Paper Abstract and Keywords |
Presentation |
2006-02-24 17:00
Implementation and evaluation of a scalable recognition system Hideto Oda, Akihito Kitadai, Motoki Onuma, Bilan Zhu, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper describes an on-line/off-line combined recognition system using recognition score normalization. The goal of the combination is to exploit the merits of on-line recognition and off-line recognition. The combined system achieves 91.3% recognition rate and 98.1% 5th-cumulative rate to the on-line handwritten character pattern database “kuchibue” while the on-line recognizer using the 150KB prototype dictionary and off-line recognizer using the 91MB prototype dictionary perform 87.8% and 86.1% recognition, respectively. When the off-line recognizer with the reduced prototype dictionary of 1Mbyte is combined with the above on-line recognizer, the combined system achieves 88.1% recognition rate and 97.7% 5th-cumulative rate, though the reduced off-line recognizer alone performs 74.2% recognition. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
handwritten character recognition / on-line recognition / off-line recognition / multiple classifier systems / recognition score normalization / / / |
Reference Info. |
IEICE Tech. Rep., vol. 105, no. 615, PRMU2005-225, pp. 135-140, Feb. 2006. |
Paper # |
PRMU2005-225 |
Date of Issue |
2006-02-17 (TL, PRMU) |
ISSN |
Print edition: ISSN 0913-5685 |
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