Reference TypeConference Proceedings
Citation KeyAlvesHash:2010:TeReEx
Author1 Alves, Wonder Alexandre Luz
2 Hashimoto, Ronaldo Fumio
Affiliation1 Institute of Mathematics and Statistics - University of São Paulo
2 Institute of Mathematics and Statistics - University of São Paulo
TitleText Regions Extracted from Scene Images by Ultimate Attribute Opening and Decision Tree Classification
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
EditorBellon, Olga
Esperança, Claudio
Book TitleProceedings
DateAug. 30 - Sep. 3, 2010
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationGramado
Keywordsscene-text localization, connected component approach, text information extraction, residual operator.
AbstractIn 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.
Tertiary TypeFull Paper
FormatPrinted, On-line.
Size1056 KiB
Number of Files1
Target Filepaper_final.pdf
Last Update2010:
Metadata Last Update2010: {D 2010}
Document Stagecompleted
Is the master or a copy?is the master
Content TypeExternal Contribution
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History2010-10-01 04:19:38 :: -> :: 2010
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Access Date2020, Nov. 27