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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
Historical Hand-Written String Recognition by Non-linear Discriminant Analysis using Kernel Feature Selection
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Ryo Inoue, Tohoku University, Sendai, Japan
Hidehisa Nakayama, Tohoku University, Sendai, Japan
Nei Kato, Tohoku University, Sendai, Japan
In this paper, we propose a method to compose a classifier by non-linear discriminant analysis using kernel method combined with kernel feature selection for holistic recognition of historical hand-written string. Through experiments using historical hand-written string database HCD2, we show that our approach can obtain high recognition accuracy comparable to that of individual character recognition.
Citation:
Ryo Inoue, Hidehisa Nakayama, Nei Kato, "Historical Hand-Written String Recognition by Non-linear Discriminant Analysis using Kernel Feature Selection," icpr, vol. 2, pp.1094-1097, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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