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Title: | Developing a license plate recognition system using neural network | Authors: | Nguyen Huu Minh Tri | Keywords: | Neural network;Recognition system | Issue Date: | 2020 | Publisher: | Vietnamese-German University | Abstract: | The bachelor thesis is the implementation of an idea for the license plate recognition system which using neural network. This project contains two main parts; The first one is the preprocessing image and the other part is the training neural network for license plate recognition from those inputs from pre-processing process. As the preprocessing image part has been done in the previous senior project, I have taken the result from the senior project to develop the algorithm for the high accuracy plate localizing and digits segmentation. Subsequently, the neural network is built based on the dataset of modified handwritten digits, which was provided by the founder of MI-AI community, then the preprocessed output from the preprocessing image stage will be fitted and the system makes the prediction based on the pretrain dataset. The system aims to recognize the Vietnamese Auto License Plate from images which captured randomly of cars in Viet Nam, or pictures were captured from “Black-box-cam" or “Dashcam” on cars as database. The application of this system will support for Auto-Parking, AccessControl in specified area/region, and Journey Time Measurement, etc |
URI(1): | http://epub.vgu.edu.vn/handle/dlibvgu/985 |
Appears in Collections: | Electrical Engineering and Information Technology (EEIT) |
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Developing a license plate recognition system using neural network.pdf | 14.57 MB | Adobe PDF |
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