文章基本信息

标题：Localization of License Plate using Characteristics of Alphanumeric Characters
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作者：Pushpendra Singh Chouhan ; V. K. Govindan
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：3
页码：3407-3409
出版社：TechScience Publications
摘要：Automatic Number Plate Recognition (ANPR) system provides the identity of vehicles based of number plate recognition. This paper presents a characteristic based methodology for localization of Indian number plates. Since number plate standards are not strictly practiced in India, a large amount of variations are obtained in parameters like, size and characters of number plate, location of number plate, type of license plate like single row or double row license plate, type of font used, background and foreground color, etc. All these variations make the task of number plate localization all the more difficult. Alphanumeric characters have specific characteristics in binary image. An approach for localization of license plate using those characteristics is presented. The results demonstrate an accuracy of 90%.
关键词：Inverted L masking; Reverse L filter; white pixel;density; Position filter; Otsu’s algorithm