基于相位一致性和字符纹理特征的车牌定位算法

License Plate Location Based on Phase Congruency and Character Texture Characteristics

针对在光照变化和光线不足环境下车牌定位困难的问题,将相位一致性应用于车牌定位,提出了基于相位一致性和字符纹理特征的车牌检测算法。利用相位一致性不受亮度和对比度变化影响的特点,提取图像边缘信息;在获得的图像相位一致性边缘上,扫描车牌图像。将扫描区域垂直投影为一维信号,并利用小波多分辨率的特性滤除噪声的干扰,再根据车牌中的字符纹理的统计量特征进行车牌提取。实验表明,该算法在光照变化和光线不足的环境下,能获得96%的车牌识别准确率。

Because of the influence of illumimation changes and insurfficient light,license plate location is much more difficult and has lower accuracy. The phase consistency was used for extracting the image edge information,and character texture was used for extracting the plate area in image. Using vertical projection to get the one-dimensional signal of scanning plate area. The interference of noise is filted out by using the wavelet multiresolution characteristics. Finally,using statistic characteristics of license plate to extracte it. The simulation results show that the the accuracy of this algorithm can achieve 96% in the illumination and low light environment.