Research On Vehicle Anti-theft and Alarm System Using Facing Recognition

Author

Liu, Zhixiong ; He, Guiming

Author_Institution

Sch. of Electr. Eng., Wuhan Univ.

Volume

2

fYear

2005

Firstpage

925

Lastpage

929

Abstract

In this paper, a vehicle anti-theft system has been developed. When the car starts, this system begins to work, it captures the driver´s video images using an active IR illuminator, then locates the driver´s eyes and recognizes the driver´s face using PCA algorithm. If the current driver is found to be unauthorized by compared his face image with the face images prestored, this system would alarm and send the unauthorized driver´s image to car owner or police through CDMA or GPRS networks. This system was tested in a simulating environment with subjects of different ages, with/without glasses, and under different illumination conditions, and it was found very robust, reliable

Keywords

alarm systems; biometrics (access control); face recognition; mechanical engineering computing; principal component analysis; vehicles; video signal processing; CDMA network; GPRS networks; PCA algorithm; face images; facing recognition; vehicle alarm system; vehicle anti-theft system; video images; Alarm systems; Eyes; Face recognition; Glass; Ground penetrating radar; Image recognition; Multiaccess communication; Principal component analysis; System testing; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Brain, 2005. ICNN&B '05. International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9422-4

Type

conf

DOI

10.1109/ICNNB.2005.1614771

Filename

1614771