An Approach to Recognize Characters using Neural Network in LPR System
نویسنده
چکیده
Automatic license plate recognition system is an image processing technology used to identify vehicles by their license plates. Such systems require the recognition of characters from the plate image. Artificial neural networks are commonly used to perform character recognition due to their high noise tolerance. Feed-Forward Neural Network (FFNN) can be used to recognize the characters from images. The document is expected to serve as a resource for learners in pattern recognition, neural networking and related disciplines.
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