DYNAMIC NUMBER PLATE RECOGNISATION USING GENETIC ALGORITHMS

A new genetic algorithm (GA) is used to detect the locations of the License Plate (LP) symbols. Adaptive threshold method has been used to overcome the dynamic changes of illumination conditions when converting one image into binary. The detection stage of the LP is the most critical step in an automatic vehicle identification system Connected component analysis technique (CCAT) is used to detect candidate objects inside the unknown image. Encouraging results with 96.8% overall accuracy have been reported for two different datasets having variability in orientation, scaling, plate location, illumination and complex background.