Vehicle license plate detection and recognition using symbol analysis

License plate detection and recognition is one of the most important aspects of applying computer techniques towards intelligent transportation systems. Detecting the accurate location of a license plate from a vehicle image is the most crucial step of a license plate detection system. This paper describes a proposing of a new region-based license plate detection method based on a symbol analysis. Throughout the detection and recognition the original image is filtered, transformed to gray-scale image and thresholded. In the next step the best candidates of regions are selected. The whole system was tested on fifty different cars with various license plates. The indication rate of success recognition is eighty eight percent.