@inproceedings{9c2870aedfe04669af605e57a24f551e,
title = "Vehicle licence plate recognition using super-resolution technique",
abstract = "Due to the development of economy and technology, the people's demands on cars are growing and so are the problems, such as finding stolen car, banning violation and parking lot management. It will be time-consuming and low-efficiency if we do those jobs only by human because of the limitation of human being's concentration. Therefore, it has been a popular topic to develop intelligent monitoring system under new video technology within a decade. There are still many rooms for future development and application in the car license detection and recognition fields. For finding stolen car, we can integrate car license detection system and road monitoring system to analyze the videos and trace the objects, so we can gain high-efficiency and low-cost results. For parking lot management system, we can have the result of access management and automatic charge to reduce the human resource through car license recognition system. Automated toll of highway can be done through car license recognition system as well. Because the car license recognition system is mostly applied to security monitoring field and business purposes, the demand of the accuracy is quite strict. There are causes which make the inaccuracy of the license recognition, such as the lack of video resolution, too small license due to the distance and the light and shadow. We will discuss the license recognition system and how to use apply the super-resolution to overcome those above problems.",
keywords = "intelligent monitoring system, license Segmentation, license detection, super-resolution",
author = "Chuang, {Chi Hung} and Tsai, {Luo Wei} and Deng, {Ming Shan} and Hsieh, {Jun Wei} and Fan, {Kuo Chin}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014 ; Conference date: 26-08-2014 Through 29-08-2014",
year = "2014",
month = oct,
day = "8",
doi = "10.1109/AVSS.2014.6918703",
language = "???core.languages.en_GB???",
series = "11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "411--416",
booktitle = "11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014",
}