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0303
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Earlier:
Performance prediction for handwritten word recognizers and its
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ICPR02(III: 241-244).
IEEE DOI Link
0211
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FHR02(123-127).
IEEE Top Reference.
0209
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Building Skeletal Graphs for Structural Feature Extraction on
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ICDAR01(96-100).
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0109
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Djioua, M.[Moussa],
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A New Algorithm and System for the Characterization of Handwriting
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0910
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ICDAR05(II: 871-875).
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0508
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ICDAR05(II: 779-783).
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0508
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ICIAR04(I: 440-446).
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0412
See also double-threshold image binarization method based on edge detector, A.
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Hoque, S.,
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0109
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Nishimura, H.,
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Off-line hand-written character recognition using integrated 1D HMMs
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ICDAR01(417-421).
IEEE DOI Link
0109
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Cha, S.H.[Sung-Hyuk],
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A priori algorithm for sub-category classification analysis of
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ICDAR01(1022-1025).
IEEE DOI Link
0109
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Earlier:
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HTML Version.
0009
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Cha, S.H.[Sung-Hyuk],
Distance between Histograms with Shuffled Cost Matrix,
SSPR08(633-643).
Springer DOI Link
0812
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Tascini, G.,
Montesanto, A.,
Puliti, P.,
Using normal patterns in handwritten character recognition,
CIAP99(997-1002).
IEEE DOI Link
9909
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Tsang, C.[Chris],
Chung, F.L.[Fu-Lai],
Development of a Structural Deformable Model for
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ICPR98(Vol II: 1130-1133).
IEEE DOI Link
9808
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Anisimovich, K.,
Rybkin, V.,
Tereschenko, V.,
Shamis, A.,
Using Combination of Structural, Feature and Raster Classifiers for
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ICDAR97(We-1B)
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Mace, S.[Sebastien],
Anquetil, E.[Eric],
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ICPR06(II: 1106-1109).
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0609
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Tsang, I.J.,
Tsang, I.R.,
Van Dyck, D.,
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ICIP98(II: 939-942).
IEEE DOI Link
9810
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Anquetil, E.,
Lorette, G.,
Perceptual Model of Handwriting Drawing, Application To the handwriting
Segmentation Problem,
ICDAR97(Mo-3A)
9708
BibRef
Miura, K.T.,
Sato, R.,
Mori, S.,
A Method Of Extracting Curvature Feature and Its Application
to Handwritten Character Recognition,
ICDAR97(Poste)
9708
BibRef
Lallican, P.M.,
Viard-Gaudin, C.,
A Kalman Approach for Stroke Order Recovering from
Off-Line Handwriting,
ICDAR97(Poste)
9708
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Hu, J.,
Yan, H.,
Structural Decomposition and Description of Printed and
Handwritten Characters,
ICPR96(III: 230-234).
IEEE DOI Link
9608
(Univ. of Sydney, AUS)
BibRef
Singh, S.,
Shape Detection Using Gradient Features for
Handwritten Character Recognition,
ICPR96(III: 145-149).
IEEE DOI Link
9608
(Univ. of Plymouth, UK)
BibRef
Pedrazzi, P.,
Colla, A.M.,
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ICIP95(III: 320-323).
IEEE DOI Link
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 Link
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 Link
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 Link
9208
BibRef
Hachimura, K.,
Decomposition of hand-printed patterns,
ICPR92(III:417-420).
IEEE DOI Link
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 .