Abstract
Edge detection as a pre-processing stage is a fundamental and important aspect of the number plate extraction system. This is due to the fact that the identification of a particular vehicle is achievable using the number plate because each number plate is unique to a vehicle. As such, the characters of a number plate system that differ in lines and shapes can be extracted using the principle of edge detection. This paper presents a method of number plate extraction using edge detection technique. Edges in number plates are identified with changes in the intensity of pixel values. Therefore, these edges are identified using a single based pixel or collection of pixel-based approach. The efficiency of these approaches of edge detection algorithms in number plate extraction in both noisy and clean environment are experimented. Experimental results are achieved in MATLAB 2017b using the Pratt Figure of Merit (PFOM) as a performance metric
Abstract (translated)
将边缘检测作为预处理阶段是数字路牌提取系统的关键和重要方面。这是因为通过数字路牌可以实现对特定车辆的识别，因为每个数字路牌都是独一无二的。因此，使用边缘检测原理可以提取不同形状和线性的数字路牌系统中的字符。本文介绍了一种使用边缘检测技术进行数字路牌提取的方法。通过改变像素值的强度来识别数字路牌中的边缘。因此，这些边缘使用基于像素的单个或像素集合方法进行识别。在数字路牌提取的嘈杂和干净环境中，这些边缘检测算法的效率进行了实验验证。实验结果是在MATLAB 2017b中使用普特图性能度量（PFOM）取得的。
URL
https://arxiv.org/abs/2402.18251
