Title :
Notice of Retraction
The Design of Automotive Burglar-Proof Based on Human Face Recognition
Author :
Yun Yang ; JinHao Liu
Author_Institution :
Coll. of Electr. Eng., Shanxi Univ. of Sci. & Technol., Xi´an, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
For the traditional automotive burglarproof systems usually only rely on the simple remote control to the security which measures are not perfect and functions are too single. For solving the bugs of traditional ones, the author designs a new vehicle burglarproof system. The chip of S3C2410 is used for the core of microprocessor in ARM9 ,furthermore, the algorithm which is based on DDCT (Divided Discrete Cosine Transform) and TCSVD (Singular Value Decomposition Threshold Compression) of human face feature extraction and recognition can use into this embedded system, and for the sake of the GSM wireless transmission technology .
Keywords :
discrete cosine transforms; embedded systems; face recognition; feature extraction; hardware-software codesign; microprocessor chips; security; singular value decomposition; telecontrol equipment; vehicles; GSM wireless transmission technology; S3C2410 chip; automotive burglarproof systems; divided discrete cosine transform; embedded system; feature extraction; human face recognition; microprocessor core; security; simple remote control; singular value decomposition threshold compression; vehicle burglarproof system; Automotive engineering; Computer bugs; Control systems; Discrete cosine transforms; Face recognition; Humans; Microprocessors; Security; Semiconductor device measurement; Vehicles; ARM9; GSM; automotive burglarproof; humanfance recognition;
Conference_Titel :
E-Learning, E-Business, Enterprise Information Systems, and E-Government, 2009. EEEE '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-0-7695-3907-2
DOI :
10.1109/EEEE.2009.56
