Automatic Malaysia license plate recognition using deep learning
Since 2008, Malaysia government has initiated the multi-lane free flow (MLFF) highway plans to improve traffic quality. To support the initiative, a robust license plate recognition system is required to track the highway vehicle passing the toll as MLFF do not have barrier gate to control the vehic...
Saved in:
Main Author: | Tay, Choon Kiat |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/25990/1/Automatic%20Malaysia%20license%20plate%20recognition%20using%20deep%20learning.pdf http://eprints.utem.edu.my/id/eprint/25990/2/Automatic%20Malaysia%20license%20plate%20recognition%20using%20deep%20learning.pdf http://eprints.utem.edu.my/id/eprint/25990/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=121196 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic License Plate Recognition Software for Malaysian
Vehicle License Plates
by: Zakaria, Abdul Aziz
Published: (2016) -
Development of automated gate using automatic license plate recognition system
by: Luai Taha Ahmed, Al-Mahbashi, et al.
Published: (2018) -
Framework for automatic Malaysian license plate identification system
by: Tan, Jinn Li
Published: (2013) -
Connected component analysis integrated edge based technique for automatic vehicular license plate recognition framework
by: Arafat, Md Yeasir, et al.
Published: (2020) -
Development of automated gate using automatic license plate ecognition system
by: Luai Taha Ahmed, Al-Mahbashi, et al.
Published: (2019)