文章基本信息

标题：License Plate Recognition (LPR): A Review with Experiments for Malaysia Case Study
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作者：Nuzulha Ibrahim ; Sazilah Salam ; Emaliana Kasmuri 等
期刊名称：International Journal of Soft Computing and Software Engineering
电子版ISSN：2251-7545
出版年度：2013
卷号：3
期号：3
页码：83-93
DOI：10.7321/jscse.v3.n3.15
出版社：Advance Academic Publisher
摘要：Most vehicle license plate recognition use neural network techniques to enhance its computing capability. The image of the vehicle license plate is captured and processed to produce a textual output for further processing. This paper reviews image processing and neural network techniques applied at different stages which are preprocessing, filtering, feature extraction, segmentation and recognition in such way to remove the noise of the image, to enhance the image quality and to expedite the computing process by converting the characters in the image into respective text. An exemplar experiment has been done in MATLAB to show the basic process of the image processing especially for license plate in Malaysia case study. An algorithm is adapted into the solution for parking management system. The solution then is implemented as proof of concept to the algorithm.
关键词：image processing ; preprocessing ; filtering ; feature extraction ; segmentation ; recognition ; experiment