XIV Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'01) Multi-Resolution Classification Trees in OCR Design Florianopolis, Brazil October 15-October 18 ISBN: 0-7695-1330-1
Abstract. 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.
Index Terms:
Classification tree, OCR, morphological multi-classifier.
Citation:
M. Brun, J. Barrera, N. Hirata, N. Trepode, D. Dantas, R. Terada, "Multi-Resolution Classification Trees in OCR Design," sibgrapi, pp.59, XIV Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'01), 2001 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||