Title :
Research On Vehicle Anti-theft and Alarm System Using Facing Recognition
Author :
Liu, Zhixiong ; He, Guiming
Author_Institution :
Sch. of Electr. Eng., Wuhan Univ.
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;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614771