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Travelled to:
1 × Australia
1 × Canada
1 × China
1 × India
3 × USA
3 × United Kingdom
Collaborated with:
H.Fujisawa C.Liu M.Koga T.Kagehiro H.Hao K.Marukawa T.Miyatake H.Ikeda H.Ogata A.Imaizumi N.Furukawa T.Nagasaki R.Mine Y.Okada S.Lee M.Seki H.Shinjo E.Hadano Y.Shima Y.Ueda Y.Ogawa H.Nishimura S.Watanabe T.Yasue
Talks about:
recognit (7) method (5) form (5) handwritten (4) charact (4) japanes (3) base (3) technolog (2) classifi (2) segment (2)

Person: Hiroshi Sako

DBLP DBLP: Sako:Hiroshi

Contributed to:

DRR 20102010
ICPR v3 20062006
ICPR v2 20042004
ICPR v3 20042004
DRR 20032003
ICDAR 20032003
ICPR v4 20022002
ICDAR 20012001
ICDAR 19991999
ICPR 19981998

Wrote 16 papers:

DRR-2010-Sako #self
Technologies for developing an advanced intelligent ATM with self-defence capabilities (HS), pp. 1–10.
ICPR-v3-2006-NagasakiMKS #adaptation #classification #image
A Coupon Classification Method Based on Adaptive Image Vector Matching (TN, KM, TK, HS), pp. 280–283.
Address-Block Extraction by Bayesian Rule (TK, MK, HS, HF), pp. 582–585.
ICPR-v3-2004-SakoM #automation #towards
Image-Recognition Technologies towards Advanced Automated Teller Machines (HS, TM), pp. 282–285.
DRR-2003-OgataWIYFSF #identification #implementation
Form-type identification for banking applications and its implementation issues (HO, SW, AI, TY, NF, HS, HF), pp. 208–218.
ICDAR-2003-HaoLS #classification #evaluation
Confidence Evaluation for Combining Diverse Classifiers (HH, CLL, HS), pp. 760–764.
ICDAR-2003-HaoLS03a #algorithm #classification #comparison #search-based #set
Comparison of Genetic Algorithm and Sequential Search Methods for Classifier Subset Selection (HH, CLL, HS), pp. 765–769.
ICDAR-2003-LiuSF #normalisation #recognition
Handwritten Chinese Character Recognition: Alternatives to Nonlinear Normalization (CLL, HS, HF), pp. 524–528.
ICDAR-2003-SakoSFII #identification #recognition
Form Reading based on Form-type Identification and Form-data Recognition (HS, MS, NF, HI, AI), p. 926–?.
ICPR-v4-2002-LiuSF #classification #learning #polynomial
Learning Quadratic Discriminant Function for Handwritten Character Classification (CLL, HS, HF), pp. 44–47.
ICDAR-2001-KogaMSF #2d #bottom-up #parsing #recognition #segmentation
A Recognition Method of Machine-Printed Monetary Amounts Based on the Two-Dimensional Segmentation and the Bottom-up Parsing (MK, RM, HS, HF), pp. 968–971.
ICDAR-2001-ShinjoHMSS #analysis #recognition #recursion
A Recursive Analysis for Form Cell Recognition (HS, EH, KM, YS, HS), pp. 694–698.
Information Capturing Camera and Developmental Issues (HF, HS, YO, SWL), pp. 205–208.
ICDAR-1999-IkedaOKNSF #recognition
A Recognition Method for Touching Japanese Handwritten Characters (HI, YO, MK, HN, HS, HF), pp. 641–644.
ICDAR-1999-OgataUMSF #recognition
A Method for Street Number Matching in Japanese Address Recognition (HO, YU, KM, HS, HF), pp. 321–324.
ICPR-1998-KogaKSF #analysis #segmentation #using
Segmentation of Japanese handwritten characters using peripheral feature analysis (MK, TK, HS, HF), pp. 1137–1141.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.