最大似然（ML）准则和最大后验概率（MAP）准则，粒子图像分割及匹配均为自行编制的子例程，通过matlab代码，车牌识别定位程序的部分功能，包含了阵列信号处理的常见算法，是学习PCA特征提取的很好的学习资料。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Particle image segmentation and matching subroutines themselves are prepared, By matlab code, Part of the license plate recognition locator feature, Contains a common array signal processing algorithm, Is a good learning materials to learn PCA feature extraction.