BibSLEIGH — Hirotomo

Travelled to:

1 × Australia
1 × Korea
2 × Canada
2 × Spain
2 × United Kingdom

Collaborated with:

S.Omachi H.Goto F.Sun M.Iwamura S.Taguchi H.Ujiie T.Kato M.Inoue H.Mori S.Makino K.Negishi N.Kato S.Kono T.Takagi

Talks about:

charact (8) recognit (5) pattern (4) extract (4) distribut (3) document (3) search (3) base (3) use (3) algorithm (2)

Person: Hirotomo Aso

DBLP: Aso:Hirotomo

Contributed to:

2005

2004

2002

2000

1998

1995

Wrote 14 papers:

ICDAR-2005-IwamuraNOA #recognition: Isolated Character Recognition by Searching Feature Points (MI, KN, SO, HA), pp. 1035–1039.
ICPR-v1-2004-GotoA #documentation #image: Screen Pattern Removal for Character Pattern Extraction from High-resolution Color Document Images (HG, HA), pp. 490–493.
ICPR-v1-2004-OmachiSA #estimation #precise #recognition: Precise Estimation of High-Dimensional Distribution and Its Application to Face Recognition (SO, FS, HA), pp. 220–223.
ICPR-v4-2004-TaguchiOA #performance #using #visual notation: Fast Visual Search Using Simplified Pruning Rules — Streamlined Active Search (ST, SO, HA), pp. 937–940.
ICPR-v2-2002-UjiieOA: A Discriminant Function Considering Normality Improvement of the Distribution (HU, SO, HA), pp. 224–227.
ICPR-v3-2002-GotoA #documentation: Character Pattern Extraction from Colorful Documents with Complex Backgrounds (HG, HA), pp. 180–183.
ICPR-v2-2000-IwamuraOA #estimation #fault: A Modification of Eigenvalues to Compensate Estimation Errors of Eigenvectors (MI, SO, HA), pp. 2378–2381.
ICPR-v2-2000-KatoOA #modelling #precise #recognition #using: Precise Hand-printed Character Recognition Using Elastic Models via Nonlinear Transformation (TK, SO, HA), pp. 2364–2367.
ICPR-v2-2000-SunOKAKT #algorithm #approximate #distance #reduction: Two-Stage Computational Cost Reduction Algorithm Based on Mahalanobis Distance Approximations (FS, SO, NK, HA, SK, TT), pp. 2696–2699.
ICPR-v4-2000-GotoA #multi: Character Pattern Extraction Based on Local Multilevel Thresholding and Region Growing (HG, HA), pp. 4430–4433.
ICPR-v4-2000-OmachiIA #image #multi #using: Structure Extraction from Various Kinds of Decorated Characters Using Multi-Scale Images (SO, MI, HA), pp. 4455–4458.
ICPR-1998-GotoA #detection #framework: A framework for detecting and selecting text line candidates of correct orientation (HG, HA), pp. 1074–1076.
ICPR-1998-SunOA #algorithm #multi #recognition #taxonomy: An algorithm for constructing a multi-template dictionary for character recognition considering distribution of feature vectors (FS, SO, HA), pp. 1114–1116.
ICDAR-v1-1995-MoriAM #documentation #n-gram #recognition: Japanese document recognition based on interpolated n-gram model of character (HM, HA, SM), pp. 274–277.