BibSLEIGH — Fumitaka

Travelled to:

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

Collaborated with:

T.Wakabayashi U.Pal W.Ohyama Y.Miyake M.Shridhar M.Shi S.Tsuruoka R.K.Roy Y.Ding Z.Chen X.Luo P.P.Roy R.Narita N.Sharma K.Roy T.Pal K.Sekioka N.Bhattacharya G.F.Houle T.Takeshita S.Nozawa A.Yamamoto Y.Kamihira R.Malik Y.Ito A.Alaei P.Nagabhushan S.Chanda K.Franke K.Roy J.Lladós G.Zu S.Shimizu M.Okada Y.Fujisawa N.Kayahara S.Thadchanamoorthy N.D.Kodikara H.L.Premaretne A.Kokawa L.S.P.Busagala A.Tarafdar R.Mandal S.Pal S.Inoue K.Sawa N.Watanabe N.Minamide

Talks about:

recognit (28) handwritten (22) charact (11) word (10) base (9) use (8) improv (7) numer (7) automat (6) autom (6)

Person: Fumitaka Kimura

DBLP: Kimura:Fumitaka

Contributed to:

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2003

2002

2001

2000

1999

1998

1997

1996

1995

1993

Wrote 47 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-BhattacharyaPK #online: A System for Bangla Online Handwritten Text (NB, UP, FK), pp. 1335–1339.
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-MalikRPK #documentation #retrieval #using: Handwritten Musical Document Retrieval Using Music-Score Spotting (RM, PPR, UP, FK), pp. 832–836.
ICDAR-2013-ThadchanamoorthyKPPK #automation #database #development #recognition: Tamil Handwritten City Name Database Development and Recognition for Postal Automation (ST, NDK, HLP, UP, FK), pp. 793–797.
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-AlaeiPNK #documentation #estimation: A Painting Based Technique for Skew Estimation of Scanned Documents (AA, UP, PN, FK), pp. 299–303.
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.
ICDAR-2011-PalRK #automation #recognition: Handwritten Street Name Recognition for Indian Postal Automation (UP, RKR, FK), pp. 483–487.
ICPR-2010-ChandaPFK #identification #perspective: Script Identification — A Han and Roman Script Perspective (SC, UP, KF, FK), pp. 2708–2711.
ICPR-2010-PalRK #automation #recognition: Bangla and English City Name Recognition for Indian Postal Automation (UP, RKR, FK), pp. 1985–1988.
ICPR-2010-TarafdarMPPK #documentation #multi #retrieval: Shape Code Based Word-Image Matching for Retrieval of Indian Multi-lingual Documents (AT, RM, SP, UP, FK), pp. 1989–1992.
ICDAR-2009-PalRRK #automation #multi #recognition #string: Indian Multi-Script Full Pin-code String Recognition for Postal Automation (UP, RKR, KR, FK), pp. 456–460.
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.
ICPR-2008-RoyPLK #approach #documentation #multi #recognition #visual notation: Convex hull based approach for multi-oriented character recognition from graphical documents (PPR, UP, JL, FK), pp. 1–4.
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.
ICPR-v2-2006-PalKRP #multi #recognition: Recognition of English Multi-oriented Characters (UP, FK, KR, TP), pp. 873–876.
ICDAR-2005-RoyPPK #recognition: Oriya Handwritten Numeral Recognition Syste (KR, TP, UP, FK), pp. 770–774.
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-DingOKM #recognition: Application of Slant Correction to Handwritten Japanese Address Recognition (YD, MO, FK, YM), pp. 670–674.
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-DingKMS #estimation #word: Accuracy Improvement of Slant Estimation for Handwritten Words (YD, FK, YM, MS), pp. 4527–4530.
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-DingKMS #estimation #evaluation #word: Evaluation and Improvement of Slant Estimation for Handwritten Words (YD, FK, YM, MS), pp. 753–756.
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-KimuraKMS #recognition #word: Machine and Human Recognition of Segmented Characters from Handwritten Words (FK, NK, YM, MS), p. 866–?.
ICDAR-1997-SawaTWKM #automation #quality #recognition #string: Low Quality String Recognition for Factory Automation (KS, ST, TW, FK, YM), pp. 475–478.
ICDAR-1997-ShridharHK #recognition #using #word: Handwritten Word Recognition Using Lexicon Free and Lexicon Directed Word (MS, GFH, FK), pp. 861–865.
ICPR-1996-KimuraWM #feature model #on the #problem: On feature extraction for limited class problem (FK, TW, YM), pp. 191–194.
ICDAR-v2-1995-KimuraMS #algorithm #recognition #using #word: Handwritten ZIP code recognition using lexicon free word recognition algorithm (FK, YM, MS), pp. 906–910.
ICDAR-v2-1995-TsuruokaWMKMS #recognition #word: Base line correction for handwritten word recognition (ST, NW, NM, FK, YM, MS), pp. 902–905.
ICDAR-1993-KimuraSC #algorithm #recognition #word: Improvements of a lexicon directed algorithm for recognition of unconstrained handwritten words (FK, MS, ZC), pp. 18–22.
ICDAR-1993-TakeshitaNK #bias #distance #on the: On the bias of Mahalanobis distance due to limited sample size effect (TT, SN, FK), pp. 171–174.
ICDAR-1993-TsuruokaKMSC #recognition #segmentation: Segmentation and recognition for handwritten 2-letter state names (ST, FK, YM, MS, ZC), pp. 814–817.