Patents by Inventor Dengkui ZHANG

Dengkui ZHANG has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • End-to-end lightweight method and apparatus for license plate recognition
    Patent number: 10755120
    Abstract: Embodiments of the present invention provide an end-to-end lightweight method and apparatus for license plate recognition. The method comprises: obtaining an image to be recognized; obtaining a number of a license plate in the image to be recognized and position coordinates of the license plate in the image to be recognized on the basis of the image to be recognized and a pre-trained target license plate recognition model, wherein the target license plate recognition model comprises a target feature extraction network, a target region candidate localization network, a target super-resolution generation network and a target recurrent neural network. Because in this solution, once an image to be recognized is input into the target license plate recognition model, the target license plate recognition model can output the license plate number and position coordinates of the license plate in the image to be recognized, one realizes an end-to-end model.
    Type: Grant
    Filed: September 19, 2018
    Date of Patent: August 25, 2020
    Assignee: BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS
    Inventors: Huiyuan Fu, Huadong Ma, Yifan Zhang, Yu Cao, Dengkui Zhang
  • End-To-End Lightweight Method And Apparatus For License Plate Recognition
    Publication number: 20190095730
    Abstract: Embodiments of the present invention provide an end-to-end lightweight method and apparatus for license plate recognition. The method comprises: obtaining an image to be recognized; obtaining a number of a license plate in the image to be recognized and position coordinates of the license plate in the image to be recognized on the basis of the image to be recognized and a pre-trained target license plate recognition model, wherein the target license plate recognition model comprises a target feature extraction network, a target region candidate localization network, a target super-resolution generation network and a target recurrent neural network. Because in this solution, once an image to be recognized is input into the target license plate recognition model, the target license plate recognition model can output the license plate number and position coordinates of the license plate in the image to be recognized, one realizes an end-to-end model.
    Type: Application
    Filed: September 19, 2018
    Publication date: March 28, 2019
    Inventors: Huiyuan FU, Huadong MA, Yifan ZHANG, Yu CAO, Dengkui ZHANG