Title :
Character recognition in car license plates based on principal components and neural processing
Author :
da Rocha Gesualdi, A. ; Manoel de Seixas, J.
Author_Institution :
COPPE, Univ. Fed. do Rio de Janeiro, Brazil
Abstract :
We present, in details, the principal component analysis (PCA) applied to a neural based recognition system. The technique is valuated on the extraction of principal components in character images of Brazilians´ car license plates. This paper focus on the usage of the PCA in the recognition of character images. Comparisons with different neural classifiers are made.
Keywords :
automobiles; character recognition; feature extraction; image classification; neural nets; principal component analysis; traffic engineering computing; Brazil; car license plates; character recognition; feature extraction; intelligent transportation systems; neural network; pattern classification; principal component analysis; Character recognition; Data mining; Image databases; Image recognition; Intelligent transportation systems; Licenses; Neural networks; Neurons; Principal component analysis; Signal processing;
Conference_Titel :
Neural Networks, 2002. SBRN 2002. Proceedings. VII Brazilian Symposium on
Print_ISBN :
0-7695-1709-9
DOI :
10.1109/SBRN.2002.1181475
