BibSLEIGH — kanji stem

Used together with:

recognit (18)
charact (13)
handwritten (8)
line (7)
base (7)

Stem kanji$ (all stems)

26 papers:

DHM-HM-2015-WangLYHM #case study: A Study on Characteristic of Calligraphy Characters Part 2 Case of One Character of Calligraphy Letter “Kanji” and “Hiragana” (ZW, ML, KY, RH, ZM), pp. 429–436.
HIMI-D-2013-Enami #challenge: Kanji Characters in Japan — Remaining Challenges (TE), pp. 20–29.
ICPR-2010-BlondelSU #learning #online #recognition: Unsupervised Learning of Stroke Tagger for Online Kanji Handwriting Recognition (MB, KS, KU), pp. 1973–1976.
ICDAR-2007-OtaYSS #online #recognition: Online Handwritten Kanji Recognition Based on Inter-stroke Grammar (IO, RY, SS, SS), pp. 1188–1192.
HCI-AS-2007-LuYTHY #difference #learning #named: KaLeSy-CJ: Kanji Learning System Focusing on Differences Between Chinese and Japanese (SL, NY, HT, TH, TY), pp. 302–311.
HIMI-MTT-2007-SakuradaHON #interface #online #recognition #using: A Japanese Text Input Interface Using On-Line Writing-Box-Free Handwriting Recognition and Kana-to-Kanji Conversion (TS, YH, HO, MN), pp. 940–949.
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.
ICDAR-2005-KogaMKTYY: Camera-based Kanji OCR for Mobile-phones: Practical Issues (MK, RM, TK, TT, MY, TY), pp. 635–639.
ICDAR-2005-NakamuraK #analysis #online: Individuality Analysis of Online Kanji Handwriting (YN, MK), pp. 620–624.
ICPR-v1-2004-KusachiSIA #detection #image #recognition #robust: Kanji Recognition in Scene Images without Detection of Text Fields — Robust Against Variation of Viewpoint, Contrast, and Background Texture (YK, AS, NI, KA), pp. 457–460.
ICDAR-2003-NakaiSS #generative #recognition #taxonomy: Generation of Hierarchical Dictionary for Stroke-order Free Kanji Handwriting Recognition Based on Substroke HMM (MN, HS, SS), pp. 514–518.
ICPR-v1-2002-VelekLJN #approach #generative #image #online #performance #recognition: An Improved Approach to Generating Realistic Kanji Character Images from On-Line Characters and its Benefit to Off-Line Recognition Performance (OV, CLL, SJ, MN), p. 588–?.
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-IshideraS #recognition #reduction: A Candidate Reduction Method for Handwritten Kanji Character Recognition (EI, AS), pp. 8–13.
ICDAR-2001-NakaiASS #approach #online #recognition: Substroke Approach to HMM-Based On-line Kanji Handwriting Recognition (MN, NA, HS, SS), pp. 491–495.
ICDAR-2001-VelekNL #generative #image #online: Generating Realistic Kanji Character Images from On-Line Patterns (OV, MN, CLL), pp. 556–560.
ICPR-v2-2000-Kawatani #normalisation #polynomial #recognition: Handwritten Kanji Recognition with Determinant Normalized Quadratic Discriminant Function (TK), pp. 2343–2346.
ICPR-v4-2000-StocktonS #interactive #named: JKanji: Wavelet-Based Interactive Kanji Completion (RGS, RS), pp. 4442–4446.
ICDAR-1999-Kawatani #classification #recognition #using: Handwritten Kanji Recognition using Combined Complementary Classifiers in a Cascade Arrangement (TK), pp. 503–506.
ICPR-1998-KawataniS #recognition: Handwritten Kanji recognition with the LDA method (TK, HS), pp. 1301–1305.
ICPR-1998-NambuKMY #comparison #online #recognition: Online handwritten Chinese character recognition; comparison and improvement to Japanese Kanji recognition (HN, TK, FM, FY), pp. 1145–1149.
ICDAR-1997-Yamada #feature model #recognition: Non-uniformly Sampled Feature Extraction Method for Kanji Character Recognition (KY), pp. 200–205.
ICPR-1996-WakaharaNMO #online #recognition #using: On-line cursive Kanji character recognition using stroke-based affine transformation (TW, NN, SM, KO), pp. 204–209.
ICDAR-v2-1995-WakaharaSNMO #online #problem #recognition: On-line cursive Kanji character recognition as stroke correspondence problem (TW, AS, NN, SM, KO), pp. 1059–1064.
ICDAR-1993-MarukawaKSF #recognition #using: A post-processing method for handwritten Kanji name recognition using Furigana information (KM, MK, YS, HF), pp. 218–221.
ICDAR-1993-OhkuraSSH #on the #using: On discrimination of handwritten similar KANJI characters by subspace method using several features (MO, YS, MS, RH), pp. 589–592.