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License Plate Recognition Algorithm for Passenger Cars in Chinese Residential Areas
Transportation and Traffic College, Jilin University, Nanling Campus, 5988 RenMin Street, Changchun 130022, China
Faculty of Engineering Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
* Author to whom correspondence should be addressed.
Received: 20 March 2012; in revised form: 7 June 2012 / Accepted: 7 June 2012 / Published: 15 June 2012
Abstract: This paper presents a solution for the license plate recognition problem in residential community administrations in China. License plate images are pre-processed through gradation, middle value filters and edge detection. In the license plate localization module the number of edge points, the length of license plate area and the number of each line of edge points are used for localization. In the recognition module, the paper applies a statistical character method combined with a structure character method to obtain the characters. In addition, more models and template library for the characters which have less difference between each other are built. A character classifier is designed and a fuzzy recognition method is proposed based on the fuzzy decision-making method. Experiments show that the recognition accuracy rate is up to 92%.
Keywords: license plate recognition; image processing; character localization; character segmentation; character
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Cite This Article
MDPI and ACS Style
Jin, L.; Xian, H.; Bie, J.; Sun, Y.; Hou, H.; Niu, Q. License Plate Recognition Algorithm for Passenger Cars in Chinese Residential Areas. Sensors 2012, 12, 8355-8370.
Jin L, Xian H, Bie J, Sun Y, Hou H, Niu Q. License Plate Recognition Algorithm for Passenger Cars in Chinese Residential Areas. Sensors. 2012; 12(6):8355-8370.
Jin, Lisheng; Xian, Huacai; Bie, Jing; Sun, Yuqin; Hou, Haijing; Niu, Qingning. 2012. "License Plate Recognition Algorithm for Passenger Cars in Chinese Residential Areas." Sensors 12, no. 6: 8355-8370.