Multi-resolution classification trees in OCR design
Marcel Brun, Júnior Barrera, Nina S. T. Hirata, Nestor Walter Trepode, Daniel Oliveira Dantas, Routo Terada · 2002
The 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.