Abstract
A method of vehicle license plate recognition utilizing Karhunen-Loeve (K-L) transform is provided. The transform is used to extract features from a mass of image templates, to describe high-dimensional images with low-dimensional ones, and moreover, to implement data compression and play down complexity of the neural network. With the character to reduce eigenspace dimensionality of K-L transform and the ability to map data of BP network, the method does effectively in recognizing license plates.
| Original language | English |
|---|---|
| Pages (from-to) | 42-45 |
| Number of pages | 4 |
| Journal | Journal of Beijing Institute of Technology (English Edition) |
| Volume | 12 |
| Issue number | 1 |
| Publication status | Published - Mar 2003 |
Keywords
- BP network
- K-L transform
- Pattern recognition
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