基于形态学和识别的车牌定位

C. Babu, K. Nallaperumal
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引用次数: 32

摘要

车牌图像定位是车牌识别应用中的一个重要步骤。这个问题带来了许多挑战,比如从光照差和恶劣天气条件下拍摄的图像中定位车牌;部分被污垢遮挡的底片和对比度较低的图像。提出了一种基于形态学的汽车车牌提取方法,并对车牌进行字符分割和重组。该算法对预处理后的车辆边缘图像进行形态学处理。特征特征,如车牌的宽度和高度,字符的高度和间距被认为是定义形态操作的结构元素。车牌内容的识别采用交叉相关和神经网络相结合的方法。在相当大的汽车图像集上的实验结果是非常令人鼓舞的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A license plate localization using morphology and recognition
Locating the car license plate in an image a car is an important step in car license plate recognition/identification applications. This problem poses many challenges like location of license plate from images taken in poor illumination and bad weather condition; plates that are partly obscured by dirt and images that have low contrast. This paper presents a morphology based method for license plate extraction from car images followed by the segmentation of characters and reorganization. This algorithm uses morphological operations on the preprocessed, edge images of the vehicles. Characteristic features such as license plate width and height, character height and spacing are considered for defining structural elements for morphological operations. The recognition of the contents of the license plate is performed using cross correlation followed by neural network. The experimental results with a reasonably large set of car images are very encouraging.
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