{"id":189074,"updated":"2025-01-20T01:48:44.854439+00:00","links":{},"created":"2025-01-19T00:55:10.039902+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00189074","sets":["6504:9465:9466"]},"path":["9466"],"owner":"6748","recid":"189074","title":["Fully-CNNを用いた近代公文書画像からの文字検出"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-03-13"},"_buckets":{"deposit":"128c335f-f7dc-4f76-b705-1900d2cf8929"},"_deposit":{"id":"189074","pid":{"type":"depid","value":"189074","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"Fully-CNNを用いた近代公文書画像からの文字検出","author_link":["429496","429493","429494","429492","429495","429491"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Fully-CNNを用いた近代公文書画像からの文字検出"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2018-03-13","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"中京大"},{"subitem_text_value":"中京大"},{"subitem_text_value":"中京大"},{"subitem_text_value":"中京大"},{"subitem_text_value":"中京大"},{"subitem_text_value":"中京大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/189074/files/IPSJ-Z80-7ZC-03.pdf","label":"IPSJ-Z80-7ZC-03.pdf"},"date":[{"dateType":"Available","dateValue":"2018-05-07"}],"format":"application/pdf","filename":"IPSJ-Z80-7ZC-03.pdf","filesize":[{"value":"1.4 MB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"ef82379c-20ca-471d-a9e6-1a111bd6cf1c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"高木, 裕平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山田, 雅之"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"目加田, 慶人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"長谷川, 純一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中, 貴俊"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"宮崎, 慎也"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近代公文書の字形データ作成の前処理において文書画像の赤成分の除去、グレースケール変換、罫線検出と除去、8連結画素成分ごとの外接矩形の検出を行う。しかし、この方法では背景が完全に除去できず、外接矩形の検出の精度が低下する。本研究の目的は、文書画像の赤成分の除去から罫線の除去までの過程をFully-CNNで行い、外接矩形の検出の精度を高めることである。本研究では、近代公文書の題材として台湾総督府文書を利用した。抽出済みの字形データから文字の矩形部分を白画素、それ以外を黒画素とした画像を教師データとし、Fully-CNNで学習することで背景除去フィルタを作成した。本研究では、正確に矩形できる数が増加し、検出の精度を高めることができた。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"632","bibliographic_titles":[{"bibliographic_title":"第80回全国大会講演論文集"}],"bibliographicPageStart":"631","bibliographicIssueDates":{"bibliographicIssueDate":"2018-03-13","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2018"}]},"relation_version_is_last":true,"weko_creator_id":"6748"}}