Aiming at plate texture and plate shape of vehicle image

an algorithm applied to license plate extraction of vehicle image based on mathematical morphology is introduced. It adapts to the complicated background of vehicle image and the variety of illuminating conditions by adjusting threshold

while two-dimensional morphological filtering method. Moreover

point operation of mathematical morphology is inverted into line operation of mathematical morphology

The binarization method is based on one-dimensional edge detection to effectively utilize the plate shape and plate texture feature of vehicle images. It is much more robust and faster than the traditional thresholding methods and edge detecting operator methods. We have completed a series of experiments under different conditions. The experiment results show that the segmentation effects and it's orientation accuracy are improved significantly

so the proposed method is very effective for segmenting and locating noisy vehicle license plates.