Key-region Detection for Document Images ---Application to Administrative Document Retrieval
| 言語 | 英語 |
|---|---|
| 種類 | 国際会議等の予稿 |
| 著者 | Hongxing Gao，Marcal Rusinol，Dimosthenis Karatzas，Josep Llados，Tomokazu Sato，Masakazu Iwamura，Koichi Kise |
| 論文名 | Key-region Detection for Document Images ---Application to Administrative Document Retrieval |
| 論文誌名 | Proc. 12th International Conference on Document Analysis and Recognition (ICDAR 2013) |
| ページ | pp.230-234 |
| 発表場所 | Washington, DC, USA |
| 査読の有無 | 有 |
| 発表の種類 | ポスター発表 |
| 年月 | 2013年8月 |
| 分野 | 文書画像解析, パターン認識 |
| DOI | 10.1109/ICDAR.2013.53 |
| キー | Gao2013 (id=1354) |
要約
In this paper we argue that a key-region detector designed to take into account the special characteristics of document images can result in the detection of less and more meaningful key-regions. We propose a fast key-region detector able to capture aspects of the structural information of the document, and demonstrate its efficiency by comparing against standard detectors in an administrative document retrieval scenario. We show that using the proposed detector results to a smaller number of detected key-regions and higher performance without any drop in speed compared to standard state of the art detectors.
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