Implementation for the Recognition of Numbers and Letters of Car License Plate

Autor: Kuo-Chung Lin, 林國忠
Rok vydání: 2010
Druh dokumentu: 學位論文 ; thesis
Popis: 98
The thesis is focused on the recognition of numbers and letters of car license plate; first of all, the position of the license plate in a photo image must be detected. The thesis proposes that once the position of the license plate is preliminarily detected, a secondary detection method for finding the accurate position of the license plate will be proceeding. The method is to use a template matching method to looking over the entire image to find the maximum values to achieve the accurate position for the facilitation of the subsequent recognition. The templates used in the template matching are built with the sample template database including the numbers from 0 to 9 and the letters from A to Z. Next, using the accurate position obtained from the secondary position detection to segment license plate into a single character, loading and scaling the templates of alphabets and numbers to match the size in accordance with the segmentation of a single character, continually, the sum of difference error square between each template frame and the segmentation of a single character is proceeded one by one to search for the minimum values that is the final result of the segmentation. Afterwards, keeping the matching processes until the six segmentations are calculated completely and the license plate can be reorganized by the recognition results to output the recognized license plate.
Databáze: Networked Digital Library of Theses & Dissertations