There are no files associated with this item.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 997 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 977 | - |
dc.citation.title | PATTERN RECOGNITION | - |
dc.citation.volume | 37 | - |
dc.contributor.author | Jung, Keechul | - |
dc.contributor.author | Kim, Kwnag In | - |
dc.contributor.author | Jain, Anil K. | - |
dc.date.accessioned | 2023-12-22T11:06:19Z | - |
dc.date.available | 2023-12-22T11:06:19Z | - |
dc.date.created | 2019-02-25 | - |
dc.date.issued | 2004-05 | - |
dc.description.abstract | Text data present in images and video contain useful information for automatic annotation, indexing, and structuring of images. Extraction of this information involves detection, localization, tracking, extraction, enhancement, and recognition of the text from a given image. However, variations of text due to differences in size, style, orientation, and alignment, as well as low image contrast and complex background make the problem of automatic text extraction extremely challenging. While comprehensive surveys of related problems such as face detection, document analysis, and image & video indexing can be found, the problem of text information extraction is not well surveyed. A large number of techniques have been proposed to address this problem, and the purpose of this paper is to classify and review these algorithms, discuss benchmark data and performance evaluation, and to point out promising directions for future research. (C) 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved. | - |
dc.identifier.bibliographicCitation | PATTERN RECOGNITION, v.37, no.5, pp.977 - 997 | - |
dc.identifier.doi | 10.1016/j.patcog.2003.10.012 | - |
dc.identifier.issn | 0031-3203 | - |
dc.identifier.scopusid | 2-s2.0-1842712330 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/26217 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0031320303004175?via%3Dihub | - |
dc.identifier.wosid | 000220677200010 | - |
dc.language | 영어 | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.title | Text information extraction in images and video: a survey | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic | - |
dc.relation.journalResearchArea | Computer Science; Engineering | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | text information extraction | - |
dc.subject.keywordAuthor | text detection | - |
dc.subject.keywordAuthor | text localization | - |
dc.subject.keywordAuthor | text tracking | - |
dc.subject.keywordAuthor | text enhancement | - |
dc.subject.keywordAuthor | OCR | - |
dc.subject.keywordPlus | SCENE IMAGES | - |
dc.subject.keywordPlus | COLOR DOCUMENTS | - |
dc.subject.keywordPlus | LICENSE PLATES | - |
dc.subject.keywordPlus | DIGITAL VIDEO | - |
dc.subject.keywordPlus | RECOGNITION | - |
dc.subject.keywordPlus | RETRIEVAL | - |
dc.subject.keywordPlus | CHARACTERS | - |
dc.subject.keywordPlus | LOCATION | - |
dc.subject.keywordPlus | LOCALIZATION | - |
dc.subject.keywordPlus | SEGMENTATION | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr
Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.
ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.