车牌识别:综述

P. Kulkarni, A. Khandebharad, D. Khope, P. Chavan
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引用次数: 8

摘要

车牌识别(LPR)系统是大规模监控方法的重要标准之一。LPR系统一般由三个步骤组成:1]车牌提取,2]字符分割,3]识别。由于车牌的非均匀性和光照条件,车牌识别是一项至关重要的任务。大多数已开发的技术在特定条件下工作,如图像捕获角度,照明,固定背景。所有给定的LPR技术都根据处理时间、所需的计算能力和准确性而有所不同。由于没有任何标准,这些技术是无法比较的,但是可以判断出特定需求的有效路径。因此,我们提出了一种基于Arduino的车牌识别的新思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
License Plate Recognition: A review
The License Plate Recognition (LPR) system is one of the most important criterions of mass surveillance method. LPR systems are generally Composed of three steps namely, 1] plate extraction, 2] character Segmentation and 3] Recognition. License Plate Recognition is a crucial task due to the non-uniformity in license plates and the illumination conditions. Most of the developed techniques work under specific conditions such as image capturing angle, illumination, stationary background. All the given LPR techniques vary on the basis of processing time, required computational power and accuracy. Since the absence of any standard, these techniques are incomparable but an efficient path for specified requirements can be judged. Hence we are proposing a Novel idea of Arduino based License Plate Recognition.
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