2025 Volume 13 Issue 1 Pages 119-125
License plates captured in surveillance videos often have insufficient resolution, making it difficult to recognize the numbers. In this paper, we propose a novel method for license plate number recognition using sparse PCA coefficients and Naive Bayes classifier. The proposed method is applied to low-resolution license plate images, and its performance is compared with two conventional methods: moment features with Bayes classifier and PCA coefficients with naive Bayes classifier. The evaluation results, including the first-candidate recognition rate, the recognition rate up to the second candidate, and the classification cross-entropy, show that the proposed method achieves the best performance.
