Reconhecimento de caracteres alfanumericos atraves de tecnicas de logica nebulosa
AUTOR(ES)
Thomas de Araujo Buck
DATA DE PUBLICAÇÃO
1990
RESUMO
The Pattern Recognition problem is divided into classification and description of the patterns, in which are used Fuzzy Logic techniques, giving flexibility 1n the recogn1t1on process and a tolerance capability to the system. From the var10us dist1ncts mathematical techniques used in the solution of the pattern recogn1t10n problem, there 1s the so called linguistic approach, where the patterns are represented as a string, tree or graph of its primitives and relations, and the decision process is in general a gramatical analysis procedure. With emphasis in the structural description of patterns, the syntactic approach try to establish an analogy between the structural analysis of the images and the syntax of a formal language. The patterns are seen as sentences in a Formal Theory of Vision Language by a formal grammar. One of the most important necessity in the project of a structural pattern recognition system is the experimental development of a grammar, capable of representing the needed syntactic analysis for doing the automatic classification. Even if a universal primitive set for the linguistic recognition of patterns does not exist yet, the PDL expressions of Alan Shaw can be utilized for various applications, from among the recognition of alphanumeric characters
ASSUNTO(S)
ACESSO AO ARTIGO
http://libdigi.unicamp.br/document/?code=vtls000033313Documentos Relacionados
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