An Adaptive Method of Car Plate Image Enhancement Based on a Simplified Pulse Coupled Neural Network

Author

Wang Cheng ; Li Shao-Fa

Author_Institution

Dept. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China

Volume

1

fYear

2008

fDate

20-22 Dec. 2008

Firstpage

277

Lastpage

279

Abstract

Car plate recognition is a very important issue in many traffic related applications, and the enhancement process of car plate image is the key step at the very beginning. Its effect relates to the efficiency and precision of car plate localization and recognition directly. This paper brings forward a new car plate image enhancement method based on a simplified PCNN with the parameters determined by imagesÂ¿ spatial and grey characteristics adaptively. Enhancements on various car plate images are implemented with the proposed algorithm automatically and the experimental results demonstrate its validity and robustness.

Keywords

image enhancement; image recognition; neural nets; traffic engineering computing; adaptive method; car plate image enhancement; car plate localization; car plate recognition; simplified pulse coupled neural network; Assembly; Biological system modeling; Brain modeling; Computer networks; Computer science; Image enhancement; Image recognition; Joining processes; Neural networks; Neurons; Simplified Pulse Coupled Neural Network; car plate image enhancement; car plate recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3746-7

Type

conf

DOI

10.1109/ISCSCT.2008.96

Filename

4731425