BibSLEIGH — Tetsushi

Travelled to:

1 × Australia
1 × Austria
1 × Brazil
1 × China
1 × France
1 × India
1 × Japan
1 × Sweden
1 × Turkey
1 × United Kingdom
2 × Germany
2 × Spain
2 × USA
3 × Canada

Collaborated with:

F.Kimura W.Ohyama M.Shi U.Pal Y.Miyake S.Tsuruoka X.Luo R.Narita N.Sharma K.Sekioka A.Yamamoto Y.Kamihira Y.Ito S.Chanda K.Franke G.Zu S.Shimizu Y.Fujisawa A.Kokawa L.S.P.Busagala S.Inoue K.Sawa

Talks about:

recognit (13) handwritten (8) charact (8) automat (6) numer (6) featur (5) text (5) imag (5) base (5) use (5)

Person: Tetsushi Wakabayashi

DBLP: Wakabayashi:Tetsushi

Contributed to:

2014

2013

2012

2011

2010

2009

2007

2003

2002

2001

2000

1999

1998

1997

1996

Wrote 26 papers:

ICPR-2014-OhyamaYWK #recognition #using: Improving Accuracy of Printed Character Recognition Using Hexagonal Zoning of Directional Histogram Feature (WO, AY, TW, FK), pp. 2697–2702.
ICDAR-2013-KamihiraOWK #verification: Improvement of Japanese Signature Verification by Segmentation-Verification (YK, WO, TW, FK), pp. 379–382.
ICDAR-2013-LuoOWK #approach #automation #classification #using: Automatic Chinese Text Classification Using Character-Based and Word-Based Approach (XL, WO, TW, FK), pp. 329–333.
ICPR-2012-ItoOWK #detection: Detection of eyes by circular Hough transform and histogram of gradient (YI, WO, TW, FK), pp. 1795–1798.
ICPR-2012-NaritaOWK #3d #case study #estimation #recognition: A study on three dimensional rotation-free character recognition and rotation angle estimation of characters (RN, WO, TW, FK), pp. 677–680.
ICDAR-2011-KokawaBOWK #analysis #automation #classification #fault: An Impact of OCR Errors on Automated Classification of OCR Japanese Texts with Parts-of-Speech Analysis (AK, LSPB, WO, TW, FK), pp. 543–547.
ICDAR-2011-LuoOWK #automation #case study #classification: A Study on Automatic Chinese Text Classification (XL, WO, TW, FK), pp. 920–924.
ICDAR-2011-NaritaOWK #3d #recognition: Three Dimensional Rotation-Free Recognition of Characters (RN, WO, TW, FK), pp. 824–828.
ICPR-2010-ChandaFPW #identification #independence: Text Independent Writer Identification for Bengali Script (SC, KF, UP, TW), pp. 2005–2008.
ICDAR-2009-PalWK #case study #classification #comparative #recognition #using: Comparative Study of Devnagari Handwritten Character Recognition Using Different Feature and Classifiers (UP, TW, FK), pp. 1111–1115.
ICDAR-2009-WakabayashiPKM #feature model #recognition: F-ratio Based Weighted Feature Extraction for Similar Shape Character Recognition (TW, UP, FK, YM), pp. 196–200.
ICDAR-2007-PalSWK #recognition: Off-Line Handwritten Character Recognition of Devnagari Script (UP, NS, TW, FK), pp. 496–500.
ICDAR-2007-PalSWK07a #recognition: Handwritten Numeral Recognition of Six Popular Indian Scripts (UP, NS, TW, FK), pp. 749–753.
DocEng-2003-ZuOWK #automation #classification: Accuracy improvement of automatic text classification based on feature transformation (GZ, WO, TW, FK), pp. 118–120.
ICDAR-2003-ShimizuOWK #image #learning #network: Mirror Image Learning for Autoassociative Neural Networks (SS, WO, TW, FK), pp. 804–808.
ICPR-v1-2002-OhyamaWKTS #automation #correlation: Automatic Tracking of Local Myocardial Motion by Correlation Weighted Velocity Method (WO, TW, FK, ST, KS), pp. 711–714.
ICPR-v2-2002-ShiWOK #case study #comparative #image #learning: Comparative Study on Mirror Image Learning (MIL) and GLVQ (MS, TW, WO, FK), p. 248–?.
ICPR-v3-2002-ShiWOK02a #automation #prototype #type system: Automatic Grading Prototype System for KANJI Dictation Test (MS, TW, WO, FK), pp. 232–235.
ICDAR-2001-ShiOWK #clustering #distance #pseudo #recognition: Clustering with Projection Distance and Pseudo Bayes Discriminant Function for Handwritten Numeral Recognition (MS, WO, TW, FK), pp. 1007–1011.
ICDAR-2001-WakabayashiSOK #image #learning #recognition: Accuracy Improvement of Handwritten Numeral Recognition by Mirror Image Learning (TW, MS, WO, FK), pp. 338–343.
MLDM-2001-ShiWOK #image #learning #recognition: Mirror Image Learning for Handwritten Numeral Recognition (MS, TW, WO, FK), pp. 239–248.
ICPR-v4-2000-OhyamaWKTS #automation #detection: Automatic Left Ventricular Endocardium Detection in Echocardiograms Based on Ternary Thresholding Method (WO, TW, FK, ST, KS), pp. 4320–4323.
ICDAR-1999-FujisawaSWK #image #recognition #using: Handwritten Numeral Recognition using Gradient and Curvature of Gray Scale Image (YF, MS, TW, FK), pp. 277–280.
ICPR-1998-KimuraIWTM #network #recognition #using: Handwritten numeral recognition using autoassociative neural networks (FK, SI, TW, ST, YM), pp. 166–171.
ICDAR-1997-SawaTWKM #automation #quality #recognition #string: Low Quality String Recognition for Factory Automation (KS, ST, TW, FK, YM), pp. 475–478.
ICPR-1996-KimuraWM #feature model #on the #problem: On feature extraction for limited class problem (FK, TW, YM), pp. 191–194.