BibSLEIGH — Wataru

Travelled to:

1 × China
1 × France
1 × Germany
1 × Japan
1 × Spain
1 × Sweden
1 × United Kingdom
2 × USA
3 × Canada

Collaborated with:

T.Wakabayashi F.Kimura M.Shi X.Luo R.Narita S.Tsuruoka K.Sekioka A.Yamamoto Y.Kamihira Y.Ito G.Zu S.Shimizu A.Kokawa L.S.P.Busagala M.I.Malik M.Liwicki L.Alewijnse M.Blumenstein B.Found

Talks about:

recognit (6) automat (6) charact (5) classif (4) mirror (4) improv (4) learn (4) text (4) imag (4) base (4)

Person: Wataru Ohyama

DBLP: Ohyama:Wataru

Contributed to:

2014

2013

2012

2011

2003

2002

2001

2000

Wrote 18 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.
ICDAR-2013-MalikLAOBF #contest #identification #verification: ICDAR 2013 Competitions on Signature Verification and Writer Identification for On- and Offline Skilled Forgeries (SigWiComp 2013) (MIM, ML, LA, WO, MB, BF), pp. 1477–1483.
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.
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.