Blind signal extraction algorithm for the license plate matching of vehicle positioning system

Author

Tenqchen, Shing ; Shu, Ying-Haw ; Sun, Ming-Chang ; Feng, Wu-Shung

Author_Institution

Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan

fYear

2004

fDate

28-30 Jan. 2004

Firstpage

440

Lastpage

442

Abstract

In this paper, we use ICALAB tool with our algorithm to extract the desired image of license plate captured by sensors, which will be essential used by vehicle positioning system (VPS). The use of the blind least mean square algorithm (BLMS) can often provide a useful method to extract the sources and independent component. The BLMS learning rule has a self-normalizing property, such that the unit length of the weight vector w/sub 1/ is approximately maintained. Simulation results show that the proposed BLMS significantly extract the license plate number when the vehicle is driving from Lane 1 to Lane 2 with moving blur.

Keywords

blind source separation; image matching; least mean squares methods; ICALAB tool; blind least mean square algorithm; blind least mean square learning rule; blind signal extraction; image sensors; license plate matching; moving blur; vehicle positioning system; Algorithm design and analysis; Conferences; Electronic equipment testing; Licenses; Signal design; System testing; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Design, Test and Applications, Proceedings. DELTA 2004. Second IEEE International Workshop on

Conference_Location

Perth, WA, Australia

Print_ISBN

0-7695-2081-2

Type

conf

DOI

10.1109/DELTA.2004.10077

Filename

1409884