Vietnam License Plate Recognition System based on Edge Detection and Neural Networks
Cited by
Export citation
- BibTex
- RIS
- TXT
@Article{JICS-8-027,
author = {VinhDuMAI , Duoqian M IAOand Ruizhi WANG},
title = {Vietnam License Plate Recognition System based on Edge Detection and Neural Networks},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {8},
number = {1},
pages = {027--040},
abstract = {This paper proposed an improved Automatic License Plate Recognition (ALPR) system for all
types of Vietnam license plates (LP), which consists of three modules: license plate location (LPL),
characters segmentation and characters recognition. In the LPL module, we have combined edge detection,
image subtraction, mathematical morphology, radon transform, interpolation and specific characteristics of
Vietnam LP to locate exact LP region. In the characters segmentation module, we have used peak-to-valley
method and statistical parameters of Vietnam LP to segment characters & numbers in one-row & two-row
types of Vietnam LP. In the characters recognition module, we have used a Multilayer Perceptron (MLP)
neural network and back-propagation (BP) algorithm to recognize characters & numbers of Vietnam LP, two
MLP networks used independent for characters & numbers and MLP has trained with noises in the training
task. Character & number images processed by the pre-processing task, which obtained high quality of
character & number images for the using network task to improve accuracy of the system. We have
implemented our ALPR system on 700 Vietnam vehicle images taken from actual system with different
conditions such as lightening conditions (night & day), license angles, illumination, size and type, colors and
reflected light. Our method is more effective than some existing methods and efficiency of computing time &
accuracy is improved and very satisfied for all types of Vietnam LP and Vietnam environment.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22626.html}
}
TY - JOUR
T1 - Vietnam License Plate Recognition System based on Edge Detection and Neural Networks
AU - VinhDuMAI , Duoqian M IAOand Ruizhi WANG
JO - Journal of Information and Computing Science
VL - 1
SP - 027
EP - 040
PY - 2024
DA - 2024/01
SN - 8
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22626.html
KW - License plate location, Characters segmentation, Characters recognition, Automatic license
plate recognition, Artificial neural network.
AB - This paper proposed an improved Automatic License Plate Recognition (ALPR) system for all
types of Vietnam license plates (LP), which consists of three modules: license plate location (LPL),
characters segmentation and characters recognition. In the LPL module, we have combined edge detection,
image subtraction, mathematical morphology, radon transform, interpolation and specific characteristics of
Vietnam LP to locate exact LP region. In the characters segmentation module, we have used peak-to-valley
method and statistical parameters of Vietnam LP to segment characters & numbers in one-row & two-row
types of Vietnam LP. In the characters recognition module, we have used a Multilayer Perceptron (MLP)
neural network and back-propagation (BP) algorithm to recognize characters & numbers of Vietnam LP, two
MLP networks used independent for characters & numbers and MLP has trained with noises in the training
task. Character & number images processed by the pre-processing task, which obtained high quality of
character & number images for the using network task to improve accuracy of the system. We have
implemented our ALPR system on 700 Vietnam vehicle images taken from actual system with different
conditions such as lightening conditions (night & day), license angles, illumination, size and type, colors and
reflected light. Our method is more effective than some existing methods and efficiency of computing time &
accuracy is improved and very satisfied for all types of Vietnam LP and Vietnam environment.
VinhDuMAI , Duoqian M IAOand Ruizhi WANG. (2024). Vietnam License Plate Recognition System based on Edge Detection and Neural Networks.
Journal of Information and Computing Science. 8 (1).
027-040.
doi:
Copy to clipboard