A Novel method for license plate location
Jiawen Song, Chuang Zhu, Xiaodong Xie, Yuan Li, Meng Wang, Huizhu Jia
Available Online May 2018.
- https://doi.org/10.2991/amcce-18.2018.133How to use a DOI?
- license plate, Sobel filter, hsv colour space.
- license plate location is one of the key steps for license plate recognition. With license plate recognition technology, police can better manage vehicle and this technique also give convenience to application such as parking fee charge. In this paper, we propose a novel method to locate license plate of china in complicate environment. First, we change the RGB image into grey-scale image. Then, we apply Sobel operator on the grey-scale image to get its Sobel edge image. After that the Sobel edge image is change into a binary image in which each pixels of the image are decided by statistic its variance in nearby vertical and horizontal pixels. Base on the binary image above, the algorithm locates the candidate boxes and produces a list for them. Next, we select the boxes above by using hsv colour space and then merge the boxes base on their location. At last, the unreasonable boxes are removed and the final location of license plates produced. Our method has outperformed two types of license plate location products in a small surveillance dataset and achieved a fast and high precision location result compared with the-state-of-art.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jiawen Song AU - Chuang Zhu AU - Xiaodong Xie AU - Yuan Li AU - Meng Wang AU - Huizhu Jia PY - 2018/05 DA - 2018/05 TI - A Novel method for license plate location BT - 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018) PB - Atlantis Press SP - 762 EP - 767 SN - 2352-5401 UR - https://doi.org/10.2991/amcce-18.2018.133 DO - https://doi.org/10.2991/amcce-18.2018.133 ID - Song2018/05 ER -