{"_buckets": {"deposit": "5d1d4b2a-ef76-4a37-bc20-1b2ff2f08a65"}, "_deposit": {"id": "5283", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "5283"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00005283"}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2004-08", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "633", "bibliographicPageStart": "630", "bibliographicVolumeNumber": "2", "bibliographic_titles": [{"bibliographic_title": "Proceedings of the 17th International Conference on Pattern Recognition"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "Symbol segmentation is very important in handwritten mathematical formula recognition, since it is the very first portion of the recognition, since it is the very first portion of the recognition process. This paper proposes a new symbol segmentation method using mathematical structure information. The base technique of symbol segmentation employed in theexisting methods is dynamic programming which optimizes the overall results of individual symbol recognition. The new method we propose here improves symbol recognition performance by using correction values of symbol recognition. These correction values sre calculated from the relations among handwritten stroke positions and mathematical structure. There is no report which takes account of mathematical structure information for synbol segmentation in the handwritten mathematical formula recognition. Our experiments have proven that the recognition rate of symbol segmentation by existing methods is between 90.2% and 93.3% while our proposed method gives correct recognition rate of 97.1%.", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/6870"}]}, "item_10_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "IEEE"}]}, "item_10_relation_11": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "http://dx.doi.org/10.1109/ICPR.2004.1334327", "subitem_relation_type_select": "DOI"}}]}, "item_10_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "Copyright \u00a9 2004 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University\u2019s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org."}]}, "item_10_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_10_text_14": {"attribute_name": "\u30d5\u30a9\u30fc\u30de\u30c3\u30c8", "attribute_value_mlt": [{"subitem_text_value": "application/pdf"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Toyozumi, Kenichi"}], "nameIdentifiers": [{"nameIdentifier": "13373", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Yamada, Naoya"}], "nameIdentifiers": [{"nameIdentifier": "13374", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Kitasaka, Takayuki"}], "nameIdentifiers": [{"nameIdentifier": "13375", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Mori, Kensaku"}], "nameIdentifiers": [{"nameIdentifier": "13376", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Suenaga, Yasuhito"}], "nameIdentifiers": [{"nameIdentifier": "13377", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Mase, Kenji"}], "nameIdentifiers": [{"nameIdentifier": "13378", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Takahashi, Tomoichi"}], "nameIdentifiers": [{"nameIdentifier": "13379", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-19"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "studyofsymbolsegmentation.pdf", "filesize": [{"value": "478.0 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 478000.0, "url": {"label": "studyofsymbolsegmentation.pdf", "url": "https://nagoya.repo.nii.ac.jp/record/5283/files/studyofsymbolsegmentation.pdf"}, "version_id": "b1c980b9-bf85-4a09-980d-d5c6964dfdcb"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "A study of symbol segmentation method for handwritten mathematical formula recognition using mathematical structure information", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "A study of symbol segmentation method for handwritten mathematical formula recognition using mathematical structure information"}]}, "item_type_id": "10", "owner": "1", "path": ["320/321/322"], "permalink_uri": "http://hdl.handle.net/2237/6870", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2006-08-28"}, "publish_date": "2006-08-28", "publish_status": "0", "recid": "5283", "relation": {}, "relation_version_is_last": true, "title": ["A study of symbol segmentation method for handwritten mathematical formula recognition using mathematical structure information"], "weko_shared_id": 3}