A car license plate recognition system (CLPR-system) has been developed to identib vehicles by the contents of their license plate for speed-limit enforcement. This type of application puts high demands on the reliability of the CLPR-system. A combination of neural andfizzy techniques is used to guarantee a very low error rate at an acceptable recognition rate. First experiments along highways in the Netherlands show that the system has an error rate of 0.02% at a recognition rate of 98.51%. These results are also compared with otherpublished CLPR-systems.