Character recognition in car license plates based on principal components and neural processing

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.