摘要： 为提高多车牌定位的精度，提出一种基于二进小波变换的车牌定位算法。该算法可对单、多车牌定位，具有精度高、对光照影响不显著等特点。以实际监控的图像为实验数据进行对比，结果表明，在不同背景和不同光照情况下，基于二进小波变换的车牌定位算法在定位精度、漏判率和误判率等方面均优于基于金字塔分解的定位算法。

关键词: 二进小波, 车牌定位, 形态学

Abstract: An algorithm which can improve the accuracy of vehicle license plate location using dyadic wavelet transform is presented. Based on texture feature of license plates and the characteristic of dyadic wavelet transform, the wavelet coefficients in vertical direction are retained. The proposed algorithm is suitable for the single-license and multi-license plate detection in the various illumination conditions with high accuracy. The performance of the proposed algorithm is tested on monitoring images obtained from the practical application. Experimental results show that the algorithm has better performance than Mallat’s on location precision, misdetection rate, and misjudgment rate.

Key words: dyadic wavelet, license plate localization, morphology

中图分类号: 

• TP391