Vehicle plate character identification method based on fuzzy logic
Abstract
This study suggests a scale-invariant feature transform combined with picture segmentation and fuzzy logic for car plate optical character identification. To extract the characteristics of each character, image segmentation divides each character in a plate region. On the other hand, the Scale Invariant Feature Transform, or SIFT, enables the extraction of each character's unique features from the plate. In order to accurately identify the characters, the SIFT algorithm's characteristics are analysed via fuzzy logic. To evaluate the algorithm's performance, this software employed MATLAB. The effectiveness of the suggested technique in extracting plate character attributes and identifying the characters in a given picture was demonstrated using the approach.
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