H-053 Recovering Drawing Order from Static Handwritten Images Using Probabilistic Tabu Search
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概要
- 論文の詳細を見る
This paper considers the problem of recovering a drawing order from static handwriting images with single stroke. The problem is analyzed and solved by employing the so-called graph theoretic approach. The central issue is to obtain the smoothest path of stroke from a graph model of input handwriting image. We first introduce an index on double-traced lines. Then, it is shown that the graph is transformed to a semi-Eulerian graph. Thus, the restoration problem reduces to maximum weight matching problem. Such a problem is solved by a probabilistic tabu search.
- FIT(電子情報通信学会・情報処理学会)運営委員会の論文
- 2011-09-07
著者
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Fujioka Hiroyuki
Department Of Electrical And Electronic Engineering Kanagawa Institute Of Technology
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Fujioka Hiroyuki
Department of System Management Fukuoka Institute of Technology
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Nagoya Takayuki
Department of Information Systems, Tottori University of Environmental Studies
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NAGOYA Takayuki
Department of Computer Science and Information Mathematics, University of Electro Communications
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- H-053 Recovering Drawing Order from Static Handwritten Images Using Probabilistic Tabu Search
- Feasibility Study of Observing η' Mesic Nuclei with (p, d) Reaction