完整後設資料紀錄
DC 欄位語言
dc.contributor.authorChen, JLen_US
dc.contributor.authorLee, HJen_US
dc.date.accessioned2014-12-08T15:43:27Z-
dc.date.available2014-12-08T15:43:27Z-
dc.date.issued2001-09-01en_US
dc.identifier.issn0031-3203en_US
dc.identifier.urihttp://dx.doi.org/10.1016/S0031-3203(00)00115-1en_US
dc.identifier.urihttp://hdl.handle.net/11536/29418-
dc.description.abstractThis paper presents a novel approach to grouping Chinese handwritten field data filled in form documents using a gravitation-based algorithm. An algorithm is developed to extract handwritten field data which may be written out of form fields. First, form lines are extracted and removed from input form images. Connected-components are then detected from remaining data, and the gravitation for each connected-component is computed by using the black pixel counts as their mass. Next, we move connected-components according to their gravitation. As generally known, filled-in data have the locality property, i.e., data of the same field are normally written in a local area consecutively. Therefore, the relationship of these connected-components can be determined by this property. Repeatedly moving these connected-components according to their neighbor components allows us to determine which connected-components should be extracted for a particular field. Experimental results demonstrate the effectiveness of the proposed method in grouping field data, (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectform document processingen_US
dc.subjectfield-data groupingen_US
dc.subjectgravitation-based algorithmen_US
dc.subjectconnected-componenten_US
dc.subjectlocality propertyen_US
dc.titleField data extraction for form document processing using a gravitation-based algorithmen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/S0031-3203(00)00115-1en_US
dc.identifier.journalPATTERN RECOGNITIONen_US
dc.citation.volume34en_US
dc.citation.issue9en_US
dc.citation.spage1741en_US
dc.citation.epage1750en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000169884100004-
dc.citation.woscount5-
顯示於類別:期刊論文


文件中的檔案:

  1. 000169884100004.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。