Travelled to:1 × Australia
1 × Brazil
1 × Germany
1 × India
1 × Japan
1 × USA
Collaborated with:T.Hirano Y.Okada T.Kameshiro K.Miyahara Y.Okano H.Nambu T.Kawamata F.Maruyama
Talks about:recognit (5) charact (5) document (3) method (3) base (3) handwritten (2) retriev (2) multipl (2) japanes (2) extract (2)
Person: Fumio Yoda
DBLP: Yoda:Fumio
Contributed to:
200720011999
199819971993Wrote 7 papers:
- ICDAR-2007-HiranoOOY #analysis #documentation #information management #layout
- Text and Layout Information Extraction from Document Files of Various Formats Based on the Analysis of Page Description Language (TH, YO, YO, FY), pp. 262–266.
- ICDAR-2001-HiranoOY
- Field Extraction Method from Existing Forms Transmitted by Facsimile (TH, YO, FY), pp. 738–742.
- ICDAR-2001-KameshiroHOY #documentation #retrieval
- A Document Retrieval Method from Handwritten Characters Based on OCR and Character Shape Information (TK, TH, YO, FY), pp. 597–601.
- ICDAR-1999-KameshiroHOY #documentation #fault #image #multi #recognition #retrieval #segmentation #using
- A Document Image Retrieval Method Tolerating Recognition and Segmentation Errors of OCR using Shape-Feature and Multiple Candidates (TK, TH, YO, FY), pp. 681–684.
- 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-HiranoOY #recognition #using
- Structural Character Recognition Using Simulated Annealing (TH, YO, FY), pp. 507–510.
- ICDAR-1993-MiyaharaY #multi #network #recognition
- Printed Japanese character recognition based on multiple modified LVQ neural network (KM, FY), pp. 250–253.