A text search method based on directional feature matching (パターン認識・メディア理解)
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概要
- 論文の詳細を見る
In this paper, we describe a method of retrieving online handwritten text by directional feature matching. Although text search into the character recognition candidate lattice has been elaborated, the character recognition based approach does not support languages which are not assumed. The proposed method is liberated from this constraint. It first hypothetically segments online handwritten text into character pattern blocks and then extracts directional features from object text patterns generated by combining the character pattern blocks. Then, the dimensionalities of those features are further reduced by Fisher linear discriminate analysis (PDA) and those results are employed to measure the similarity between the object text patterns and a query pattern by block-shift matching. This paper discusses the retrieval performance in comparison with a character recognition based method.
- 2011-03-03
著者
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Nakagawa Masaki
Tokyo Univ. Agriculture And Technol. Tokyo Jpn
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Zhu Bilan
Department Of Computer And Information Sciences Tokyo University Of Agriculture And Technology
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Nakagawa Masaki
Department Of Computer And Information Sciences Tokyo University Of Agriculture And Technology
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LUANGVILAY Pasitthideth
Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology
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Luangvilay Pasitthideth
Department Of Computer And Information Sciences Tokyo University Of Agriculture And Technology
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