An Error Back-Propagation Artificial Neural Networks Application in Automatic Car License Plate Recognition
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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 Back-propagation 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.
KeywordsArtificial Neural Network Image File License Plate Projection Profile Layout Analysis
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