Waroy, Victor Petrus and Wibirama, Sunu and Ardiyanto, Igi (2021) Research on Skewed License Plate Recognition: A Systematic Literature Review. In: 2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE), 20-21 October 2021, Banda Aceh.
Full text not available from this repository. (Request a copy)Abstract
A plate recognition system is an application of computer vision technologies for detecting and recognizing vehicle license plates. Several disturbances cause the system to be inaccurate in detecting and recognizing vehicle license plates. One of several disturbances is perspective distortion due to image taking with an incorrect camera angle. This distortion causes the captured license plate to be bent from its actual shape. In order to overcome perspective distortion, a variety of techniques have been developed to increase the plate recognitions system's ability. However, to the authors' best knowledge, there is no review paper that discusses various studies on handling perspective distortion in plate recognition systems. Here we present a systematic literature review to help researchers in addressing the recognition of skewed license plates. This study compares several studies published between 2015 and 2020 on plate recognition techniques, especially those related to skewed license plate recognition. The search process was conducted on databases of research literatures and resulted in 25 primary studies. This paper also identifies various datasets and methods to obtain a comprehensive understanding as a reference in developing the plate recognition algorithm. © 2021 IEEE.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Cited by: 0 |
Uncontrolled Keywords: | Optical character recognition; Camera angles; Computer vision technology; License plate skew; Licenses plate recognition; Perspective distortion; Plate recognition; Recognition systems; Review papers; Systematic literature review; Vehicle license plates; License plates (automobile) |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering > Electrical and Information Technology Department |
Depositing User: | Sri JUNANDI |
Date Deposited: | 25 Oct 2024 00:37 |
Last Modified: | 25 Oct 2024 00:37 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/8633 |