*Gader, P.D.*,
*Khabou, M.A.*,

**Automatic Feature Generation for Handwritten Digit Recognition**,

*PAMI(18)*, No. 12, December 1996, pp. 1256-1261.

IEEE DOI
**9701**

*Neural Networks*. Two different measures, orthogonality and information, guide the search
for features to use in the NN implementation.
Uses multiple classifiers. Recognition rates are around 98% on a test set
with 1000 digits per class.
BibRef

*Chiang, J.H.*,
*Gader, P.D.*,

**A Hybrid Feature Extraction Framework for
Handwritten Numeric Fields Recognition**,

*ICPR96*(IV: 436-440).

IEEE DOI
**9608**

(Ind. Tech. Res. Institute, ROC)
BibRef

*Knerr, S.*,
*Personnaz, L.*, and
*Dreyfus, G.*,

**Handwritten Digit Recognition by Neural Networks with
Single-Layer Training**,

*TNN(3)*, No. 6, November 1992, pp. 962-968.
BibRef
**9211**

*Calabro, C.*,
*Ferragina, P.*,
*Granieri, M.N.*,

**Recognition of Hand-Written Rotated Digits by Neural Networks**,

*MVA(8)*, No. 5, 1995, pp. 351-357.

Springer DOI
BibRef
**9500**

*Lee, S.W.[Seong-Whan]*,

**Off-Line Recognition of Totally Unconstrained Handwritten Numerals
Using Multilayer Cluster Neural-Network**,

*PAMI(18)*, No. 6, June 1996, pp. 648-652.

IEEE DOI
**9607**

BibRef

Earlier:
Add
*Kim, Y.J.[Young Joon]*, :
*ICPR94*(B:507-509).

IEEE DOI
**9410**

BibRef

*Lee, S.W.*,
*Kim, C.H.*,
*Ma, H.*,
*Tang, Y.Y.*,

**Multiresolution Recognition of Unconstrained Handwritten Numerals with
Wavelet Transform and Multilayer Cluster Neural-Network**,

*PR(29)*, No. 12, December 1996, pp. 1953-1961.

WWW Link.
**9701**

*Wavelets*.
*Neural Networks*.
BibRef

*Cho, S.B.*,

**Neural-Network Classifiers for Recognizing Totally
Unconstrained Handwritten Numerals**,

*TNN(8)*, No. 1, January 1997, pp. 43-53.
**9701**

BibRef

Earlier:

**Recognition Of Unconstrained Handwritten Numerals by
Doubly Self-Organizing Neural Network**,

*ICPR96*(IV: 426-430).

IEEE DOI
**9608**

(Yonsei Univ., KOR)
BibRef

*Cao, J.*,
*Ahmadi, M.*,
*Shridhar, M.*,

**A Hierarchical Neural-Network Architecture for
Handwritten Numeral Recognition**,

*PR(30)*, No. 2, February 1997, pp. 289-294.

WWW Link.
**9704**

BibRef

*Cao, J.*,
*Shridhar, M.*,
*Kimura, F.*,
*Ahmadi, M.*,

**Statistical and neural classification of handwritten numerals: a
comparative study**,

*ICPR92*(II:643-646).

IEEE DOI
**9208**

BibRef

*Reddy, N.V.S.*,
*Nagabhushan, P.*,

**A 3-Dimensional Neural-Network Model for
Unconstrained Handwritten Numeral Recognition: A New Approach**,

*PR(31)*, No. 5, May 1998, pp. 511-516.

WWW Link.
**9805**

BibRef

*Hwang, Y.S.[Young-Sup]*,
*Bang, S.Y.[Sung-Yang]*,

**Recognition of Unconstrained Handwritten Numerals by a
Radial Basis Function Neural Network Classifier**,

*PRL(18)*, No. 7, July 1997, pp. 657-664.
**9711**

BibRef

Earlier:

**An Efficient Method to Construct a Radial Basis Function
Neural Network Classifier and its Application to Unconstrained
Handwritten Digit Recognition**,

*ICPR96*(IV: 640-644).

IEEE DOI
**9608**

(Pohang Institute of Science, KOR)
BibRef

*Lee, S.W.*,
*Kim, S.Y.*,

**Integrated Segmentation and Recognition of Handwritten Numerals with
Cascade Neural Network**,

*SMC-C(29)*, No. 2, May 1999, pp. 285.

IEEE Top Reference.
BibRef
**9905**

*Zhou, J.[Jie]*,
*Gan, Q.A.[Qi-Ang]*,
*Krzyzak, A.[Adam]*,
*Suen, C.Y.[Ching Y.]*,

**Recognition of handwritten numerals by Quantum Neural Network with
fuzzy features**,

*IJDAR(2)*, No. 1, 1999, pp. 30-36.
BibRef
**9900**

*Wang, J.G.[Jian-Guo]*,
*Yan, H.[Hong]*,

**A hybrid method for unconstrained handwritten numeral recognition by
combining structural and neural 'gas' classifiers**,

*PRL(21)*, No. 6-7, June 2000, pp. 625-635.
**0006**

See also Model-Based Segmentation Method for Handwritten Numeral Strings, A.
BibRef

*Zhang, B.L.[Bai-Ling]*,
*Fu, M.Y.[Min-Yue]*,
*Yan, H.[Hong]*,

**A nonlinear neural network model of mixture of local principal
component analysis: application to handwritten digits recognition**,

*PR(34)*, No. 2, February 2001, pp. 203-214.

WWW Link.
**0011**

BibRef

*Zhang, B.L.[Bai-Ling]*,
*Fu, M.Y.[Min-Yue]*,
*Yan, H.[Hong]*,

**A Modular Classification Scheme with Elastic Net Models for
Handwritten Digit Recognition**,

*ICPR98*(Vol II: 1859-1861).

IEEE DOI
**9808**

BibRef

IEEE DOI

BibRef

*Wong, K.W.[Kwok-Wo]*,
*Leung, C.S.[Chi-Sing]*,
*Chang, S.J.[Sheng-Jiang]*,

**Handwritten digit recognition using multi-layer feedforward neural
networks with periodic and monotonic activation functions**,

*ICPR02*(III: 106-109).

IEEE DOI
**0211**

BibRef

*Kim, H.Y.[Ho-Yon]*,
*Lim, K.T.[Kil-Taek]*,
*Nam, Y.S.[Yun-Seok]*,

**Handwritten numeral string recognition using neural network classifier
trained with negative data**,

*FHR02*(395-400).

IEEE Top Reference.
**0209**

BibRef

*Lim, K.T.[Kil-Taek]*,
*Chien, S.I.[Sung-Il]*,

**Neural Network Based Feature Space Generation for
Multiple Databases of Handwritten Numerals**,

*ICPR98*(Vol I: 375-377).

IEEE DOI
**9808**

BibRef

*Kawaguchi, T.*,
*Nagata, R.I.*,
*Miyake, Y.[Yasuji]*,
*Inoue, S.*,
*Wakabayashi, T.[Tetsushi]*,
*Kimura, F.[Fumitaka]*,
*Tsuruoka, S.*,

**Handwritten Numeral Recognition Using
Autoassociative Neural Networks**,

*ICPR98*(Vol I: 166-171).

IEEE DOI
**9808**

BibRef

*Lin, X.*,
*Ding, X.*,
*Wu, Y.*,

**Handwritten Numeral Recognition Using MFNN Based Multiexpert
Combination Strategy**,

*ICDAR97*(471-474).

IEEE DOI
**9708**

BibRef

*Lee, S.*, and
*Pan, J.C.*,

**Handwritten Numeral Recognition Based on Hierarchically
Self-Organizing Learning Networks with Spatio-Temporal Pattern Recognition**,

*CVPR92*(176-182).

IEEE DOI
BibRef
**9200**

*Williams, C.K.I.*,

**Combining Deformable Models and Neural Networks for
Handprinted Digit Recognition**,

*Ph.D.*Thesis, 1994,
BibRef
**9400**
*Toronto*
BibRef

*Lemarie, B.*,

**Practical Implementation of a Radial Basis Function Network for
Handwritten Digit Recognition**,

*ICDAR93*(412-415).
BibRef
**9300**

*Tsay, S.C.[Shuh-Chuan]*,
*Hong, P.R.[Peir-Ren]*,
*Chieu, B.C.[Bin-Chang]*,

**Handwritten digits recognition system via OCON neural network by
pruning selective update**,

*ICPR92*(II:656-659).

IEEE DOI
**9208**

BibRef

Chapter on OCR, Document Analysis and Character Recognition Systems continues in

Money and Check Processing -- Amounts, etc. .

Last update:Feb 19, 2018 at 12:15:17