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.
引用
收藏
页码:10621 / 10656
页数:35
相关论文
共 70 条
[1]  
Anagnostopoulos CNE(2006)A license plate-recognition algorithm for intelligent transportation system applications Intell Transp Syst, IEEE Trans 7 377-392
[2]  
Anagnostopoulos IE(2007)Text line extraction from multi-skewed handwritten documents Pattern Recogn 40 1825-1839
[3]  
Loumos V(2009)A hierarchical approach to recognition of handwritten Bangla characters Pattern Recogn 42 1467-1484
[4]  
Kayafas E(2010)A novel framework for automatic sorting of postal documents with multi-script address blocks Pattern Recogn 43 3507-3521
[5]  
Basu S(1996)A survey of methods and strategies in character segmentation Pattern Anal Mach Intell, IEEE Trans 18 690-706
[6]  
Chaudhuri C(2004)Automatic license plate recognition Intell Transp Syst, IEEE Trans 5 42-53
[7]  
Kundu M(2009)Robust extraction of text from camera images using colour and spatial information simultaneously J Univ Comp Sci 15 3325-3342
[8]  
Nasipuri M(2012)Automatic vehicle identification for Argentinean license plates using intelligent template matching Pattern Recogn Lett 33 1066-1074
[9]  
Basu D(2011)Statistical modeling for the detection, localization and extraction of text from heterogeneous textual images using combined feature scheme SIViP 5 165-183
[10]  
Basu S(2008)A new approach for text segmentation using a stroke filter Signal Process 88 1907-1916