DocumentCode
692024
Title
License Plate Recognition Based on Edge Detection Algorithm
Author
Jin Chong ; Chen Tianhua ; Ji Linhao
Author_Institution
Sch. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
fYear
2013
fDate
16-18 Oct. 2013
Firstpage
395
Lastpage
398
Abstract
With the development of vehicles and the increasing number of cars in modern society, people pay more and more attention to the vehicle license plate recognition system. Vehicle license plate recognition is divided into three parts: license positioning, character segmentation and character recognition. This paper proposes a new way of vehicle license plate recognition. In license positioning, the license positioning method is based on median filtering double edge detection, in character segmentation, it adopts a combinative method of locating the original level and improved vertical projection segmentation algorithm, in character recognition, the recognition method is based on classification template matching of font characteristics. The proposed license recognition method focuses on the timeliness of recognition process. Its smaller calculation largely reduces the time of license recognition, with high accuracy and precision rate at the same time.
Keywords
automobiles; character recognition; edge detection; image classification; image matching; image segmentation; median filters; traffic engineering computing; cars; character recognition; character segmentation; classification template matching; edge detection algorithm; font characteristics; license positioning; median filtering double edge detection; vehicle development; vehicle license plate recognition system; vertical projection segmentation algorithm; Character recognition; Filtering; Image color analysis; Image edge detection; Image segmentation; Licenses; edge detection; license recognition; template matching; vertical projection;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/IIH-MSP.2013.105
Filename
6846661
Link To Document