Travelled to:
1 × Australia
1 × Brazil
1 × Canada
1 × France
1 × India
1 × Japan
1 × Korea
1 × Sweden
1 × Taiwan
1 × Turkey
2 × Spain
2 × United Kingdom
4 × China
4 × USA
Collaborated with:
H.Sakoe M.Liwicki Y.Feng M.Iwamura S.Omachi K.Kise M.Suzuki S.Ablameyko R.Huang T.Wakahara S.Wang W.Song W.Cai Y.Katayama V.Bucha M.A.Ronee P.Shivakumara Y.Kunishige A.Fujiyoshi A.Nomura K.Amamoto R.Ishida V.Frinken R.Kurazume R.Taniguchi T.Hasegawa T.Sasaki D.Baba A.Nedzved H.Mitoma H.Miyazaki D.Okumur N.Matsumoto E.Taira M.Goto Y.Terada S.Oba M.Fukutomi K.Ogawara Y.Shigeyoshi W.Aly R.Bertolami M.Zimmermann H.Bunke H.Ezaki A.Asano K.Michishita Y.Iwakiri K.Fujisaki K.Inai M.Palsson M.Weber D.Stricker C.Schoelzel R.Hattori M.Sakai H.Omasa F.Tamari R.Fukuda T.Kanahori R.Bogush S.Maltsev S.Kamata T.Kimura A.Yoshida R.Niwa A.Horimatsu K.Iwata T.Nakai A.Mori D.Karatzas F.Shafait L.G.i.Bigorda S.R.Mestre J.Mas D.F.Mota J.Almazán L.d.l.Heras
Talks about:
recognit (25) charact (25) base (18) handwritten (9) use (9) imag (7) pattern (6) detect (6) warp (6) mathemat (5)
Person: Seiichi Uchida
DBLP: Uchida:Seiichi
Contributed to:
Wrote 57 papers:
- ICPR-2014-FrinkenIIFU #recognition
- Improving Point of View Scene Recognition by Considering Textual Data (VF, YI, RI, KF, SU), pp. 2966–2971.
- ICPR-2014-InaiPFFU #privacy
- Selective Concealment of Characters for Privacy Protection (KI, MP, VF, YF, SU), pp. 333–338.
- ICPR-2014-WeberLSSU #recognition
- LSTM-Based Early Recognition of Motion Patterns (MW, ML, DS, CS, SU), pp. 3552–3557.
- ICDAR-2013-GotoIFU #graph #scalability #set #using
- Analyzing the Distribution of a Large-Scale Character Pattern Set Using Relative Neighborhood Graph (MG, RI, YF, SU), pp. 3–7.
- ICDAR-2013-HuangSU #detection
- Scene Character Detection by an Edge-Ray Filter (RH, PS, SU), pp. 462–466.
- ICDAR-2013-KaratzasSUIBMMMAH #contest #robust
- ICDAR 2013 Robust Reading Competition (DK, FS, SU, MI, LGiB, SRM, JM, DFM, JA, LPdlH), pp. 1484–1493.
- ICDAR-2013-KimuraHUIOK
- The Reading-Life Log — Technologies to Recognize Texts That We Read (TK, RH, SU, MI, SO, KK), pp. 91–95.
- ICDAR-2013-TeradaHFU #detection #on the
- On the Possibility of Structure Learning-Based Scene Character Detector (YT, RH, YF, SU), pp. 472–476.
- ICDAR-2013-WangUL #recognition
- Part-Based Recognition of Arbitrary Fonts (SW, SU, ML), pp. 170–174.
- ICPR-2012-HuangOSU #detection #framework #multi #recognition
- Scene character detection and recognition based on multiple hypotheses framework (RH, SO, PS, SU), pp. 717–720.
- ICPR-2012-UchidaFOF #markov
- Non-Markovian dynamic time warping (SU, MF, KO, YF), pp. 2294–2297.
- ICPR-2012-WangUL
- Part-based method on handwritten texts (SW, SU, ML), pp. 339–342.
- ICDAR-2011-KunishigeFU #detection
- Scenery Character Detection with Environmental Context (YK, YF, SU), pp. 1049–1053.
- 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.
- ICDAR-2011-SongUL
- Look Inside the World of Parts of Handwritten Characters (WS, SU, ML), pp. 784–788.
- ICDAR-2011-SongUL11a #case study #comparative #recognition
- Comparative Study of Part-Based Handwritten Character Recognition Methods (WS, SU, ML), pp. 814–818.
- ICDAR-2011-UchidaSF #generative
- A Generative Model for Handwritings Based on Enhanced Feature Desynchronization (SU, TS, YF), pp. 589–593.
- ICDAR-2011-UchidaSKF #approach #detection #towards
- A Keypoint-Based Approach toward Scenery Character Detection (SU, YS, YK, YF), pp. 819–823.
- SAC-2011-CaiFU #database #recognition #scalability
- Massive character recognition with a large ground-truthed database (WC, YF, SU), pp. 240–244.
- ICPR-2010-UchidaL #analysis #recognition
- Analysis of Local Features for Handwritten Character Recognition (SU, ML), pp. 1945–1948.
- ICPR-2010-WakaharaU #composition #recognition
- Hierarchical Decomposition of Handwriting Deformation Vector Field for Improving Recognition Accuracy (TW, SU), pp. 1860–1863.
- DRR-2009-IwamuraNHKUO #documentation #image
- Layout-free dewarping of planar document images (MI, RN, AH, KK, SU, SO), pp. 1–10.
- ICDAR-2009-AlyUFS #classification #statistics
- Statistical Classification of Spatial Relationships among Mathematical Symbols (WA, SU, AF, MS), pp. 1350–1354.
- ICDAR-2009-FujiyoshiSU #detection
- Syntactic Detection and Correction of Misrecognitions in Mathematical OCR (AF, MS, SU), pp. 1360–1364.
- 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-KatayamaUS #order #probability
- Stochastic Model of Stroke Order Variation (YK, SU, HS), pp. 803–807.
- ICDAR-2009-UchidaHIOK
- Conspicuous Character Patterns (SU, RH, MI, SO, KK), pp. 16–20.
- ICDAR-2009-WakaharaU #2d #composition #using
- Hierarchical Decomposition of Handwriting Deformation Vector Field Using 2D Warping and Global/Local Affine Transformation (TW, SU), pp. 1141–1145.
- ICPR-2008-KatayamaUS #coordination #online #recognition #using
- A new HMM for on-line character recognition using pen-direction and pen-coordinate features (YK, SU, HS), pp. 1–4.
- ICPR-2008-UchidaA #classification #recognition
- Early recognition of sequential patterns by classifier combination (SU, KA), pp. 1–4.
- ICDAR-2007-BabaUS #online #predict #recognition
- Predictive DP Matching for On-Line Character Recognition (DB, SU, HS), pp. 674–678.
- ICDAR-2007-BertolamiUZB #recognition
- Non-Uniform Slant Correction for Handwritten Text Line Recognition (RB, SU, MZ, HB), pp. 18–22.
- ICDAR-2007-BuchaAU #image
- Image Pixel Force Fields and their Application for Color Map Vectorisation (VB, SA, SU), pp. 1228–1242.
- ICDAR-2007-UchidaSIOK #embedded
- Extraction of Embedded Class Information from Universal Character Pattern (SU, MS, MI, SO, KK), pp. 437–441.
- ICPR-v2-2006-CaiUS #algorithm #online #performance #recognition
- An Efficient Radical-Based Algorithm for Stroke-Order-Free Online Kanji Character Recognition (WC, SU, HS), pp. 986–989.
- ICPR-v2-2006-KurazumeOUTH #interface
- Embodied Proactive Human Interface “PICO-2” (RK, HO, SU, RiT, TH), pp. 1233–1237.
- ICPR-v2-2006-NedzvedAU #pseudo #using
- Gray-scale thinning by using a pseudo-distance map (AN, SA, SU), pp. 239–242.
- 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.
- ICPR-v3-2006-MoriUKTHS #gesture #predict #recognition
- Early Recognition and Prediction of Gestures (AM, SU, RK, RiT, TH, HS), pp. 560–563.
- ICPR-v4-2006-BuchaUA #interactive
- Interactive Road Extraction with Pixel Force Fields (VB, SU, SA), pp. 829–832.
- ICDAR-2005-EzakiUAS #documentation #image #optimisation
- Dewarping of document image by global optimization (HE, SU, AA, HS), pp. 302–306.
- ICDAR-2005-MitomaUS #online #polynomial #recognition
- Online Character Recognition Based on Elastic Matching and Quadratic Discrimination (HM, SU, HS), pp. 36–40.
- ICDAR-2005-MiyazakiUS #named #recognition
- Mosaicing-by-recognition: a technique for video-based text recognition (HM, SU, HS), pp. 904–908.
- ICDAR-2005-OkumurUS #coordination #implementation #online #recognition
- An HMM Implementation for On-line Handwriting Recognition — Based on Pen-Coordinate Feature and Pen-Direction Feature (DO, SU, HS), pp. 26–30.
- ICDAR-2005-SuzukiUN #database #image
- A Ground-Truthed Mathematical Character and Symbol Image Database (MS, SU, AN), pp. 675–679.
- ICPR-v1-2004-MatsumotoUS #image #pattern matching #pattern recognition #prototype #recognition
- Prototype Setting for Elastic Matching-Based Image Pattern Recognition (NM, SU, HS), pp. 224–227.
- DocEng-2003-SuzukiTFUK #documentation #named
- INFTY: an integrated OCR system for mathematical documents (MS, FT, RF, SU, TK), pp. 95–104.
- ICDAR-2003-NomuraMUS #detection #segmentation
- Detection and Segmentation of Touching Characters in Mathematical Expression (AN, KM, SU, MS), pp. 126–130.
- ICDAR-2003-UchidaS #recognition #using
- Handwritten character recognition using elastic matching based on a class-dependent deformation model (SU, HS), pp. 163–167.
- ICPR-v1-2002-UchidaRS #recognition #using
- Using Eigen-Deformations in Handwritten Character Recognition (SU, MAR, HS), pp. 572–575.
- ICDAR-2001-BogushMAUK #correlation #image #matrix #performance
- An Efficient Correlation Computation Method for Binary Images Based on Matrix Factorisation (RB, SM, SA, SU, SiK), pp. 312–316.
- ICDAR-2001-RoneeUS #2d #linear #recognition #using
- Handwritten Character Recognition Using Piecewise Linear Two-Dimensional Warping (MAR, SU, HS), pp. 39–43.
- ICDAR-2001-UchidaTS #programming #using
- Nonuniform Slant Correction Using Dynamic Programming (SU, ET, HS), pp. 434–438.
- ICPR-v3-2000-UchidaS #2d #linear
- Piecewise Linear Two-Dimensional Warping (SU, HS), pp. 3538–3541.
- ICDAR-1999-UchidaS #2d #recognition #using
- Handwritten Character Recognition using Monotonic and Continuous Two-dimensional Warping (SU, HS), pp. 499–502.
- ICPR-1998-UchidaS #2d #programming
- A monotonic and continuous two-dimensional warping based on dynamic programming (SU, HS), pp. 521–524.