Abstract
Automatic License Plate Recognition (ALPR) is the extraction of vehicle license plate information from an image or a sequence of images or video as input. A learning based approach plays a very important role in recognition process. ALPR system consists of four modules named as Acquisition of an image, localization of license plate, segmentation of an image and character recognition of license plate. Recognition module helps in recognition of character that is present on license plate. Template Matching, Neural network (NN), Support Vector Machine (SVM) etc. can be used as recognition process. This paper presents different methods of character recognition in an Automatic License Plate Recognition system (ALPR). Recognition techniques are presented along with their advantages and disadvantages. The methods are categorized according to their response, accuracy and faster response. The future foresees for researchers are also given at the end of the paper.
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