%0 Conference Proceedings
%4 sid.inpe.br/banon/2002/11.29.09.53
%2 sid.inpe.br/banon/2002/11.29.09.53.30
%@doi 10.1109/SIBGRAPI.2001.963038
%T Multi-resolution classification trees in OCR design
%D 2001
%A Brun, Marcel,
%A Barrera, Junior,
%A Hirata, Nina S. T.,
%A Trepode, Nestor W.,
%A Dantas, Daniel,
%A Terada, Routo,
%E Borges, Leandro Díbio,
%E Wu, Shin-Ting,
%B Brazilian Symposium on Computer Graphics and Image Processing, 14 (SIBGRAPI)
%C Florianópolis, SC, Brazil
%8 15-18 Oct. 2001
%I IEEE Computer Society
%J Los Alamitos
%P 59-66
%S Proceedings
%1 SBC - Brazilian Computer Society
%K classification trees, OCR, morphological multi-classifier.
%X This paper recalls the idea of classification trees in OCR (Optical Character Recognition) systems and proposes a technique for the automatic design of these classification trees. The design of both the classification trees and of the classification operators are based on training from sample pairs of observed-ideal images, allowing the development of customized OCRs.
%@language en
%3 59-66.pdf
%O The conference was held in Florianópolis, SC, Brazil, from October 15 to 18.