BibSLEIGH — Shinichiro

Travelled to:

1 × Australia
1 × Brazil
1 × Canada
1 × Korea
2 × China
2 × United Kingdom
3 × Spain
3 × USA

Collaborated with:

H.Aso M.Iwamura S.Uchida K.Kise F.Sun N.Kato S.Taguchi H.Ujiie T.Kato M.Inoue K.Negishi Y.Katsuyama A.Minagawa Y.Hotta R.Hattori M.Sakai T.Kimura R.Huang M.Liwicki A.Yoshida R.Niwa A.Horimatsu K.Iwata T.Nakai S.Kono T.Takagi

Talks about:

charact (8) recognit (6) base (4) distribut (3) search (3) embed (3) imag (3) use (3) algorithm (2) document (2)

Person: Shinichiro Omachi

DBLP: Omachi:Shinichiro

Contributed to:

2013

2011

2010

2009

2007

2006

2005

2004

2002

2000

1998

Wrote 18 papers:

ICDAR-2013-KimuraHUIOK: The Reading-Life Log — Technologies to Recognize Texts That We Read (TK, RH, SU, MI, SO, KK), pp. 91–95.
ICDAR-2011-LiwickiAUIOK #online #reliability: Reliable Online Stroke Recovery from Offline Data with the Data-Embedding Pen (ML, AY, SU, MI, SO, KK), pp. 1384–1388.
DRR-2010-KatsuyamaMHOK #classification: A new pre-classification method based on associative matching method (YK, AM, YH, SO, NK), pp. 1–10.
DRR-2009-IwamuraNHKUO #documentation #image: Layout-free dewarping of planar document images (MI, RN, AH, KK, SU, SO), pp. 1–10.
ICDAR-2009-IwataKNIUO #documentation #image: Capturing Digital Ink as Retrieving Fragments of Document Images (KI, KK, TN, MI, SU, SO), pp. 1236–1240.
ICDAR-2009-UchidaHIOK: Conspicuous Character Patterns (SU, RH, MI, SO, KK), pp. 16–20.
ICDAR-2007-UchidaSIOK #embedded: Extraction of Embedded Class Information from Universal Character Pattern (SU, MS, MI, SO, KK), pp. 437–441.
ICPR-v2-2006-OmachiIUK #invariant #recognition: Affine Invariant Information Embedment for Accurate Camera-Based Character Recognition (SO, MI, SU, KK), pp. 1098–1101.
ICPR-v2-2006-UchidaIOK #recognition: OCR Fonts Revisited for Camera-Based Character Recognition (SU, MI, SO, KK), pp. 1134–1137.
ICDAR-2005-IwamuraNOA #recognition: Isolated Character Recognition by Searching Feature Points (MI, KN, SO, HA), pp. 1035–1039.
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-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-OmachiIA #image #multi #using: Structure Extraction from Various Kinds of Decorated Characters Using Multi-Scale Images (SO, MI, HA), pp. 4455–4458.
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.