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