Im a final year university student who is doing a license plate recognition system as my final year project. I want to know when recognizing the 开发者_C百科characters what suits the best, is it artificial nurel networks(ANN) or optical character recognition(OCR) using pattern matching? Or is there any easy method I can use? All the answered welcomed.
Thanks a lot
The easiest method by far is normalized cross correlation. However, I would only recommend this method if there is only one license plate font and no perspective warping. On the other hand, more sophisticated classifiers such as neural networks or support vector machines can take a considerable time to implement.
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