A Study On Automatic Recognition Of Vehicle Plate

The thesis studies on automatic recognition of vehicle plate from complicate background. Based on diving into image manipulation, soft algorithm and other theories related, for each stage of the object recognition, including extraction of license plate, segmentation of character, character recognition by LVQ2 NN and the optimization of LVQ NN weight, the thesis puts forward the method of automatic extraction of license plate based on sequential mark of regions and compound extremum morphology filter, researches into text recognition by NN and optimizes the LVQ weight by Genetic Algorithm.. These two methods are effective. The methods of this thesis are also useful to resolving other problems of image processing.The highlights of the thesis include:1) image manipulation and theory basis of recognition2) automatic extraction of license plates3) pretreatment before recognition4) character recognition by LVQ25) Genetic Algorithm applied to LVQ...