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Elsevier DOI
0309
BibRef
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Mantas, J.,
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9211
Earlier:
Character Recognition Using Attributed Grammar,
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BibRef
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Handprinted Character Recognition.
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Neural Networks.
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See also Noise-Adaptive Discriminant Function and Its Application to Blurred Machine Printed Kanji Recognition, A.
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9903
Kato, T.,
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0009
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9907
Earlier:
Character Recognition by Geometrical Moments on
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ICDAR97(6-10).
IEEE DOI
9708
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0005
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0304
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0407
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IEEE DOI
0311
BibRef
Verma, B.,
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A neural-evolutionary approach for feature and architecture selection
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ICDAR03(1038-1042).
IEEE DOI
0311
BibRef
Blumenstein, M.,
Verma, B.,
Basli, H.,
A novel feature extraction technique for the recognition of segmented
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ICDAR03(137-141).
IEEE DOI
0311
BibRef
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0611
Handwritten character recognition; Neural networks
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Lee, H.[Hong],
Verma, B.[Brijesh],
Binary segmentation algorithm for English cursive handwriting
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PR(45), No. 4, April 2012, pp. 1306-1317.
Elsevier DOI
1112
Handwriting recognition; Segmentation algorithm; OCR; Pattern recognition
BibRef
Xue, H.H.[Han-Hong],
Govindaraju, V.[Venu],
Hidden Markov Models Combining Discrete Symbols and Continuous
Attributes in Handwriting Recognition,
PAMI(28), No. 3, March 2006, pp. 458-462.
IEEE DOI
0602
BibRef
Earlier:
A Stochastic Model Combining Discrete Symbols and Continuous Attributes
and Its Application to Handwriting Recognition,
DAS02(70 ff.).
Springer DOI
0303
BibRef
Earlier:
Performance prediction for handwritten word recognizers and its
application to classifier combination,
ICPR02(III: 241-244).
IEEE DOI
0211
BibRef
And:
Incorporating contextual character geometry in word recognition,
FHR02(123-127).
IEEE Top Reference.
0209
BibRef
Building Skeletal Graphs for Structural Feature Extraction on
Handwriting Images,
ICDAR01(96-100).
IEEE DOI
0109
Combine discrete symbols and continuous attributes for handwriting analysis.
BibRef
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Plamondon, R.[Rejean],
A New Algorithm and System for the Characterization of Handwriting
Strokes with Delta-Lognormal Parameters,
PAMI(31), No. 11, November 2009, pp. 2060-2072.
IEEE DOI
0910
Estimate strokes in handwriting. Zero crossings of derivitives.
BibRef
Plamondon, R.[Rejean],
Invited Lecture I: Strokes against Stroke - Stroke For Strides,
FHR12(363).
IEEE DOI
1302
BibRef
Plamondon, R.[Rejean],
Neuromuscular Studies of Handwriting Generation and Representation,
FHR10(261).
IEEE DOI
1011
BibRef
Plamondon, R.[Réjean],
O'Reilly, C.[Christian],
Ouellet-Plamondon, C.[Claudéric],
Strokes against stroke: strokes for strides,
PR(47), No. 3, 2014, pp. 929-944.
Elsevier DOI
1312
Stroke risk, analysis using handwriting strokes.
Complex systems
BibRef
de Stefano, C.[Claudio],
Fontanella, F.[Francesco],
Marrocco, C.,
Scotto di Freca, A.[Alessandra],
A GA-based feature selection approach with an application to
handwritten character recognition,
PRL(35), No. 1, 2014, pp. 130-141.
Elsevier DOI
1312
Feature selection
BibRef
Mishra, T.K.[Tusar Kanti],
Majhi, B.[Banshidhar],
Dash, R.[Ratnakar],
Shape descriptors-based generalised scheme for handwritten character
recognition,
IJCVR(6), No. 1-2, 2016, pp. 168-179.
DOI Link
1601
BibRef
Al-Maadeed, S.[Somaya],
Ferjani, F.[Fethi],
Elloumi, S.[Samir],
Jaoua, A.[Ali],
A novel approach for handedness detection from off-line handwriting
using fuzzy conceptual reduction,
JIVP(2016), No. 1, 2016, pp. 1.
DOI Link
1601
BibRef
He, S.[Sheng],
Samara, P.[Petros],
Burgers, J.[Jan],
Schomaker, L.[Lambert],
A Multiple-Label Guided Clustering Algorithm for Historical Document
Dating and Localization,
IP(25), No. 11, November 2016, pp. 5252-5265.
IEEE DOI
1610
Correlation. Handwriting style.
BibRef
He, S.[Sheng],
Schomaker, L.[Lambert],
A Polar Stroke Descriptor for classification of historical documents,
ICDAR15(6-10)
IEEE DOI
1511
BibRef
Simonnet, D.[Damien],
Anquetil, E.[Eric],
Bouillon, M.[Manuel],
Multi-criteria handwriting quality analysis with online fuzzy models,
PR(69), No. 1, 2017, pp. 310-324.
Elsevier DOI
1706
Handwriting analysis
BibRef
Yang, Y.T.[Yu-Ting],
Zhang, Y.M.[Yan-Ming],
Yun, X.L.[Xiao-Long],
Yin, F.[Fei],
Liu, C.L.[Cheng-Lin],
DyGAT: Dynamic stroke classification of online handwritten documents
and sketches,
PR(141), 2023, pp. 109564.
Elsevier DOI
2306
Stroke classification, Sketch semantic segmentation,
Document layout analysis, Diagram recognition, Streaming recognition
BibRef
Ye, J.Y.[Jun-Yu],
Zhang, Y.M.[Yan-Ming],
Liu, C.L.[Cheng-Lin],
Joint training of conditional random fields and neural networks for
stroke classification in online handwritten documents,
ICPR16(3264-3269)
IEEE DOI
1705
Artificial neural networks, Databases, Feature extraction,
Inference algorithms, Prediction algorithms, Training
BibRef
Yang, W.,
Jin, L.,
Ni, H.[Hao],
Lyons, T.,
Rotation-free online handwritten character recognition using dyadic
path signature features, hanging normalization, and deep neural
network,
ICPR16(4083-4088)
IEEE DOI
1705
Biological neural networks, Character recognition, Distortion,
Feature extraction, Handwriting recognition, Trajectory,
neural network, online handwritten character recognition,
path signature feature, rotation normalization, rotation-free, recognition
BibRef
Yin, F.[Fei],
Liu, P.P.[Pai Pai],
Huang, L.L.[Lin Lin],
Liu, C.L.[Cheng-Lin],
Lexicon-driven recognition of one-stroke character strings in visual
gesture,
ICDAR15(421-425)
IEEE DOI
1511
Gesture character string recognition
BibRef
Saroui, B.S.[Behrang Sabeghi],
Sorge, V.[Volker],
Trajectory recovery and stroke reconstruction of handwritten
mathematical symbols,
ICDAR15(1051-1055)
IEEE DOI
1511
Offline handwriting recognition
BibRef
Griechisch, E.[Erika],
Bencsik, E.[Erika],
Handedness detection of online handwriting based on horizontal
strokes,
ICDAR15(1272-1277)
IEEE DOI
1511
handedness;horizontal strokes;left-handed writers;online handwriting
BibRef
Wang, S.[Song],
Uchida, S.,
Liwicki, M.,
Part-Based Recognition of Arbitrary Fonts,
ICDAR13(170-174)
IEEE DOI
1312
character recognition
BibRef
Ramaiah, C.,
Shivram, A.,
Govindaraju, V.,
A Bayesian Framework for Modeling Accents in Handwriting,
ICDAR13(917-921)
IEEE DOI
1312
belief networks
BibRef
Razafindramanana, O.[Octavio],
Rayar, F.[Frederic],
Venturini, G.[Gilles],
Incremental Delaunay Triangulation Construction for Clustering,
ICPR14(1354-1359)
IEEE DOI
1412
BibRef
Earlier:
Alpha*-Approximated Delaunay Triangulation Based Descriptors for
Handwritten Character Recognition,
ICDAR13(440-444)
IEEE DOI
1312
Clustering algorithms.
approximation theory
BibRef
Stamatopoulos, N.,
Gatos, B.,
Louloudis, G.,
Pal, U.,
Alaei, A.,
ICDAR 2013 Handwriting Segmentation Contest,
ICDAR13(1402-1406)
IEEE DOI
1312
document image processing
BibRef
Hassaine, A.,
Al Maadeed, S.,
Bouridane, A.,
ICDAR 2013 Competition on Handwriting Stroke Recovery from Offline
Data,
ICDAR13(1412-1416)
IEEE DOI
1312
handwriting recognition
BibRef
Gmati, C.[Chekib],
Haboubi, S.[Sofiene],
Alaqeeli, A.[Abdulqadir],
Amiri, H.[Hamid],
A Study of Handwritten Characters by Shape Descriptors:
Doping Using the Freeman Code,
FHR12(285-290).
IEEE DOI
1302
BibRef
Gupta, K.[Kamal],
Bansal, M.[Manish],
Chaudhury, S.[Santanu],
A Compression Scheme for Handwritten Patterns Based on Curve Fitting,
ICDAR11(1115-1119).
IEEE DOI
1111
BibRef
Uchida, S.[Seiichi],
Sasaki, T.[Toru],
Yaokai, F.[Feng],
A Generative Model for Handwritings Based on Enhanced Feature
Desynchronization,
ICDAR11(589-593).
IEEE DOI
1111
BibRef
Song, W.[Wang],
Uchida, S.[Seiichi],
Liwicki, M.[Marcus],
Comparative Study of Part-Based Handwritten Character Recognition
Methods,
ICDAR11(814-818).
IEEE DOI
1111
BibRef
And:
Look Inside the World of Parts of Handwritten Characters,
ICDAR11(784-788).
IEEE DOI
1111
BibRef
Uchida, S.[Seiichi],
Liwicki, M.[Marcus],
Part-Based Recognition of Handwritten Characters,
FHR10(545-550).
IEEE DOI
1011
BibRef
And:
Analysis of Local Features for Handwritten Character Recognition,
ICPR10(1945-1948).
IEEE DOI
1008
BibRef
Duval, M.A.[Miguel A.],
Vega-Pons, S.[Sandro],
Garea, E.[Eduardo],
Experimental Comparison of Orthogonal Moments as Feature Extraction
Methods for Character Recognition,
CIARP10(394-401).
Springer DOI
1011
BibRef
Rui, C.[Chen],
Cao, B.J.[Bei-Jun],
Asharif, M.R.,
Yamashita, K.,
Character Recognition Algorithm Based on the Central Location and Polar
Projection,
CISP09(1-4).
IEEE DOI
0910
BibRef
Du, J.M.[Jia-Ming],
Wang, C.L.[Chao-Li],
Liang, S.L.[Shu-Ling],
Liang, Z.Y.[Zhen-Ying],
A Recognition Algorithm for Letter Digital Images Based on the Centroid,
CISP09(1-4).
IEEE DOI
0910
Features of letters.
BibRef
Lu, S.J.,
Li, L.,
Tan, C.L.[Chew Lim],
Identification of Latin-Based Languages through Character Stroke
Categorization,
ICDAR07(352-356).
IEEE DOI
0709
BibRef
Liu, Y.H.[Ying-Ho],
Lin, C.C.[Chin-Chin],
Lin, W.H.[Wen-Hsiung],
Chang, F.[Fu],
Fast vector matching methods and their applications to handwriting
recognition,
ICDAR05(II: 871-875).
IEEE DOI
0508
BibRef
Kang, S.[Sijun],
Govindaraju, V.,
A new feature ranking method in a HMM-based handwriting recognition
system,
ICDAR05(II: 779-783).
IEEE DOI
0508
BibRef
Rico-Juan, J.R.[Juan Ramón],
Micó, L.[Luisa],
Finding Significant Points for a Handwritten Classification Task,
ICIAR04(I: 440-446).
Springer DOI
0409
BibRef
Sun, Q.S.[Quan-Sen],
Zeng, S.G.[Sheng-Gen],
Heng, P.A.[Pheng-Ann],
Xia, D.S.[De-Sen],
Feature Fusion Method Based on Canonical Correlation Analysis and
Handwritten Character Recognition,
ICARCV04(II: 1547-1552).
IEEE DOI
0412
See also double-threshold image binarization method based on edge detector, A.
BibRef
Hoque, S.,
Sirlantzis, K.,
Fairhurst, M.C.,
A new chain-code quantization approach enabling high performance
handwriting recognition based on multi-classifier schemes,
ICDAR03(834-838).
IEEE DOI
0311
BibRef
Bodansky, E.[Eugene],
Gribov, A.[Alexander],
Closing Gaps of Discontinuous Lines:
A New Criterion for Choosing the Best Prolongation,
DAS02(119 ff.).
Springer DOI
0303
BibRef
Ruiz, A.,
Affine alignment for stroke classification,
FHR02(381-386).
IEEE Top Reference.
0209
BibRef
Sadykhov, R.,
Malenko, O.,
Klimovich, A.N.,
Selinger, M.L.,
Hybrid System for Recognition of Handwritten Symbols on the Base of
Structural Methods and Neural Networks,
VI02(223).
PDF File.
0208
BibRef
Houle, G.F.,
Blinova, K.,
Shridhar, M.,
Handwriting stroke extraction using a new XYTC transform,
ICDAR01(91-95).
IEEE DOI
0109
BibRef
Nishimura, H.,
Tsutsumi, M.,
Off-line hand-written character recognition using integrated 1D HMMs
based on feature extraction filters,
ICDAR01(417-421).
IEEE DOI
0109
BibRef
Cha, S.H.[Sung-Hyuk],
Srihari, S.N.,
A priori algorithm for sub-category classification analysis of
handwriting,
ICDAR01(1022-1025).
IEEE DOI
0109
BibRef
Earlier:
Distance Between Histograms of Angular Measurements and Its Application
to Handwritten Character Similarity,
ICPR00(Vol II: 21-24).
IEEE DOI
0009
BibRef
Cha, S.H.[Sung-Hyuk],
Distance between Histograms with Shuffled Cost Matrix,
SSPR08(633-643).
Springer DOI
0812
BibRef
Tascini, G.,
Montesanto, A.,
Puliti, P.,
Using normal patterns in handwritten character recognition,
CIAP99(997-1002).
IEEE DOI
9909
BibRef
Tsang, C.[Chris],
Chung, F.L.[Fu-Lai],
Development of a Structural Deformable Model for
Handwriting Recognition,
ICPR98(Vol II: 1130-1133).
IEEE DOI
9808
BibRef
Anisimovich, K.,
Rybkin, V.,
Tereschenko, V.,
Shamis, A.,
Using Combination of Structural, Feature and Raster Classifiers for
Recognition of Hand-Printed Characters,
ICDAR97(881-885).
IEEE DOI
9708
BibRef
Mace, S.[Sebastien],
Anquetil, E.[Eric],
A Generic Method for Eager Interpretation of On-Line Handwritten
Structured Documents,
ICPR06(II: 1106-1109).
IEEE DOI
0609
BibRef
Tsang, I.J.,
Tsang, I.R.,
van Dyck, D.,
Handwritten character recognition based on moment features derived from
image partition,
ICIP98(II: 939-942).
IEEE DOI
9810
BibRef
Anquetil, E.,
Lorette, G.,
Perceptual Model of Handwriting Drawing, Application To the handwriting
Segmentation Problem,
ICDAR97(112-117).
IEEE DOI
9708
BibRef
Miura, K.T.,
Sato, R.,
Mori, S.,
A Method Of Extracting Curvature Features and Its Application
to Handwritten Character Recognition,
ICDAR97(450-454).
IEEE DOI
9708
BibRef
Lallican, P.M.,
Viard-Gaudin, C.,
A Kalman Approach for Stroke Order Recovering from
Off-Line Handwriting,
ICDAR97(519-522).
IEEE DOI
9708
BibRef
Hu, J.,
Yan, H.,
Structural Decomposition and Description of Printed and
Handwritten Characters,
ICPR96(III: 230-234).
IEEE DOI
9608
(Univ. of Sydney, AUS)
BibRef
Singh, S.,
Shape Detection Using Gradient Features for
Handwritten Character Recognition,
ICPR96(III: 145-149).
IEEE DOI
9608
(Univ. of Plymouth, UK)
BibRef
Pedrazzi, P.,
Colla, A.M.,
Simple feature extraction for handwritten character recognition,
ICIP95(III: 320-323).
IEEE DOI
9510
BibRef
Cheriet, M.,
Thibault, R.,
Sabourin, R.,
A multi-resolution based approach for handwriting segmentation in
gray-scale images,
ICIP94(I: 159-163).
IEEE DOI
9411
BibRef
Liu, K.[Ke],
Huang, Y.S.[Yea-Shuan],
Suen, C.Y.,
Yang, J.Y.[Jing-Yu],
Liu, L.J.[Lei-Jian],
Liu, Y.J.[Ying-Jiang],
Discriminant performance of the algebraic features of handwritten
character images,
ICPR94(B:426-428).
IEEE DOI
9410
BibRef
Rauber, T.W.,
Steiger-Garcao, A.S.,
Shape description by UNL Fourier features-an application to handwritten
character recognition,
ICPR92(II:466-469).
IEEE DOI
9208
BibRef
Hachimura, K.,
Decomposition of hand-printed patterns,
ICPR92(III:417-420).
IEEE DOI
9208
BibRef
Pan, B.C.,
Floating Mask Method for Extracting Hand-Printed Character Features,
ICPR86(324-326).
BibRef
8600
Babaguchi, N.,
Tsukamoto, M.,
Aibara, T.,
Knowledge Aided Character Segmentation from Handwritten Document Image,
ICPR86(573-575).
BibRef
8600
Cordella, L.P.,
Marcelli, A.,
Normalization and Decomposition of Thin Lines Representing
Handprinted Characters,
ICPR86(723-725).
BibRef
8600
Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Online Recognition of Handwritten Characters .