Friday, 25 December 2009

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Transactions: INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Transactions ID Number: 19-213
Full Name: Yanping Bai
Position: Professor
Age: ON
Sex: Female
Address: North University of China. No 3 xueyuan road, TaiYuan, ShanXi 030051, China.
Country: CHINA
Tel: +86 351 3922721
Tel prefix: +86 351 3922729
Fax: +86 351 3921336
E-mail address: baiyp@nuc.edu.cn
Other E-mails:
Title of the Paper: a recognition system of china-style license plates based on Mathematical morphology and neural network
Authors as they appear in the Paper: Yanping Bai, Hongping Hu, Fei Li, Wei Shuang, Lixia Gong
Email addresses of all the authors: baiyp@nuc.edu.cn,huhongping@nuc.edu.cn,baiyp666@163.com,shuangwei@nuc.edu.cn,gonglixialhdz@163.com
Number of paper pages: 8
Abstract: Vehicle license plate recognition system is the hardcore of the intelligent traffic system. Through the research of four key links of the license plate location, image pre-processing, character segmentation and character recognition, the paper has designed an intact license plate recognition system and has implemented the simulation in the environment of MATLAB. The license plate location, which is based on colour character and vein character, has realized the thick location of the blue bottom and white word license plate. The image pre-processing, which is included gray processing, binary processing and the license plate slant correction to the horizontal line, is adopted by the related operation of mathematical morphology and Radon transformation. Character segmentation is based on the improved horizontal projection. Aiming at the characteristic of China-style license plates, the character recognition is proposed to use four kinds of different classification devi!
ces by using the improved BP neural network. This system is effective for solving the problems which are Chinese character unconnected, cement of the character, illumination variance and interference of the noise and space mark.
Keywords: Artificial neural network, Character segmentation, Image processing, License plate recognition, Mathematical morphology, Radon transformation.
EXTENSION of the file: .doc
Special (Invited) Session: A Chinese License Plate Recognition System
Organizer of the Session: ID number 697-184
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