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IEEE DOI Link
1008
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ICPR10(2873-2876).
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Wakahara, T.,
Multi-template GAT correlation for character recognition with a limited
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ICDAR05(II: 824-828).
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Earlier:
Shape matching using GAT correlation against nonlinear distortion and
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ICDAR03(54-59).
IEEE Abstract.
0311
See also Online Cursive Kanji Character Recognition Using Stroke Based Affine Transformation.
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9705
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Ha, T.M.,
Efficient detection of abnormalities in large OCR databases,
ICDAR97(1006-1010).
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Chiang, J.H.,
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IEEE Abstract.
IEEE DOI Link
9712
Generate description using large family of binary features (every
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Apply to NIST dataset.
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Template Matching.
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ICDAR97(303-307).
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0012
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Earlier:
Segmentation of Handwritten Connected Numeral String Using Background
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IEEE DOI Link
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Skeleton approach.
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0102
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0201
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ICDAR01(1007-1011).
IEEE DOI Link
0109
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Wakabayashi, T.,
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ICDAR01(338-343).
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0109
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PR(35), No. 11, November 2002, pp. 2355-2364.
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Earlier:
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0005
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Chen, G.Y.,
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0304
BibRef
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0510
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PR(38), No. 7, July 2005, pp. 947-963.
WWW Version.
0505
BibRef
Zhang, P.,
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ICDAR05(I: 136-140).
IEEE DOI Link
0508
BibRef
Earlier: A1, A3, A2:
Multi-modal nonlinear feature reduction for the recognition of
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CRV04(393-400).
IEEE Abstract.
0408
BibRef
Bellili, A.,
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IJDAR(5), No. 4, July 2003, pp. 244-252.
HTML Version.
0308
BibRef
Earlier:
An hybrid MLP-SVM handwritten digit recognizer,
ICDAR01(28-32).
IEEE DOI Link
0109
BibRef
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0412
BibRef
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0510
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PRL(27), No. 1, 1 January 2006, pp. 66-75.
WWW Version.
0512
BibRef
Sung, J.M.[Jae-Mo],
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IEEE DOI Link
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BibRef
Sung, J.M.[Jae-Mo],
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HTML Version.
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Savas, B.[Berkant],
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PR(40), No. 3, March 2007, pp. 993-1003.
WWW Version.
0611
Tensors; Higher order singular value decomposition;
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PR(40), No. 3, March 2007, pp. 863-874.
WWW Version.
0611
Kernel method; Novelty detection; PCA; Handwritten digit; Breast cancer
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Suresh, R.M.,
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IVC(25), No. 2, February 2007, pp. 230-239.
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0701
Fuzzy logic; Fuzzy context-free grammar; Preprocessing;
Polygonal approximation; Segmentation; Labeling; Handwritten numerals;
Modified parsing algorithm
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Lauer, F.[Fabien],
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PR(40), No. 6, June 2007, pp. 1816-1824.
WWW Version.
0704
Character recognition; Support vector machines; Convolutional neural networks;
Feature extraction; Elastic distortion
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Hanmandlu, M.[Madasu],
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Fuzzy model based recognition of handwritten numerals,
PR(40), No. 6, June 2007, pp. 1840-1854.
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0704
Box approach; Fuzzy sets; Membership function; Structural parameters; Entropy
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Hanmandlu, M.[Madasu],
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DAGM03(204-211).
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Zhang, P.[Ping],
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PR(40), No. 12, December 2007, pp. 3415-3429.
WWW Version.
0709
Handwritten digit recognition; Hybrid feature extraction;
Cascade classifier system; Rejection criteria; Ensemble classifier;
Gating networks; Neural networks; Genetic algorithms
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Zhou, J.[Jie],
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PR(41), No. 1, January 2008, pp. 67-76.
WWW Version.
0710
Multi-class classification; Error Correcting Output Coding (ECOC);
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Handwritten numeral recognition; Gene expression classification
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Kherallah, M.[Monji],
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PRL(29), No. 5, 1 April 2008, pp. 580-594.
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0802
Handwriting modeling; Stroke overlapping; Elliptic trajectory modeling;
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Vellasques, E.,
Oliveira, L.S.,
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Sabourin, R.,
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PR(41), No. 10, October 2008, pp. 3044-3053.
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0808
Segmentation; Filtering
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Ko, A.H.R.[Albert Hung-Ren],
Cavalin, P.R.[Paulo Rodrigo],
Sabourin, Jr., R.[Robert],
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PAMI(31), No. 12, December 2009, pp. 2168-2178.
IEEE DOI Link
0911
Generally HMM have a problem with noise. Improves recognition from 98%
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See also Evaluation of incremental learning algorithms for HMM in the recognition of alphanumeric characters.
BibRef
Oliveira, L.S.,
de Souza Britto, Jr., A.[Alceu],
Sabourin, R.,
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ICDAR05(I: 207-211).
IEEE DOI Link
0508
BibRef
Ng, G.S.[Geok See],
Erdogan, S.[Sevki],
Shi, D.M.[Da-Ming],
Wahab, A.[Abdul],
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0610
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Abdel Azeem, S.[Sherif],
El-Sherif, E.[Ezzat],
Arabic handwritten digit recognition,
IJDAR(11), No. 3, December 2008, pp. xx-yy.
Springer DOI Link
0804
BibRef
Lian, H.[Heng],
Bayesian Nonlinear Principal Component Analysis Using Random Fields,
PAMI(31), No. 4, April 2009, pp. 749-754.
IEEE DOI Link
0903
Efficient computation. PCA for digit recognition.
BibRef
Cavalin, P.R.[Paulo R.],
Sabourin, R.[Robert],
Suen, C.Y.[Ching Y.],
de Souza Britto, Jr., A.[Alceu],
Evaluation of incremental learning algorithms for HMM in the
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PR(42), No. 12, December 2009, pp. 3241-3253,.
Elsevier DOI Link
WWW Version.
0909
Incremental learning; Hidden Markov models; Ensembles of classifiers;
Handwriting recognition; Isolated digits; Uppercase letters
See also Leave-One-Out-Training and Leave-One-Out-Testing Hidden Markov Models for a Handwritten Numeral Recognizer: The Implications of a Single Classifier and Multiple Classifications.
BibRef
Hamidi, M.[Mandana],
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MVA(21), No. 6, October 2010, pp. 969-979.
WWW Version.
1011
BibRef
He, C.L.[Chun Lei],
Lam, L.[Louisa],
Suen, C.Y.[Ching Y.],
Rejection measurement based on linear discriminant analysis for
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IJDAR(14), No. 3, September 2011, pp. 263-272.
WWW Version.
1109
BibRef
Earlier:
A Novel Rejection Measurement in Handwritten Numeral Recognition Based
on Linear Discriminant Analysis,
ICDAR09(451-455).
IEEE DOI Link
0907
BibRef
He, C.L.[Chun Lei],
Lam, L.[Louisa],
Suen, C.Y.[Ching Y.],
Automatic Discrimination between Confusing Classes with Writing Styles
Verification in Arabic Handwritten Numeral Recognition,
ICPR10(2045-2048).
IEEE DOI Link
1008
BibRef
He, C.L.[Chun Lei],
Suen, C.Y.[Ching Y.],
Error Reduction Based on Error Categorization in Arabic Handwritten
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FHR10(463-468).
IEEE DOI Link
1011
BibRef
Niu, X.X.[Xiao-Xiao],
Suen, C.Y.[Ching Y.],
A novel hybrid CNN-SVM classifier for recognizing handwritten digits,
PR(45), No. 4, April 2012, pp. 1318-1325.
Elsevier DOI Link
WWW Version.
1112
Hybrid model; Convolutional Neural Network; Support Vector Machine;
Handwritten digit recognition
BibRef
de Santana Pereira, C.[Cristiano],
Cavalcanti, G.D.C.[George D.C.],
Handwritten connected digits detection:
An approach using instance selection,
ICIP11(2613-2616).
IEEE DOI Link
1201
BibRef
Li, P.[Peng],
Li, R.[Rui],
The research on arabic numeral symbol's use in poster design,
IASP11(67-70).
IEEE DOI Link
1112
Not recognition, but history.
BibRef
Gimenez, A.[Adria],
Andres-Ferrer, J.,
Juan, A.[Alfons],
Serrano, N.[Nicolás],
Discriminative Bernoulli Mixture Models for Handwritten Digit
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ICDAR11(558-562).
IEEE DOI Link
1111
BibRef
Nobile, N.[Nicola],
He, C.L.[Chun Lei],
Sagheer, M.W.[Malik Waqas],
Lam, L.[Louisa],
Suen, C.Y.[Ching Y.],
Digit/Symbol Pruning and Verification for Arabic Handwritten
Digit/Symbol Spotting,
ICDAR11(648-652).
IEEE DOI Link
1111
BibRef
Mizukami, Y.[Yoshiki],
Tadamura, K.[Katsumi],
Warrell, J.[Jonathan],
Li, P.[Peng],
Prince, S.J.D.[Simon J.D.],
CUDA Implementation of Deformable Pattern Recognition and its
Application to MNIST Handwritten Digit Database,
ICPR10(2001-2004).
IEEE DOI Link
1008
BibRef
Impedovo, S.[Sebastiano],
Pirlo, G.[Giuseppe],
Tuning between Exponential Functions and Zones for Membership Functions
Selection in Voronoi-Based Zoning for Handwritten Character Recognition,
ICDAR11(997-1001).
IEEE DOI Link
1111
BibRef
Impedovo, S.[Sebastiano],
Modugno, R.[Raffaele],
Pirlo, G.[Giuseppe],
Analysis of Membership Functions for Voronoi-Based Classification,
FHR10(220-225).
IEEE DOI Link
1011
BibRef
And:
Membership Functions for Zoning-Based Recognition of Handwritten Digits,
ICPR10(1876-1879).
IEEE DOI Link
1008
BibRef
Lawal, I.A.[Isah A.],
Abdel-Aal, R.E.[Radwan E.],
Mahmoud, S.A.[Sabri A.],
Recognition of Handwritten Arabic (Indian) Numerals Using Freeman's
Chain Codes and Abductive Network Classifiers,
ICPR10(1884-1887).
IEEE DOI Link
1008
BibRef
Bulacu, M.[Marius],
Brink, A.A.[Axel A.],
van der Zant, T.[Tijn],
Schomaker, L.R.B.[Lambert R.B.],
Recognition of Handwritten Numerical Fields in a Large Single-Writer
Historical Collection,
ICDAR09(808-812).
IEEE DOI Link
0907
BibRef
Seijas, L.[Leticia],
Segura, E.[Enrique],
Detection of Ambiguous Patterns Using SVMs:
Application to Handwritten Numeral Recognition,
CAIP09(840-847).
Springer DOI Link
0909
BibRef
Romero, D.[Diego],
Ruedin, A.[Ana],
Seijas, L.[Leticia],
Wavelet-Based Feature Extraction for Handwritten Numerals,
CIAP09(374-383).
Springer DOI Link
0909
BibRef
Alamri, H.[Huda],
He, C.L.[Chun Lei],
Suen, C.Y.[Ching Y.],
A New Approach for Segmentation and Recognition of Arabic Handwritten
Touching Numeral Pairs,
CAIP09(165-172).
Springer DOI Link
0909
BibRef
Gass, T.[Tobias],
Deselaers, T.[Thomas],
Ney, H.[Hermann],
Deformation-Aware Log-Linear Models,
DAGM09(201-210).
Springer DOI Link
0909
BibRef
Yu, X.G.[Xin-Guo],
Li, Y.Q.[Yi-Qun],
Lee, W.S.[Wei San],
Robust time recognition of video clock based on digit transition
detection and digit-sequence recognition,
ICPR08(1-4).
IEEE DOI Link
0812
BibRef
López-Leyva, L.O.[Luis Octavio],
Yáñez-Márquez, C.[Cornelio],
Flores-Carapia, R.[Rolando],
Camacho-Nieto, O.[Oscar],
Handwritten Digit Classification Based on Alpha-Beta Associative Model,
CIARP08(437-444).
Springer DOI Link
0809
BibRef
Yektaii, M.[Mahdi],
Bhattacharya, P.[Prabir],
Cumulative Global Distance for Dimension Reduction in Handwritten
Digits Database,
Visual07(216-222).
Springer DOI Link
0706
BibRef
Huang, K.[Kaizhu],
Sun, J.[Jun],
Hotta, Y.[Yoshinobu],
Fujimoto, K.[Katsuhito],
Naoi, S.[Satoshi],
An SVM-Based High-accurate Recognition Approach for Handwritten
Numerals by Using Difference Features,
ICDAR07(589-593).
IEEE DOI Link
0709
BibRef
Chen, X.F.[Xue-Feng],
Liu, X.B.[Xia-Bi],
Jia, Y.D.[Yun-De],
Unsupervised Selection and Discriminative Estimation of Orthogonal
Gaussian Mixture Models for Handwritten Digit Recognition,
ICDAR09(1151-1155).
IEEE DOI Link
0907
BibRef
Earlier:
Learning Handwritten Digit Recognition by the Max-Min Posterior
Pseudo-Probabilities Method,
ICDAR07(342-346).
IEEE DOI Link
0709
BibRef
Hotta, S.,
Transform-Invariance in Local Averaging Classifier for Handwritten
Digit Pattern Recognition,
ICDAR07(347-351).
IEEE DOI Link
0709
BibRef
Bernard, S.,
Adam, S.,
Heutte, L.,
Using Random Forests for Handwritten Digit Recognition,
ICDAR07(1043-1047).
IEEE DOI Link
0709
BibRef
Zheng, L.H.[Li-Hong],
He, X.J.[Xiang-Jian],
Wu, Q.A.[Qi-Ang],
Hintz, T.,
Learning-Based Number Recognition on Spiral Architecture,
ICARCV06(1-5).
IEEE DOI Link
0612
BibRef
Zhang, X.L.[Xiao-Li],
Nagy, G.[George],
Style Quantification of Scanned Multi-source Digits,
ICPR06(II: 1018-10121).
IEEE DOI Link
0609
BibRef
Duong, J.,
Emptoz, H.,
Cascade classifier: design and application to digit recognition,
ICDAR05(II: 1065-1069).
IEEE DOI Link
0508
BibRef
Cecotti, H.,
Belaid, A.,
Rejection strategy for convolutional neural network by adaptive
topology applied to handwritten digits recognition,
ICDAR05(II: 765-769).
IEEE DOI Link
0508
See also Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces.
BibRef
Fan, X.D.[Xiao-Dong],
Efficient Multiclass Object Detection by a Hierarchy of Classifiers,
CVPR05(I: 716-723).
IEEE DOI Link
0507
Rather than multiple classifiers, 1 per object class, a hierarchical approach.
Detection of digits.
BibRef
Ng, G.S.,
Murali, T.,
Wahab, A.,
Sriskanthan, N.,
Classification of handwritten digits using evolving fuzzy neural
network,
ICARCV04(II: 1410-1415).
IEEE DOI Link
0412
BibRef
Miller, E.G.[Erik G.],
Chef d'hotel, C.[Christophe],
Practical non-parametric density estimation on a transformation group
for vision,
CVPR03(II: 114-121).
IEEE Abstract.
0307
propose a suitable invariant estimator on the linear group of
non-singular matrices with positive determinant.
Apply to digit recognition.
BibRef
Yamaguchi, T.,
Nakano, Y.,
Maruyama, M.,
Miyao, H.,
Hananoi, T.,
Digit classification on signboards for telephone number recognition,
ICDAR03(359-363).
IEEE Abstract.
0311
BibRef
Valveny, E.,
Lopez, A.,
Numeral recognition for quality control of surgical sachets,
ICDAR03(379-383).
IEEE Abstract.
0311
BibRef
Muramatsu, H.,
Kobayashi, T.,
Sugiyama, T.,
Abe, K.,
Improvement of matching and evaluation in handwritten numeral
recognition using flexible standard patterns,
ICDAR03(273-277).
IEEE Abstract.
0311
BibRef
Kobayashi, T.,
Nakamura, K.,
Muramatsu, H.,
Sugiyama, T.,
Abe, K.,
Handwritten numeral recognition using flexible matching based on
learning of stroke statistics,
ICDAR01(612-616).
IEEE DOI Link
0109
BibRef
Takahashi, K.,
Nishiwaki, D.,
A class-modular GLVQ ensemble with outlier learning for handwritten
digit recognition,
ICDAR03(268-272).
IEEE Abstract.
0311
BibRef
Srihari, S.N.,
Tomai, C.I.,
Zhang, B.[Bin],
Lee, S.J.[Sang-Jik],
Individuality of numerals,
ICDAR03(1096-1100).
IEEE Abstract.
0311
BibRef
de Avila, S.[Sandra],
Matos, L.[Leonardo],
Freitas, C.[Cinthia],
de Carvalho, J.M.[João M.],
Evaluating a Zoning Mechanism and Class-Modular Architecture for
Handwritten Characters Recognition,
CIARP07(515-524).
Springer DOI Link
0711
BibRef
Correia, S.E.N.,
de Carvalho, J.M.,
Sabourin, R.,
On the performance of wavelets for handwritten numerals recognition,
ICPR02(III: 127-130).
IEEE DOI Link
0211
BibRef
Kim, K.K.[Kye Kyung],
Chung, Y.K.[Yun Koo],
Suen, C.Y.,
Post-processing scheme for improving recognition performance of
touching handwritten numeral strings,
ICPR02(III: 327-330).
IEEE DOI Link
0211
BibRef
de Souza Britto, Jr., A.[Alceu],
Sabourin, R.,
Bortolozzi, F.,
Suen, C.Y.,
A string length predictor to control the level building of HMMs for
handwritten numeral recognition,
ICPR02(IV: 31-34).
IEEE DOI Link
0211
BibRef
Soares de Oliveira, L.E.,
Lethelier, E.,
Bortolozzi, F.,
Sabourin, R.,
A New Segmentation Approach for Handwritten Digits,
ICPR00(Vol II: 323-326).
IEEE DOI Link
0009
BibRef
Ayat, N.E.,
Cheriet, M.,
Suen, C.Y.,
KMOD: A two-parameter SVM kernel for pattern recognition,
ICPR02(III: 331-334).
IEEE DOI Link
0211
BibRef
And:
Empirical error based optimization of SVM kernels:
Application to digit image recognition,
FHR02(292-297).
IEEE Top Reference.
0209
BibRef
Zhang, R.[Rui],
Ding, X.Q.[Xiao-Qing],
Offline Handwritten Numeral Recognition Using Orthogonal Gaussian
Mixture Model,
ICIP01(I: 1126-1129).
IEEE Abstract.
0108
BibRef
Zhang, R.[Rui],
Ding, X.Q.[Xiao-Qing],
Zhang, J.Y.[Jia-Yong],
Offline handwritten character recognition based on discriminative
training of orthogonal Gaussian mixture model,
ICDAR01(221-225).
IEEE DOI Link
0109
BibRef
Ratzlaff, E.H.,
A scanning n-tuple classifier for online recognition of handwritten
digits,
ICDAR01(18-22).
IEEE DOI Link
0109
BibRef
Ye, X.Y.[Xiang-Yun],
Cheriet, M.,
Suen, C.Y.,
A framework of combining numeric string recognizers,
ICDAR01(716-720).
IEEE DOI Link
0109
BibRef
Ayat, N.E.,
Cheriet, M.,
Remaki, L.,
Suen, C.Y.,
KMOD: a new support vector machine kernel with moderate decreasing for
pattern recognition. Application to digit image recognition,
ICDAR01(1215-1219).
IEEE DOI Link
0109
BibRef
Singh, S.,
Hewitt, M.,
Cursive Digit and Character Recognition on Cedar Database,
ICPR00(Vol II: 569-572).
IEEE DOI Link
0009
BibRef
Zhao, B.,
Liu, Y.,
Xia, S.W.,
Support Vector Machine and Its Application in Handwritten Numeral
Recognition,
ICPR00(Vol II: 720-723).
IEEE DOI Link
0009
BibRef
Grim, J.[Jiri],
Pudil, P.,
Somol, P.[Petr],
Multivariate Structural Bernoulli Mixtures for Recognition of
Handwritten Numerals,
ICPR00(Vol II: 585-589).
IEEE DOI Link
0009
BibRef
Ping, Z.[Zhang],
Lihui, C.[Chen],
Kot, A.C.,
A Floating Feature Detector for Handwritten Numeral Recognition,
ICPR00(Vol II: 553-556).
IEEE DOI Link
0009
BibRef
Nóbrega-Correia, S.E.N.,
de Carvalho, J.M.[J. Marques],
Optimizing the Recognition Rates of Unconstrained Handwritten Numerals
Using Biorthogonal Spline Wavelets,
ICPR00(Vol II: 251-254).
IEEE DOI Link
0009
BibRef
Mizukami, Y.,
Sato, T.,
Tanaka, K.,
Handwritten Digit Recognition by Hierarchical Displacement Extraction
with Gradual Prototype Elimination,
ICPR00(Vol II: 339-342).
IEEE DOI Link
0009
BibRef
Yu, D.,
Analysis and Reconstruction of Broken Handwritten Digits,
ICIP00(Vol II: 700-703).
IEEE Abstract.
0008
BibRef
Teredesai, A.,
Govindaraju, V.,
Active digit classifiers: a separability optimization approach to
emulate cognition,
ICDAR01(401-405).
IEEE DOI Link
0109
BibRef
Yoon, S.S.[Sung-Soo],
Kim, G.H.[Gyeong-Hwan],
Choi, Y.W.[Yeong-Woo],
Lee, Y.B.[Yill-Byung],
New paradigm for segmentation and recognition of handwritten numeral
string,
ICDAR01(205-209).
IEEE DOI Link
0109
BibRef
Park, J.[Jaehwa],
Govindaraju, V.[Venu],
Active Character Recognition using A*-like Algorithm,
CVPR00(II: 82-87).
IEEE Abstract.
IEEE DOI Link
0005
BibRef
de Coste, D.[Dennis],
Burl, M.C.[Michael C.],
Distortion-Invariant Recognition via Jittered Queries,
CVPR00(I: 732-737).
IEEE Abstract.
IEEE DOI Link
0005
BibRef
Plamondon, R.[Rejean],
Parizeau, M.[Marc],
Li, X.L.[Xiao-Lin],
Model-Based On-Line Handwritten Digit Recognition,
ICPR98(Vol II: 1134-1136).
IEEE DOI Link
9808
BibRef
Muller, N.[Neil],
Herbst, B.M.[Ben M.],
The Use of Eigenpictures for Optical Character Recognition,
ICPR98(Vol II: 1124-1126).
IEEE DOI Link
9808
See also Building a Representative Training Set Based on Eigenimages.
BibRef
Naoi, S.,
Yabuki, M.,
Global Interpolation Method II for Handwritten Numbers Overlapping
a Border by Automatic Knowledge Acquisition of Overlapped Conditions,
ICDAR97(540-543).
IEEE DOI Link
9708
BibRef
Naoi, S.,
Hotta, Y.,
Yabuki, M.,
Asakawa, A.,
Global interpolation in the segmentation of handwritten characters
overlapping a border,
ICIP94(I: 149-153).
IEEE DOI Link
9411
BibRef
Zhou, J.,
Suen, C.Y.,
Unconstrained numeral pair recognition using enhanced error correcting
output coding: a holistic approach,
ICDAR05(I: 484-488).
IEEE DOI Link
0508
BibRef
Zhou, J.,
Gan, Q.,
Suen, C.Y.,
A High Performance Hand-Printed Numeral Recognition System
with Verification Module,
ICDAR97(293-297).
IEEE DOI Link
9708
BibRef
Shi, Z.,
Srihari, S.N.,
Shin, Y.C.,
Ramanaprasad, V.,
A System for Segmentation and Recognition of Totally
Unconstrained Handwritten Numeral Strings,
ICDAR97(455-458).
IEEE DOI Link
9708
BibRef
Yamauchi, T.,
Itamoto, Y.,
Tsukumo, J.,
Shape Based Learning for a Multi-Template Method, and
Its Application to Handprinted Numeral Recognition,
ICDAR97(495-498).
IEEE DOI Link
9708
BibRef
Zhao, B.,
Su, H.,
Xia, S.W.,
A New Method For Segmenting Unconstrained Handwritten Numeral String,
ICDAR97(524-527).
IEEE DOI Link
9708
BibRef
Kim, W.,
Paik, J.,
Lee, K.,
Lee, Y.,
Handwritten Digit Verifier for Improving Recognition Error,
ICDAR97(Tu-3A)
9708
In program, not in proceedings.
BibRef
Plamondon, R.,
Bourdeau, M.,
Validation of Preprocessing Algorithms: A Methodology and Its Application
to the Design of a Thinning Algorithm for Handwritten Characters,
ICDAR93(262-269).
BibRef
9300
Hotta, Y.,
Takebe, H.,
Suwa, M.,
Naoi, S.,
Accuracy improvement for handwritten Japanese word recognition by
combination of character and word recognizer,
ICDAR05(II: 685-689).
IEEE DOI Link
0508
BibRef
Hotta, Y.,
Naoi, S., and
Suwa, M.,
Handwritten Numeral Recognition Using Personal Handwriting Characteristics
Based on Clustering Method,
WACV96(284-289).
IEEE Abstract.
9609
BibRef
Kawatani, T.,
Shimizu, H.,
McEachern, M.,
Handwritten Numeral Recognition with the Improved LDA Method,
ICPR96(IV: 441-446).
IEEE DOI Link
9608
(Hewlett-Packard Lab. Japan, J)
BibRef
Shirali-Shahreza, M.H.,
Faez, K.,
Khotanzad, A.,
Recognition of handwritten Persian/Arabic numerals by shadow coding and
an edited probabilistic neural network,
ICIP95(III: 436-439).
IEEE DOI Link
9510
BibRef
Pan, F.[Feng],
Keane, M.,
A new set of moment invariants for handwritten numeral recognition,
ICIP94(I: 154-158).
IEEE DOI Link
9411
BibRef
Bertille, J.M.,
An Elastic Matching Approach Applied to Digit Recognition,
ICDAR93(82-85).
BibRef
9300
Fontaine, T., and
Shastri, L.,
Handprinted Digit Recognition Using Spatiotemporal
Connectionist Models,
CVPR92(169-175).
IEEE Abstract. Error rate of 1% with 14.6% rejected.
BibRef
9200
Li, X.P.[Xue-Ping],
Recognition of connected numeral strings using partial boundary
features,
ICPR92(II:677-680).
IEEE DOI Link
9208
BibRef
Kovacs-Vajna, Z.M.,
Guerrieri, R.,
Baccarani, G.,
A novel metric for nearest-neighbor classification of hand-written
digits,
ICPR92(II:96-100).
IEEE DOI Link
9208
BibRef
Schaeken, B.,
Verschueren, W.,
Rene de Cotret, Y.,
Hermanne, A.,
A Hierarchical System for Handwritten Numeral Recognition,
ICPR84(623-625).
BibRef
8400
Verschueren, W.,
Schaeken, B.,
Rene de Cotret, Y.,
Hermanne, A.,
Structural Recognition of Handwritten Numerals,
ICPR84(760-762).
BibRef
8400
Tang, G.Y.,
Tzeng, P.S.,
Hau, C.C.,
A Microcomputer System to Recognize Handwritten Numerals
Using a Syntactic-Statistic Approach,
ICPR84(1061-1064).
BibRef
8400
Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Multiple Classifiers Applied to Arabic Numbers .