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标题：BMM Filtering Approach for Image Enhancement of Indian High Security Registration Number Plate
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作者：Reena Gupta ; R. K. Somani ; Manju Mandot 等
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：7
页码：7112-7118
出版社：IJECS
摘要：The population of India is growing expeditiously with a national average growth rate of 1.41per cent per annum (Census ofIndia, 2011). Increase in population and economic activities the travel demand has increased many folds. The inadequate publictransport and the easy availability of financing facilities for private vehicles have resulted in increased vehicle ownership levels andtheir usage.Crumbling road infrastructure coupled with the increase in vehicle population has hurled the city's traffic problem to ungovernablelevels. There could be two possible viewpoints to solve this problem. First viewpoint is to come up with an infrastructure which involvedwider roads, expressways, flyovers and bypasses. But in developing age of developing countries like India, Malaysia, Sri Lanka, etcmoney and space are very big concerning problem. Second viewpoint is to manage the existing traffic load on the same availableinfrastructure, with the use of technology. This calls for the vital need of Intelligent Transportation Systems (ITS), which helps inmanaging billion vehicles that are running on the roads.This paper mainly focused on image enhancement and segmentation phase of high security registration number plate recognitionsystem. We present the Hybrid approach of the Boat operator filter and Montane filter, which is very useful and successful filteringtechnique for image enhancement and edge detection.
关键词：BMM approach; hybrid; boat operator; montane;HSRNP