23.4.6.5 Arabic Numbers, Digits, Handwritten

Chapter Contents (Back)
OCR. Character Recognition.

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A Tree Classification Algorithm for Handwritten Character Recognition,
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Shridhar, M., Badreldin, A.,
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Shridhar, M., Badreldin, A.,
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Yan, H.,
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Prototype optimization for nearest neighbor classifiers using a two-layer perceptron,
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AbuHaiba, I.S.I., Ahmed, P.,
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Chi, Z.R., Yan, H.,
Handwritten Numeral Recognition Using a Small Number of Fuzzy Rules with Optimized Defuzzification Parameters,
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Chi, Z.R., Suters, M., Yan, H.,
Handwritten Digit Recognition Using Combined ID3-Derived Fuzzy Rules and Markov-Chains,
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Chi, Z.[Zheru], Wu, J.[Jing], Yan, H.[Hong],
Handwritten numeral recognition using self-organizing maps and fuzzy rules,
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Cheng, D.H., Yan, H.,
Recognition of Handwritten Digits Based on Contour Information,
PR(31), No. 3, March 1998, pp. 235-255.
WWW Version. 9802 BibRef

Hu, J.M., Yan, H.,
Structural Primitive Extraction and Coding for Handwritten Numeral Recognition,
PR(31), No. 5, May 1998, pp. 493-509.
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Hu, J.M.[Jian-Ming], Yan, H.[Hong],
A Model-Based Segmentation Method for Handwritten Numeral Strings,
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Hu, J.M., Yu, D.G., Yan, H.,
A Multiple Point Boundary Smoothing Algorithm,
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Hu, J.M.[Jian-Ming], Yu, D.G.[Dong-Gang], Yan, H.[Hong],
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Yu, D.G.[Dong-Gang], Yan, H.[Hong], Hu, J.M.[Jian-Ming],
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Wakahara, T.,
Shape-Matching Using LAT and its Application to Handwritten Numeral Recognition,
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Wakahara, T.,
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Earlier:
Shape matching using GAT correlation against nonlinear distortion and its application to handwritten numeral recognition,
ICDAR03(54-59).
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Bailey, R.R., Srinath, M.,
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Heikkonen, J., Mantynen, N.,
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Revow, M., Williams, C.K.I., Hinton, G.E.,
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Hinton, G.E., Dayan, P., Revow, M.,
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Favata, J.T., Srikantan, G.,
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Gorski, N.D., Gorskaya, L.M.,
Estimation of Prior Probabilities for Numeral Recognition,
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Ha, T.M., Bunke, H.,
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Ha, T.M., Zimmermann, M., Bunke, H.,
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Chiang, J.H., Gader, P.D.,
Recognition of Handprinted Numerals in Visa(R) Card Application Forms,
MVA(10), No. 3, 1997, pp. 144-149.
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Amit, Y.[Yali], Geman, D.[David], Wilder, K.[Kenneth],
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PAMI(19), No. 11, November 1997, pp. 1300-1305.
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WWW Version. 9712Generate description using large family of binary features (every local geometric arrangement). Apply to NIST dataset. BibRef

Jain, A.K.[Anil K.], Zongker, D.[Douglas],
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WWW Version. 9712 Template Matching. BibRef

Hamamoto, Y., Uchimura, S., Watanabe, M., Yasuda, T., Mitani, Y., Tomita, S.,
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PR(31), No. 4, April 1998, pp. 395-400.
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Reddy, N.V.S., Nagabhushan, P.,
A Connectionist Expert System Model for Conflict Resolution in Unconstrained Handwritten Numeral Recognition,
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Kim, D.J.[Dai-Jin], Bang, S.Y.[Sung-Yang],
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Lu, Y., Schlosser, S., Janeczko, M.,
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Lou, Z., Liu, K., Yang, J.Y., Suen, C.Y.,
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Chen, Y.K.[Yi-Kai], Wang, J.F.[Jhing-Fa],
Segmentation of Single- or Multiple-Touching Handwritten Numeral String Using Background and Foreground Analysis,
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WWW Version. 0012 BibRef
Earlier:
Segmentation of Handwritten Connected Numeral String Using Background and Foreground Analysis,
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Portegys, T.E.[Thomas E.],
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Saradhi, V.V.[V. Vijaya], Murty, M.N.[M. Narasimha],
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WWW Version. 0102 BibRef

Kim, K.K.[Kye Kyung], Kim, J.H.[Jin Ho], Suen, C.Y.[Ching Y.],
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Ping, Z.[Zhang], Lihui, C.[Chen],
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Kim, H.C.[Hyun-Chul], Kim, D.J.[Dai-Jin], Bang, S.Y.[Sung Yang],
A numeral character recognition using the PCA mixture model,
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Shi, M.[Meng], Fujisawa, Y.[Yoshiharu], Wakabayashi, T.[Tetsushi], Kimura, F.[Fumitaka],
Handwritten numeral recognition using gradient and curvature of gray scale image,
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WWW Version. 0206 BibRef

Shi, M.[Meng], Ohyama, W.[Wataru], Wakabayashi, T., Kimura, F.,
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Wakabayashi, T., Shi, M., Ohyama, W., Kimura, F.,
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ICDAR01(338-343).
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Teow, L.N.[Loo-Nin], Loe, K.F.[Kia-Fock],
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PR(35), No. 11, November 2002, pp. 2355-2364.
WWW Version. 0208 BibRef
Earlier:
Handwritten Digit Recognition with a Novel Vision Model that Extracts Linearly Separable Features,
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Chen, G.Y., Bui, T.D., Krzyzak, A.,
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Chen, G.Y., Bui, T.D., Krzyzak, A.,
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Yang, L.H.[Li-Hua], Suen, C.Y.[Ching Y.], Bui, T.D.[Tien D.], Zhang, P.[Ping],
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Zhang, P., Bui, T.D., Suen, C.Y.,
Hybrid feature extraction and feature selection for improving recognition accuracy of handwritten numerals,
ICDAR05(I: 136-140).
IEEE DOI may work or IEEE-CS DOI may work. 0508 BibRef
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Multi-modal nonlinear feature reduction for the recognition of handwritten numerals,
CRV04(393-400).
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Bellili, A., Gilloux, M., Gallinari, P.,
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An hybrid MLP-SVM handwritten digit recognizer,
ICDAR01(28-32).
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Goltsev, A.[Alexander], Rachkovskij, D.[Dmitri],
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Parkins, A.D., Nandi, A.K.,
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Sung, J.[JaeMo], Bang, S.Y.[Sung-Yang], Choi, S.[Seungjin],
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Sung, J.[JaeMo], Bang, S.Y.[Sung-Yang],
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PR(40), No. 3, March 2007, pp. 993-1003.
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Suresh, R.M., Arumugam, S.,
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Lauer, F.[Fabien], Suen, C.Y.[Ching Y.], Bloch, G.[Gerard],
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Hanmandlu, M.[Madasu], Murthy, O.V.R.[O.V. Ramana],
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Hanmandlu, M.[Madasu], Yusof, M.H.M.[Mohammad Hafizuddin Mohd], Madasu, V.K.[Vamsi Krishna],
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Correia, S.E.N., de Carvalho, J.M., Sabourin, R.,
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Kim, K.K.[Kye Kyung], Chung, Y.K.[Yun Koo], Suen, C.Y.,
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de Souza Britto, Jr., A.[Alceu], Sabourin, R., Bortolozzi, F., Suen, C.Y.,
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Soares de Oliveira, L.E., Lethelier, E., Bortolozzi, F., Sabourin, R.,
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Ayat, N.E., Cheriet, M., Suen, C.Y.,
KMOD: A two-parameter SVM kernel for pattern recognition,
ICPR02(III: 331-334).
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Zhang, R.[Rui], Ding, X.Q.[Xiao-Qing],
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Zhang, R.[Rui], Ding, X.Q.[Xiao-Qing], Zhang, J.Y.[Jia-Yong],
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A scanning n-tuple classifier for online recognition of handwritten digits,
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Ayat, N.E., Cheriet, M., Remaki, L., Suen, C.Y.,
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Singh, S., Hewitt, M.,
Cursive Digit and Character Recognition on Cedar Database,
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Grim, J., Pudil, P., Somol, P.,
Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals,
ICPR00(Vol II: 585-589).
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Ping, Z.[Zhang], Lihui, C.[Chen], Kot, A.C.,
A Floating Feature Detector for Handwritten Numeral Recognition,
ICPR00(Vol II: 553-556).
IEEE DOI may work or IEEE-CS DOI may work.
HTML Version. 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 may work or IEEE-CS DOI may work.
HTML Version. 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 may work or IEEE-CS DOI may work.
HTML Version. 0009 BibRef

Yu, D.,
Analysis and Reconstruction of Broken Handwritten Digits,
ICIP00(Vol II: 700-703).
IEEE Abstract. IEEE Top Reference. 0008 BibRef

Teredesai, A., Govindaraju, V.,
Active digit classifiers: a separability optimization approach to emulate cognition,
ICDAR01(401-405).
IEEE DOI may work or IEEE-CS DOI may work. 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 may work or IEEE-CS DOI may work. 0109 BibRef

Park, J.[Jaehwa], Govindaraju, V.[Venu],
Active Character Recognition using A*-like Algorithm,
CVPR00(II: 82-87).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0005 BibRef

de Coste, D.[Dennis], Burl, M.C.[Michael C.],
Distortion-Invariant Recognition via Jittered Queries,
CVPR00(I: 732-737).
IEEE Abstract. IEEE Top Reference.
WWW Version. 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 may work or IEEE-CS DOI may work. 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 may work or IEEE-CS DOI may work. 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 Condition,
ICDAR97(Poste) 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 may work or IEEE-CS DOI may work. 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 may work or IEEE-CS DOI may work. 0508 BibRef

Zhou, J., Gan, Q., Suen, C.Y.,
A High Performance Hand-Printed Numeral Recognition System with Verification Module,
ICDAR97(Tu-2A) 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(Poste) 9708 BibRef

Yamauchi, T., Itamoto, Y., Tsukumo, J.,
Shape Based Learning for a Multi-Template Method, and Its Application to Handprinted Numeral Recognition,
ICDAR97(Poste) 9708 BibRef

Zhao, B., Su, H., Xia, S.W.,
A New Method For Segmenting Unconstrained Handwritten Numeral String,
ICDAR97(Poste) 9708 BibRef

Kim, W., Paik, J., Lee, K., Lee, Y.,
Handwritten Digit Verifier for Improving Recognition Error,
ICDAR97(Tu-3A) 9708 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 may work or IEEE-CS DOI may work. 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. IEEE Top Reference. 9609 BibRef

Kawatani, T., Shimizu, H., McEachern, M.,
Handwritten Numeral Recognition with the Improved LDA Method,
ICPR96(IV: 441-446).
IEEE DOI may work or IEEE-CS DOI may work. 9608(Hewlett-Packard Lab. Japan, J) BibRef

Hamamoto, Y., Uchimura, S., Watanabe, M., Yasuda, T., Tomita, S.,
Recognition of Handwritten Numerals Using Gabor Features,
ICPR96(III: 250-253).
IEEE DOI may work or IEEE-CS DOI may work. 9608(Yamaguchi Univ., 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 may work or IEEE-CS DOI may work. 9510 BibRef

Pan, F.[Feng], Keane, M.,
A new set of moment invariants for handwritten numeral recognition,
ICIP94(I: 154-158).
IEEE DOI may work or IEEE-CS DOI may work. 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. IEEE Top Reference. 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 may work or IEEE-CS DOI may work. 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 may work or IEEE-CS DOI may work. 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 .


Last update:Oct 1, 2008 at 09:28:47