Title :
License plate recognition system
Author :
Wu, Hui ; Li, Bing
Author_Institution :
Process Equip. & Control Eng., Beijing Instn. of Technol., Beijing, China
Abstract :
The purpose of this article was to build a license plates recognition system with high accuracy at night. The system, based on regular PC, catches video frames which include a visible car license plate and processes them. Once a license plate is detected, its digits are recognized, and then checked against a database. The focus is on the modified algorithms to identify the individual characters. In this article, we use the template matching method and neural net method together, and make some progress on the study before. The result showed that the accuracy is higher at night.
Keywords :
character recognition; image matching; image sequences; neural nets; traffic engineering computing; PC; digit recognition; license plate recognition system; neural net method; template-matching method; video frames; visible car license plate; Accuracy; Character recognition; Feature extraction; Licenses; Process control; Support vector machine classification; Vehicles; LPR; License plate; OCR; night conditions; recognition systems;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6003138
