fujioka, H., Kano, H., Nakata, H., Shinoda, H.,
Constructing and Reconstructing Characters, Words, and Sentences by Synthesizing Writing Motions,
SMC-A(36), No. 4, July 2006, pp. 661-670.
IEEE DOI Link 0606

Lin, Z.C.[Zhou-Chen], Wan, L.[Liang],
Style-preserving English handwriting synthesis,
PR(40), No. 7, July 2007, pp. 2097-2109.
WWW Version. 0704
Handwriting; Handwriting synthesis; Writing style; Cursive; Connection BibRef

Adankon, M.M.[Mathias M.], Cheriet, M.[Mohamed],
Model selection for the LS-SVM. Application to handwriting recognition,
PR(42), No. 12, December 2009, pp. 3264-3270.
Elsevier DOI Link 0909
LS-SVM; Support vector machine; Model selection; Kernel machine BibRef

Vikram, T.N., Gowda, K.C.[K. Chidananda],
Subspace models for document script and language identification,
IJIST(20), No. 2, June 2010, pp. 140-148.
DOI Link 1006

Vikram, T.N., Guru, D.S.,
Appearance Based Models in Document Script Identification,
IEEE DOI Link 0709

Plötz, T.[Thomas], Fink, G.A.[Gernot A.],
Markov Models for Handwriting Recognition,
Springer2011. ISBN: 978-1-4471-2187-9.
WWW Version. 1109

Quiniou, S.[Solen], Cheriet, M.[Mohamed], Anquetil, E.[Eric],
Error handling approach using characterization and correction steps for handwritten document analysis,
IJDAR(15), No. 2, June 2012, pp. 125-141.
WWW Version. 1205

Romero, V.[Verónica], Fornés, A.[Alicia], Serrano, N.[Nicolás], Sánchez, J.A.[Joan Andreu], Toselli, A.H.[Alejandro H.], Frinken, V.[Volkmar], Vidal, E.[Enrique], Lladós, J.[Josep],
The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition,
PR(46), No. 6, June 2013, pp. 1658-1669.
Elsevier DOI Link 1302
Earlier: A1, A4, A3, A7, Only:
Handwritten Text Recognition for Marriage Register Books,
IEEE DOI Link 1111
Handwritten text recognition; Marriage register books; Hidden Markov models; BLSTM; Neural networks BibRef

Serrano, N.[Nicolás], Civera, J., Sanchis, A., Juan, A.[Alfons],
Effective balancing error and user effort in interactive handwriting recognition,
PRL(37), No. 1, 2014, pp. 135-142.
Elsevier DOI Link 1402
Handwriting recognition BibRef

Serrano, N.[Nicolás], Gimenez, A.[Adriŕ], Civera, J.[Jorge], Sanchis, A.[Alberto], Juan, A.[Alfons],
Interactive handwriting recognition with limited user effort,
IJDAR(17), No. 1, March 2014, pp. 47-59.
Springer DOI Link 1403

Martín-Albo, D.[Daniel], Romero, V.[Verónica], Vidal, E.[Enrique],
An Experimental Study of Pruning Techniques in Handwritten Text Recognition Systems,
Springer DOI Link 1307

Frinken, V.[Volkmar], Fischer, A.[Andreas], Baumgartner, M.[Markus], Bunke, H.[Horst],
Keyword spotting for self-training of BLSTM NN based handwriting recognition systems,
PR(47), No. 3, 2014, pp. 1073-1082.
Elsevier DOI Link 1312
Document retrieval BibRef

Frinken, V.[Volkmar], Zamora-Martinez, F.[Francisco], Espana-Boquera, S.[Salvador], Castro-Bleda, M.J.[Maria Jose], Fischer, A.[Andreas], Bunke, H.[Horst],
Long-short term memory neural networks language modeling for handwriting recognition,
WWW Version. 1302

Plamondon, R.[Réjean], O'Reilly, C.[Christian], Galbally, J.[Javier], Almaksour, A.[Abdullah], Anquetil, É.[Éric],
Recent developments in the study of rapid human movements with the kinematic theory: Applications to handwriting and signature synthesis,
PRL(35), No. 1, 2014, pp. 225-235.
Elsevier DOI Link 1312
Kinematic theory BibRef

Zamora-Martínez, F., Frinken, V.[Volkmar], Espańa-Boquera, S., Castro-Bleda, M.J., Fischer, A.[Andreas], Bunke, H.[Horst],
Neural network language models for off-line handwriting recognition,
PR(47), No. 4, 2014, pp. 1642-1652.
Elsevier DOI Link 1402
Handwritten text recognition (HTR) BibRef

Frinken, V.[Volkmar], Peter, T.[Tim], Fischer, A.[Andreas], Bunke, H.[Horst], Do, T.M.T.[Trinh-Minh-Tri], Artieres, T.[Thierry],
Improved Handwriting Recognition by Combining Two Forms of Hidden Markov Models and a Recurrent Neural Network,
Springer DOI Link 0909

Cirera, N.[Núria], Fornés, A.[Alícia], Frinken, V.[Volkmar], Lladós, J.[Josep],
Hybrid Grammar Language Model for Handwritten Historical Documents Recognition,
Springer DOI Link 1307

Frinken, V.[Volkmar], Fornés, A.[Alicia], Lladós, J.[Josep], Ogier, J.M.[Jean-Marc],
Bidirectional Language Model for Handwriting Recognition,
Springer DOI Link 1211

Samanta, O., Bhattacharya, U., Parui, S.K.,
Smoothing of HMM parameters for efficient recognition of online handwriting,
PR(47), No. 11, 2014, pp. 3614-3629.
Elsevier DOI Link 1407
Handwriting recognition BibRef

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ICIAR14(I: 403-410).
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Neural Networks for cursive scripts. BibRef

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feature extraction BibRef

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IBM_UB_1: A Dual Mode Unconstrained English Handwriting Dataset,
IEEE DOI Link 1312
Dataset, OCR. handwriting recognition BibRef

Puri, M., Srihari, S.N., Tang, Y.[Yi],
Bayesian Network Structure Learning and Inference Methods for Handwriting,
IEEE DOI Link 1312
belief networks BibRef

Mizukami, Y.[Yoshiki], Nakanishi, S.[Shinya],
Performance Study of a Regularization-Based Deformable Handwritten Recognition Approach,
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Retrieval of Rashi Semi-cursive Handwriting via Fuzzy Logic,
IEEE DOI Link 1302

Furukawa, T.[Takeshi],
The New Method of Identification of Handwriting Using Volumes of Indentations,
IEEE DOI Link 1302

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IEEE DOI Link 1302

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Recognition of Hand-Written Archive Text Documents,
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Reading Cursive Handwriting,
IEEE DOI Link 1011

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A Neural Scheme for Procedural Motor Learning of Handwriting,
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Writing Order Recovery from Off-Line Handwriting by Graph Traversal,
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Semi-supervised Learning for Handwriting Recognition,
IEEE DOI Link 0907

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Kernel PCA for HMM-Based Cursive Handwriting Recognition,
Springer DOI Link 0909

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Maximum Margin Training of Gaussian HMMs for Handwriting Recognition,
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Generating Copybooks from Consistent Handwriting Styles,
IEEE DOI Link 0709

Fink, G.A., Plotz, T.,
On the Use of Context-Dependent Modeling Units for HMM-Based Offline Handwriting Recognition,
IEEE DOI Link 0709

Ye, M., Viola, P., Raghupathy, S., Sutanto, H., Li, C.,
Learning to Group Text Lines and Regions in Freeform Handwritten Notes,
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ICDAR05(I: 367-371).
IEEE DOI Link 0508

Shilman, M.[Michael], Wei, Z.[Zile],
Recognizing Freeform Digital Ink Annotations,
WWW Version. 0505

Shilman, M., Wei, Z.[Zile], Raghupathy, S., Simard, P.Y., Jones, D.,
Discerning structure from freeform handwritten notes,
IEEE Abstract. 0311

Pan, W.M., Suen, C.Y.[Ching Y.], Bui, T.D.[Tien D.],
Script identification using steerable Gabor filters,
ICDAR05(II: 883-887).
IEEE DOI Link 0508

Htwe, S.M.[Swe Myo], Higgins, C.[Colin], Leedham, G.[Graham], Yang, M.[Ma],
Post-processing of Handwritten Pitman's Shorthand Using Unigram and Heuristic Approaches,
WWW Version. 0505

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Preliminary experiments in layout analysis of handwritten letters based on textural and spatial information and a 2D Markovian approach,
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A generic 2D approach of handwriting recognition,
ICDAR05(I: 489-493).
IEEE DOI Link 0508

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Three-stage handwriting stroke extraction method with hidden loop recovery,
ICDAR05(I: 307-311).
IEEE DOI Link 0508

Long, T.[Teng], Jin, L.W.[Lian-Wen],
Hybrid recognition for one stroke style cursive handwriting characters,
ICDAR05(I: 232-236).
IEEE DOI Link 0508

Senda, S., Yamada, K.,
A maximum-likelihood approach to segmentation-based recognition of unconstrained handwriting text,
IEEE DOI Link 0109

Evreinov, G.[Grigori], Raisamo, R.[Roope],
Rapid Evaluation of the Handwriting Performance for Gesture Based Text Input,
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Lau, K.K., Yuen, P.C., Tang, Y.Y.,
Recovery of writing sequence of static images of handwriting using UWM,
IEEE Abstract. 0311

Ruiz-Pinales, J., Lecolinet, E.,
A new perceptive system for the recognition of cursive handwriting,
ICPR02(III: 53-56).
IEEE DOI Link 0211

Vuori, V.,
Clustering writing styles with a self-organizing map,
IEEE Top Reference. 0209

Tomai, C.I., Zhang, B.[Bin], Govindaraju, V.,
Transcript mapping for historic handwritten document images,
IEEE Top Reference. 0209

Park, J.S., Kang, H.J., Lee, S.W.,
Automatic Quality Measurement of Gray-scale Handwriting Based on Extended Average Entropy,
ICPR00(Vol IV: 426-429).
IEEE DOI Link 0009

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A New Morphological Method for Cursive Word Segmentation,
ICIP00(Vol II: 704-707).
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Cursive Handwriting Recognition Using the Hough Transform and a Neural Network,
ICPR00(Vol II: 231-234).
IEEE DOI Link 0009

Scagliola, C., Nicchiotti, G.,
Crisp and Fuzzy Evaluations and D.P. Algorithms for Dealing with Extra Ink in Cursive Handwriting Recognition,
ICPR00(Vol IV: 19-22).
IEEE DOI Link 0009

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Handwritten Text Retrieval Using Two-Stage Pattern Matching with Handwritten Query,
ICPR98(Vol I: 621-625).
IEEE DOI Link 9808

Wakahara, T.[Toru], Ogura, K.[Kenji],
Extended Mean Shift in Handwriting Clustering,
ICPR98(Vol I: 384-388).
IEEE DOI Link 9808

Franke, J., Gloger, J.M., Kaltenmeier, A., Mandler, E.,
A Comparison of Gaussian Distribution and Polynomial Classifiers in a Hidden Markov Model Based System for the Recognition of Cursive Script,
IEEE DOI Link 9708

Jaeger, S.,
A Psychomotor Method For Tracking Handwriting,
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Jaeger, S.,
Recovering Dynamic Information from Static, Handwritten Word Images,
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Jaeger, S.,
Recovering Writing Traces in Off-Line Handwriting Recognition: Using a Global Optimization Technique,
ICPR96(III: 150-154).
IEEE DOI Link 9608
(Daimler-Benz AG, D) BibRef

Yanikoglu, B.A., Sandon, P.A.,
Recognizing Off-Line Cursive Handwriting,
IEEE DOI Link Cursive Script. BibRef 9400

Navarro, A., Allen, C.R.[Charles R.],
Towards a writer-dependent hand-written character recogniser,
ICIP96(II: 189-192).
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Stettiner, O., Chazan, D.,
A statistical parametric model for recognition and synthesis of handwriting,
IEEE DOI Link 9410

Higgins, C.A., Ford, D.M.,
Online recognition of connected handwriting by segmentation and template matching,
IEEE DOI Link 9208

Singer, Y., Tisby, N.,
Dynamical encoding of cursive handwriting,
IEEE DOI Link 0403

Kondo, S., Maitree, K., Itoh, D., Atsuta, K.,
Structure analysis of handwriting using opposing relations,
IEEE DOI Link 9208

Kondo, S., Attachoo, B.,
Model of Handwriting Process and Its Analysis,
ICPR86(562-565). BibRef 8600

Nag, R., Wong, K.H., and Fallside, F.,
Script Recognition Using Hidden Markov Models,
ICASSP86(2071-2074). BibRef 8600

Lecolinet, E., Crettez, J.P.,
A Grapheme-Based Segmentation Technique for Cursive Script Recognition,
ICDAR91(740-xx). BibRef 9100

Wong, K.H., Fallside, F.,
Dynamic Programming in the Recognition of Connected Handwritten Script,
CAIA85(666-670). BibRef 8500

Sinha, R.M.K.,
A Knowledge Based Script Reader,
ICPR84(763-765). BibRef 8400

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Cursive Script, Word Level Recognition, Word Spotting, Language Model .

Last update:Nov 18, 2014 at 16:40:01