Abstract
We investigated the potential use of synthetic data for automatic license plate detection and recognition by detecting and clustering each of the characters on the license plates. We used 36 cascading classifiers (26 letters + 10 numbers) as an individual character to detect synthetically generated license plates. We trained our cascade classifier using a Local Binary Pattern (LBP) as the visual descriptor. After detecting all the characters individually, an investigation has been established in identifying and utilizing a clustering algorithm in grouping these characters for valid license plate recognition. Two clustering algorithms have been considered including Hierarchical and K-means. Investigation results revealed that the hierarchical clustering algorithm approach produces better results in clustering the detecting characters than the K-means. Inaccuracy in the actual detection and recognition of license plates is largely attributed to the false detections in some of the 36 classifiers used in the study. To improve the precision in the detection of plate numbers, it is recommended to have a good classifier for each character detection and utilization of a good clustering algorithm. The proponents concluded that detecting and clustering each character was not an effective approach, however the use of synthetic data in training the classifiers shows promising results.
Keywords: Cascading Classifiers, Synthetic Data, Local Binary Pattern, License Plate Recognition
Authors
Joren Mundane Pacaldo [1] ; Tan Chi Wee [2] ; Lee Wah Pheng [3] ; Dustin Gerard Ancog [4] ; Haroun Al Raschid Christopher Macalisang [5]
[1][2][3] Faculty of Computing and Information Technology, Tunku Abdul Rahman University of Management and Technology, Kampus Utama, Jalan Genting Kelang, 53300, Wilayah Persekutuan Kuala Lumpur, Malaysia
[4][5] College of Computer Studies, Mindanao State University Iligan Institute of Technology, Philippines
[1] jorenmap-wr21@student.tarc.edu.my
Cite Me
Plain Text:
M.P.Joran, C.W.Tan, W.P.Lee, D.G.Ancog, A.R.C.M.Haroun, "Utilizing Synthetically-Generated License Plate Automatic Detection and Recognition of Motor Vehicle Plates in Philippines," International Conference on Digital Transformation and Applications (ICDXA) 2021, 2021, pp. 204-208, doi: https://doi.org/10.56453/icdxa.2021.1022.
BibTex:
@INPROCEEDINGS{ICDXA202122,
author={Joren, Mundane Pacaldo and Tan, Chi Wee and Lee, Wah Pheng and Ancog, Dustin Gerard and Haroun, Al Raschid Christopher Macalisang},
booktitle={International Conference on Digital Transformation and Applications (ICDXA) 2021},
title={Utilizing Synthetically-Generated License Plate Automatic Detection and Recognition of Motor Vehicle Plates in Philippines},
year={2021},
volume={},
number={},
pages={204-208},
doi={https://doi.org/10.56453/icdxa.2021.1022}}
