iLPR: an Indian license plate recognition system

被引:0
作者
Satadal Saha
Subhadip Basu
Mita Nasipuri
机构
[1] MCKV Institute of Engineering,ECE Department
[2] Jadavpur University,CSE Department
来源
Multimedia Tools and Applications | 2015年 / 74卷
关键词
License plate localization; Character segmentation; Character recognition; QTLR; Hough transform;
D O I
暂无
中图分类号
学科分类号
摘要
One of the major concerns of Integrated Traffic Management System (ITMS) in India is the identification of vehicles violating the stop-line at a road crossing. A large number of Indian vehicles do not stop at the designated stop-line and pose serious threat to the pedestrians crossing the roads. The current work reports the technicalities of the i\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ i $$\end{document}LPR (Indian License Plate Recognition) system implemented at five busy road-junctions in one populous metro city in India. The designed system is capable of localizing single line and two-line license plates of various sizes and shapes, recognizing characters of standard/ non-standard fonts and performing seamlessly in varying weather conditions. The performance of the system is evaluated with a large database of images for different environmental conditions. We have published a limited database of Indian vehicle images in http://code.google.com/p/cmaterdb/ for non-commercial use by fellow researchers. Despite unparallel complexity in the Indian city-traffic scenario, we have achieved around 92 % plate localization accuracy and 92.75 % plate level recognition accuracy over the localized vehicle images.
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页码:10621 / 10656
页数:35
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