@conference {Tascini1998278,
	title = {Unauthorized access identification in restricted areas},
	booktitle = {Proceedings of SPIE - The International Society for Optical Engineering},
	volume = {3364},
	year = {1998},
	note = {cited By 0},
	pages = {278-286},
	abstract = {The paper describes a system to control vehicle accesses in restricted areas. The signalling of vehicles whose license- plates do not belong to a specific database is the aim of the system. The adaptation to different environmental conditions, and the identification of a vehicle by processing the license- plate pattern as a whole, without considering the recognition of the characters, are its two main characteristics. The system implements a recognition engine constituted by two modules. First, the system analyzes the video-recorded sequences to select a frame in which the license-plate satisfies pre-defined constraints, and extracts the license- plate template on which the matching with the model templates stored in the database will be performed. Second, vehicle identification is performed by a genetic template matching that, without requiring a high computational complexity, provides adaptation to normal environmental variations by exploiting learning capabilities. The implemented system, forced to distinguish only between authorized and unauthorized vehicles according to a threshold in the genetic fitness function, shows robust performance on Italian cars, but it is adaptable to different license-plate models, and is independent from outdoor conditions. {\textcopyright}2003 Copyright SPIE - The International Society for Optical Engineering.},
	doi = {10.1117/12.317481},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-62249155465\&partnerID=40\&md5=c5bfb42de0062e33b5145339e0517adb},
	author = {Guido Tascini and A. Carbonaro and Primo Zingaretti}
}
