Using stroke-number-characteristics for improving efficiency of combined online and offline Japanese character classifiers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2423, Issue , 2002, Pages 115-118

  Velek, Ondrej ^a   Nakagawa, Masaki ^a  

^a TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

COMBINATION PROCESS; COMBINATION RULES; IMPROVING EFFICIENCY; MULTIPLE CLASSIFIERS; OFFLINE; SUM RULE;

EFFICIENCY;

EID: 35248872447     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45869-7_15     Document Type: Conference Paper

References (5)

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2. K. Matsumoto, T. Fukushima, M. Nakagawa, Collection and analysis of on-line handwritten Japanese character patterns, Proc. 6th ICDAR, Seattle, 2001, pp.496-500.
3. O. Velek, S. Jaeger, M. Nakagawa, A warping technique for normalizing likelihood of multiple classi-fiers and its effectiveness in combined on-line/off-line Jap. char.recognition, accepted for IWFHR 2002
4. O. Velek, Ch. Liu, M. Nakagawa, Generating Realistic Kanji Character Images from Online Patterns, Proc. 6th ICDAR (2001) 556-560
5. J.Kittler, M.Hatef, R.Duin, J.Matas, On Combining Classifiers, IEEE PAMI 20(3) (1998) 222-239