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BibRef
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PDF File.
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IEEE Top Reference.
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ICDAR05(II: 846-850).
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0508
See also Normalization-Cooperated Gradient Feature Extraction for Handwritten Character Recognition.
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0410
Include non-character training.
SVM gave best results, but higher cost than neural
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Neural classifiers;
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Earlier:
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0311
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USPS Office of Advanced Technology Database of Handwritten Cities,
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Cedar (Buffalo) database.
Dataset, Handwriting.
WWW Link. Database for mail processing.
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Das, N.[Nibaran],
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1007
BibRef
Earlier:
Recognition of Numeric Postal Codes from Multi-script Postal Address
Blocks,
PReMI09(381-386).
Springer DOI
0912
Automatic mail sorting; Multi-script postal address block; Script
identification for numerals; Quad-tree based feature extraction;
Handwritten numeral recognition; Support vector machine
BibRef
Park, S.W.[Sung-Won],
Yang, Y.H.[Yun-Ho],
Kim, G.H.[Gyeong-Hwan],
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Dzuba, G.,
Filatov, A.,
Volgunin, A.,
Handwritten Zip Code Recognition,
ICDAR97(766-770).
IEEE DOI
9708
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Lecolinet, E., and
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A New System for Automatic Segmentation and Recognition of
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SCIA89(585).
See also Survey of Methods and Strategies in Character Segmentation, A.
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Hull, J.J.,
Srihari, S.N.,
Cohen, E.,
Kuan, L.,
Cullen, P.,
Palumbo, P.W.,
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ICPR88(I: 111-113).
IEEE DOI
BibRef
8800
Hull, J.J.,
Srihari, S.N.,
Knowledge Utilization In Handwritten Zip Code Recognition,
IJCAI87(848-850).
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8700
Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Neural Networks for Numbers and Digits .