［1］Raus M,Kreft L.Reading car licenseplates by the use of
[2]
［2］artificial neural networks.In: Proceedings of the 1995 IEEE 38th Midwest Symposiumon Circuits and Systems,NJ,USA: IEEE.1995,Part 1 (of 2): 538～541.
[3]
［4］recognition using gray-scale morphology.In: Proceedings of the 1995 IEEEInternational Symposium on Industrial Electronics,NJ,USA: IEEE.1995,Part 1 (of 2): 394～399.
[4]
［7］Auty G et al. Image acquisition system for traffic monitoringapplications.SPIE,1995,2416: 119～133.
[5]
［8］Comelli P et al. Optical recognition of motor vehicle license plates.IEEETransactions on Vehicular Technology,1995,44(4):790～799.
[6]
［10］Hwang et al. PC-based car license plate reader.SPIE 1993,1823: 272～283.
[7]
［3］Poon et al. Robust vision system for vehicle license plate
[8]
［5］Kamat V,Ganesan S.An efficient implementation of the Hough transform for detectingvehicle license plates using DSP\'S.In: Proceedings of Real-Time Technology andApplications Symposium,CA,USA: IEEE Computer Society Press.1995：58～59.
[9]
［6］Byoung T C et al. A method to extract vehicle number plates by applying signalprocessing techniques.Journal of the Korean Institute of Telematics andElectronics,1995,30B(7): 92～101.
[10]
［9］Kanayama K et al. Masanobu development of vehicle-license number recognition systemusing real-time image processing and its application to travel-time measurement.In: 41stIEEE Vehicular Technology Conference,NJ,USA: IEEE Service Center.1991：798～804.
