關鍵字查詢 | 類別:期刊論文 | | 關鍵字:A machine-learning approach for analyzing document layout structures with two reading orders

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1 97/1 電機系 周建興 教授 期刊論文 發佈 A machine-learning approach for analyzing document layout structures with two reading orders , [97-1] :A machine-learning approach for analyzing document layout structures with two reading orders期刊論文A machine-learning approach for analyzing document layout structures with two reading ordersWu, Chung-Chih; Chou, Chien-Hsing; Chang, Fu淡江大學電機工程學系Binary decision;Document layout analysis;Reading order;Support vector machine;Taboo box;Textline;Text regionKidlington: PergamonPattern Recognition 41(10), pp.3200-3213The purpose of document layout analysis is to locate textlines and text regions in document images mostly via a series of split-or-merge operations. Before applying such an operation, however, it is necessary to examine the context to decide whether the place chosen for the operation is appropriate. We thus view document layout analysis as a matter of solving a series of binary decision problems, such as whether to apply, or not to apply, a split-or-merge operation to a chosen place. To solve these problems, we use support vector machines to learn whether or not to apply the previous
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