Vehicle-license-plate recognition based on neural networks

Author

Liu, YiQing ; Wei, Dong ; Zhang, Ning ; Zhao, MinZhe

Author_Institution

Control Theor. & Control Eng., Beijing Inst. of Civil Eng. & Archit., Beijing, China

fYear

2011

fDate

6-8 June 2011

Firstpage

363

Lastpage

366

Abstract

A license plate recognition system based on neural networks was designed and developed. The system used a neural-network chip to recognize license plates. The chip combined video image processing module with neural network module by using equalized image processing algorithm and network classification algorithm. A set of interface circuit was developed for implementing license-plate-number recognition. Experiment results show the system can guarantee a very low error rate at an acceptable recognition time.

Keywords

image recognition; neural nets; pattern classification; traffic engineering computing; video signal processing; equalized image processing algorithm; interface circuit; network classification algorithm; neural networks; vehicle license plate recognition; video image processing module; Artificial neural networks; Character recognition; Graphical user interfaces; Image recognition; Licenses; Neurons; FPGA; Neural networks; Vehicle license plate recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Automation (ICIA), 2011 IEEE International Conference on

Conference_Location

Shenzhen

Print_ISBN

978-1-4577-0268-6

Electronic_ISBN

978-1-4577-0269-3

Type

conf

DOI

10.1109/ICINFA.2011.5949018

Filename

5949018