A robust video based license plate recognition system

被引：4

作者：

Bremananth, R ^{[1
]}

Chitra, A ^{[1
]}

机构：

[1] PSG Coll Technol, Dept CSE, Coimbatore 641004, Tamil Nadu, India

来源：

2005 International Conference on Intelligent Sensing and Information Processing, Proceedings | 2005年

关键词：

image analysis; edge detection; character segmentation; character recognition; license plate localization;

D O I：

10.1109/ICISIP.2005.1529444

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

License plate recognition system (LPRS) is a difficult problem in the field of machine vision and is of substantial interest because of its applications to areas such as cross border security, law enforcement and various other automation applications. Previous methods used plate specific details such as aspect ratio, color or dimensions of the plate in the complex task of plate localization. In this paper, license plate localization process is carried out by weight based density map (WBDM) method, which is independent of such constraints. The proposed method also relaxes constraints in lighting conditions. The robustness of this method is well suited for application in countries like India where the appearance of plates varies widely. 1750 images were captured in different background scenes under various fighting conditions. This method has been tested with different types of vehicles such as buses, cars, trucks etc. The overall identification rate of this algorithm is 98.63% in different conditions.

引用

页码：175 / 180

页数：6