Online Japanese Character Recognition Using Trajectory-Based Normalization and Direction Feature Extraction

Cheng-Lin Liu 1, 2 Xiang-Dong Zhou 1, 2
1 NLPR - National Laboratory of Pattern Recognition [Beijing]
2 LIAMA - Pattern
Abstract : This paper describes an online Japanese character recognition system using advanced techniques of pattern normalization and direction feature extraction. The normalization of point coordinates and the decomposition of direction elements are directly performed on online trajectory, and therefore, are computationally efficient. We compare one-dimensional and pseudo two-dimensional (pseudo 2D) normalization methods, as well as direction features from original pattern and from normalized pattern. In experiments on the TUAT HANDS databases, the pseudo 2D normalization methods yielded superior performance, while direction features from original pattern and from normalized pattern made little difference.
Keywords : Direction feature extraction Online character recognition Trajectorybased normalization Pseudo 2D normalization Direction feature extraction.
Type de document :
Communication dans un congrès
Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006
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https://hal.inria.fr/inria-00108303
Contributeur : Ist Rennes <>
Soumis le : vendredi 20 octobre 2006 - 13:03:23
Dernière modification le : mardi 24 avril 2018 - 13:36:32
Document(s) archivé(s) le : mardi 6 avril 2010 - 20:16:40

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cr100374111345.pdf

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  • HAL Id : inria-00108303, version 1

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IWFHR10 | INRIA | CIRAD | INRA | LIAMA

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Cheng-Lin Liu, Xiang-Dong Zhou. Online Japanese Character Recognition Using Trajectory-Based Normalization and Direction Feature Extraction. Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006. 〈inria-00108303〉

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