@conference {7043580,
	title = {FPGA implementaion: Smart card based license management using iris scanning approach},
	booktitle = {2014 International Conference on Science Engineering and Management Research (ICSEMR)},
	year = {2014},
	month = {Nov},
	pages = {1-5},
	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 = {biometrics, driver iris pattern, field programmable gate arrays, FPGA, image matching, intelligent transportation systems, iris pattern processing, iris recognition, iris scanning approach, license management, Licenses, pattern matching, Random access memory, road traffic, road vehicles, Roads, smart card, smart card based license management, smart cards, smart driving license, traffic rules infringement, traffic rules violation, vehicle driving, vehicle engine, Vehicles, verification methodologies},
	doi = {10.1109/ICSEMR.2014.7043580},
	author = {L. L. Laudis and A. K. Sinha and P. D. Saravanan and Anand, S.}
}
