%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2010/09.02.12.19
%2 sid.inpe.br/sibgrapi/2010/09.02.12.19.13
%@doi 10.1109/SIBGRAPI.2010.55
%T Text Regions Extracted from Scene Images by Ultimate Attribute Opening and Decision Tree Classification
%D 2010
%A Alves, Wonder Alexandre Luz,
%A Hashimoto, Ronaldo Fumio,
%@affiliation Institute of Mathematics and Statistics - University of São Paulo
%@affiliation Institute of Mathematics and Statistics - University of São Paulo
%E Bellon, Olga,
%E Esperança, Claudio,
%B Conference on Graphics, Patterns and Images, 23 (SIBGRAPI)
%C Gramado, RS, Brazil
%8 30 Aug.-3 Sep. 2010
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K scene-text localization, connected component approach, text information extraction, residual operator.
%X 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.
%@language en
%3 paper_final.pdf