文章基本信息

标题：Vehicle Plate Number Detection and Recognition Using Improved Algorithm
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作者：Cosmo H. Munuo ; Michael. Kisangiri ; Nerey H. Nvungi 等
期刊名称：Computer Engineering and Intelligent Systems
印刷版ISSN：2222-1727
电子版ISSN：2222-2863
出版年度：2014
卷号：5
期号：10
页码：31-40
语种：English
出版社：International Institute for Science, Technology Education
摘要：The growing Tanzanian population currently estimated to be 48 Million people and their use of vehicles as means of transport has kept increasing making enforcing traffic rules and regulations among road users a major challenge. This calls for a need to have an automated system that monitors the motorists with a pre-defined sense of intelligence. A Vehicle Detection and Recognition Algorithm which can provide automated access to relevant information to a number plate from information systems containing and managing databases on vehicle and their movements is required. This paper presents work on developed algorithm that localizes plate area, extract and segment character, and finally recognizes and interprets registration number from vehicle image. MATLAB R2012b Simulation software with Image Processing toolbox is employed. HSV color space image, morphological and statistical analysis operations were integrated and employed to a vehicle image to compute plate number area. In segmentation the properties like aspect ratio, extent, and area ratio were important measurement parameters. Finally, the template matching database and statistical character extracted from car image was correlated to recognize alphanumeric character to deduce car registration number. Keywords — Character extraction, Detection algorithm, Recognition algorithm, Morphological matching, Template matching
关键词：— Character extraction; Detection algorithm; Recognition algorithm; Morphological matching; Template matching