TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A Method of License Plate Location and Character Recognition based on CNN |
| 영문제목(English Title) |
A Method of License Plate Location and Character Recognition based on CNN |
| 저자(Author) |
Wei Fang
Weinan Yi
Lin Pang
Shuonan Hou
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| 원문수록처(Citation) |
VOL 14 NO. 08 PP. 3480 ~ 3500 (2020. 08) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
At the present time, the economy continues to flourish, and private cars have become the means of choice for most people. Therefore, the license plate recognition technology has become an indispensable part of intelligent transportation, with research and application value. In recent years，the convolution neural network for image classification is an application of deep learning on image processing. This paper proposes a strategy to improve the YOLO model by studying the deep learning convolutional neural network (CNN) and related target detection methods, and combines the OpenCV and TensorFlow frameworks to achieve efficient recognition of license plate characters. The experimental results show that target detection method based on YOLO is beneficial to shorten the training process and achieve a good level of accuracy
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| 키워드(Keyword) |
CNN
YOLO
character recognition
license plate recognition
target detection
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| 파일첨부 |
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