DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, S | - |
dc.contributor.author | Yun, JP | - |
dc.contributor.author | Koo, K | - |
dc.contributor.author | Kim, SW | - |
dc.date.accessioned | 2016-03-31T08:49:46Z | - |
dc.date.available | 2016-03-31T08:49:46Z | - |
dc.date.created | 2013-02-08 | - |
dc.date.issued | 2012-07 | - |
dc.identifier.issn | 0957-4174 | - |
dc.identifier.other | 2012-OAK-0000026362 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/16135 | - |
dc.description.abstract | This paper deals with algorithms for text localization and character segmentation in images for process automation in the steel-making industry. Each character which comprises slab identification numbers may be corrupted severely before it is captured by network cameras. Therefore, proper processing is required to localize the target texts successfully. In this paper, we propose (1) a method to evaluate the closeness of an edge patch to the form of a closed contour, (2) an edge inspection method to determine character colors and estimate font thickness, and (3) three reasonable binarization methods to increase the performance of the algorithm for the detection of the left and right boundaries of the text rectangle. The experimental results show that the proposed algorithms are reliable. (C) 2012 Elsevier Ltd. All rights reserved. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.relation.isPartOf | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.subject | Text detection | - |
dc.subject | Text localization | - |
dc.subject | Text extraction | - |
dc.subject | Text-finder | - |
dc.subject | Character location | - |
dc.subject | Character segmentation | - |
dc.subject | Optical character recognition (OCR) | - |
dc.subject | TEXT DETECTION | - |
dc.subject | VIDEO FRAMES | - |
dc.subject | STROKE FILTER | - |
dc.subject | COLOR IMAGES | - |
dc.subject | RECOGNITION | - |
dc.subject | ALGORITHM | - |
dc.subject | LOCATION | - |
dc.subject | EDGE | - |
dc.title | Localizing slab identification numbers in factory scene images | - |
dc.type | Article | - |
dc.contributor.college | 창의IT융합공학과 | - |
dc.identifier.doi | 10.1016/J.ESWA.2012.01.124 | - |
dc.author.google | Choi, S | - |
dc.author.google | Yun, JP | - |
dc.author.google | Koo, K | - |
dc.author.google | Kim, SW | - |
dc.relation.volume | 39 | - |
dc.relation.issue | 9 | - |
dc.relation.startpage | 7621 | - |
dc.relation.lastpage | 7636 | - |
dc.contributor.id | 10055882 | - |
dc.relation.journal | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | EXPERT SYSTEMS WITH APPLICATIONS, v.39, no.9, pp.7621 - 7636 | - |
dc.identifier.wosid | 000303281600005 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 7636 | - |
dc.citation.number | 9 | - |
dc.citation.startPage | 7621 | - |
dc.citation.title | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.citation.volume | 39 | - |
dc.contributor.affiliatedAuthor | Kim, SW | - |
dc.identifier.scopusid | 2-s2.0-84862779341 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 8 | - |
dc.description.scptc | 8 | * |
dc.date.scptcdate | 2018-05-121 | * |
dc.type.docType | Article | - |
dc.subject.keywordPlus | TEXT DETECTION | - |
dc.subject.keywordPlus | RECOGNITION | - |
dc.subject.keywordPlus | LOCATION | - |
dc.subject.keywordPlus | EDGE | - |
dc.subject.keywordAuthor | Text detection | - |
dc.subject.keywordAuthor | Text localization | - |
dc.subject.keywordAuthor | Text extraction | - |
dc.subject.keywordAuthor | Text-finder | - |
dc.subject.keywordAuthor | Character location | - |
dc.subject.keywordAuthor | Character segmentation | - |
dc.subject.keywordAuthor | Optical character recognition (OCR) | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
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