DocumentCode :
3562623
Title :
FPGA implementaion: Smart card based license management using iris scanning approach
Author :
Laudis, Lalin L. ; Sinha, Amit Kumar ; Saravanan, P.D. ; Anand, S.
Author_Institution :
Vel Tech Univ., Chennai, India
fYear :
2014
Firstpage :
1
Lastpage :
5
Abstract :
Accidents due to infringement of traffic rules has multiplied in number in developing countries and even in developed countries as well. The well known reason for this issue is violation of traffic rules i.e., driving the vehicle without proper license. The departments are in breach and unable to verify the identity of every driver on road. Hence defiance of traffic rules has become more common. In this paper a novel approach which overcomes the drawbacks of existing verification methodologies is proposed. The method uses Iris Scanning technology of biometrics which is evident to be a more reliable one. Using a helmet (for two wheelers) and a glass (for four wheelers), the iris pattern of the driver is continuously scanned and processed by a specially designed system. A smart driving license which is embedded with the iris pattern of the driver is already inserted in the provided system. The novelty of the proposed design is that the engine of the vehicle opens only when the iris pattern of the driver matches with the pattern in the license. When a mismatch occurs the engine shuts down itself. As the pattern is continuously scanned, a license cannot be used by another personality. In future, driving the vehicle without license can be completely eradicated using the proposed design.
Keywords :
field programmable gate arrays; image matching; intelligent transportation systems; iris recognition; road traffic; road vehicles; smart cards; FPGA; biometrics; driver iris pattern; iris scanning approach; pattern matching; smart card based license management; smart driving license; traffic rules infringement; traffic rules violation; vehicle driving; vehicle engine; verification methodologies; Iris recognition; Licenses; Random access memory; Roads; Smart cards; Vehicles; biometrics; iris pattern processing; license management; smart card;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Science Engineering and Management Research (ICSEMR), 2014 International Conference on
Print_ISBN :
978-1-4799-7614-0
Type :
conf
DOI :
10.1109/ICSEMR.2014.7043580
Filename :
7043580
Link To Document :
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