BibSLEIGH — Hiromichi

Travelled to:

1 × Australia
1 × Brazil
1 × India
1 × Japan
1 × Korea
2 × Canada
2 × USA
2 × United Kingdom

Collaborated with:

H.Sako C.Liu M.Koga K.Marukawa ∅ T.Kagehiro Y.Shima H.Ogata S.Veeramachaneni G.Nagy R.Mine Y.Okada S.Lee Y.Ueda T.Hisamitsu Y.Nitta H.Ikeda Y.Ogawa H.Nishimura S.Watanabe A.Imaizumi T.Yasue N.Furukawa

Talks about:

recognit (9) charact (8) handwritten (6) japanes (5) method (4) address (3) featur (3) segment (2) quadrat (2) extract (2)

Person: Hiromichi Fujisawa

DBLP: Fujisawa:Hiromichi

Contributed to:

2007

2005

2004

2003

2002

2001

1999

1998

1995

1993

Wrote 16 papers:

ICDAR-2007-Fujisawa #documentation #future of #past present future #recognition: A View on the Past and Future of Character and Document Recognition (HF), pp. 3–7.
ICDAR-2005-LiuKF #comparison #feature model #recognition: Gabor Feature Extraction for Character Recognition: Comparison with Gradient Feature (CLL, MK, HF), pp. 121–125.
ICPR-v2-2004-KagehiroKSF: Address-Block Extraction by Bayesian Rule (TK, MK, HS, HF), pp. 582–585.
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-FujisawaL #pattern matching #recognition #revisited: Directional Pattern Matching for Character Recognition Revisited (HF, CLL), pp. 794–798.
ICDAR-2003-LiuSF #normalisation #recognition: Handwritten Chinese Character Recognition: Alternatives to Nonlinear Normalization (CLL, HS, HF), pp. 524–528.
ICPR-v2-2002-VeeramachaneniFLN #classification #polynomial: Style-Conscious Quadratic Field Classifier (SV, HF, CLL, GN), pp. 72–75.
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-LiuKF #recognition #string: Lexicon-Driven Handwritten Character String Recognition for Japanese Address Reading (CLL, MK, HF), pp. 877–881.
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.
ICDAR-v2-1995-HisamitsuMSFN #fault: Optimal techniques in OCR error correction for Japanese texts (TH, KM, YS, HF, YN), pp. 1014–1017.
ICDAR-1993-MarukawaKSF #recognition #using: A post-processing method for handwritten Kanji name recognition using Furigana information (KM, MK, YS, HF), pp. 218–221.