文章基本信息

标题：Reduction of Confusing-Pair Effect in Car Registration Plate Identification
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作者：Dipankar Bhattacharya
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：4587-4589
出版社：TechScience Publications
摘要：Vehicle License Plate Recognition is a very significant & complex area of Image processing which has various applications. In situations where no standard number plate format and font is maintained, identification becomes difficult. But more important task is to identify the characters which is very similar to their structure such as 2-Z, B-8, S-5 etc which is termed as “Confusing Pair” in this paper. In this approach, ANN is used for character recognition on identification of Vehicle Registration Plates with various types of fonts. Experimental results show that the performance of the proposed method is simple and satisfactory, which can provide very high percentage of accuracy most of the time
关键词：Character Recognition; Segmentation; Artificial;Neural Network; Confusing Pair