Please use this identifier to cite or link to this item:
Type: Artigo de evento
Title: Numerical Character Recognition Via Matching Between Coded Patterns And Feature Vectors
Author: Lee Luan L.
Sosa Blanca R.M.
Abstract: This paper describes a novel approach for numerical character recognition based on the matching between coded patterns to feature vectors. A one-to-one correspondence among coded patterns, feature vectors and decision regions is established. Each numerical character is composed of eight primitive patterns. The procedure used to identify an unknown numerical character consists of recognizing primitive patterns, which are codewords of a linear code, and being matched to feature vectors.
Editor: IEEE, Piscataway, NJ, United States
Rights: fechado
Identifier DOI: 
Date Issue: 1996
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
2-s2.0-0030416221.pdf401.41 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.