Introduction to artificial neural systems
Introduction to artificial neural systems
Detecting the dominant points by the curvature-based polygonal approximation
CVGIP: Graphical Models and Image Processing
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License plate recognition involves three basics steps: 1) image preprocessing including thresholding, binarization, skew detection, noise filtering, and frame boundary detection, 2) character and number segmentations from the heading of the state area and the body of a license plate, 3) training and recognition on an Error Backpropagation Artificial Neural Networks (ANN). This report emphasizes on the implementation of modeling the recognition process. In particular, it deploys classical approaches and techniques for recognizing license plate numbers. The problems of recognizing characters and numbers from a license plate are described in details by examples. Also, the character segmentation algorithm is developed. This algorithm is then incorporated into the license plate recognition system.