Automatic License Plate Recognition: A Comparative Study

被引:0
|
作者
Ahmad, Imran Shafiq [1 ]
Boufama, Boubakeur [1 ]
Habashi, Pejman [1 ]
Anderson, William [2 ]
Elamsy, Tarik [1 ]
机构
[1] Univ Windsor, Sch Comp Sci, Windsor, ON N9B 3P4, Canada
[2] Univ Windsor, Cross Border Inst, Windsor, ON N9B 3P4, Canada
来源
2015 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT) | 2015年
关键词
Automatic License plate recognition; ALPR; Automatic number plate recognition; ANPR; OCR; SEGMENTATION;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Automatic license plate recognition (ALPR) is the process of locating and extracting vehicles plate information from images or videos. The extracted information is essential for several everyday applications, ranging from automated payment services (e.g. parking and toll roads payment collection) to more critical applications, like border crossing security and traffic surveillance systems. Various solutions have been proposed for the ALPR problem, with many available commercial packages. However, amid plate variations from place to place, ALPR systems tend to be region-specific. There is no general solution that works effectively everywhere for every province/state or country. In this paper, we have reviewed a set of state-of-the-art ALPR methods and, compared their respective performances by testing them on a rich database of vehicles from Ontario (Canada).
引用
收藏
页码:635 / 640
页数:6
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