BibSLEIGH — Hiroshi

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: Sako:Hiroshi

Contributed to:

2010

2006

2004

2003

2002

2001

1999

1998

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.
ICPR-v2-2004-KagehiroKSF: 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.
ICDAR-1999-FujisawaSOL: 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.