1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/38737C8 |
Repository | sid.inpe.br/sibgrapi/2010/09.02.12.19 |
Last Update | 2010:09.02.12.19.13 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2010/09.02.12.19.13 |
Metadata Last Update | 2022:06.14.00.06.56 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2010.55 |
Citation Key | AlvesHash:2010:TeReEx |
Title | Text Regions Extracted from Scene Images by Ultimate Attribute Opening and Decision Tree Classification |
Format | Printed, On-line. |
Year | 2010 |
Access Date | 2024, Apr. 27 |
Number of Files | 1 |
Size | 1056 KiB |
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2. Context | |
Author | 1 Alves, Wonder Alexandre Luz 2 Hashimoto, Ronaldo Fumio |
Affiliation | 1 Institute of Mathematics and Statistics - University of São Paulo 2 Institute of Mathematics and Statistics - University of São Paulo |
Editor | Bellon, Olga Esperança, Claudio |
e-Mail Address | wonder@ime.usp.br |
Conference Name | Conference on Graphics, Patterns and Images, 23 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil |
Date | 30 Aug.-3 Sep. 2010 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2010-10-01 04:19:38 :: wonder@ime.usp.br -> administrator :: 2010 2022-06-14 00:06:56 :: administrator -> :: 2010 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | scene-text localization connected component approach text information extraction residual operator |
Abstract | In this work we propose a method for localizing text regions within scene images consisting of two major stages. In the first stage, a set of potential text regions is extracted from the input image using residual operators (such as ultimate attribute opening and closing). In the second stage a set of features is obtained from each potential text region and this feature set will be later used as an input to a decision tree classifier in order to label these regions as text or non-text regions. Experiments performed using images from ICDAR public dataset show that this method is a good alternative for problems involving text location in scene images. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2010 > Text Regions Extracted... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Text Regions Extracted... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/38737C8 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/38737C8 |
Language | en |
Target File | paper_final.pdf |
User Group | wonder@ime.usp.br |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46SJT6B 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.20.21 5 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume |
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