Travelled to:1 × Australia
1 × Austria
1 × China
1 × Germany
1 × India
1 × Japan
1 × Korea
1 × USA
2 × Spain
Collaborated with:F.Kimura M.Shridhar T.Wakabayashi S.Tsuruoka Y.Ding Y.Takiguchi M.Okada U.Pal M.Okada N.Kayahara S.Inoue K.Sawa Z.Chen N.Watanabe N.Minamide
Talks about:recognit (12) handwritten (8) word (5) correct (3) charact (3) slant (3) understand (2) mathemat (2) segment (2) formula (2)
Person: Yasuji Miyake
DBLP: Miyake:Yasuji
Contributed to:
2009
2006200520012000199919981997199619951993Wrote 13 papers:
- 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-v2-2006-TakiguchiOM #case study #comprehension #fault #recognition
- A Study on Character Recognition Error Correction at Higher Level Recognition Step for Mathematical Formulae Understanding (YT, MO, YM), pp. 966–969.
- ICDAR-2005-TakiguchiOM #comprehension #layout #recognition #semantics
- A Fundamental Study of Output Translation from Layout Recognition and Semantic Understanding System for Mathematical Formulae (YT, MO, YM), pp. 745–749.
- ICDAR-2001-DingOKM #recognition
- Application of Slant Correction to Handwritten Japanese Address Recognition (YD, MO, FK, YM), pp. 670–674.
- ICPR-v4-2000-DingKMS #estimation #word
- Accuracy Improvement of Slant Estimation for Handwritten Words (YD, FK, YM, MS), pp. 4527–4530.
- ICDAR-1999-DingKMS #estimation #evaluation #word
- Evaluation and Improvement of Slant Estimation for Handwritten Words (YD, FK, YM, MS), pp. 753–756.
- 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.
- 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-TsuruokaKMSC #recognition #segmentation
- Segmentation and recognition for handwritten 2-letter state names (ST, FK, YM, MS, ZC), pp. 814–817.