Designing of Licensed Number Plate Recognition system using hybrid technique from neural network & template matching

License Plate Recognition (LPR) is an automatic system which is able to recognize a license number plate. It is an effective monitoring method that uses optical character recognition (OCR) on images to read vehicle number plates. Genetic neural network used such type of system for developing many challenges. The system used in highway computerized toll aggregation and surveilling the movements of road traffic. Licensed Number Plate Recognition System is very important component of Intelligent Transportation System. Using morphological & connected component element the image of car number plate has been extraction to show the character segmentation and at last each individual character is matched with neural data base and that vehicle has been recognized. Feed forward Back-propagation neural network (FFBPNN) is selected as most powerful tool to perform the recognition process. The main focus in this paper on three module: license plate location (LPL), characters segmentation and characters recognition using neural network. The research work begins by the Pre-processing, extraction of an image, connected component element of an image and finally recognition of image by the feed forward Back Propagation Neural Network.