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《Chinese Journal of Scientific Instrument》 2011-05
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Car license plate location algorithm based on intensity variance and edge density

Zhang Haopeng,Wang Zongyi(Automation College,Harbin Engineering University,Harbin 150001,China)  
In the process of car license plate location,camera can't obtain high quality images easily due to illumination conditions,viewpoint and distance changes,vehicle motion,complex background,and etc.In order to alleviate the impact of these problems on car license plate location algorithm,a new algorithm using the properties of license plate region is proposed.The license plate region has the properties that the intensity variance is approximately equal and edge density is also approximately equal and within a certain range,which are used to enhance the license plate region.In order to locate the license plate region,a matched filter based on the property of edge density is designed.The filter can effectively extract all the possible objects.Then,the object authenticity confirmation is performed using morphological operation and priori knowledge.An experiment was carried out with 700 actual images acquired under different environments,and experimental results show that the proposed algorithm can effectively improve the image quality of license plate region and the object location accuracy is 98.4%,which proves that the proposed object location method is effective and robust.
【Fund】: 中国博士后科学基金(No.20080440840);; 黑龙江省自然科学基金(No.AF200921)资助项目
【CateGory Index】: TP391.41
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