A Thai License Plate Recognition using Optical Character Recognition Technique with K-Nearest Neighbor Algorithm
Keywords:
License Plate Recognition, Optical Character RecognitionAbstract
This research aimed to present the license plate recognition system using Optical Character Recognition program with K-Nearest Neighbor algorithm. The license plate image of 455 pictures were included in the experiment taken in -45°, -30°, -15°, 0°, 15°, 30°, and 45° angles. The system consisted of two steps. Firstly, the affine transformations, morphological operations, Sobel operators, and blob analysis were employed to locate the license plates. Finally, the optical character recognition program with k-nearest neighbor algorithm were used recognize the characters in the images. The research revealed that the system could yield an average of 92.96 % accuracy for license plate identification, 88.79 % accuracy for character recognition. These techniques can apply for license plate recognition based on artificial intelligent system.
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