Marar, João Fernando [UNESP]De Barros Carvalho Filho, Edson CostaDos Santos, José Dias2014-05-272014-05-271997-02-01European Space Agency, (Special Publication) ESA SP, n. 407, p. 211-216, 1997.0379-6566http://hdl.handle.net/11449/65028The merit of the Karhunen-Loève transform is well known. Since its basis is the eigenvector set of the covariance matrix, a statistical, not functional, representation of the variance in pattern ensembles is generated. By using the Karhunen-Loève transform coefficients as a natural feature representation of a character image, the eigenvector set can be regarded as an feature extractor for a classifier.211-216porKarhunen-Loève TransformNeural NetworksPattern RecognitionArtigoAcesso aberto2-s2.0-57442380601233049484488761