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The authors propose a system for automatic recognition that has three phases: image capture, plate localization, and license plate number recognition.
Plate recognition will avoid the need to equip vehicles with special RF tags, since all vehicles possess a unique registration number plate.
Because of these variations, it has been challenging to develop an automated vehicle number plate detection system which can localize number plates or fonts of number plate correctly.
Since number plate guidelines are not strictly practiced everywhere, it often becomes difficult to correctly identify the non-standard number plate characters.
Proceedings ArticleDOI
Wu Wei, Yuzhi Li, Mingjun Wang, Zhongxiang Huang 
10 Sep 2001
24 Citations
Experimental results show that the correct rate of number-plate locations is close to 100%, and the number-plate locating time is less than 3 seconds using the proposed method.
Proceedings ArticleDOI
Wu Wei, Mingjun Wang, Zhongxiang Huang 
07 Oct 2001
45 Citations
The experimental results show that the correct rate of number-plate location is close to 100%, and the time of number-plate location is less than 1 second.
Open accessJournal ArticleDOI
Yuren Du, Wen Shi, Caiyun Liu 
01 Jan 2012-Physics Procedia
19 Citations
License plate area contains rich edge and texture information, which can be used to detect a number plate location.