License Plate Detection and Recognition Using a Dual-Camera Module in a Large space

碩士 === 中華大學 === 資訊工程學系碩士班 === 95 === In this study, a calibrated dual-camera device, a fixed camera and a pan-tilt-zoom camera, is setup to monitor moving vehicles in an open space. This device not only tracks multiple targets but also gets the license plate images with high quality. Next, a simply...

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Bibliographic Details
Main Authors: Chengta Hsieh, 謝正達
Other Authors: Chang-Hsing Lee
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/17867602066071188902
Description
Summary:碩士 === 中華大學 === 資訊工程學系碩士班 === 95 === In this study, a calibrated dual-camera device, a fixed camera and a pan-tilt-zoom camera, is setup to monitor moving vehicles in an open space. This device not only tracks multiple targets but also gets the license plate images with high quality. Next, a simply image processing method is used to locate the license plate and a back-propagation Neural Network is designed to be a character classifier for efficiently recognizing the alphabets on them. Two working environments were setup at the entrance of university and a pedestrian-only region in campus. Some experimental results are given to show the validity of the proposed approach.