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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 DBLP: Wakabayashi:Tetsushi

Contributed to:

ICPR 20142014
ICDAR 20132013
ICPR 20122012
ICDAR 20112011
ICPR 20102010
ICDAR 20092009
ICDAR 20072007
DocEng 20032003
ICDAR 20032003
ICPR v1 20022002
ICPR v2 20022002
ICPR v3 20022002
ICDAR 20012001
MLDM 20012001
ICPR v4 20002000
ICDAR 19991999
ICPR 19981998
ICDAR 19971997
ICPR 19961996

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.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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