基于主成分和神经处理的车牌字符识别

VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings. Pub Date : 1900-01-01 DOI:10.1109/SBRN.2002.1181475

A. da Rocha Gesualdi, J. Manoel de Seixas

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引用次数: 14

摘要

我们详细介绍了应用于神经识别系统的主成分分析(PCA)。通过对巴西人车牌字符图像主成分的提取，对该方法进行了评价。本文主要研究了PCA在字符图像识别中的应用。并与不同的神经分类器进行了比较。

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

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.

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VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings.

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